diff --git a/.changes/unreleased/Features-20231008-195608.yaml b/.changes/unreleased/Features-20231008-195608.yaml new file mode 100644 index 0000000000..bd16ae0233 --- /dev/null +++ b/.changes/unreleased/Features-20231008-195608.yaml @@ -0,0 +1,6 @@ +kind: Features +body: Add Trino support to the MetricFlow. +time: 2023-10-08T19:56:08.427006-06:00 +custom: + Author: sarbmeetka + Issue: "207" diff --git a/.github/workflows/cd-sql-engine-tests.yaml b/.github/workflows/cd-sql-engine-tests.yaml index 41923d54b9..c509cea11e 100644 --- a/.github/workflows/cd-sql-engine-tests.yaml +++ b/.github/workflows/cd-sql-engine-tests.yaml @@ -91,6 +91,29 @@ jobs: additional-pytest-options: ${{ env.ADDITIONAL_PYTEST_OPTIONS }} make-target: "test-databricks" + trino-tests: + # Trino tests run on a local service container, which obviates the need for separate Environment hosting. + # We run them here instead of in the CI unit test suite because they are a bit slower, and because in future + # we may choose to execute them against a hosted instance, at which point this config will look like the other + # engine configs in this file. + name: Trino Tests + if: ${{ github.event.action != 'labeled' || github.event.label.name == 'Run Tests With Other SQL Engines' }} + runs-on: ubuntu-latest + services: + trino: + image: trinodb/trino + ports: + - 8080:8080 + steps: + - name: Check-out the repo + uses: actions/checkout@v3 + + - name: Test w/ Python 3.11 + uses: ./.github/actions/run-mf-tests + with: + python-version: "3.11" + make-target: "test-trino" + remove-label: name: Remove Label After Running Tests runs-on: ubuntu-latest diff --git a/Makefile b/Makefile index 41eb3d1d16..92dfc2a12a 100644 --- a/Makefile +++ b/Makefile @@ -59,6 +59,9 @@ test-snowflake: populate-persistent-source-schema-snowflake: hatch -v run snowflake-env:pytest -vv $(ADDITIONAL_PYTEST_OPTIONS) $(USE_PERSISTENT_SOURCE_SCHEMA) $(POPULATE_PERSISTENT_SOURCE_SCHEMA) +.PHONY: test-trino +test-trino: + hatch -v run trino-env:pytest -vv -n $(PARALLELISM) $(ADDITIONAL_PYTEST_OPTIONS) metricflow/test/ .PHONY: lint lint: diff --git a/dbt-metricflow/pyproject.toml b/dbt-metricflow/pyproject.toml index 99ac4043d4..5715f2b79f 100644 --- a/dbt-metricflow/pyproject.toml +++ b/dbt-metricflow/pyproject.toml @@ -50,6 +50,9 @@ redshift = [ snowflake = [ "dbt-snowflake~=1.7.0" ] +trino = [ + "dbt-trino~=1.7.0" +] [tool.hatch.build.targets.sdist] exclude = [ diff --git a/metricflow/cli/dbt_connectors/adapter_backed_client.py b/metricflow/cli/dbt_connectors/adapter_backed_client.py index 09180aabca..cc15d521a9 100644 --- a/metricflow/cli/dbt_connectors/adapter_backed_client.py +++ b/metricflow/cli/dbt_connectors/adapter_backed_client.py @@ -21,6 +21,7 @@ from metricflow.sql.render.redshift import RedshiftSqlQueryPlanRenderer from metricflow.sql.render.snowflake import SnowflakeSqlQueryPlanRenderer from metricflow.sql.render.sql_plan_renderer import SqlQueryPlanRenderer +from metricflow.sql.render.trino import TrinoSqlQueryPlanRenderer from metricflow.sql.sql_bind_parameters import SqlBindParameters from metricflow.sql_request.sql_request_attributes import SqlJsonTag, SqlRequestId, SqlRequestTagSet from metricflow.sql_request.sql_statement_metadata import CombinedSqlTags, SqlStatementCommentMetadata @@ -42,6 +43,7 @@ class SupportedAdapterTypes(enum.Enum): REDSHIFT = "redshift" BIGQUERY = "bigquery" DUCKDB = "duckdb" + TRINO = "trino" @property def sql_engine_type(self) -> SqlEngine: @@ -58,6 +60,8 @@ def sql_engine_type(self) -> SqlEngine: return SqlEngine.SNOWFLAKE elif self is SupportedAdapterTypes.DUCKDB: return SqlEngine.DUCKDB + elif self is SupportedAdapterTypes.TRINO: + return SqlEngine.TRINO else: assert_values_exhausted(self) @@ -76,6 +80,8 @@ def sql_query_plan_renderer(self) -> SqlQueryPlanRenderer: return SnowflakeSqlQueryPlanRenderer() elif self is SupportedAdapterTypes.DUCKDB: return DuckDbSqlQueryPlanRenderer() + elif self is SupportedAdapterTypes.TRINO: + return TrinoSqlQueryPlanRenderer() else: assert_values_exhausted(self) @@ -213,7 +219,18 @@ def dry_run( request_id = SqlRequestId(f"mf_rid__{random_id()}") connection_name = f"MetricFlow_dry_run_request_{request_id}" # TODO - consolidate to self._adapter.validate_sql() when all implementations will work from within MetricFlow - if self.sql_engine_type is SqlEngine.BIGQUERY: + + # Trino has a bug where explain command actually creates table. Wrapping with validate to avoid this. + # See https://github.com/trinodb/trino/issues/130 + if self.sql_engine_type is SqlEngine.TRINO: + with self._adapter.connection_named(connection_name): + # Either the response will be bool value or a string with error message from Trino. + result = self._adapter.execute(f"EXPLAIN (type validate) {stmt}", auto_begin=True, fetch=True) + has_error = False if str(result[0]) == "SUCCESS" else True + if has_error: + raise DbtDatabaseError("Encountered error in Trino dry run.") + + elif self.sql_engine_type is SqlEngine.BIGQUERY: with self._adapter.connection_named(connection_name): self._adapter.validate_sql(stmt) else: diff --git a/metricflow/protocols/sql_client.py b/metricflow/protocols/sql_client.py index 8497002559..b9e9588ac4 100644 --- a/metricflow/protocols/sql_client.py +++ b/metricflow/protocols/sql_client.py @@ -23,6 +23,7 @@ class SqlEngine(Enum): POSTGRES = "Postgres" SNOWFLAKE = "Snowflake" DATABRICKS = "Databricks" + TRINO = "Trino" class SqlClient(Protocol): diff --git a/metricflow/sql/render/trino.py b/metricflow/sql/render/trino.py new file mode 100644 index 0000000000..b767240f21 --- /dev/null +++ b/metricflow/sql/render/trino.py @@ -0,0 +1,126 @@ +from __future__ import annotations + +from typing import Collection + +from dateutil.parser import parse +from dbt_semantic_interfaces.enum_extension import assert_values_exhausted +from dbt_semantic_interfaces.type_enums.date_part import DatePart +from dbt_semantic_interfaces.type_enums.time_granularity import TimeGranularity +from typing_extensions import override + +from metricflow.sql.render.expr_renderer import ( + DefaultSqlExpressionRenderer, + SqlExpressionRenderer, + SqlExpressionRenderResult, +) +from metricflow.sql.render.sql_plan_renderer import DefaultSqlQueryPlanRenderer +from metricflow.sql.sql_bind_parameters import SqlBindParameters +from metricflow.sql.sql_exprs import ( + SqlBetweenExpression, + SqlGenerateUuidExpression, + SqlPercentileExpression, + SqlPercentileFunctionType, + SqlSubtractTimeIntervalExpression, +) + + +class TrinoSqlExpressionRenderer(DefaultSqlExpressionRenderer): + """Expression renderer for the Trino engine.""" + + @property + @override + def supported_percentile_function_types(self) -> Collection[SqlPercentileFunctionType]: + return { + SqlPercentileFunctionType.APPROXIMATE_CONTINUOUS, + } + + @override + def visit_generate_uuid_expr(self, node: SqlGenerateUuidExpression) -> SqlExpressionRenderResult: + return SqlExpressionRenderResult( + sql="uuid()", + bind_parameters=SqlBindParameters(), + ) + + @override + def visit_time_delta_expr(self, node: SqlSubtractTimeIntervalExpression) -> SqlExpressionRenderResult: + """Render time delta for Trino, require granularity in quotes and function name change.""" + arg_rendered = node.arg.accept(self) + + count = node.count + granularity = node.granularity + if granularity == TimeGranularity.QUARTER: + granularity = TimeGranularity.MONTH + count *= 3 + return SqlExpressionRenderResult( + sql=f"DATE_ADD('{granularity.value}', -{count}, {arg_rendered.sql})", + bind_parameters=arg_rendered.bind_parameters, + ) + + @override + def visit_percentile_expr(self, node: SqlPercentileExpression) -> SqlExpressionRenderResult: + """Render a percentile expression for Trino.""" + arg_rendered = self.render_sql_expr(node.order_by_arg) + params = arg_rendered.bind_parameters + percentile = node.percentile_args.percentile + + if node.percentile_args.function_type is SqlPercentileFunctionType.APPROXIMATE_CONTINUOUS: + return SqlExpressionRenderResult( + sql=f"approx_percentile({arg_rendered.sql}, {percentile})", + bind_parameters=params, + ) + elif ( + node.percentile_args.function_type is SqlPercentileFunctionType.APPROXIMATE_DISCRETE + or node.percentile_args.function_type is SqlPercentileFunctionType.DISCRETE + or node.percentile_args.function_type is SqlPercentileFunctionType.CONTINUOUS + ): + raise RuntimeError( + "Discrete, Continuous and Approximate discrete percentile aggregates are not supported for Trino. Set " + + "use_approximate_percentile and disable use_discrete_percentile in all percentile measures." + ) + else: + assert_values_exhausted(node.percentile_args.function_type) + + @override + def visit_between_expr(self, node: SqlBetweenExpression) -> SqlExpressionRenderResult: + """Render a between expression for Trino. If the expression is a timestamp literal then wrap literals with timestamp.""" + rendered_column_arg = self.render_sql_expr(node.column_arg) + rendered_start_expr = self.render_sql_expr(node.start_expr) + rendered_end_expr = self.render_sql_expr(node.end_expr) + + bind_parameters = SqlBindParameters() + bind_parameters = bind_parameters.combine(rendered_column_arg.bind_parameters) + bind_parameters = bind_parameters.combine(rendered_start_expr.bind_parameters) + bind_parameters = bind_parameters.combine(rendered_end_expr.bind_parameters) + + # Handle timestamp literals differently. + if parse(rendered_start_expr.sql): + sql = f"{rendered_column_arg.sql} BETWEEN timestamp {rendered_start_expr.sql} AND timestamp {rendered_end_expr.sql}" + else: + sql = f"{rendered_column_arg.sql} BETWEEN {rendered_start_expr.sql} AND {rendered_end_expr.sql}" + + return SqlExpressionRenderResult( + sql=sql, + bind_parameters=bind_parameters, + ) + + @override + def render_date_part(self, date_part: DatePart) -> str: + """Render DATE PART for an EXTRACT expression. + + Override DAY_OF_WEEK in Trino to ISO date part to ensure all engines return consistent results. + """ + if date_part is DatePart.DOW: + return "DAY_OF_WEEK" + + return date_part.value + + +class TrinoSqlQueryPlanRenderer(DefaultSqlQueryPlanRenderer): + """Plan renderer for the Trino engine.""" + + EXPR_RENDERER = TrinoSqlExpressionRenderer() + + @property + @override + def expr_renderer(self) -> SqlExpressionRenderer: + return self.EXPR_RENDERER diff --git a/metricflow/test/fixtures/dbt_projects/metricflow_testing/profiles.yml b/metricflow/test/fixtures/dbt_projects/metricflow_testing/profiles.yml index 3285cb836b..99316d5df8 100644 --- a/metricflow/test/fixtures/dbt_projects/metricflow_testing/profiles.yml +++ b/metricflow/test/fixtures/dbt_projects/metricflow_testing/profiles.yml @@ -67,3 +67,14 @@ duckdb: dev: type: duckdb schema: "{{ env_var('DBT_ENV_SECRET_SCHEMA') }}" +trino: + target: dev + outputs: + dev: + type: trino + host: "{{ env_var('DBT_ENV_SECRET_HOST') }}" + port: "{{ env_var('DBT_PROFILE_PORT') | int }}" + user: "{{ env_var('DBT_ENV_SECRET_USER') }}" + password: "{{ env_var('DBT_ENV_SECRET_PASSWORD') }}" + catalog: "{{ env_var('DBT_ENV_SECRET_CATALOG') }}" + schema: "{{ env_var('DBT_ENV_SECRET_SCHEMA') }}" diff --git a/metricflow/test/fixtures/sql_client_fixtures.py b/metricflow/test/fixtures/sql_client_fixtures.py index b54e019f4d..7ab950bf9e 100644 --- a/metricflow/test/fixtures/sql_client_fixtures.py +++ b/metricflow/test/fixtures/sql_client_fixtures.py @@ -42,6 +42,9 @@ DBT_ENV_SECRET_PROJECT_ID = "DBT_ENV_SECRET_PROJECT_ID" DBT_ENV_SECRET_TOKEN_URI = "DBT_ENV_SECRET_TOKEN_URI" +# Trino is special, so it gets its own set of env vars. Keeping them split out here for consistency. +DBT_ENV_SECRET_CATALOG = "DBT_ENV_SECRET_CATALOG" + def __configure_test_env_from_url(url: str, password: str, schema: str) -> sqlalchemy.engine.URL: """Populates default env var mapping from a sqlalchemy URL string. @@ -163,6 +166,10 @@ def make_test_sql_client(url: str, password: str, schema: str) -> SqlClientWithD __configure_databricks_env_from_url(url, password=password, schema=schema) __initialize_dbt() return AdapterBackedDDLSqlClient(adapter=get_adapter_by_type("databricks")) + elif dialect == SqlDialect.TRINO: + __configure_test_env_from_url(url, password=password, schema=schema) + __initialize_dbt() + return AdapterBackedDDLSqlClient(adapter=get_adapter_by_type("trino")) else: raise ValueError(f"Unknown dialect: `{dialect}` in URL {url}") diff --git a/metricflow/test/fixtures/sql_clients/adapter_backed_ddl_client.py b/metricflow/test/fixtures/sql_clients/adapter_backed_ddl_client.py index 33e603bbc1..b0e99535fb 100644 --- a/metricflow/test/fixtures/sql_clients/adapter_backed_ddl_client.py +++ b/metricflow/test/fixtures/sql_clients/adapter_backed_ddl_client.py @@ -39,6 +39,7 @@ def create_table_from_dataframe( # This mirrors the SQLAlchemy schema detection logic in pandas.io.sql df = df.convert_dtypes() columns = df.columns + columns_to_insert = [] for i in range(len(df.columns)): # Format as "column_name column_type" @@ -63,7 +64,12 @@ def create_table_from_dataframe( elif type(cell) in [str, pd.Timestamp]: # Wrap cell in quotes & escape existing single quotes escaped_cell = self._quote_escape_value(str(cell)) - cells.append(f"'{escaped_cell}'") + # Trino requires timestamp literals to be wrapped in a timestamp() function. + # There is probably a better way to handle this. + if self.sql_engine_type is SqlEngine.TRINO and type(cell) is pd.Timestamp: + cells.append(f"timestamp '{escaped_cell}'") + else: + cells.append(f"'{escaped_cell}'") else: cells.append(str(cell)) @@ -93,6 +99,8 @@ def _get_type_from_pandas_dtype(self, dtype: str) -> str: if dtype == "string" or dtype == "object": if self.sql_engine_type is SqlEngine.DATABRICKS or self.sql_engine_type is SqlEngine.BIGQUERY: return "string" + if self.sql_engine_type is SqlEngine.TRINO: + return "varchar" return "text" elif dtype == "boolean" or dtype == "bool": return "boolean" diff --git a/metricflow/test/fixtures/sql_clients/common_client.py b/metricflow/test/fixtures/sql_clients/common_client.py index 4273d0d12e..ddda32aea8 100644 --- a/metricflow/test/fixtures/sql_clients/common_client.py +++ b/metricflow/test/fixtures/sql_clients/common_client.py @@ -14,6 +14,7 @@ class SqlDialect(ExtendedEnum): SNOWFLAKE = "snowflake" BIGQUERY = "bigquery" DATABRICKS = "databricks" + TRINO = "trino" T = TypeVar("T") diff --git a/metricflow/test/generate_snapshots.py b/metricflow/test/generate_snapshots.py index 3be91cb750..38eb97d3d7 100644 --- a/metricflow/test/generate_snapshots.py +++ b/metricflow/test/generate_snapshots.py @@ -28,6 +28,10 @@ "engine_url": postgres://...", "engine_password": "..." }, + "trino": { + "engine_url": trino://...", + "engine_password": "..." + }, } EOF ) @@ -69,6 +73,7 @@ class MetricFlowTestCredentialSetForAllEngines(FrozenBaseModel): # noqa: D big_query: MetricFlowTestCredentialSet databricks: MetricFlowTestCredentialSet postgres: MetricFlowTestCredentialSet + trino: MetricFlowTestCredentialSet @property def as_configurations(self) -> Sequence[MetricFlowTestConfiguration]: # noqa: D @@ -97,6 +102,10 @@ def as_configurations(self) -> Sequence[MetricFlowTestConfiguration]: # noqa: D engine=SqlEngine.POSTGRES, credential_set=self.postgres, ), + MetricFlowTestConfiguration( + engine=SqlEngine.TRINO, + credential_set=self.trino, + ), ) @@ -137,6 +146,7 @@ def run_tests(test_configuration: MetricFlowTestConfiguration) -> None: # noqa: or test_configuration.engine is SqlEngine.BIGQUERY or test_configuration.engine is SqlEngine.DATABRICKS or test_configuration.engine is SqlEngine.POSTGRES + or test_configuration.engine is SqlEngine.TRINO ): engine_name = test_configuration.engine.value.lower() os.environ["MF_TEST_ADAPTER_TYPE"] = engine_name diff --git a/metricflow/test/integration/query_output/test_cumulative_metrics.py b/metricflow/test/integration/query_output/test_cumulative_metrics.py index 026c840dd1..eeff2bf9a1 100644 --- a/metricflow/test/integration/query_output/test_cumulative_metrics.py +++ b/metricflow/test/integration/query_output/test_cumulative_metrics.py @@ -133,15 +133,18 @@ def test_cumulative_metric_with_non_adjustable_filter( it_helpers: IntegrationTestHelpers, ) -> None: """Tests a cumulative metric with a filter that cannot be adjusted to ensure all data is included.""" + # Handle ds expression based on engine to support Trino. + first_ds_expr = f"CAST('2020-03-15' AS {sql_client.sql_query_plan_renderer.expr_renderer.timestamp_data_type})" + second_ds_expr = f"CAST('2020-04-30' AS {sql_client.sql_query_plan_renderer.expr_renderer.timestamp_data_type})" + where_constraint = f"{{{{ TimeDimension('metric_time', 'day') }}}} = {first_ds_expr} or" + where_constraint += f" {{{{ TimeDimension('metric_time', 'day') }}}} = {second_ds_expr}" + query_result = it_helpers.mf_engine.query( MetricFlowQueryRequest.create_with_random_request_id( metric_names=["trailing_2_months_revenue"], group_by_names=["metric_time"], order_by_names=["metric_time"], - where_constraint=( - "{{ TimeDimension('metric_time', 'day') }} = '2020-03-15' or " - "{{ TimeDimension('metric_time', 'day') }} = '2020-04-30'" - ), + where_constraint=where_constraint, time_constraint_end=as_datetime("2020-12-31"), ) ) diff --git a/metricflow/test/integration/test_cases/itest_constraints.yaml b/metricflow/test/integration/test_cases/itest_constraints.yaml index 925c4e8db6..7022d736ab 100644 --- a/metricflow/test/integration/test_cases/itest_constraints.yaml +++ b/metricflow/test/integration/test_cases/itest_constraints.yaml @@ -56,7 +56,7 @@ integration_test: SELECT SUM(booking_value) AS booking_value , ds AS metric_time__day FROM {{ source_schema }}.fct_bookings b - WHERE ds = '2020-01-01' + WHERE {{ render_time_constraint("ds", "2020-01-01", "2020-01-01") }} GROUP BY ds --- @@ -73,7 +73,7 @@ integration_test: , ds AS metric_time__day FROM {{ source_schema }}.fct_bookings b WHERE is_instant - and ds = '2020-01-01' + and {{ render_time_constraint("ds", "2020-01-01", "2020-01-01") }} GROUP BY ds --- integration_test: @@ -142,11 +142,11 @@ integration_test: model: SIMPLE_MODEL metrics: ["bookings"] group_bys: ["metric_time"] - where_filter: "{{ render_time_dimension_template('metric_time') }} = '2020-01-01'" + where_filter: "{{ render_time_dimension_template('metric_time') }} = {{ cast_to_ts('2020-01-01') }}" check_query: | SELECT SUM(1) AS bookings , ds AS metric_time__day FROM {{ source_schema }}.fct_bookings - WHERE ds = '2020-01-01' + WHERE ds = {{ cast_to_ts('2020-01-01') }} GROUP BY ds diff --git a/metricflow/test/integration/test_cases/itest_cumulative_metric.yaml b/metricflow/test/integration/test_cases/itest_cumulative_metric.yaml index 67b4315b2b..a86a9ea838 100644 --- a/metricflow/test/integration/test_cases/itest_cumulative_metric.yaml +++ b/metricflow/test/integration/test_cases/itest_cumulative_metric.yaml @@ -325,8 +325,8 @@ integration_test: group_bys: ["metric_time__day"] order_bys: ["metric_time__day"] where_filter: | - {{ render_time_dimension_template('metric_time', 'day') }} = '2019-12-20' - or {{ render_time_dimension_template('metric_time', 'day') }} = '2020-01-04' + {{ render_time_dimension_template('metric_time', 'day') }} = {{ cast_to_ts('2019-12-20') }} + or {{ render_time_dimension_template('metric_time', 'day') }} = {{ cast_to_ts('2020-01-04') }} check_query: | SELECT COUNT (DISTINCT(b.guest_id)) as every_two_days_bookers diff --git a/metricflow/test/integration/test_cases/itest_granularity.yaml b/metricflow/test/integration/test_cases/itest_granularity.yaml index 7aee578af1..ea3f974516 100644 --- a/metricflow/test/integration/test_cases/itest_granularity.yaml +++ b/metricflow/test/integration/test_cases/itest_granularity.yaml @@ -25,7 +25,7 @@ integration_test: , {{ render_date_trunc("ds", TimeGranularity.WEEK) }} AS metric_time__week FROM {{ source_schema }}.fct_bookings_extended GROUP BY - metric_time__week + {{ render_date_trunc("ds", TimeGranularity.WEEK) }} --- integration_test: name: query_granularity_for_sum_month @@ -39,7 +39,7 @@ integration_test: , {{ render_date_trunc("ds", TimeGranularity.MONTH) }} AS metric_time__month FROM {{ source_schema }}.fct_bookings_extended GROUP BY - metric_time__month + {{ render_date_trunc("ds", TimeGranularity.MONTH) }} --- integration_test: name: query_granularity_for_sum_quarter @@ -53,7 +53,7 @@ integration_test: , {{ render_date_trunc("ds", TimeGranularity.QUARTER) }} AS metric_time__quarter FROM {{ source_schema }}.fct_bookings_extended GROUP BY - metric_time__quarter + {{ render_date_trunc("ds", TimeGranularity.QUARTER) }} --- integration_test: name: query_granularity_for_sum_year @@ -67,7 +67,7 @@ integration_test: , {{ render_date_trunc("ds", TimeGranularity.YEAR) }} AS metric_time__year FROM {{ source_schema }}.fct_bookings_extended GROUP BY - metric_time__year + {{ render_date_trunc("ds", TimeGranularity.YEAR) }} --- integration_test: name: query_granularity_for_count_distinct_day @@ -95,7 +95,7 @@ integration_test: , {{ render_date_trunc("ds", TimeGranularity.WEEK) }} AS metric_time__week FROM {{ source_schema }}.fct_bookings_extended GROUP BY - metric_time__week + {{ render_date_trunc("ds", TimeGranularity.WEEK) }} --- integration_test: name: query_granularity_for_count_distinct_month @@ -109,7 +109,7 @@ integration_test: , {{ render_date_trunc("ds", TimeGranularity.MONTH) }} AS metric_time__month FROM {{ source_schema }}.fct_bookings_extended GROUP BY - metric_time__month + {{ render_date_trunc("ds", TimeGranularity.MONTH) }} --- integration_test: name: query_granularity_for_count_distinct_quarter @@ -123,7 +123,7 @@ integration_test: , {{ render_date_trunc("ds", TimeGranularity.QUARTER) }} AS metric_time__quarter FROM {{ source_schema }}.fct_bookings_extended GROUP BY - metric_time__quarter + {{ render_date_trunc("ds", TimeGranularity.QUARTER) }} --- integration_test: name: query_granularity_for_count_distinct_year @@ -137,7 +137,7 @@ integration_test: , {{ render_date_trunc("ds", TimeGranularity.YEAR) }} AS metric_time__year FROM {{ source_schema }}.fct_bookings_extended GROUP BY - metric_time__year + {{ render_date_trunc("ds", TimeGranularity.YEAR) }} --- integration_test: name: query_granularity_for_joined_dundered_dimension_day @@ -185,7 +185,7 @@ integration_test: FROM {{ source_schema }}.fct_bookings_extended_monthly WHERE {{ render_time_constraint("ds", "2020-01-01", "2020-02-29") }} GROUP BY - metric_time__month + ds --- integration_test: name: metric_with_non_day_granularity_on_non_boundaries @@ -201,7 +201,7 @@ integration_test: FROM {{ source_schema }}.fct_bookings_extended_monthly WHERE {{ render_time_constraint("ds", "2020-01-01", "2020-02-29") }} GROUP BY - metric_time__month + ds --- integration_test: name: weekly_metric_on_non_boundaries @@ -217,7 +217,7 @@ integration_test: FROM {{ source_schema }}.fct_bookings_extended WHERE {{ render_time_constraint("ds", "2020-01-13", "2020-01-26") }} GROUP BY - metric_time__week + {{ render_date_trunc("ds", TimeGranularity.WEEK) }} --- integration_test: name: daily_metric_with_monthly_time_dimension @@ -233,7 +233,7 @@ integration_test: FROM {{ source_schema }}.fct_bookings_extended WHERE {{ render_time_constraint("ds", "2020-01-01", "2020-01-31") }} GROUP BY - metric_time__month + {{ render_date_trunc("ds", TimeGranularity.MONTH) }} --- integration_test: name: metrics_with_different_time_granularities @@ -273,7 +273,7 @@ integration_test: ON a.ds = b.ds ) c GROUP BY - metric_time__month + ds --- integration_test: name: metrics_with_different_time_granularities_and_no_metric_time diff --git a/metricflow/test/integration/test_cases/itest_metrics.yaml b/metricflow/test/integration/test_cases/itest_metrics.yaml index 2625e9b0c7..26ae81116f 100644 --- a/metricflow/test/integration/test_cases/itest_metrics.yaml +++ b/metricflow/test/integration/test_cases/itest_metrics.yaml @@ -489,7 +489,7 @@ integration_test: group_bys: ["metric_time"] check_query: | SELECT - (bookings - ref_bookings) / CAST(bookings AS {{ double_data_type_name }}) AS non_referred_bookings_pct + (bookings - ref_bookings) * 1.0 / bookings AS non_referred_bookings_pct , metric_time__day FROM ( SELECT @@ -688,7 +688,7 @@ integration_test: , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings GROUP BY - metric_time__day + ds ) a FULL OUTER JOIN ( SELECT @@ -701,7 +701,7 @@ integration_test: , SUM(1) AS bookings_2_weeks_ago FROM {{ source_schema }}.fct_bookings GROUP BY - metric_time__day + ds ) d ON {{ render_date_sub("C", "ds", 14, TimeGranularity.DAY) }} = d.metric_time__day ) b @@ -723,7 +723,7 @@ integration_test: , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings GROUP BY - metric_time__day + ds ) a FULL OUTER JOIN ( SELECT @@ -736,7 +736,7 @@ integration_test: , SUM(1) AS bookings_at_start_of_month FROM {{ source_schema }}.fct_bookings GROUP BY - metric_time__day + ds ) d ON {{ render_date_trunc("c.ds", TimeGranularity.MONTH) }} = d.metric_time__day ) b @@ -763,7 +763,7 @@ integration_test: , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings GROUP BY - metric_time__day + ds ) f ON {{ render_date_sub("g", "ds", 1, TimeGranularity.MONTH) }} = f.metric_time__day ) a @@ -778,7 +778,7 @@ integration_test: , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings GROUP BY - metric_time__day + ds ) d ON {{ render_date_trunc("c.ds", TimeGranularity.MONTH) }} = d.metric_time__day ) b @@ -801,7 +801,7 @@ integration_test: , SUM(1) AS bookings_5_day_lag FROM {{ source_schema }}.fct_bookings GROUP BY - metric_time__day + ds ) b ON {{ render_date_sub("a", "ds", 5, TimeGranularity.DAY) }} = b.metric_time__day --- @@ -889,7 +889,7 @@ integration_test: FROM {{ source_schema }}.fct_bookings ) b ON {{ render_date_sub("a", "ds", 5, TimeGranularity.DAY) }} = b.metric_time__day - GROUP BY metric_time__month + GROUP BY {{ render_date_trunc("a.ds", TimeGranularity.MONTH) }} --- integration_test: name: derived_metric_with_offset_to_grain_and_granularity @@ -906,7 +906,7 @@ integration_test: {{ render_date_trunc("ds", TimeGranularity.WEEK) }} AS metric_time__week , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings - GROUP BY metric_time__week + GROUP BY {{ render_date_trunc("ds", TimeGranularity.WEEK) }} ) a FULL OUTER JOIN ( SELECT @@ -921,7 +921,7 @@ integration_test: ) d ON {{ render_date_trunc("c.ds", TimeGranularity.MONTH) }} = d.metric_time__day WHERE {{ render_date_trunc("c.ds", TimeGranularity.WEEK) }} = c.ds - GROUP BY metric_time__week + GROUP BY {{ render_date_trunc("c.ds", TimeGranularity.WEEK) }} ) b ON a.metric_time__week = b.metric_time__week --- @@ -949,7 +949,7 @@ integration_test: FROM {{ source_schema }}.fct_bookings ) f ON {{ render_date_sub("g", "ds", 1, TimeGranularity.MONTH) }} = f.metric_time__day - GROUP BY metric_time__year + GROUP BY {{ render_date_trunc("g.ds", TimeGranularity.YEAR) }} ) a FULL OUTER JOIN ( SELECT @@ -964,7 +964,7 @@ integration_test: ) d ON {{ render_date_trunc("c.ds", TimeGranularity.MONTH) }} = d.metric_time__day WHERE {{ render_date_trunc("c.ds", TimeGranularity.YEAR) }} = c.ds - GROUP BY metric_time__year + GROUP BY {{ render_date_trunc("c.ds", TimeGranularity.YEAR) }} ) b ON a.metric_time__year = b.metric_time__year --- @@ -987,7 +987,7 @@ integration_test: FROM {{ mf_time_spine_source }} a INNER JOIN {{ source_schema }}.fct_bookings b ON (b.ds <= a.ds) AND (b.ds > {{ render_date_sub("a", "ds", 2, TimeGranularity.DAY) }}) - GROUP BY metric_time__day + GROUP BY a.ds ) c ON {{ render_date_sub("d", "ds", 2, TimeGranularity.DAY) }} = c.metric_time__day --- @@ -1010,7 +1010,7 @@ integration_test: FROM {{ source_schema }}.fct_bookings ) b ON {{ render_date_sub("a", "ds", 5, TimeGranularity.DAY) }} = b.metric_time__day - GROUP BY metric_time__month, metric_time__week + GROUP BY {{ render_date_trunc("a.ds", TimeGranularity.MONTH) }}, {{ render_date_trunc("a.ds", TimeGranularity.WEEK) }} --- integration_test: name: derived_metric_with_offset_to_grain_and_multiple_granularities @@ -1029,7 +1029,7 @@ integration_test: , {{ render_date_trunc("ds", TimeGranularity.MONTH) }} AS metric_time__month , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings - GROUP BY metric_time__week, metric_time__month + GROUP BY {{ render_date_trunc("ds", TimeGranularity.WEEK) }}, {{ render_date_trunc("ds", TimeGranularity.MONTH) }} ) a FULL OUTER JOIN ( SELECT @@ -1046,7 +1046,7 @@ integration_test: ON {{ render_date_trunc("c.ds", TimeGranularity.MONTH) }} = d.metric_time__day WHERE {{ render_date_trunc("c.ds", TimeGranularity.WEEK) }} = c.ds OR {{ render_date_trunc("c.ds", TimeGranularity.MONTH) }} = c.ds - GROUP BY metric_time__week, metric_time__month + GROUP BY {{ render_date_trunc("c.ds", TimeGranularity.WEEK) }}, {{ render_date_trunc("c.ds", TimeGranularity.MONTH) }} ) b ON a.metric_time__week = b.metric_time__week AND a.metric_time__month = b.metric_time__month @@ -1120,7 +1120,7 @@ integration_test: FROM {{ source_schema }}.fct_bookings ) b ON {{ render_date_sub("a", "ds", 5, TimeGranularity.DAY) }} = b.metric_time__day - GROUP BY metric_time__extract_month + GROUP BY {{ render_extract("a.ds", DatePart.MONTH) }} --- integration_test: name: simple_distinct_query_with_date_part @@ -1151,7 +1151,7 @@ integration_test: {{ render_date_trunc("ds", TimeGranularity.DAY) }} AS metric_time__day , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings bookings_source_src_1 - GROUP BY metric_time__day + GROUP BY 1 ) subq_3 ON subq_5.ds = subq_3.metric_time__day --- @@ -1169,14 +1169,14 @@ integration_test: SELECT {{ render_date_trunc("ds", TimeGranularity.MONTH) }} AS metric_time__month FROM {{ source_schema }}.mf_time_spine subq_5 - GROUP BY metric_time__month + GROUP BY 1 ) subq_4 LEFT OUTER JOIN ( SELECT {{ render_date_trunc("ds", TimeGranularity.MONTH) }} AS metric_time__month , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings bookings_source_src_1 - GROUP BY metric_time__month + GROUP BY 1 ) subq_3 ON subq_4.metric_time__month = subq_3.metric_time__month --- @@ -1192,7 +1192,7 @@ integration_test: , COALESCE(SUM(1), 0) AS bookings_fill_nulls_with_0 FROM {{ source_schema }}.fct_bookings bookings_source_src_1 GROUP BY - booking__paid_at__day + 1 --- integration_test: name: simple_fill_nulls_with_0_with_categorical_dimension @@ -1205,7 +1205,7 @@ integration_test: is_instant AS booking__is_instant , COALESCE(SUM(1), 0) AS bookings_fill_nulls_with_0 FROM {{ source_schema }}.fct_bookings bookings_source_src_1 - GROUP BY booking__is_instant + GROUP BY 1 --- integration_test: name: simple_join_to_time_spine @@ -1224,7 +1224,7 @@ integration_test: , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings bookings_source_src_1 GROUP BY - metric_time__day + 1 ) subq_3 ON subq_5.ds = subq_3.metric_time__day @@ -1240,7 +1240,7 @@ integration_test: {{ render_date_trunc("ds", TimeGranularity.DAY) }} AS metric_time__day , COALESCE(SUM(1), 0) AS bookings_fill_nulls_with_0_without_time_spine FROM {{ source_schema }}.fct_bookings bookings_source_src_1 - GROUP BY metric_time__day + GROUP BY 1 --- integration_test: name: cumulative_fill_nulls @@ -1293,7 +1293,7 @@ integration_test: , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings bookings_source_src_1 GROUP BY - metric_time__day + 1 ) subq_3 ON subq_5.ds = subq_3.metric_time__day ) subq_7 @@ -1336,7 +1336,7 @@ integration_test: {{ render_date_trunc("ds", TimeGranularity.DAY) }} AS metric_time__day , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings bookings_source_src_1 - GROUP BY metric_time__day + GROUP BY 1 ) subq_3 ON subq_5.ds = subq_3.metric_time__day ) subq_7 @@ -1345,7 +1345,7 @@ integration_test: {{ render_date_trunc("ds", TimeGranularity.DAY) }} AS metric_time__day , SUM(1) AS views FROM {{ source_schema }}.fct_views views_source_src_9 - GROUP BY metric_time__day + GROUP BY 1 ) subq_12 ON subq_7.metric_time__day = subq_12.metric_time__day GROUP BY COALESCE(subq_7.metric_time__day, subq_12.metric_time__day) @@ -1384,7 +1384,7 @@ integration_test: {{ render_date_trunc("ds", TimeGranularity.DAY) }} AS metric_time__day , SUM(1) AS bookings FROM {{ source_schema }}.fct_bookings bookings_source_src_1 - GROUP BY metric_time__day + GROUP BY 1 ) subq_3 ON subq_5.ds = subq_3.metric_time__day ) subq_6 @@ -1679,7 +1679,7 @@ integration_test: SELECT ds AS metric_time__day FROM {{ source_schema }}.mf_time_spine subq_6 - WHERE ds BETWEEN '2019-12-19' AND '2020-01-02' + WHERE {{ render_between_time_constraint("ds", "2019-12-19", "2020-01-02") }} ) subq_5 INNER JOIN ( SELECT diff --git a/metricflow/test/integration/test_cases/itest_order_limit.yaml b/metricflow/test/integration/test_cases/itest_order_limit.yaml index b8a1f6b44d..0cc563056a 100644 --- a/metricflow/test/integration/test_cases/itest_order_limit.yaml +++ b/metricflow/test/integration/test_cases/itest_order_limit.yaml @@ -69,6 +69,6 @@ integration_test: , SUM(booking_value) AS booking_value FROM {{ source_schema }}.fct_bookings GROUP BY - metric_time__month + 1 ORDER BY metric_time__month DESC, booking_value diff --git a/metricflow/test/integration/test_cases/itest_scd.yaml b/metricflow/test/integration/test_cases/itest_scd.yaml index 42e3d5a980..b44b444060 100644 --- a/metricflow/test/integration/test_cases/itest_scd.yaml +++ b/metricflow/test/integration/test_cases/itest_scd.yaml @@ -15,7 +15,7 @@ integration_test: ON a.listing_id = b.listing_id AND a.ds >= b.active_from AND (a.ds < b.active_to OR b.active_to is NULL) GROUP BY - listing__capacity, metric_time__day + capacity, ds --- integration_test: name: basic_scd_constrained_metric @@ -35,7 +35,7 @@ integration_test: WHERE b.capacity >= 3 GROUP BY is_instant - , metric_time__day + , ds --- integration_test: name: scd_constrained_metric_with_nulls @@ -61,8 +61,8 @@ integration_test: WHERE b.is_lux OR b.is_lux IS NULL GROUP BY is_instant - , metric_time__day - , listing__is_lux + , ds + , is_lux --- integration_test: name: scd_grouped_metric_with_second_dim @@ -87,9 +87,9 @@ integration_test: LEFT OUTER JOIN {{ source_schema }}.dim_users_latest c ON b.user_id = c.user_id GROUP BY - metric_time__day - , listing__is_lux - , listing__user__home_state_latest + a.ds + , b.is_lux + , c.home_state_latest --- integration_test: name: scd_multi_hop_groupby_through_scd @@ -112,8 +112,8 @@ integration_test: LEFT OUTER JOIN {{ source_schema }}.dim_users_latest c ON b.user_id = c.user_id GROUP BY - metric_time__day - , listing__user__home_state_latest + a.ds + , c.home_state_latest --- integration_test: name: scd_multi_hop_groupby_to_scd @@ -136,5 +136,5 @@ integration_test: ON b.lux_listing_id = c.lux_listing_id AND a.ds >= c.valid_from AND (a.ds < c.valid_to OR c.valid_to is NULL) GROUP BY - metric_time__day - , listing__lux_listing__is_confirmed_lux + a.ds + , c.is_confirmed_lux diff --git a/metricflow/test/integration/test_cases/itest_semi_additive_measure.yaml b/metricflow/test/integration/test_cases/itest_semi_additive_measure.yaml index 9043723f43..59cb7429f3 100644 --- a/metricflow/test/integration/test_cases/itest_semi_additive_measure.yaml +++ b/metricflow/test/integration/test_cases/itest_semi_additive_measure.yaml @@ -55,7 +55,7 @@ integration_test: , MAX(ds) AS ds FROM {{ source_schema }}.fct_accounts GROUP BY - metric_time__week + {{ render_date_trunc("ds", TimeGranularity.WEEK) }} , user_id ) b ON @@ -85,7 +85,7 @@ integration_test: , {{ render_date_trunc("ds", TimeGranularity.DAY) }} AS metric_time__day FROM {{ source_schema }}.fct_accounts GROUP BY - metric_time__day + {{ render_date_trunc("ds", TimeGranularity.DAY) }} ) b ON a.ds = b.ds @@ -167,7 +167,7 @@ integration_test: , {{ render_date_trunc("ds", TimeGranularity.WEEK) }} AS metric_time__week FROM {{ source_schema }}.fct_accounts GROUP BY - metric_time__week + {{ render_date_trunc("ds", TimeGranularity.WEEK) }} ) b ON a.ds = b.ds @@ -226,7 +226,7 @@ integration_test: model: SIMPLE_MODEL metrics: ["total_account_balance_first_day"] group_bys: ["account__account_type"] - where_filter: "{{ render_time_dimension_template('account__ds', 'day') }} >= '2020-01-03'" + where_filter: "{{ render_time_dimension_template('account__ds', 'day') }} >= {{ cast_to_ts('2020-01-03') }}" check_query: | SELECT b.account_type AS account__account_type @@ -243,7 +243,7 @@ integration_test: , account_balance AS total_account_balance_first_day FROM {{ source_schema }}.fct_accounts ) a - WHERE ds >= '2020-01-03' + WHERE ds >= {{ cast_to_ts('2020-01-03') }} ) b INNER JOIN ( SELECT @@ -253,7 +253,7 @@ integration_test: ds FROM {{ source_schema }}.fct_accounts ) c - WHERE ds >= '2020-01-03' + WHERE ds >= {{ cast_to_ts('2020-01-03') }} ) d ON b.ds = d.ds__complete diff --git a/metricflow/test/integration/test_cases/itest_simple.yaml b/metricflow/test/integration/test_cases/itest_simple.yaml index e4dc5cb5d6..96dd48a71b 100644 --- a/metricflow/test/integration/test_cases/itest_simple.yaml +++ b/metricflow/test/integration/test_cases/itest_simple.yaml @@ -42,7 +42,7 @@ integration_test: SUM(booking_value) AS booking_value , ds AS metric_time__day FROM {{ source_schema }}.fct_bookings - WHERE {{ render_time_constraint("ds", "2020-01-01", "2020-01-01") }} + WHERE {{ render_between_time_constraint("ds", "2020-01-01", "2020-01-01") }} GROUP BY ds --- diff --git a/metricflow/test/integration/test_cases/itest_simple_non_sm.yaml b/metricflow/test/integration/test_cases/itest_simple_non_sm.yaml index 8096844835..5f17dccd5e 100644 --- a/metricflow/test/integration/test_cases/itest_simple_non_sm.yaml +++ b/metricflow/test/integration/test_cases/itest_simple_non_sm.yaml @@ -15,7 +15,7 @@ integration_test: FROM {{ source_schema }}.fct_bookings_dt b LEFT OUTER JOIN {{ source_schema }}.dim_listings_latest l ON b.listing_id = l.listing_id - WHERE {{ render_time_constraint("dt", "2020-01-01", "2020-01-01") }} + WHERE {{ render_between_time_constraint("dt", "2020-01-01", "2020-01-01") }} GROUP BY b.is_instant , b.dt diff --git a/metricflow/test/integration/test_configured_cases.py b/metricflow/test/integration/test_configured_cases.py index b8a8420df2..dcf6722d8b 100644 --- a/metricflow/test/integration/test_configured_cases.py +++ b/metricflow/test/integration/test_configured_cases.py @@ -67,8 +67,25 @@ def render_time_constraint( stop_time_plus_one_day = ( datetime.datetime.strptime(stop_time, time_format) + datetime.timedelta(days=1) ).strftime(time_format) + stop_expr = self.cast_to_ts(f"{stop_time_plus_one_day}") - return f"{expr} >= {start_expr} AND {expr} < {stop_expr}" + return f"{self.cast_expr_to_ts(expr)} >= {start_expr} AND {self.cast_expr_to_ts(expr)} < {stop_expr}" + + def render_between_time_constraint( + self, + expr: str, + start_time: str, + stop_time: str, + ) -> str: + """Render an expression like "ds between timestamp '2020-01-01' AND timestamp '2020-01-02'". + + This will cast the literals as needed for each engine, and provide an alternative to incrementing + the date as we do in render_time_constraint. Using BETWEEN is more robust for cases involving potentially + mixed granularities. + """ + start_expr = self.cast_to_ts(f"{start_time}") + stop_expr = self.cast_to_ts(f"{stop_time}") + return f"{expr} BETWEEN {start_expr} AND {stop_expr}" def cast_expr_to_ts(self, expr: str) -> str: """Returns the expression as a new expression cast to the timestamp type, if applicable for the DB.""" @@ -290,6 +307,7 @@ def test_case( ).render( source_schema=mf_test_session_state.mf_source_schema, render_time_constraint=check_query_helpers.render_time_constraint, + render_between_time_constraint=check_query_helpers.render_between_time_constraint, TimeGranularity=TimeGranularity, DatePart=DatePart, render_date_sub=check_query_helpers.render_date_sub, @@ -302,6 +320,7 @@ def test_case( render_entity_template=check_query_helpers.render_entity_template, render_time_dimension_template=check_query_helpers.render_time_dimension_template, generate_random_uuid=check_query_helpers.generate_random_uuid, + cast_to_ts=check_query_helpers.cast_to_ts, ) if case.where_filter else None, @@ -318,6 +337,7 @@ def test_case( ).render( source_schema=mf_test_session_state.mf_source_schema, render_time_constraint=check_query_helpers.render_time_constraint, + render_between_time_constraint=check_query_helpers.render_between_time_constraint, TimeGranularity=TimeGranularity, DatePart=DatePart, render_date_sub=check_query_helpers.render_date_sub, @@ -327,6 +347,7 @@ def test_case( mf_time_spine_source=semantic_manifest_lookup.time_spine_source.spine_table.sql, double_data_type_name=check_query_helpers.double_data_type_name, generate_random_uuid=check_query_helpers.generate_random_uuid, + cast_to_ts=check_query_helpers.cast_to_ts, ) ) # If we sort, it's effectively not checking the order whatever order that the output was would be overwritten. diff --git a/metricflow/test/populate_persistent_source_schemas.py b/metricflow/test/populate_persistent_source_schemas.py index 0f0ff6f59c..a37412216b 100644 --- a/metricflow/test/populate_persistent_source_schemas.py +++ b/metricflow/test/populate_persistent_source_schemas.py @@ -29,6 +29,7 @@ def populate_schemas(test_configuration: MetricFlowTestConfiguration) -> None: or test_configuration.engine is SqlEngine.BIGQUERY or test_configuration.engine is SqlEngine.DATABRICKS or test_configuration.engine is SqlEngine.REDSHIFT + or test_configuration.engine is SqlEngine.TRINO ): engine_name = test_configuration.engine.value.lower() os.environ["MF_TEST_ADAPTER_TYPE"] = engine_name diff --git a/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query__cli_output.txt b/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query__cli_output.txt new file mode 100644 index 0000000000..138d8b140e --- /dev/null +++ b/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query__cli_output.txt @@ -0,0 +1,11 @@ +| metric_time__day | listing__capacity_latest | bookings | instant_bookings | +|:--------------------|---------------------------:|-----------:|-------------------:| +| 2019-12-01 00:00:00 | 5 | 1 | 0 | +| 2019-12-18 00:00:00 | 4 | 4 | 2 | +| 2019-12-19 00:00:00 | 4 | 6 | 6 | +| 2019-12-19 00:00:00 | 5 | 2 | 0 | +| 2019-12-20 00:00:00 | 5 | 2 | 0 | +| 2020-01-01 00:00:00 | 4 | 2 | 1 | +| 2020-01-02 00:00:00 | 4 | 3 | 3 | +| 2020-01-02 00:00:00 | 5 | 1 | 0 | +| 2020-01-03 00:00:00 | 5 | 1 | 0 | diff --git a/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query_with_cumulative_metric__cli_output.txt b/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query_with_cumulative_metric__cli_output.txt new file mode 100644 index 0000000000..7e7a1fea49 --- /dev/null +++ b/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query_with_cumulative_metric__cli_output.txt @@ -0,0 +1,3 @@ +| metric_time__day | trailing_2_months_revenue | +|:--------------------|----------------------------:| +| 2020-01-01 00:00:00 | 1000 | diff --git a/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query_with_limit__cli_output.txt b/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query_with_limit__cli_output.txt new file mode 100644 index 0000000000..313b03eda8 --- /dev/null +++ b/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query_with_limit__cli_output.txt @@ -0,0 +1,5 @@ +| metric_time__day | listing__capacity_latest | bookings | instant_bookings | +|:--------------------|---------------------------:|-----------:|-------------------:| +| 2019-12-01 00:00:00 | 5 | 1 | 0 | +| 2019-12-18 00:00:00 | 4 | 4 | 2 | +| 2019-12-19 00:00:00 | 4 | 6 | 6 | diff --git a/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query_with_where__cli_output.txt b/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query_with_where__cli_output.txt new file mode 100644 index 0000000000..fc66131bbc --- /dev/null +++ b/metricflow/test/snapshots/test_cli.py/str/Trino/test_saved_query_with_where__cli_output.txt @@ -0,0 +1,7 @@ +| metric_time__day | listing__capacity_latest | bookings | instant_bookings | +|:--------------------|---------------------------:|-----------:|-------------------:| +| 2019-12-01 00:00:00 | 5 | 1 | 0 | +| 2019-12-19 00:00:00 | 5 | 2 | 0 | +| 2019-12-20 00:00:00 | 5 | 2 | 0 | +| 2020-01-02 00:00:00 | 5 | 1 | 0 | +| 2020-01-03 00:00:00 | 5 | 1 | 0 | diff --git a/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_count_with_no_group_by__plan0.sql b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_count_with_no_group_by__plan0.sql new file mode 100644 index 0000000000..4c0412c4e4 --- /dev/null +++ b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_count_with_no_group_by__plan0.sql @@ -0,0 +1,346 @@ +-- Compute Metrics via Expressions +SELECT + subq_14.buys AS visit_buy_conversions +FROM ( + -- Combine Aggregated Outputs + SELECT + MAX(subq_3.visits) AS visits + , COALESCE(MAX(subq_13.buys), 0) AS buys + FROM ( + -- Aggregate Measures + SELECT + SUM(subq_2.visits) AS visits + FROM ( + -- Pass Only Elements: + -- ['visits'] + SELECT + subq_1.visits + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.visit__ds__day + , subq_0.visit__ds__week + , subq_0.visit__ds__month + , subq_0.visit__ds__quarter + , subq_0.visit__ds__year + , subq_0.visit__ds__extract_year + , subq_0.visit__ds__extract_quarter + , subq_0.visit__ds__extract_month + , subq_0.visit__ds__extract_day + , subq_0.visit__ds__extract_dow + , subq_0.visit__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.session + , subq_0.visit__user + , subq_0.visit__session + , subq_0.referrer_id + , subq_0.visit__referrer_id + , subq_0.visits + , subq_0.visitors + FROM ( + -- Read Elements From Semantic Model 'visits_source' + SELECT + 1 AS visits + , visits_source_src_10011.user_id AS visitors + , DATE_TRUNC('day', visits_source_src_10011.ds) AS ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS ds__extract_doy + , visits_source_src_10011.referrer_id + , DATE_TRUNC('day', visits_source_src_10011.ds) AS visit__ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS visit__ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS visit__ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS visit__ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS visit__ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS visit__ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS visit__ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS visit__ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS visit__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS visit__ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS visit__ds__extract_doy + , visits_source_src_10011.referrer_id AS visit__referrer_id + , visits_source_src_10011.user_id AS user + , visits_source_src_10011.session_id AS session + , visits_source_src_10011.user_id AS visit__user + , visits_source_src_10011.session_id AS visit__session + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_0 + ) subq_1 + ) subq_2 + ) subq_3 + CROSS JOIN ( + -- Aggregate Measures + SELECT + SUM(subq_12.buys) AS buys + FROM ( + -- Pass Only Elements: + -- ['buys'] + SELECT + subq_11.buys + FROM ( + -- Find conversions for user within the range of 7 day + SELECT + subq_10.ds__day + , subq_10.user + , subq_10.buys + , subq_10.visits + FROM ( + -- Dedupe the fanout with mf_internal_uuid in the conversion data set + SELECT DISTINCT + first_value(subq_6.visits) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visits + , first_value(subq_6.ds__day) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS ds__day + , first_value(subq_6.user) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS user + , subq_9.mf_internal_uuid AS mf_internal_uuid + , subq_9.buys AS buys + FROM ( + -- Pass Only Elements: + -- ['visits', 'ds__day', 'user'] + SELECT + subq_5.ds__day + , subq_5.user + , subq_5.visits + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.visit__ds__day + , subq_4.visit__ds__week + , subq_4.visit__ds__month + , subq_4.visit__ds__quarter + , subq_4.visit__ds__year + , subq_4.visit__ds__extract_year + , subq_4.visit__ds__extract_quarter + , subq_4.visit__ds__extract_month + , subq_4.visit__ds__extract_day + , subq_4.visit__ds__extract_dow + , subq_4.visit__ds__extract_doy + , subq_4.ds__day AS metric_time__day + , subq_4.ds__week AS metric_time__week + , subq_4.ds__month AS metric_time__month + , subq_4.ds__quarter AS metric_time__quarter + , subq_4.ds__year AS metric_time__year + , subq_4.ds__extract_year AS metric_time__extract_year + , subq_4.ds__extract_quarter AS metric_time__extract_quarter + , subq_4.ds__extract_month AS metric_time__extract_month + , subq_4.ds__extract_day AS metric_time__extract_day + , subq_4.ds__extract_dow AS metric_time__extract_dow + , subq_4.ds__extract_doy AS metric_time__extract_doy + , subq_4.user + , subq_4.session + , subq_4.visit__user + , subq_4.visit__session + , subq_4.referrer_id + , subq_4.visit__referrer_id + , subq_4.visits + , subq_4.visitors + FROM ( + -- Read Elements From Semantic Model 'visits_source' + SELECT + 1 AS visits + , visits_source_src_10011.user_id AS visitors + , DATE_TRUNC('day', visits_source_src_10011.ds) AS ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS ds__extract_doy + , visits_source_src_10011.referrer_id + , DATE_TRUNC('day', visits_source_src_10011.ds) AS visit__ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS visit__ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS visit__ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS visit__ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS visit__ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS visit__ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS visit__ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS visit__ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS visit__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS visit__ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS visit__ds__extract_doy + , visits_source_src_10011.referrer_id AS visit__referrer_id + , visits_source_src_10011.user_id AS user + , visits_source_src_10011.session_id AS session + , visits_source_src_10011.user_id AS visit__user + , visits_source_src_10011.session_id AS visit__session + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_4 + ) subq_5 + ) subq_6 + INNER JOIN ( + -- Add column with generated UUID + SELECT + subq_8.ds__day + , subq_8.ds__week + , subq_8.ds__month + , subq_8.ds__quarter + , subq_8.ds__year + , subq_8.ds__extract_year + , subq_8.ds__extract_quarter + , subq_8.ds__extract_month + , subq_8.ds__extract_day + , subq_8.ds__extract_dow + , subq_8.ds__extract_doy + , subq_8.buy__ds__day + , subq_8.buy__ds__week + , subq_8.buy__ds__month + , subq_8.buy__ds__quarter + , subq_8.buy__ds__year + , subq_8.buy__ds__extract_year + , subq_8.buy__ds__extract_quarter + , subq_8.buy__ds__extract_month + , subq_8.buy__ds__extract_day + , subq_8.buy__ds__extract_dow + , subq_8.buy__ds__extract_doy + , subq_8.metric_time__day + , subq_8.metric_time__week + , subq_8.metric_time__month + , subq_8.metric_time__quarter + , subq_8.metric_time__year + , subq_8.metric_time__extract_year + , subq_8.metric_time__extract_quarter + , subq_8.metric_time__extract_month + , subq_8.metric_time__extract_day + , subq_8.metric_time__extract_dow + , subq_8.metric_time__extract_doy + , subq_8.user + , subq_8.session_id + , subq_8.buy__user + , subq_8.buy__session_id + , subq_8.buys + , subq_8.buyers + , uuid() AS mf_internal_uuid + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_7.ds__day + , subq_7.ds__week + , subq_7.ds__month + , subq_7.ds__quarter + , subq_7.ds__year + , subq_7.ds__extract_year + , subq_7.ds__extract_quarter + , subq_7.ds__extract_month + , subq_7.ds__extract_day + , subq_7.ds__extract_dow + , subq_7.ds__extract_doy + , subq_7.buy__ds__day + , subq_7.buy__ds__week + , subq_7.buy__ds__month + , subq_7.buy__ds__quarter + , subq_7.buy__ds__year + , subq_7.buy__ds__extract_year + , subq_7.buy__ds__extract_quarter + , subq_7.buy__ds__extract_month + , subq_7.buy__ds__extract_day + , subq_7.buy__ds__extract_dow + , subq_7.buy__ds__extract_doy + , subq_7.ds__day AS metric_time__day + , subq_7.ds__week AS metric_time__week + , subq_7.ds__month AS metric_time__month + , subq_7.ds__quarter AS metric_time__quarter + , subq_7.ds__year AS metric_time__year + , subq_7.ds__extract_year AS metric_time__extract_year + , subq_7.ds__extract_quarter AS metric_time__extract_quarter + , subq_7.ds__extract_month AS metric_time__extract_month + , subq_7.ds__extract_day AS metric_time__extract_day + , subq_7.ds__extract_dow AS metric_time__extract_dow + , subq_7.ds__extract_doy AS metric_time__extract_doy + , subq_7.user + , subq_7.session_id + , subq_7.buy__user + , subq_7.buy__session_id + , subq_7.buys + , subq_7.buyers + FROM ( + -- Read Elements From Semantic Model 'buys_source' + SELECT + 1 AS buys + , buys_source_src_10002.user_id AS buyers + , DATE_TRUNC('day', buys_source_src_10002.ds) AS ds__day + , DATE_TRUNC('week', buys_source_src_10002.ds) AS ds__week + , DATE_TRUNC('month', buys_source_src_10002.ds) AS ds__month + , DATE_TRUNC('quarter', buys_source_src_10002.ds) AS ds__quarter + , DATE_TRUNC('year', buys_source_src_10002.ds) AS ds__year + , EXTRACT(year FROM buys_source_src_10002.ds) AS ds__extract_year + , EXTRACT(quarter FROM buys_source_src_10002.ds) AS ds__extract_quarter + , EXTRACT(month FROM buys_source_src_10002.ds) AS ds__extract_month + , EXTRACT(day FROM buys_source_src_10002.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM buys_source_src_10002.ds) AS ds__extract_dow + , EXTRACT(doy FROM buys_source_src_10002.ds) AS ds__extract_doy + , DATE_TRUNC('day', buys_source_src_10002.ds) AS buy__ds__day + , DATE_TRUNC('week', buys_source_src_10002.ds) AS buy__ds__week + , DATE_TRUNC('month', buys_source_src_10002.ds) AS buy__ds__month + , DATE_TRUNC('quarter', buys_source_src_10002.ds) AS buy__ds__quarter + , DATE_TRUNC('year', buys_source_src_10002.ds) AS buy__ds__year + , EXTRACT(year FROM buys_source_src_10002.ds) AS buy__ds__extract_year + , EXTRACT(quarter FROM buys_source_src_10002.ds) AS buy__ds__extract_quarter + , EXTRACT(month FROM buys_source_src_10002.ds) AS buy__ds__extract_month + , EXTRACT(day FROM buys_source_src_10002.ds) AS buy__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM buys_source_src_10002.ds) AS buy__ds__extract_dow + , EXTRACT(doy FROM buys_source_src_10002.ds) AS buy__ds__extract_doy + , buys_source_src_10002.user_id AS user + , buys_source_src_10002.session_id + , buys_source_src_10002.user_id AS buy__user + , buys_source_src_10002.session_id AS buy__session_id + FROM ***************************.fct_buys buys_source_src_10002 + ) subq_7 + ) subq_8 + ) subq_9 + ON + ( + subq_6.user = subq_9.user + ) AND ( + ( + subq_6.ds__day <= subq_9.ds__day + ) AND ( + subq_6.ds__day > DATE_ADD('day', -7, subq_9.ds__day) + ) + ) + ) subq_10 + ) subq_11 + ) subq_12 + ) subq_13 +) subq_14 diff --git a/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_count_with_no_group_by__plan0_optimized.sql b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_count_with_no_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..0f90cf24a3 --- /dev/null +++ b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_count_with_no_group_by__plan0_optimized.sql @@ -0,0 +1,63 @@ +-- Combine Aggregated Outputs +-- Compute Metrics via Expressions +SELECT + COALESCE(MAX(subq_28.buys), 0) AS visit_buy_conversions +FROM ( + -- Read Elements From Semantic Model 'visits_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['visits'] + -- Aggregate Measures + SELECT + SUM(1) AS visits + FROM ***************************.fct_visits visits_source_src_10011 +) subq_18 +CROSS JOIN ( + -- Find conversions for user within the range of 7 day + -- Pass Only Elements: + -- ['buys'] + -- Aggregate Measures + SELECT + SUM(buys) AS buys + FROM ( + -- Dedupe the fanout with mf_internal_uuid in the conversion data set + SELECT DISTINCT + first_value(subq_21.visits) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visits + , first_value(subq_21.ds__day) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS ds__day + , first_value(subq_21.user) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS user + , subq_24.mf_internal_uuid AS mf_internal_uuid + , subq_24.buys AS buys + FROM ( + -- Read Elements From Semantic Model 'visits_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['visits', 'ds__day', 'user'] + SELECT + DATE_TRUNC('day', ds) AS ds__day + , user_id AS user + , 1 AS visits + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_21 + INNER JOIN ( + -- Read Elements From Semantic Model 'buys_source' + -- Metric Time Dimension 'ds' + -- Add column with generated UUID + SELECT + DATE_TRUNC('day', ds) AS ds__day + , user_id AS user + , 1 AS buys + , uuid() AS mf_internal_uuid + FROM ***************************.fct_buys buys_source_src_10002 + ) subq_24 + ON + ( + subq_21.user = subq_24.user + ) AND ( + ( + subq_21.ds__day <= subq_24.ds__day + ) AND ( + subq_21.ds__day > DATE_ADD('day', -7, subq_24.ds__day) + ) + ) + ) subq_25 +) subq_28 diff --git a/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate__plan0.sql b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate__plan0.sql new file mode 100644 index 0000000000..b4aba824fb --- /dev/null +++ b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate__plan0.sql @@ -0,0 +1,355 @@ +-- Compute Metrics via Expressions +SELECT + subq_14.visit__referrer_id + , CAST(subq_14.buys AS DOUBLE) / CAST(NULLIF(subq_14.visits, 0) AS DOUBLE) AS visit_buy_conversion_rate +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_3.visit__referrer_id, subq_13.visit__referrer_id) AS visit__referrer_id + , MAX(subq_3.visits) AS visits + , MAX(subq_13.buys) AS buys + FROM ( + -- Aggregate Measures + SELECT + subq_2.visit__referrer_id + , SUM(subq_2.visits) AS visits + FROM ( + -- Pass Only Elements: + -- ['visits', 'visit__referrer_id'] + SELECT + subq_1.visit__referrer_id + , subq_1.visits + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.visit__ds__day + , subq_0.visit__ds__week + , subq_0.visit__ds__month + , subq_0.visit__ds__quarter + , subq_0.visit__ds__year + , subq_0.visit__ds__extract_year + , subq_0.visit__ds__extract_quarter + , subq_0.visit__ds__extract_month + , subq_0.visit__ds__extract_day + , subq_0.visit__ds__extract_dow + , subq_0.visit__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.session + , subq_0.visit__user + , subq_0.visit__session + , subq_0.referrer_id + , subq_0.visit__referrer_id + , subq_0.visits + , subq_0.visitors + FROM ( + -- Read Elements From Semantic Model 'visits_source' + SELECT + 1 AS visits + , visits_source_src_10011.user_id AS visitors + , DATE_TRUNC('day', visits_source_src_10011.ds) AS ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS ds__extract_doy + , visits_source_src_10011.referrer_id + , DATE_TRUNC('day', visits_source_src_10011.ds) AS visit__ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS visit__ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS visit__ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS visit__ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS visit__ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS visit__ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS visit__ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS visit__ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS visit__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS visit__ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS visit__ds__extract_doy + , visits_source_src_10011.referrer_id AS visit__referrer_id + , visits_source_src_10011.user_id AS user + , visits_source_src_10011.session_id AS session + , visits_source_src_10011.user_id AS visit__user + , visits_source_src_10011.session_id AS visit__session + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.visit__referrer_id + ) subq_3 + FULL OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_12.visit__referrer_id + , SUM(subq_12.buys) AS buys + FROM ( + -- Pass Only Elements: + -- ['buys', 'visit__referrer_id'] + SELECT + subq_11.visit__referrer_id + , subq_11.buys + FROM ( + -- Find conversions for user within the range of INF + SELECT + subq_10.ds__day + , subq_10.user + , subq_10.visit__referrer_id + , subq_10.buys + , subq_10.visits + FROM ( + -- Dedupe the fanout with mf_internal_uuid in the conversion data set + SELECT DISTINCT + first_value(subq_6.visits) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visits + , first_value(subq_6.visit__referrer_id) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visit__referrer_id + , first_value(subq_6.ds__day) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS ds__day + , first_value(subq_6.user) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS user + , subq_9.mf_internal_uuid AS mf_internal_uuid + , subq_9.buys AS buys + FROM ( + -- Pass Only Elements: + -- ['visits', 'visit__referrer_id', 'ds__day', 'user'] + SELECT + subq_5.ds__day + , subq_5.user + , subq_5.visit__referrer_id + , subq_5.visits + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.visit__ds__day + , subq_4.visit__ds__week + , subq_4.visit__ds__month + , subq_4.visit__ds__quarter + , subq_4.visit__ds__year + , subq_4.visit__ds__extract_year + , subq_4.visit__ds__extract_quarter + , subq_4.visit__ds__extract_month + , subq_4.visit__ds__extract_day + , subq_4.visit__ds__extract_dow + , subq_4.visit__ds__extract_doy + , subq_4.ds__day AS metric_time__day + , subq_4.ds__week AS metric_time__week + , subq_4.ds__month AS metric_time__month + , subq_4.ds__quarter AS metric_time__quarter + , subq_4.ds__year AS metric_time__year + , subq_4.ds__extract_year AS metric_time__extract_year + , subq_4.ds__extract_quarter AS metric_time__extract_quarter + , subq_4.ds__extract_month AS metric_time__extract_month + , subq_4.ds__extract_day AS metric_time__extract_day + , subq_4.ds__extract_dow AS metric_time__extract_dow + , subq_4.ds__extract_doy AS metric_time__extract_doy + , subq_4.user + , subq_4.session + , subq_4.visit__user + , subq_4.visit__session + , subq_4.referrer_id + , subq_4.visit__referrer_id + , subq_4.visits + , subq_4.visitors + FROM ( + -- Read Elements From Semantic Model 'visits_source' + SELECT + 1 AS visits + , visits_source_src_10011.user_id AS visitors + , DATE_TRUNC('day', visits_source_src_10011.ds) AS ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS ds__extract_doy + , visits_source_src_10011.referrer_id + , DATE_TRUNC('day', visits_source_src_10011.ds) AS visit__ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS visit__ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS visit__ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS visit__ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS visit__ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS visit__ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS visit__ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS visit__ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS visit__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS visit__ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS visit__ds__extract_doy + , visits_source_src_10011.referrer_id AS visit__referrer_id + , visits_source_src_10011.user_id AS user + , visits_source_src_10011.session_id AS session + , visits_source_src_10011.user_id AS visit__user + , visits_source_src_10011.session_id AS visit__session + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_4 + ) subq_5 + ) subq_6 + INNER JOIN ( + -- Add column with generated UUID + SELECT + subq_8.ds__day + , subq_8.ds__week + , subq_8.ds__month + , subq_8.ds__quarter + , subq_8.ds__year + , subq_8.ds__extract_year + , subq_8.ds__extract_quarter + , subq_8.ds__extract_month + , subq_8.ds__extract_day + , subq_8.ds__extract_dow + , subq_8.ds__extract_doy + , subq_8.buy__ds__day + , subq_8.buy__ds__week + , subq_8.buy__ds__month + , subq_8.buy__ds__quarter + , subq_8.buy__ds__year + , subq_8.buy__ds__extract_year + , subq_8.buy__ds__extract_quarter + , subq_8.buy__ds__extract_month + , subq_8.buy__ds__extract_day + , subq_8.buy__ds__extract_dow + , subq_8.buy__ds__extract_doy + , subq_8.metric_time__day + , subq_8.metric_time__week + , subq_8.metric_time__month + , subq_8.metric_time__quarter + , subq_8.metric_time__year + , subq_8.metric_time__extract_year + , subq_8.metric_time__extract_quarter + , subq_8.metric_time__extract_month + , subq_8.metric_time__extract_day + , subq_8.metric_time__extract_dow + , subq_8.metric_time__extract_doy + , subq_8.user + , subq_8.session_id + , subq_8.buy__user + , subq_8.buy__session_id + , subq_8.buys + , subq_8.buyers + , uuid() AS mf_internal_uuid + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_7.ds__day + , subq_7.ds__week + , subq_7.ds__month + , subq_7.ds__quarter + , subq_7.ds__year + , subq_7.ds__extract_year + , subq_7.ds__extract_quarter + , subq_7.ds__extract_month + , subq_7.ds__extract_day + , subq_7.ds__extract_dow + , subq_7.ds__extract_doy + , subq_7.buy__ds__day + , subq_7.buy__ds__week + , subq_7.buy__ds__month + , subq_7.buy__ds__quarter + , subq_7.buy__ds__year + , subq_7.buy__ds__extract_year + , subq_7.buy__ds__extract_quarter + , subq_7.buy__ds__extract_month + , subq_7.buy__ds__extract_day + , subq_7.buy__ds__extract_dow + , subq_7.buy__ds__extract_doy + , subq_7.ds__day AS metric_time__day + , subq_7.ds__week AS metric_time__week + , subq_7.ds__month AS metric_time__month + , subq_7.ds__quarter AS metric_time__quarter + , subq_7.ds__year AS metric_time__year + , subq_7.ds__extract_year AS metric_time__extract_year + , subq_7.ds__extract_quarter AS metric_time__extract_quarter + , subq_7.ds__extract_month AS metric_time__extract_month + , subq_7.ds__extract_day AS metric_time__extract_day + , subq_7.ds__extract_dow AS metric_time__extract_dow + , subq_7.ds__extract_doy AS metric_time__extract_doy + , subq_7.user + , subq_7.session_id + , subq_7.buy__user + , subq_7.buy__session_id + , subq_7.buys + , subq_7.buyers + FROM ( + -- Read Elements From Semantic Model 'buys_source' + SELECT + 1 AS buys + , buys_source_src_10002.user_id AS buyers + , DATE_TRUNC('day', buys_source_src_10002.ds) AS ds__day + , DATE_TRUNC('week', buys_source_src_10002.ds) AS ds__week + , DATE_TRUNC('month', buys_source_src_10002.ds) AS ds__month + , DATE_TRUNC('quarter', buys_source_src_10002.ds) AS ds__quarter + , DATE_TRUNC('year', buys_source_src_10002.ds) AS ds__year + , EXTRACT(year FROM buys_source_src_10002.ds) AS ds__extract_year + , EXTRACT(quarter FROM buys_source_src_10002.ds) AS ds__extract_quarter + , EXTRACT(month FROM buys_source_src_10002.ds) AS ds__extract_month + , EXTRACT(day FROM buys_source_src_10002.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM buys_source_src_10002.ds) AS ds__extract_dow + , EXTRACT(doy FROM buys_source_src_10002.ds) AS ds__extract_doy + , DATE_TRUNC('day', buys_source_src_10002.ds) AS buy__ds__day + , DATE_TRUNC('week', buys_source_src_10002.ds) AS buy__ds__week + , DATE_TRUNC('month', buys_source_src_10002.ds) AS buy__ds__month + , DATE_TRUNC('quarter', buys_source_src_10002.ds) AS buy__ds__quarter + , DATE_TRUNC('year', buys_source_src_10002.ds) AS buy__ds__year + , EXTRACT(year FROM buys_source_src_10002.ds) AS buy__ds__extract_year + , EXTRACT(quarter FROM buys_source_src_10002.ds) AS buy__ds__extract_quarter + , EXTRACT(month FROM buys_source_src_10002.ds) AS buy__ds__extract_month + , EXTRACT(day FROM buys_source_src_10002.ds) AS buy__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM buys_source_src_10002.ds) AS buy__ds__extract_dow + , EXTRACT(doy FROM buys_source_src_10002.ds) AS buy__ds__extract_doy + , buys_source_src_10002.user_id AS user + , buys_source_src_10002.session_id + , buys_source_src_10002.user_id AS buy__user + , buys_source_src_10002.session_id AS buy__session_id + FROM ***************************.fct_buys buys_source_src_10002 + ) subq_7 + ) subq_8 + ) subq_9 + ON + (subq_6.user = subq_9.user) AND ((subq_6.ds__day <= subq_9.ds__day)) + ) subq_10 + ) subq_11 + ) subq_12 + GROUP BY + subq_12.visit__referrer_id + ) subq_13 + ON + subq_3.visit__referrer_id = subq_13.visit__referrer_id + GROUP BY + COALESCE(subq_3.visit__referrer_id, subq_13.visit__referrer_id) +) subq_14 diff --git a/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate__plan0_optimized.sql b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate__plan0_optimized.sql new file mode 100644 index 0000000000..9f0493d406 --- /dev/null +++ b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate__plan0_optimized.sql @@ -0,0 +1,83 @@ +-- Compute Metrics via Expressions +SELECT + visit__referrer_id + , CAST(buys AS DOUBLE) / CAST(NULLIF(visits, 0) AS DOUBLE) AS visit_buy_conversion_rate +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_18.visit__referrer_id, subq_28.visit__referrer_id) AS visit__referrer_id + , MAX(subq_18.visits) AS visits + , MAX(subq_28.buys) AS buys + FROM ( + -- Aggregate Measures + SELECT + visit__referrer_id + , SUM(visits) AS visits + FROM ( + -- Read Elements From Semantic Model 'visits_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['visits', 'visit__referrer_id'] + SELECT + referrer_id AS visit__referrer_id + , 1 AS visits + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_17 + GROUP BY + visit__referrer_id + ) subq_18 + FULL OUTER JOIN ( + -- Find conversions for user within the range of INF + -- Pass Only Elements: + -- ['buys', 'visit__referrer_id'] + -- Aggregate Measures + SELECT + visit__referrer_id + , SUM(buys) AS buys + FROM ( + -- Dedupe the fanout with mf_internal_uuid in the conversion data set + SELECT DISTINCT + first_value(subq_21.visits) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visits + , first_value(subq_21.visit__referrer_id) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visit__referrer_id + , first_value(subq_21.ds__day) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS ds__day + , first_value(subq_21.user) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS user + , subq_24.mf_internal_uuid AS mf_internal_uuid + , subq_24.buys AS buys + FROM ( + -- Read Elements From Semantic Model 'visits_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['visits', 'visit__referrer_id', 'ds__day', 'user'] + SELECT + DATE_TRUNC('day', ds) AS ds__day + , user_id AS user + , referrer_id AS visit__referrer_id + , 1 AS visits + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_21 + INNER JOIN ( + -- Read Elements From Semantic Model 'buys_source' + -- Metric Time Dimension 'ds' + -- Add column with generated UUID + SELECT + DATE_TRUNC('day', ds) AS ds__day + , user_id AS user + , 1 AS buys + , uuid() AS mf_internal_uuid + FROM ***************************.fct_buys buys_source_src_10002 + ) subq_24 + ON + ( + subq_21.user = subq_24.user + ) AND ( + (subq_21.ds__day <= subq_24.ds__day) + ) + ) subq_25 + GROUP BY + visit__referrer_id + ) subq_28 + ON + subq_18.visit__referrer_id = subq_28.visit__referrer_id + GROUP BY + COALESCE(subq_18.visit__referrer_id, subq_28.visit__referrer_id) +) subq_29 diff --git a/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_constant_properties__plan0.sql b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_constant_properties__plan0.sql new file mode 100644 index 0000000000..60b4af433e --- /dev/null +++ b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_constant_properties__plan0.sql @@ -0,0 +1,389 @@ +-- Compute Metrics via Expressions +SELECT + subq_14.metric_time__day + , subq_14.visit__referrer_id + , CAST(subq_14.buys AS DOUBLE) / CAST(NULLIF(subq_14.visits, 0) AS DOUBLE) AS visit_buy_conversion_rate_by_session +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_3.metric_time__day, subq_13.metric_time__day) AS metric_time__day + , COALESCE(subq_3.visit__referrer_id, subq_13.visit__referrer_id) AS visit__referrer_id + , MAX(subq_3.visits) AS visits + , MAX(subq_13.buys) AS buys + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , subq_2.visit__referrer_id + , SUM(subq_2.visits) AS visits + FROM ( + -- Pass Only Elements: + -- ['visits', 'visit__referrer_id', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.visit__referrer_id + , subq_1.visits + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.visit__ds__day + , subq_0.visit__ds__week + , subq_0.visit__ds__month + , subq_0.visit__ds__quarter + , subq_0.visit__ds__year + , subq_0.visit__ds__extract_year + , subq_0.visit__ds__extract_quarter + , subq_0.visit__ds__extract_month + , subq_0.visit__ds__extract_day + , subq_0.visit__ds__extract_dow + , subq_0.visit__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.session + , subq_0.visit__user + , subq_0.visit__session + , subq_0.referrer_id + , subq_0.visit__referrer_id + , subq_0.visits + , subq_0.visitors + FROM ( + -- Read Elements From Semantic Model 'visits_source' + SELECT + 1 AS visits + , visits_source_src_10011.user_id AS visitors + , DATE_TRUNC('day', visits_source_src_10011.ds) AS ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS ds__extract_doy + , visits_source_src_10011.referrer_id + , DATE_TRUNC('day', visits_source_src_10011.ds) AS visit__ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS visit__ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS visit__ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS visit__ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS visit__ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS visit__ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS visit__ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS visit__ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS visit__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS visit__ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS visit__ds__extract_doy + , visits_source_src_10011.referrer_id AS visit__referrer_id + , visits_source_src_10011.user_id AS user + , visits_source_src_10011.session_id AS session + , visits_source_src_10011.user_id AS visit__user + , visits_source_src_10011.session_id AS visit__session + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + , subq_2.visit__referrer_id + ) subq_3 + FULL OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_12.metric_time__day + , subq_12.visit__referrer_id + , SUM(subq_12.buys) AS buys + FROM ( + -- Pass Only Elements: + -- ['buys', 'visit__referrer_id', 'metric_time__day'] + SELECT + subq_11.metric_time__day + , subq_11.visit__referrer_id + , subq_11.buys + FROM ( + -- Find conversions for user within the range of 7 day + SELECT + subq_10.ds__day + , subq_10.metric_time__day + , subq_10.user + , subq_10.session + , subq_10.visit__referrer_id + , subq_10.buys + , subq_10.visits + FROM ( + -- Dedupe the fanout with mf_internal_uuid in the conversion data set + SELECT DISTINCT + first_value(subq_6.visits) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid, subq_9.session_id ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visits + , first_value(subq_6.visit__referrer_id) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid, subq_9.session_id ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visit__referrer_id + , first_value(subq_6.ds__day) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid, subq_9.session_id ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS ds__day + , first_value(subq_6.metric_time__day) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid, subq_9.session_id ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS metric_time__day + , first_value(subq_6.user) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid, subq_9.session_id ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS user + , first_value(subq_6.session) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid, subq_9.session_id ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS session + , subq_9.mf_internal_uuid AS mf_internal_uuid + , subq_9.buys AS buys + FROM ( + -- Pass Only Elements: + -- ['visits', + -- 'visit__referrer_id', + -- 'ds__day', + -- 'metric_time__day', + -- 'user', + -- 'session'] + SELECT + subq_5.ds__day + , subq_5.metric_time__day + , subq_5.user + , subq_5.session + , subq_5.visit__referrer_id + , subq_5.visits + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.visit__ds__day + , subq_4.visit__ds__week + , subq_4.visit__ds__month + , subq_4.visit__ds__quarter + , subq_4.visit__ds__year + , subq_4.visit__ds__extract_year + , subq_4.visit__ds__extract_quarter + , subq_4.visit__ds__extract_month + , subq_4.visit__ds__extract_day + , subq_4.visit__ds__extract_dow + , subq_4.visit__ds__extract_doy + , subq_4.ds__day AS metric_time__day + , subq_4.ds__week AS metric_time__week + , subq_4.ds__month AS metric_time__month + , subq_4.ds__quarter AS metric_time__quarter + , subq_4.ds__year AS metric_time__year + , subq_4.ds__extract_year AS metric_time__extract_year + , subq_4.ds__extract_quarter AS metric_time__extract_quarter + , subq_4.ds__extract_month AS metric_time__extract_month + , subq_4.ds__extract_day AS metric_time__extract_day + , subq_4.ds__extract_dow AS metric_time__extract_dow + , subq_4.ds__extract_doy AS metric_time__extract_doy + , subq_4.user + , subq_4.session + , subq_4.visit__user + , subq_4.visit__session + , subq_4.referrer_id + , subq_4.visit__referrer_id + , subq_4.visits + , subq_4.visitors + FROM ( + -- Read Elements From Semantic Model 'visits_source' + SELECT + 1 AS visits + , visits_source_src_10011.user_id AS visitors + , DATE_TRUNC('day', visits_source_src_10011.ds) AS ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS ds__extract_doy + , visits_source_src_10011.referrer_id + , DATE_TRUNC('day', visits_source_src_10011.ds) AS visit__ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS visit__ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS visit__ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS visit__ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS visit__ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS visit__ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS visit__ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS visit__ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS visit__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS visit__ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS visit__ds__extract_doy + , visits_source_src_10011.referrer_id AS visit__referrer_id + , visits_source_src_10011.user_id AS user + , visits_source_src_10011.session_id AS session + , visits_source_src_10011.user_id AS visit__user + , visits_source_src_10011.session_id AS visit__session + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_4 + ) subq_5 + ) subq_6 + INNER JOIN ( + -- Add column with generated UUID + SELECT + subq_8.ds__day + , subq_8.ds__week + , subq_8.ds__month + , subq_8.ds__quarter + , subq_8.ds__year + , subq_8.ds__extract_year + , subq_8.ds__extract_quarter + , subq_8.ds__extract_month + , subq_8.ds__extract_day + , subq_8.ds__extract_dow + , subq_8.ds__extract_doy + , subq_8.buy__ds__day + , subq_8.buy__ds__week + , subq_8.buy__ds__month + , subq_8.buy__ds__quarter + , subq_8.buy__ds__year + , subq_8.buy__ds__extract_year + , subq_8.buy__ds__extract_quarter + , subq_8.buy__ds__extract_month + , subq_8.buy__ds__extract_day + , subq_8.buy__ds__extract_dow + , subq_8.buy__ds__extract_doy + , subq_8.metric_time__day + , subq_8.metric_time__week + , subq_8.metric_time__month + , subq_8.metric_time__quarter + , subq_8.metric_time__year + , subq_8.metric_time__extract_year + , subq_8.metric_time__extract_quarter + , subq_8.metric_time__extract_month + , subq_8.metric_time__extract_day + , subq_8.metric_time__extract_dow + , subq_8.metric_time__extract_doy + , subq_8.user + , subq_8.session_id + , subq_8.buy__user + , subq_8.buy__session_id + , subq_8.buys + , subq_8.buyers + , uuid() AS mf_internal_uuid + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_7.ds__day + , subq_7.ds__week + , subq_7.ds__month + , subq_7.ds__quarter + , subq_7.ds__year + , subq_7.ds__extract_year + , subq_7.ds__extract_quarter + , subq_7.ds__extract_month + , subq_7.ds__extract_day + , subq_7.ds__extract_dow + , subq_7.ds__extract_doy + , subq_7.buy__ds__day + , subq_7.buy__ds__week + , subq_7.buy__ds__month + , subq_7.buy__ds__quarter + , subq_7.buy__ds__year + , subq_7.buy__ds__extract_year + , subq_7.buy__ds__extract_quarter + , subq_7.buy__ds__extract_month + , subq_7.buy__ds__extract_day + , subq_7.buy__ds__extract_dow + , subq_7.buy__ds__extract_doy + , subq_7.ds__day AS metric_time__day + , subq_7.ds__week AS metric_time__week + , subq_7.ds__month AS metric_time__month + , subq_7.ds__quarter AS metric_time__quarter + , subq_7.ds__year AS metric_time__year + , subq_7.ds__extract_year AS metric_time__extract_year + , subq_7.ds__extract_quarter AS metric_time__extract_quarter + , subq_7.ds__extract_month AS metric_time__extract_month + , subq_7.ds__extract_day AS metric_time__extract_day + , subq_7.ds__extract_dow AS metric_time__extract_dow + , subq_7.ds__extract_doy AS metric_time__extract_doy + , subq_7.user + , subq_7.session_id + , subq_7.buy__user + , subq_7.buy__session_id + , subq_7.buys + , subq_7.buyers + FROM ( + -- Read Elements From Semantic Model 'buys_source' + SELECT + 1 AS buys + , buys_source_src_10002.user_id AS buyers + , DATE_TRUNC('day', buys_source_src_10002.ds) AS ds__day + , DATE_TRUNC('week', buys_source_src_10002.ds) AS ds__week + , DATE_TRUNC('month', buys_source_src_10002.ds) AS ds__month + , DATE_TRUNC('quarter', buys_source_src_10002.ds) AS ds__quarter + , DATE_TRUNC('year', buys_source_src_10002.ds) AS ds__year + , EXTRACT(year FROM buys_source_src_10002.ds) AS ds__extract_year + , EXTRACT(quarter FROM buys_source_src_10002.ds) AS ds__extract_quarter + , EXTRACT(month FROM buys_source_src_10002.ds) AS ds__extract_month + , EXTRACT(day FROM buys_source_src_10002.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM buys_source_src_10002.ds) AS ds__extract_dow + , EXTRACT(doy FROM buys_source_src_10002.ds) AS ds__extract_doy + , DATE_TRUNC('day', buys_source_src_10002.ds) AS buy__ds__day + , DATE_TRUNC('week', buys_source_src_10002.ds) AS buy__ds__week + , DATE_TRUNC('month', buys_source_src_10002.ds) AS buy__ds__month + , DATE_TRUNC('quarter', buys_source_src_10002.ds) AS buy__ds__quarter + , DATE_TRUNC('year', buys_source_src_10002.ds) AS buy__ds__year + , EXTRACT(year FROM buys_source_src_10002.ds) AS buy__ds__extract_year + , EXTRACT(quarter FROM buys_source_src_10002.ds) AS buy__ds__extract_quarter + , EXTRACT(month FROM buys_source_src_10002.ds) AS buy__ds__extract_month + , EXTRACT(day FROM buys_source_src_10002.ds) AS buy__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM buys_source_src_10002.ds) AS buy__ds__extract_dow + , EXTRACT(doy FROM buys_source_src_10002.ds) AS buy__ds__extract_doy + , buys_source_src_10002.user_id AS user + , buys_source_src_10002.session_id + , buys_source_src_10002.user_id AS buy__user + , buys_source_src_10002.session_id AS buy__session_id + FROM ***************************.fct_buys buys_source_src_10002 + ) subq_7 + ) subq_8 + ) subq_9 + ON + ( + subq_6.user = subq_9.user + ) AND ( + subq_6.session = subq_9.session_id + ) AND ( + ( + subq_6.ds__day <= subq_9.ds__day + ) AND ( + subq_6.ds__day > DATE_ADD('day', -7, subq_9.ds__day) + ) + ) + ) subq_10 + ) subq_11 + ) subq_12 + GROUP BY + subq_12.metric_time__day + , subq_12.visit__referrer_id + ) subq_13 + ON + ( + subq_3.visit__referrer_id = subq_13.visit__referrer_id + ) AND ( + subq_3.metric_time__day = subq_13.metric_time__day + ) + GROUP BY + COALESCE(subq_3.metric_time__day, subq_13.metric_time__day) + , COALESCE(subq_3.visit__referrer_id, subq_13.visit__referrer_id) +) subq_14 diff --git a/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_constant_properties__plan0_optimized.sql b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_constant_properties__plan0_optimized.sql new file mode 100644 index 0000000000..dd31bc8ef0 --- /dev/null +++ b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_constant_properties__plan0_optimized.sql @@ -0,0 +1,111 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , visit__referrer_id + , CAST(buys AS DOUBLE) / CAST(NULLIF(visits, 0) AS DOUBLE) AS visit_buy_conversion_rate_by_session +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_18.metric_time__day, subq_28.metric_time__day) AS metric_time__day + , COALESCE(subq_18.visit__referrer_id, subq_28.visit__referrer_id) AS visit__referrer_id + , MAX(subq_18.visits) AS visits + , MAX(subq_28.buys) AS buys + FROM ( + -- Aggregate Measures + SELECT + metric_time__day + , visit__referrer_id + , SUM(visits) AS visits + FROM ( + -- Read Elements From Semantic Model 'visits_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['visits', 'visit__referrer_id', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , referrer_id AS visit__referrer_id + , 1 AS visits + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_17 + GROUP BY + metric_time__day + , visit__referrer_id + ) subq_18 + FULL OUTER JOIN ( + -- Find conversions for user within the range of 7 day + -- Pass Only Elements: + -- ['buys', 'visit__referrer_id', 'metric_time__day'] + -- Aggregate Measures + SELECT + metric_time__day + , visit__referrer_id + , SUM(buys) AS buys + FROM ( + -- Dedupe the fanout with mf_internal_uuid in the conversion data set + SELECT DISTINCT + first_value(subq_21.visits) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid, subq_24.session_id ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visits + , first_value(subq_21.visit__referrer_id) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid, subq_24.session_id ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visit__referrer_id + , first_value(subq_21.ds__day) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid, subq_24.session_id ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS ds__day + , first_value(subq_21.metric_time__day) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid, subq_24.session_id ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS metric_time__day + , first_value(subq_21.user) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid, subq_24.session_id ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS user + , first_value(subq_21.session) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid, subq_24.session_id ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS session + , subq_24.mf_internal_uuid AS mf_internal_uuid + , subq_24.buys AS buys + FROM ( + -- Read Elements From Semantic Model 'visits_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['visits', + -- 'visit__referrer_id', + -- 'ds__day', + -- 'metric_time__day', + -- 'user', + -- 'session'] + SELECT + DATE_TRUNC('day', ds) AS ds__day + , DATE_TRUNC('day', ds) AS metric_time__day + , user_id AS user + , session_id AS session + , referrer_id AS visit__referrer_id + , 1 AS visits + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_21 + INNER JOIN ( + -- Read Elements From Semantic Model 'buys_source' + -- Metric Time Dimension 'ds' + -- Add column with generated UUID + SELECT + DATE_TRUNC('day', ds) AS ds__day + , user_id AS user + , session_id + , 1 AS buys + , uuid() AS mf_internal_uuid + FROM ***************************.fct_buys buys_source_src_10002 + ) subq_24 + ON + ( + subq_21.user = subq_24.user + ) AND ( + subq_21.session = subq_24.session_id + ) AND ( + ( + subq_21.ds__day <= subq_24.ds__day + ) AND ( + subq_21.ds__day > DATE_ADD('day', -7, subq_24.ds__day) + ) + ) + ) subq_25 + GROUP BY + metric_time__day + , visit__referrer_id + ) subq_28 + ON + ( + subq_18.visit__referrer_id = subq_28.visit__referrer_id + ) AND ( + subq_18.metric_time__day = subq_28.metric_time__day + ) + GROUP BY + COALESCE(subq_18.metric_time__day, subq_28.metric_time__day) + , COALESCE(subq_18.visit__referrer_id, subq_28.visit__referrer_id) +) subq_29 diff --git a/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_no_group_by__plan0.sql b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_no_group_by__plan0.sql new file mode 100644 index 0000000000..7ca65cd123 --- /dev/null +++ b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_no_group_by__plan0.sql @@ -0,0 +1,346 @@ +-- Compute Metrics via Expressions +SELECT + CAST(subq_14.buys AS DOUBLE) / CAST(NULLIF(subq_14.visits, 0) AS DOUBLE) AS visit_buy_conversion_rate_7days +FROM ( + -- Combine Aggregated Outputs + SELECT + MAX(subq_3.visits) AS visits + , MAX(subq_13.buys) AS buys + FROM ( + -- Aggregate Measures + SELECT + SUM(subq_2.visits) AS visits + FROM ( + -- Pass Only Elements: + -- ['visits'] + SELECT + subq_1.visits + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.visit__ds__day + , subq_0.visit__ds__week + , subq_0.visit__ds__month + , subq_0.visit__ds__quarter + , subq_0.visit__ds__year + , subq_0.visit__ds__extract_year + , subq_0.visit__ds__extract_quarter + , subq_0.visit__ds__extract_month + , subq_0.visit__ds__extract_day + , subq_0.visit__ds__extract_dow + , subq_0.visit__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.session + , subq_0.visit__user + , subq_0.visit__session + , subq_0.referrer_id + , subq_0.visit__referrer_id + , subq_0.visits + , subq_0.visitors + FROM ( + -- Read Elements From Semantic Model 'visits_source' + SELECT + 1 AS visits + , visits_source_src_10011.user_id AS visitors + , DATE_TRUNC('day', visits_source_src_10011.ds) AS ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS ds__extract_doy + , visits_source_src_10011.referrer_id + , DATE_TRUNC('day', visits_source_src_10011.ds) AS visit__ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS visit__ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS visit__ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS visit__ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS visit__ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS visit__ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS visit__ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS visit__ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS visit__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS visit__ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS visit__ds__extract_doy + , visits_source_src_10011.referrer_id AS visit__referrer_id + , visits_source_src_10011.user_id AS user + , visits_source_src_10011.session_id AS session + , visits_source_src_10011.user_id AS visit__user + , visits_source_src_10011.session_id AS visit__session + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_0 + ) subq_1 + ) subq_2 + ) subq_3 + CROSS JOIN ( + -- Aggregate Measures + SELECT + SUM(subq_12.buys) AS buys + FROM ( + -- Pass Only Elements: + -- ['buys'] + SELECT + subq_11.buys + FROM ( + -- Find conversions for user within the range of 7 day + SELECT + subq_10.ds__day + , subq_10.user + , subq_10.buys + , subq_10.visits + FROM ( + -- Dedupe the fanout with mf_internal_uuid in the conversion data set + SELECT DISTINCT + first_value(subq_6.visits) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visits + , first_value(subq_6.ds__day) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS ds__day + , first_value(subq_6.user) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS user + , subq_9.mf_internal_uuid AS mf_internal_uuid + , subq_9.buys AS buys + FROM ( + -- Pass Only Elements: + -- ['visits', 'ds__day', 'user'] + SELECT + subq_5.ds__day + , subq_5.user + , subq_5.visits + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.visit__ds__day + , subq_4.visit__ds__week + , subq_4.visit__ds__month + , subq_4.visit__ds__quarter + , subq_4.visit__ds__year + , subq_4.visit__ds__extract_year + , subq_4.visit__ds__extract_quarter + , subq_4.visit__ds__extract_month + , subq_4.visit__ds__extract_day + , subq_4.visit__ds__extract_dow + , subq_4.visit__ds__extract_doy + , subq_4.ds__day AS metric_time__day + , subq_4.ds__week AS metric_time__week + , subq_4.ds__month AS metric_time__month + , subq_4.ds__quarter AS metric_time__quarter + , subq_4.ds__year AS metric_time__year + , subq_4.ds__extract_year AS metric_time__extract_year + , subq_4.ds__extract_quarter AS metric_time__extract_quarter + , subq_4.ds__extract_month AS metric_time__extract_month + , subq_4.ds__extract_day AS metric_time__extract_day + , subq_4.ds__extract_dow AS metric_time__extract_dow + , subq_4.ds__extract_doy AS metric_time__extract_doy + , subq_4.user + , subq_4.session + , subq_4.visit__user + , subq_4.visit__session + , subq_4.referrer_id + , subq_4.visit__referrer_id + , subq_4.visits + , subq_4.visitors + FROM ( + -- Read Elements From Semantic Model 'visits_source' + SELECT + 1 AS visits + , visits_source_src_10011.user_id AS visitors + , DATE_TRUNC('day', visits_source_src_10011.ds) AS ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS ds__extract_doy + , visits_source_src_10011.referrer_id + , DATE_TRUNC('day', visits_source_src_10011.ds) AS visit__ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS visit__ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS visit__ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS visit__ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS visit__ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS visit__ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS visit__ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS visit__ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS visit__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS visit__ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS visit__ds__extract_doy + , visits_source_src_10011.referrer_id AS visit__referrer_id + , visits_source_src_10011.user_id AS user + , visits_source_src_10011.session_id AS session + , visits_source_src_10011.user_id AS visit__user + , visits_source_src_10011.session_id AS visit__session + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_4 + ) subq_5 + ) subq_6 + INNER JOIN ( + -- Add column with generated UUID + SELECT + subq_8.ds__day + , subq_8.ds__week + , subq_8.ds__month + , subq_8.ds__quarter + , subq_8.ds__year + , subq_8.ds__extract_year + , subq_8.ds__extract_quarter + , subq_8.ds__extract_month + , subq_8.ds__extract_day + , subq_8.ds__extract_dow + , subq_8.ds__extract_doy + , subq_8.buy__ds__day + , subq_8.buy__ds__week + , subq_8.buy__ds__month + , subq_8.buy__ds__quarter + , subq_8.buy__ds__year + , subq_8.buy__ds__extract_year + , subq_8.buy__ds__extract_quarter + , subq_8.buy__ds__extract_month + , subq_8.buy__ds__extract_day + , subq_8.buy__ds__extract_dow + , subq_8.buy__ds__extract_doy + , subq_8.metric_time__day + , subq_8.metric_time__week + , subq_8.metric_time__month + , subq_8.metric_time__quarter + , subq_8.metric_time__year + , subq_8.metric_time__extract_year + , subq_8.metric_time__extract_quarter + , subq_8.metric_time__extract_month + , subq_8.metric_time__extract_day + , subq_8.metric_time__extract_dow + , subq_8.metric_time__extract_doy + , subq_8.user + , subq_8.session_id + , subq_8.buy__user + , subq_8.buy__session_id + , subq_8.buys + , subq_8.buyers + , uuid() AS mf_internal_uuid + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_7.ds__day + , subq_7.ds__week + , subq_7.ds__month + , subq_7.ds__quarter + , subq_7.ds__year + , subq_7.ds__extract_year + , subq_7.ds__extract_quarter + , subq_7.ds__extract_month + , subq_7.ds__extract_day + , subq_7.ds__extract_dow + , subq_7.ds__extract_doy + , subq_7.buy__ds__day + , subq_7.buy__ds__week + , subq_7.buy__ds__month + , subq_7.buy__ds__quarter + , subq_7.buy__ds__year + , subq_7.buy__ds__extract_year + , subq_7.buy__ds__extract_quarter + , subq_7.buy__ds__extract_month + , subq_7.buy__ds__extract_day + , subq_7.buy__ds__extract_dow + , subq_7.buy__ds__extract_doy + , subq_7.ds__day AS metric_time__day + , subq_7.ds__week AS metric_time__week + , subq_7.ds__month AS metric_time__month + , subq_7.ds__quarter AS metric_time__quarter + , subq_7.ds__year AS metric_time__year + , subq_7.ds__extract_year AS metric_time__extract_year + , subq_7.ds__extract_quarter AS metric_time__extract_quarter + , subq_7.ds__extract_month AS metric_time__extract_month + , subq_7.ds__extract_day AS metric_time__extract_day + , subq_7.ds__extract_dow AS metric_time__extract_dow + , subq_7.ds__extract_doy AS metric_time__extract_doy + , subq_7.user + , subq_7.session_id + , subq_7.buy__user + , subq_7.buy__session_id + , subq_7.buys + , subq_7.buyers + FROM ( + -- Read Elements From Semantic Model 'buys_source' + SELECT + 1 AS buys + , buys_source_src_10002.user_id AS buyers + , DATE_TRUNC('day', buys_source_src_10002.ds) AS ds__day + , DATE_TRUNC('week', buys_source_src_10002.ds) AS ds__week + , DATE_TRUNC('month', buys_source_src_10002.ds) AS ds__month + , DATE_TRUNC('quarter', buys_source_src_10002.ds) AS ds__quarter + , DATE_TRUNC('year', buys_source_src_10002.ds) AS ds__year + , EXTRACT(year FROM buys_source_src_10002.ds) AS ds__extract_year + , EXTRACT(quarter FROM buys_source_src_10002.ds) AS ds__extract_quarter + , EXTRACT(month FROM buys_source_src_10002.ds) AS ds__extract_month + , EXTRACT(day FROM buys_source_src_10002.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM buys_source_src_10002.ds) AS ds__extract_dow + , EXTRACT(doy FROM buys_source_src_10002.ds) AS ds__extract_doy + , DATE_TRUNC('day', buys_source_src_10002.ds) AS buy__ds__day + , DATE_TRUNC('week', buys_source_src_10002.ds) AS buy__ds__week + , DATE_TRUNC('month', buys_source_src_10002.ds) AS buy__ds__month + , DATE_TRUNC('quarter', buys_source_src_10002.ds) AS buy__ds__quarter + , DATE_TRUNC('year', buys_source_src_10002.ds) AS buy__ds__year + , EXTRACT(year FROM buys_source_src_10002.ds) AS buy__ds__extract_year + , EXTRACT(quarter FROM buys_source_src_10002.ds) AS buy__ds__extract_quarter + , EXTRACT(month FROM buys_source_src_10002.ds) AS buy__ds__extract_month + , EXTRACT(day FROM buys_source_src_10002.ds) AS buy__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM buys_source_src_10002.ds) AS buy__ds__extract_dow + , EXTRACT(doy FROM buys_source_src_10002.ds) AS buy__ds__extract_doy + , buys_source_src_10002.user_id AS user + , buys_source_src_10002.session_id + , buys_source_src_10002.user_id AS buy__user + , buys_source_src_10002.session_id AS buy__session_id + FROM ***************************.fct_buys buys_source_src_10002 + ) subq_7 + ) subq_8 + ) subq_9 + ON + ( + subq_6.user = subq_9.user + ) AND ( + ( + subq_6.ds__day <= subq_9.ds__day + ) AND ( + subq_6.ds__day > DATE_ADD('day', -7, subq_9.ds__day) + ) + ) + ) subq_10 + ) subq_11 + ) subq_12 + ) subq_13 +) subq_14 diff --git a/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_no_group_by__plan0_optimized.sql b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_no_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..69b10a78a8 --- /dev/null +++ b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_no_group_by__plan0_optimized.sql @@ -0,0 +1,63 @@ +-- Combine Aggregated Outputs +-- Compute Metrics via Expressions +SELECT + CAST(MAX(subq_28.buys) AS DOUBLE) / CAST(NULLIF(MAX(subq_18.visits), 0) AS DOUBLE) AS visit_buy_conversion_rate_7days +FROM ( + -- Read Elements From Semantic Model 'visits_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['visits'] + -- Aggregate Measures + SELECT + SUM(1) AS visits + FROM ***************************.fct_visits visits_source_src_10011 +) subq_18 +CROSS JOIN ( + -- Find conversions for user within the range of 7 day + -- Pass Only Elements: + -- ['buys'] + -- Aggregate Measures + SELECT + SUM(buys) AS buys + FROM ( + -- Dedupe the fanout with mf_internal_uuid in the conversion data set + SELECT DISTINCT + first_value(subq_21.visits) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visits + , first_value(subq_21.ds__day) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS ds__day + , first_value(subq_21.user) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS user + , subq_24.mf_internal_uuid AS mf_internal_uuid + , subq_24.buys AS buys + FROM ( + -- Read Elements From Semantic Model 'visits_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['visits', 'ds__day', 'user'] + SELECT + DATE_TRUNC('day', ds) AS ds__day + , user_id AS user + , 1 AS visits + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_21 + INNER JOIN ( + -- Read Elements From Semantic Model 'buys_source' + -- Metric Time Dimension 'ds' + -- Add column with generated UUID + SELECT + DATE_TRUNC('day', ds) AS ds__day + , user_id AS user + , 1 AS buys + , uuid() AS mf_internal_uuid + FROM ***************************.fct_buys buys_source_src_10002 + ) subq_24 + ON + ( + subq_21.user = subq_24.user + ) AND ( + ( + subq_21.ds__day <= subq_24.ds__day + ) AND ( + subq_21.ds__day > DATE_ADD('day', -7, subq_24.ds__day) + ) + ) + ) subq_25 +) subq_28 diff --git a/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_window__plan0.sql b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_window__plan0.sql new file mode 100644 index 0000000000..2ecf6c63a9 --- /dev/null +++ b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_window__plan0.sql @@ -0,0 +1,379 @@ +-- Compute Metrics via Expressions +SELECT + subq_14.metric_time__day + , subq_14.visit__referrer_id + , CAST(subq_14.buys AS DOUBLE) / CAST(NULLIF(subq_14.visits, 0) AS DOUBLE) AS visit_buy_conversion_rate_7days +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_3.metric_time__day, subq_13.metric_time__day) AS metric_time__day + , COALESCE(subq_3.visit__referrer_id, subq_13.visit__referrer_id) AS visit__referrer_id + , MAX(subq_3.visits) AS visits + , MAX(subq_13.buys) AS buys + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , subq_2.visit__referrer_id + , SUM(subq_2.visits) AS visits + FROM ( + -- Pass Only Elements: + -- ['visits', 'visit__referrer_id', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.visit__referrer_id + , subq_1.visits + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.visit__ds__day + , subq_0.visit__ds__week + , subq_0.visit__ds__month + , subq_0.visit__ds__quarter + , subq_0.visit__ds__year + , subq_0.visit__ds__extract_year + , subq_0.visit__ds__extract_quarter + , subq_0.visit__ds__extract_month + , subq_0.visit__ds__extract_day + , subq_0.visit__ds__extract_dow + , subq_0.visit__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.session + , subq_0.visit__user + , subq_0.visit__session + , subq_0.referrer_id + , subq_0.visit__referrer_id + , subq_0.visits + , subq_0.visitors + FROM ( + -- Read Elements From Semantic Model 'visits_source' + SELECT + 1 AS visits + , visits_source_src_10011.user_id AS visitors + , DATE_TRUNC('day', visits_source_src_10011.ds) AS ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS ds__extract_doy + , visits_source_src_10011.referrer_id + , DATE_TRUNC('day', visits_source_src_10011.ds) AS visit__ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS visit__ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS visit__ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS visit__ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS visit__ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS visit__ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS visit__ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS visit__ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS visit__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS visit__ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS visit__ds__extract_doy + , visits_source_src_10011.referrer_id AS visit__referrer_id + , visits_source_src_10011.user_id AS user + , visits_source_src_10011.session_id AS session + , visits_source_src_10011.user_id AS visit__user + , visits_source_src_10011.session_id AS visit__session + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + , subq_2.visit__referrer_id + ) subq_3 + FULL OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_12.metric_time__day + , subq_12.visit__referrer_id + , SUM(subq_12.buys) AS buys + FROM ( + -- Pass Only Elements: + -- ['buys', 'visit__referrer_id', 'metric_time__day'] + SELECT + subq_11.metric_time__day + , subq_11.visit__referrer_id + , subq_11.buys + FROM ( + -- Find conversions for user within the range of 7 day + SELECT + subq_10.ds__day + , subq_10.metric_time__day + , subq_10.user + , subq_10.visit__referrer_id + , subq_10.buys + , subq_10.visits + FROM ( + -- Dedupe the fanout with mf_internal_uuid in the conversion data set + SELECT DISTINCT + first_value(subq_6.visits) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visits + , first_value(subq_6.visit__referrer_id) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visit__referrer_id + , first_value(subq_6.ds__day) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS ds__day + , first_value(subq_6.metric_time__day) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS metric_time__day + , first_value(subq_6.user) OVER (PARTITION BY subq_9.user, subq_9.ds__day, subq_9.mf_internal_uuid ORDER BY subq_6.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS user + , subq_9.mf_internal_uuid AS mf_internal_uuid + , subq_9.buys AS buys + FROM ( + -- Pass Only Elements: + -- ['visits', 'visit__referrer_id', 'ds__day', 'metric_time__day', 'user'] + SELECT + subq_5.ds__day + , subq_5.metric_time__day + , subq_5.user + , subq_5.visit__referrer_id + , subq_5.visits + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.visit__ds__day + , subq_4.visit__ds__week + , subq_4.visit__ds__month + , subq_4.visit__ds__quarter + , subq_4.visit__ds__year + , subq_4.visit__ds__extract_year + , subq_4.visit__ds__extract_quarter + , subq_4.visit__ds__extract_month + , subq_4.visit__ds__extract_day + , subq_4.visit__ds__extract_dow + , subq_4.visit__ds__extract_doy + , subq_4.ds__day AS metric_time__day + , subq_4.ds__week AS metric_time__week + , subq_4.ds__month AS metric_time__month + , subq_4.ds__quarter AS metric_time__quarter + , subq_4.ds__year AS metric_time__year + , subq_4.ds__extract_year AS metric_time__extract_year + , subq_4.ds__extract_quarter AS metric_time__extract_quarter + , subq_4.ds__extract_month AS metric_time__extract_month + , subq_4.ds__extract_day AS metric_time__extract_day + , subq_4.ds__extract_dow AS metric_time__extract_dow + , subq_4.ds__extract_doy AS metric_time__extract_doy + , subq_4.user + , subq_4.session + , subq_4.visit__user + , subq_4.visit__session + , subq_4.referrer_id + , subq_4.visit__referrer_id + , subq_4.visits + , subq_4.visitors + FROM ( + -- Read Elements From Semantic Model 'visits_source' + SELECT + 1 AS visits + , visits_source_src_10011.user_id AS visitors + , DATE_TRUNC('day', visits_source_src_10011.ds) AS ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS ds__extract_doy + , visits_source_src_10011.referrer_id + , DATE_TRUNC('day', visits_source_src_10011.ds) AS visit__ds__day + , DATE_TRUNC('week', visits_source_src_10011.ds) AS visit__ds__week + , DATE_TRUNC('month', visits_source_src_10011.ds) AS visit__ds__month + , DATE_TRUNC('quarter', visits_source_src_10011.ds) AS visit__ds__quarter + , DATE_TRUNC('year', visits_source_src_10011.ds) AS visit__ds__year + , EXTRACT(year FROM visits_source_src_10011.ds) AS visit__ds__extract_year + , EXTRACT(quarter FROM visits_source_src_10011.ds) AS visit__ds__extract_quarter + , EXTRACT(month FROM visits_source_src_10011.ds) AS visit__ds__extract_month + , EXTRACT(day FROM visits_source_src_10011.ds) AS visit__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM visits_source_src_10011.ds) AS visit__ds__extract_dow + , EXTRACT(doy FROM visits_source_src_10011.ds) AS visit__ds__extract_doy + , visits_source_src_10011.referrer_id AS visit__referrer_id + , visits_source_src_10011.user_id AS user + , visits_source_src_10011.session_id AS session + , visits_source_src_10011.user_id AS visit__user + , visits_source_src_10011.session_id AS visit__session + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_4 + ) subq_5 + ) subq_6 + INNER JOIN ( + -- Add column with generated UUID + SELECT + subq_8.ds__day + , subq_8.ds__week + , subq_8.ds__month + , subq_8.ds__quarter + , subq_8.ds__year + , subq_8.ds__extract_year + , subq_8.ds__extract_quarter + , subq_8.ds__extract_month + , subq_8.ds__extract_day + , subq_8.ds__extract_dow + , subq_8.ds__extract_doy + , subq_8.buy__ds__day + , subq_8.buy__ds__week + , subq_8.buy__ds__month + , subq_8.buy__ds__quarter + , subq_8.buy__ds__year + , subq_8.buy__ds__extract_year + , subq_8.buy__ds__extract_quarter + , subq_8.buy__ds__extract_month + , subq_8.buy__ds__extract_day + , subq_8.buy__ds__extract_dow + , subq_8.buy__ds__extract_doy + , subq_8.metric_time__day + , subq_8.metric_time__week + , subq_8.metric_time__month + , subq_8.metric_time__quarter + , subq_8.metric_time__year + , subq_8.metric_time__extract_year + , subq_8.metric_time__extract_quarter + , subq_8.metric_time__extract_month + , subq_8.metric_time__extract_day + , subq_8.metric_time__extract_dow + , subq_8.metric_time__extract_doy + , subq_8.user + , subq_8.session_id + , subq_8.buy__user + , subq_8.buy__session_id + , subq_8.buys + , subq_8.buyers + , uuid() AS mf_internal_uuid + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_7.ds__day + , subq_7.ds__week + , subq_7.ds__month + , subq_7.ds__quarter + , subq_7.ds__year + , subq_7.ds__extract_year + , subq_7.ds__extract_quarter + , subq_7.ds__extract_month + , subq_7.ds__extract_day + , subq_7.ds__extract_dow + , subq_7.ds__extract_doy + , subq_7.buy__ds__day + , subq_7.buy__ds__week + , subq_7.buy__ds__month + , subq_7.buy__ds__quarter + , subq_7.buy__ds__year + , subq_7.buy__ds__extract_year + , subq_7.buy__ds__extract_quarter + , subq_7.buy__ds__extract_month + , subq_7.buy__ds__extract_day + , subq_7.buy__ds__extract_dow + , subq_7.buy__ds__extract_doy + , subq_7.ds__day AS metric_time__day + , subq_7.ds__week AS metric_time__week + , subq_7.ds__month AS metric_time__month + , subq_7.ds__quarter AS metric_time__quarter + , subq_7.ds__year AS metric_time__year + , subq_7.ds__extract_year AS metric_time__extract_year + , subq_7.ds__extract_quarter AS metric_time__extract_quarter + , subq_7.ds__extract_month AS metric_time__extract_month + , subq_7.ds__extract_day AS metric_time__extract_day + , subq_7.ds__extract_dow AS metric_time__extract_dow + , subq_7.ds__extract_doy AS metric_time__extract_doy + , subq_7.user + , subq_7.session_id + , subq_7.buy__user + , subq_7.buy__session_id + , subq_7.buys + , subq_7.buyers + FROM ( + -- Read Elements From Semantic Model 'buys_source' + SELECT + 1 AS buys + , buys_source_src_10002.user_id AS buyers + , DATE_TRUNC('day', buys_source_src_10002.ds) AS ds__day + , DATE_TRUNC('week', buys_source_src_10002.ds) AS ds__week + , DATE_TRUNC('month', buys_source_src_10002.ds) AS ds__month + , DATE_TRUNC('quarter', buys_source_src_10002.ds) AS ds__quarter + , DATE_TRUNC('year', buys_source_src_10002.ds) AS ds__year + , EXTRACT(year FROM buys_source_src_10002.ds) AS ds__extract_year + , EXTRACT(quarter FROM buys_source_src_10002.ds) AS ds__extract_quarter + , EXTRACT(month FROM buys_source_src_10002.ds) AS ds__extract_month + , EXTRACT(day FROM buys_source_src_10002.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM buys_source_src_10002.ds) AS ds__extract_dow + , EXTRACT(doy FROM buys_source_src_10002.ds) AS ds__extract_doy + , DATE_TRUNC('day', buys_source_src_10002.ds) AS buy__ds__day + , DATE_TRUNC('week', buys_source_src_10002.ds) AS buy__ds__week + , DATE_TRUNC('month', buys_source_src_10002.ds) AS buy__ds__month + , DATE_TRUNC('quarter', buys_source_src_10002.ds) AS buy__ds__quarter + , DATE_TRUNC('year', buys_source_src_10002.ds) AS buy__ds__year + , EXTRACT(year FROM buys_source_src_10002.ds) AS buy__ds__extract_year + , EXTRACT(quarter FROM buys_source_src_10002.ds) AS buy__ds__extract_quarter + , EXTRACT(month FROM buys_source_src_10002.ds) AS buy__ds__extract_month + , EXTRACT(day FROM buys_source_src_10002.ds) AS buy__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM buys_source_src_10002.ds) AS buy__ds__extract_dow + , EXTRACT(doy FROM buys_source_src_10002.ds) AS buy__ds__extract_doy + , buys_source_src_10002.user_id AS user + , buys_source_src_10002.session_id + , buys_source_src_10002.user_id AS buy__user + , buys_source_src_10002.session_id AS buy__session_id + FROM ***************************.fct_buys buys_source_src_10002 + ) subq_7 + ) subq_8 + ) subq_9 + ON + ( + subq_6.user = subq_9.user + ) AND ( + ( + subq_6.ds__day <= subq_9.ds__day + ) AND ( + subq_6.ds__day > DATE_ADD('day', -7, subq_9.ds__day) + ) + ) + ) subq_10 + ) subq_11 + ) subq_12 + GROUP BY + subq_12.metric_time__day + , subq_12.visit__referrer_id + ) subq_13 + ON + ( + subq_3.visit__referrer_id = subq_13.visit__referrer_id + ) AND ( + subq_3.metric_time__day = subq_13.metric_time__day + ) + GROUP BY + COALESCE(subq_3.metric_time__day, subq_13.metric_time__day) + , COALESCE(subq_3.visit__referrer_id, subq_13.visit__referrer_id) +) subq_14 diff --git a/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_window__plan0_optimized.sql b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_window__plan0_optimized.sql new file mode 100644 index 0000000000..358169cce7 --- /dev/null +++ b/metricflow/test/snapshots/test_conversion_metrics_to_sql.py/SqlQueryPlan/Trino/test_conversion_rate_with_window__plan0_optimized.sql @@ -0,0 +1,101 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , visit__referrer_id + , CAST(buys AS DOUBLE) / CAST(NULLIF(visits, 0) AS DOUBLE) AS visit_buy_conversion_rate_7days +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_18.metric_time__day, subq_28.metric_time__day) AS metric_time__day + , COALESCE(subq_18.visit__referrer_id, subq_28.visit__referrer_id) AS visit__referrer_id + , MAX(subq_18.visits) AS visits + , MAX(subq_28.buys) AS buys + FROM ( + -- Aggregate Measures + SELECT + metric_time__day + , visit__referrer_id + , SUM(visits) AS visits + FROM ( + -- Read Elements From Semantic Model 'visits_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['visits', 'visit__referrer_id', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , referrer_id AS visit__referrer_id + , 1 AS visits + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_17 + GROUP BY + metric_time__day + , visit__referrer_id + ) subq_18 + FULL OUTER JOIN ( + -- Find conversions for user within the range of 7 day + -- Pass Only Elements: + -- ['buys', 'visit__referrer_id', 'metric_time__day'] + -- Aggregate Measures + SELECT + metric_time__day + , visit__referrer_id + , SUM(buys) AS buys + FROM ( + -- Dedupe the fanout with mf_internal_uuid in the conversion data set + SELECT DISTINCT + first_value(subq_21.visits) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visits + , first_value(subq_21.visit__referrer_id) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS visit__referrer_id + , first_value(subq_21.ds__day) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS ds__day + , first_value(subq_21.metric_time__day) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS metric_time__day + , first_value(subq_21.user) OVER (PARTITION BY subq_24.user, subq_24.ds__day, subq_24.mf_internal_uuid ORDER BY subq_21.ds__day DESC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS user + , subq_24.mf_internal_uuid AS mf_internal_uuid + , subq_24.buys AS buys + FROM ( + -- Read Elements From Semantic Model 'visits_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['visits', 'visit__referrer_id', 'ds__day', 'metric_time__day', 'user'] + SELECT + DATE_TRUNC('day', ds) AS ds__day + , DATE_TRUNC('day', ds) AS metric_time__day + , user_id AS user + , referrer_id AS visit__referrer_id + , 1 AS visits + FROM ***************************.fct_visits visits_source_src_10011 + ) subq_21 + INNER JOIN ( + -- Read Elements From Semantic Model 'buys_source' + -- Metric Time Dimension 'ds' + -- Add column with generated UUID + SELECT + DATE_TRUNC('day', ds) AS ds__day + , user_id AS user + , 1 AS buys + , uuid() AS mf_internal_uuid + FROM ***************************.fct_buys buys_source_src_10002 + ) subq_24 + ON + ( + subq_21.user = subq_24.user + ) AND ( + ( + subq_21.ds__day <= subq_24.ds__day + ) AND ( + subq_21.ds__day > DATE_ADD('day', -7, subq_24.ds__day) + ) + ) + ) subq_25 + GROUP BY + metric_time__day + , visit__referrer_id + ) subq_28 + ON + ( + subq_18.visit__referrer_id = subq_28.visit__referrer_id + ) AND ( + subq_18.metric_time__day = subq_28.metric_time__day + ) + GROUP BY + COALESCE(subq_18.metric_time__day, subq_28.metric_time__day) + , COALESCE(subq_18.visit__referrer_id, subq_28.visit__referrer_id) +) subq_29 diff --git a/metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Trino/test_convert_query_semantic_model__plan0.sql b/metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Trino/test_convert_query_semantic_model__plan0.sql new file mode 100644 index 0000000000..b615260818 --- /dev/null +++ b/metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Trino/test_convert_query_semantic_model__plan0.sql @@ -0,0 +1,28 @@ +-- Read Elements From Semantic Model 'revenue' +SELECT + revenue_src_10007.revenue AS txn_revenue + , DATE_TRUNC('day', revenue_src_10007.created_at) AS ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS ds__extract_doy + , DATE_TRUNC('day', revenue_src_10007.created_at) AS company__ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS company__ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS company__ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS company__ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS company__ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS company__ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS company__ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS company__ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS company__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS company__ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS company__ds__extract_doy + , revenue_src_10007.user_id AS user + , revenue_src_10007.user_id AS company__user +FROM ***************************.fct_revenue revenue_src_10007 diff --git a/metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Trino/test_convert_table_semantic_model_with_measures__plan0.sql b/metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Trino/test_convert_table_semantic_model_with_measures__plan0.sql new file mode 100644 index 0000000000..26ee6990b0 --- /dev/null +++ b/metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Trino/test_convert_table_semantic_model_with_measures__plan0.sql @@ -0,0 +1,53 @@ +-- Read Elements From Semantic Model 'id_verifications' +SELECT + 1 AS identity_verifications + , DATE_TRUNC('day', id_verifications_src_10004.ds) AS ds__day + , DATE_TRUNC('week', id_verifications_src_10004.ds) AS ds__week + , DATE_TRUNC('month', id_verifications_src_10004.ds) AS ds__month + , DATE_TRUNC('quarter', id_verifications_src_10004.ds) AS ds__quarter + , DATE_TRUNC('year', id_verifications_src_10004.ds) AS ds__year + , EXTRACT(year FROM id_verifications_src_10004.ds) AS ds__extract_year + , EXTRACT(quarter FROM id_verifications_src_10004.ds) AS ds__extract_quarter + , EXTRACT(month FROM id_verifications_src_10004.ds) AS ds__extract_month + , EXTRACT(day FROM id_verifications_src_10004.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM id_verifications_src_10004.ds) AS ds__extract_dow + , EXTRACT(doy FROM id_verifications_src_10004.ds) AS ds__extract_doy + , DATE_TRUNC('day', id_verifications_src_10004.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', id_verifications_src_10004.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', id_verifications_src_10004.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', id_verifications_src_10004.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', id_verifications_src_10004.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_doy + , id_verifications_src_10004.verification_type + , DATE_TRUNC('day', id_verifications_src_10004.ds) AS verification__ds__day + , DATE_TRUNC('week', id_verifications_src_10004.ds) AS verification__ds__week + , DATE_TRUNC('month', id_verifications_src_10004.ds) AS verification__ds__month + , DATE_TRUNC('quarter', id_verifications_src_10004.ds) AS verification__ds__quarter + , DATE_TRUNC('year', id_verifications_src_10004.ds) AS verification__ds__year + , EXTRACT(year FROM id_verifications_src_10004.ds) AS verification__ds__extract_year + , EXTRACT(quarter FROM id_verifications_src_10004.ds) AS verification__ds__extract_quarter + , EXTRACT(month FROM id_verifications_src_10004.ds) AS verification__ds__extract_month + , EXTRACT(day FROM id_verifications_src_10004.ds) AS verification__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM id_verifications_src_10004.ds) AS verification__ds__extract_dow + , EXTRACT(doy FROM id_verifications_src_10004.ds) AS verification__ds__extract_doy + , DATE_TRUNC('day', id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__day + , DATE_TRUNC('week', id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__week + , DATE_TRUNC('month', id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__month + , DATE_TRUNC('quarter', id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__quarter + , DATE_TRUNC('year', id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__year + , EXTRACT(year FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_year + , EXTRACT(quarter FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_quarter + , EXTRACT(month FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_month + , EXTRACT(day FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_dow + , EXTRACT(doy FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_doy + , id_verifications_src_10004.verification_type AS verification__verification_type + , id_verifications_src_10004.verification_id AS verification + , id_verifications_src_10004.user_id AS user + , id_verifications_src_10004.user_id AS verification__user +FROM ***************************.fct_id_verifications id_verifications_src_10004 diff --git a/metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Trino/test_convert_table_semantic_model_without_measures__plan0.sql b/metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Trino/test_convert_table_semantic_model_without_measures__plan0.sql new file mode 100644 index 0000000000..d14cc5b651 --- /dev/null +++ b/metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Trino/test_convert_table_semantic_model_without_measures__plan0.sql @@ -0,0 +1,28 @@ +-- Read Elements From Semantic Model 'users_latest' +SELECT + DATE_TRUNC('day', users_latest_src_10009.ds) AS ds_latest__day + , DATE_TRUNC('week', users_latest_src_10009.ds) AS ds_latest__week + , DATE_TRUNC('month', users_latest_src_10009.ds) AS ds_latest__month + , DATE_TRUNC('quarter', users_latest_src_10009.ds) AS ds_latest__quarter + , DATE_TRUNC('year', users_latest_src_10009.ds) AS ds_latest__year + , EXTRACT(year FROM users_latest_src_10009.ds) AS ds_latest__extract_year + , EXTRACT(quarter FROM users_latest_src_10009.ds) AS ds_latest__extract_quarter + , EXTRACT(month FROM users_latest_src_10009.ds) AS ds_latest__extract_month + , EXTRACT(day FROM users_latest_src_10009.ds) AS ds_latest__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10009.ds) AS ds_latest__extract_dow + , EXTRACT(doy FROM users_latest_src_10009.ds) AS ds_latest__extract_doy + , users_latest_src_10009.home_state_latest + , DATE_TRUNC('day', users_latest_src_10009.ds) AS user__ds_latest__day + , DATE_TRUNC('week', users_latest_src_10009.ds) AS user__ds_latest__week + , DATE_TRUNC('month', users_latest_src_10009.ds) AS user__ds_latest__month + , DATE_TRUNC('quarter', users_latest_src_10009.ds) AS user__ds_latest__quarter + , DATE_TRUNC('year', users_latest_src_10009.ds) AS user__ds_latest__year + , EXTRACT(year FROM users_latest_src_10009.ds) AS user__ds_latest__extract_year + , EXTRACT(quarter FROM users_latest_src_10009.ds) AS user__ds_latest__extract_quarter + , EXTRACT(month FROM users_latest_src_10009.ds) AS user__ds_latest__extract_month + , EXTRACT(day FROM users_latest_src_10009.ds) AS user__ds_latest__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10009.ds) AS user__ds_latest__extract_dow + , EXTRACT(doy FROM users_latest_src_10009.ds) AS user__ds_latest__extract_doy + , users_latest_src_10009.home_state_latest AS user__home_state_latest + , users_latest_src_10009.user_id AS user +FROM ***************************.dim_users_latest users_latest_src_10009 diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric__plan0.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric__plan0.sql new file mode 100644 index 0000000000..2f9b5fe681 --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric__plan0.sql @@ -0,0 +1,89 @@ +-- Compute Metrics via Expressions +SELECT + subq_3.ds__month + , subq_3.txn_revenue AS trailing_2_months_revenue +FROM ( + -- Aggregate Measures + SELECT + subq_2.ds__month + , SUM(subq_2.txn_revenue) AS txn_revenue + FROM ( + -- Pass Only Elements: + -- ['txn_revenue', 'ds__month'] + SELECT + subq_1.ds__month + , subq_1.txn_revenue + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.company__ds__day + , subq_0.company__ds__week + , subq_0.company__ds__month + , subq_0.company__ds__quarter + , subq_0.company__ds__year + , subq_0.company__ds__extract_year + , subq_0.company__ds__extract_quarter + , subq_0.company__ds__extract_month + , subq_0.company__ds__extract_day + , subq_0.company__ds__extract_dow + , subq_0.company__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.company__user + , subq_0.txn_revenue + FROM ( + -- Read Elements From Semantic Model 'revenue' + SELECT + revenue_src_10007.revenue AS txn_revenue + , DATE_TRUNC('day', revenue_src_10007.created_at) AS ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS ds__extract_doy + , DATE_TRUNC('day', revenue_src_10007.created_at) AS company__ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS company__ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS company__ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS company__ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS company__ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS company__ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS company__ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS company__ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS company__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS company__ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS company__ds__extract_doy + , revenue_src_10007.user_id AS user + , revenue_src_10007.user_id AS company__user + FROM ***************************.fct_revenue revenue_src_10007 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.ds__month +) subq_3 diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric__plan0_optimized.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric__plan0_optimized.sql new file mode 100644 index 0000000000..efe2244b0f --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric__plan0_optimized.sql @@ -0,0 +1,12 @@ +-- Read Elements From Semantic Model 'revenue' +-- Metric Time Dimension 'ds' +-- Pass Only Elements: +-- ['txn_revenue', 'ds__month'] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + DATE_TRUNC('month', created_at) AS ds__month + , SUM(revenue) AS trailing_2_months_revenue +FROM ***************************.fct_revenue revenue_src_10007 +GROUP BY + DATE_TRUNC('month', created_at) diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_grain_to_date__plan0.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_grain_to_date__plan0.sql new file mode 100644 index 0000000000..ca08f80e45 --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_grain_to_date__plan0.sql @@ -0,0 +1,89 @@ +-- Compute Metrics via Expressions +SELECT + subq_3.ds__month + , subq_3.txn_revenue AS revenue_mtd +FROM ( + -- Aggregate Measures + SELECT + subq_2.ds__month + , SUM(subq_2.txn_revenue) AS txn_revenue + FROM ( + -- Pass Only Elements: + -- ['txn_revenue', 'ds__month'] + SELECT + subq_1.ds__month + , subq_1.txn_revenue + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.company__ds__day + , subq_0.company__ds__week + , subq_0.company__ds__month + , subq_0.company__ds__quarter + , subq_0.company__ds__year + , subq_0.company__ds__extract_year + , subq_0.company__ds__extract_quarter + , subq_0.company__ds__extract_month + , subq_0.company__ds__extract_day + , subq_0.company__ds__extract_dow + , subq_0.company__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.company__user + , subq_0.txn_revenue + FROM ( + -- Read Elements From Semantic Model 'revenue' + SELECT + revenue_src_10007.revenue AS txn_revenue + , DATE_TRUNC('day', revenue_src_10007.created_at) AS ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS ds__extract_doy + , DATE_TRUNC('day', revenue_src_10007.created_at) AS company__ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS company__ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS company__ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS company__ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS company__ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS company__ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS company__ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS company__ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS company__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS company__ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS company__ds__extract_doy + , revenue_src_10007.user_id AS user + , revenue_src_10007.user_id AS company__user + FROM ***************************.fct_revenue revenue_src_10007 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.ds__month +) subq_3 diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_grain_to_date__plan0_optimized.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_grain_to_date__plan0_optimized.sql new file mode 100644 index 0000000000..a44bb5a72b --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_grain_to_date__plan0_optimized.sql @@ -0,0 +1,12 @@ +-- Read Elements From Semantic Model 'revenue' +-- Metric Time Dimension 'ds' +-- Pass Only Elements: +-- ['txn_revenue', 'ds__month'] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + DATE_TRUNC('month', created_at) AS ds__month + , SUM(revenue) AS revenue_mtd +FROM ***************************.fct_revenue revenue_src_10007 +GROUP BY + DATE_TRUNC('month', created_at) diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_ds__plan0.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_ds__plan0.sql new file mode 100644 index 0000000000..afce151a3d --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_ds__plan0.sql @@ -0,0 +1,84 @@ +-- Compute Metrics via Expressions +SELECT + subq_3.txn_revenue AS trailing_2_months_revenue +FROM ( + -- Aggregate Measures + SELECT + SUM(subq_2.txn_revenue) AS txn_revenue + FROM ( + -- Pass Only Elements: + -- ['txn_revenue'] + SELECT + subq_1.txn_revenue + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.company__ds__day + , subq_0.company__ds__week + , subq_0.company__ds__month + , subq_0.company__ds__quarter + , subq_0.company__ds__year + , subq_0.company__ds__extract_year + , subq_0.company__ds__extract_quarter + , subq_0.company__ds__extract_month + , subq_0.company__ds__extract_day + , subq_0.company__ds__extract_dow + , subq_0.company__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.company__user + , subq_0.txn_revenue + FROM ( + -- Read Elements From Semantic Model 'revenue' + SELECT + revenue_src_10007.revenue AS txn_revenue + , DATE_TRUNC('day', revenue_src_10007.created_at) AS ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS ds__extract_doy + , DATE_TRUNC('day', revenue_src_10007.created_at) AS company__ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS company__ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS company__ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS company__ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS company__ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS company__ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS company__ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS company__ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS company__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS company__ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS company__ds__extract_doy + , revenue_src_10007.user_id AS user + , revenue_src_10007.user_id AS company__user + FROM ***************************.fct_revenue revenue_src_10007 + ) subq_0 + ) subq_1 + ) subq_2 +) subq_3 diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_ds__plan0_optimized.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_ds__plan0_optimized.sql new file mode 100644 index 0000000000..30e9e6946d --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_ds__plan0_optimized.sql @@ -0,0 +1,9 @@ +-- Read Elements From Semantic Model 'revenue' +-- Metric Time Dimension 'ds' +-- Pass Only Elements: +-- ['txn_revenue'] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + SUM(revenue) AS trailing_2_months_revenue +FROM ***************************.fct_revenue revenue_src_10007 diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window__plan0.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window__plan0.sql new file mode 100644 index 0000000000..5062fa6a66 --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window__plan0.sql @@ -0,0 +1,89 @@ +-- Compute Metrics via Expressions +SELECT + subq_3.ds__month + , subq_3.txn_revenue AS revenue_all_time +FROM ( + -- Aggregate Measures + SELECT + subq_2.ds__month + , SUM(subq_2.txn_revenue) AS txn_revenue + FROM ( + -- Pass Only Elements: + -- ['txn_revenue', 'ds__month'] + SELECT + subq_1.ds__month + , subq_1.txn_revenue + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.company__ds__day + , subq_0.company__ds__week + , subq_0.company__ds__month + , subq_0.company__ds__quarter + , subq_0.company__ds__year + , subq_0.company__ds__extract_year + , subq_0.company__ds__extract_quarter + , subq_0.company__ds__extract_month + , subq_0.company__ds__extract_day + , subq_0.company__ds__extract_dow + , subq_0.company__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.company__user + , subq_0.txn_revenue + FROM ( + -- Read Elements From Semantic Model 'revenue' + SELECT + revenue_src_10007.revenue AS txn_revenue + , DATE_TRUNC('day', revenue_src_10007.created_at) AS ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS ds__extract_doy + , DATE_TRUNC('day', revenue_src_10007.created_at) AS company__ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS company__ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS company__ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS company__ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS company__ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS company__ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS company__ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS company__ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS company__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS company__ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS company__ds__extract_doy + , revenue_src_10007.user_id AS user + , revenue_src_10007.user_id AS company__user + FROM ***************************.fct_revenue revenue_src_10007 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.ds__month +) subq_3 diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window__plan0_optimized.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window__plan0_optimized.sql new file mode 100644 index 0000000000..ccf3a0f545 --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window__plan0_optimized.sql @@ -0,0 +1,12 @@ +-- Read Elements From Semantic Model 'revenue' +-- Metric Time Dimension 'ds' +-- Pass Only Elements: +-- ['txn_revenue', 'ds__month'] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + DATE_TRUNC('month', created_at) AS ds__month + , SUM(revenue) AS revenue_all_time +FROM ***************************.fct_revenue revenue_src_10007 +GROUP BY + DATE_TRUNC('month', created_at) diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window_with_time_constraint__plan0.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window_with_time_constraint__plan0.sql new file mode 100644 index 0000000000..f5cde6f1a4 --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window_with_time_constraint__plan0.sql @@ -0,0 +1,130 @@ +-- Compute Metrics via Expressions +SELECT + subq_4.ds__month + , subq_4.txn_revenue AS revenue_all_time +FROM ( + -- Aggregate Measures + SELECT + subq_3.ds__month + , SUM(subq_3.txn_revenue) AS txn_revenue + FROM ( + -- Pass Only Elements: + -- ['txn_revenue', 'ds__month'] + SELECT + subq_2.ds__month + , subq_2.txn_revenue + FROM ( + -- Constrain Time Range to [2000-01-01T00:00:00, 2020-01-01T00:00:00] + SELECT + subq_1.ds__day + , subq_1.ds__week + , subq_1.ds__month + , subq_1.ds__quarter + , subq_1.ds__year + , subq_1.ds__extract_year + , subq_1.ds__extract_quarter + , subq_1.ds__extract_month + , subq_1.ds__extract_day + , subq_1.ds__extract_dow + , subq_1.ds__extract_doy + , subq_1.company__ds__day + , subq_1.company__ds__week + , subq_1.company__ds__month + , subq_1.company__ds__quarter + , subq_1.company__ds__year + , subq_1.company__ds__extract_year + , subq_1.company__ds__extract_quarter + , subq_1.company__ds__extract_month + , subq_1.company__ds__extract_day + , subq_1.company__ds__extract_dow + , subq_1.company__ds__extract_doy + , subq_1.metric_time__day + , subq_1.metric_time__week + , subq_1.metric_time__month + , subq_1.metric_time__quarter + , subq_1.metric_time__year + , subq_1.metric_time__extract_year + , subq_1.metric_time__extract_quarter + , subq_1.metric_time__extract_month + , subq_1.metric_time__extract_day + , subq_1.metric_time__extract_dow + , subq_1.metric_time__extract_doy + , subq_1.user + , subq_1.company__user + , subq_1.txn_revenue + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.company__ds__day + , subq_0.company__ds__week + , subq_0.company__ds__month + , subq_0.company__ds__quarter + , subq_0.company__ds__year + , subq_0.company__ds__extract_year + , subq_0.company__ds__extract_quarter + , subq_0.company__ds__extract_month + , subq_0.company__ds__extract_day + , subq_0.company__ds__extract_dow + , subq_0.company__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.company__user + , subq_0.txn_revenue + FROM ( + -- Read Elements From Semantic Model 'revenue' + SELECT + revenue_src_10007.revenue AS txn_revenue + , DATE_TRUNC('day', revenue_src_10007.created_at) AS ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS ds__extract_doy + , DATE_TRUNC('day', revenue_src_10007.created_at) AS company__ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS company__ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS company__ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS company__ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS company__ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS company__ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS company__ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS company__ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS company__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS company__ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS company__ds__extract_doy + , revenue_src_10007.user_id AS user + , revenue_src_10007.user_id AS company__user + FROM ***************************.fct_revenue revenue_src_10007 + ) subq_0 + ) subq_1 + WHERE subq_1.metric_time__day BETWEEN timestamp '2000-01-01' AND timestamp '2020-01-01' + ) subq_2 + ) subq_3 + GROUP BY + subq_3.ds__month +) subq_4 diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window_with_time_constraint__plan0_optimized.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window_with_time_constraint__plan0_optimized.sql new file mode 100644 index 0000000000..2553df7dec --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_no_window_with_time_constraint__plan0_optimized.sql @@ -0,0 +1,14 @@ +-- Read Elements From Semantic Model 'revenue' +-- Metric Time Dimension 'ds' +-- Constrain Time Range to [2000-01-01T00:00:00, 2020-01-01T00:00:00] +-- Pass Only Elements: +-- ['txn_revenue', 'ds__month'] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + DATE_TRUNC('month', created_at) AS ds__month + , SUM(revenue) AS revenue_all_time +FROM ***************************.fct_revenue revenue_src_10007 +WHERE DATE_TRUNC('day', created_at) BETWEEN timestamp '2000-01-01' AND timestamp '2020-01-01' +GROUP BY + DATE_TRUNC('month', created_at) diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_non_adjustable_time_filter__plan0.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_non_adjustable_time_filter__plan0.sql new file mode 100644 index 0000000000..28bc3ef177 --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_non_adjustable_time_filter__plan0.sql @@ -0,0 +1,335 @@ +-- Compute Metrics via Expressions +SELECT + subq_7.metric_time__day + , subq_7.bookers AS every_two_days_bookers +FROM ( + -- Aggregate Measures + SELECT + subq_6.metric_time__day + , COUNT(DISTINCT subq_6.bookers) AS bookers + FROM ( + -- Constrain Output with WHERE + SELECT + subq_5.metric_time__day + , subq_5.bookers + FROM ( + -- Pass Only Elements: + -- ['bookers', 'metric_time__day'] + SELECT + subq_4.metric_time__day + , subq_4.bookers + FROM ( + -- Join Self Over Time Range + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + ( + subq_1.metric_time__day <= subq_2.metric_time__day + ) AND ( + subq_1.metric_time__day > DATE_ADD('day', -2, subq_2.metric_time__day) + ) + ) subq_4 + ) subq_5 + WHERE metric_time__day = '2020-01-03' or metric_time__day = '2020-01-07' + ) subq_6 + GROUP BY + subq_6.metric_time__day +) subq_7 diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_non_adjustable_time_filter__plan0_optimized.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_non_adjustable_time_filter__plan0_optimized.sql new file mode 100644 index 0000000000..3e52c58c9f --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_non_adjustable_time_filter__plan0_optimized.sql @@ -0,0 +1,26 @@ +-- Constrain Output with WHERE +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + metric_time__day + , COUNT(DISTINCT bookers) AS every_two_days_bookers +FROM ( + -- Join Self Over Time Range + -- Pass Only Elements: + -- ['bookers', 'metric_time__day'] + SELECT + subq_11.ds AS metric_time__day + , bookings_source_src_10001.guest_id AS bookers + FROM ***************************.mf_time_spine subq_11 + INNER JOIN + ***************************.fct_bookings bookings_source_src_10001 + ON + ( + DATE_TRUNC('day', bookings_source_src_10001.ds) <= subq_11.ds + ) AND ( + DATE_TRUNC('day', bookings_source_src_10001.ds) > DATE_ADD('day', -2, subq_11.ds) + ) +) subq_13 +WHERE metric_time__day = '2020-01-03' or metric_time__day = '2020-01-07' +GROUP BY + metric_time__day diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_time_constraint__plan0.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_time_constraint__plan0.sql new file mode 100644 index 0000000000..db1370b7a0 --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_time_constraint__plan0.sql @@ -0,0 +1,190 @@ +-- Compute Metrics via Expressions +SELECT + subq_8.metric_time__month + , subq_8.txn_revenue AS trailing_2_months_revenue +FROM ( + -- Aggregate Measures + SELECT + subq_7.metric_time__month + , SUM(subq_7.txn_revenue) AS txn_revenue + FROM ( + -- Constrain Time Range to [2020-01-01T00:00:00, 2020-01-01T00:00:00] + SELECT + subq_6.metric_time__month + , subq_6.txn_revenue + FROM ( + -- Pass Only Elements: + -- ['txn_revenue', 'metric_time__month'] + SELECT + subq_5.metric_time__month + , subq_5.txn_revenue + FROM ( + -- Join Self Over Time Range + SELECT + subq_3.metric_time__day AS metric_time__day + , subq_2.ds__day AS ds__day + , subq_2.ds__week AS ds__week + , subq_2.ds__month AS ds__month + , subq_2.ds__quarter AS ds__quarter + , subq_2.ds__year AS ds__year + , subq_2.ds__extract_year AS ds__extract_year + , subq_2.ds__extract_quarter AS ds__extract_quarter + , subq_2.ds__extract_month AS ds__extract_month + , subq_2.ds__extract_day AS ds__extract_day + , subq_2.ds__extract_dow AS ds__extract_dow + , subq_2.ds__extract_doy AS ds__extract_doy + , subq_2.company__ds__day AS company__ds__day + , subq_2.company__ds__week AS company__ds__week + , subq_2.company__ds__month AS company__ds__month + , subq_2.company__ds__quarter AS company__ds__quarter + , subq_2.company__ds__year AS company__ds__year + , subq_2.company__ds__extract_year AS company__ds__extract_year + , subq_2.company__ds__extract_quarter AS company__ds__extract_quarter + , subq_2.company__ds__extract_month AS company__ds__extract_month + , subq_2.company__ds__extract_day AS company__ds__extract_day + , subq_2.company__ds__extract_dow AS company__ds__extract_dow + , subq_2.company__ds__extract_doy AS company__ds__extract_doy + , subq_2.metric_time__week AS metric_time__week + , subq_2.metric_time__month AS metric_time__month + , subq_2.metric_time__quarter AS metric_time__quarter + , subq_2.metric_time__year AS metric_time__year + , subq_2.metric_time__extract_year AS metric_time__extract_year + , subq_2.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_2.metric_time__extract_month AS metric_time__extract_month + , subq_2.metric_time__extract_day AS metric_time__extract_day + , subq_2.metric_time__extract_dow AS metric_time__extract_dow + , subq_2.metric_time__extract_doy AS metric_time__extract_doy + , subq_2.user AS user + , subq_2.company__user AS company__user + , subq_2.txn_revenue AS txn_revenue + FROM ( + -- Date Spine + SELECT + subq_4.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_4 + WHERE subq_4.ds BETWEEN timestamp '2020-01-01' AND timestamp '2020-01-01' + ) subq_3 + INNER JOIN ( + -- Constrain Time Range to [2019-11-01T00:00:00, 2020-01-01T00:00:00] + SELECT + subq_1.ds__day + , subq_1.ds__week + , subq_1.ds__month + , subq_1.ds__quarter + , subq_1.ds__year + , subq_1.ds__extract_year + , subq_1.ds__extract_quarter + , subq_1.ds__extract_month + , subq_1.ds__extract_day + , subq_1.ds__extract_dow + , subq_1.ds__extract_doy + , subq_1.company__ds__day + , subq_1.company__ds__week + , subq_1.company__ds__month + , subq_1.company__ds__quarter + , subq_1.company__ds__year + , subq_1.company__ds__extract_year + , subq_1.company__ds__extract_quarter + , subq_1.company__ds__extract_month + , subq_1.company__ds__extract_day + , subq_1.company__ds__extract_dow + , subq_1.company__ds__extract_doy + , subq_1.metric_time__day + , subq_1.metric_time__week + , subq_1.metric_time__month + , subq_1.metric_time__quarter + , subq_1.metric_time__year + , subq_1.metric_time__extract_year + , subq_1.metric_time__extract_quarter + , subq_1.metric_time__extract_month + , subq_1.metric_time__extract_day + , subq_1.metric_time__extract_dow + , subq_1.metric_time__extract_doy + , subq_1.user + , subq_1.company__user + , subq_1.txn_revenue + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.company__ds__day + , subq_0.company__ds__week + , subq_0.company__ds__month + , subq_0.company__ds__quarter + , subq_0.company__ds__year + , subq_0.company__ds__extract_year + , subq_0.company__ds__extract_quarter + , subq_0.company__ds__extract_month + , subq_0.company__ds__extract_day + , subq_0.company__ds__extract_dow + , subq_0.company__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.user + , subq_0.company__user + , subq_0.txn_revenue + FROM ( + -- Read Elements From Semantic Model 'revenue' + SELECT + revenue_src_10007.revenue AS txn_revenue + , DATE_TRUNC('day', revenue_src_10007.created_at) AS ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS ds__extract_doy + , DATE_TRUNC('day', revenue_src_10007.created_at) AS company__ds__day + , DATE_TRUNC('week', revenue_src_10007.created_at) AS company__ds__week + , DATE_TRUNC('month', revenue_src_10007.created_at) AS company__ds__month + , DATE_TRUNC('quarter', revenue_src_10007.created_at) AS company__ds__quarter + , DATE_TRUNC('year', revenue_src_10007.created_at) AS company__ds__year + , EXTRACT(year FROM revenue_src_10007.created_at) AS company__ds__extract_year + , EXTRACT(quarter FROM revenue_src_10007.created_at) AS company__ds__extract_quarter + , EXTRACT(month FROM revenue_src_10007.created_at) AS company__ds__extract_month + , EXTRACT(day FROM revenue_src_10007.created_at) AS company__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM revenue_src_10007.created_at) AS company__ds__extract_dow + , EXTRACT(doy FROM revenue_src_10007.created_at) AS company__ds__extract_doy + , revenue_src_10007.user_id AS user + , revenue_src_10007.user_id AS company__user + FROM ***************************.fct_revenue revenue_src_10007 + ) subq_0 + ) subq_1 + WHERE subq_1.metric_time__day BETWEEN timestamp '2019-11-01' AND timestamp '2020-01-01' + ) subq_2 + ON + ( + subq_2.metric_time__day <= subq_3.metric_time__day + ) AND ( + subq_2.metric_time__day > DATE_ADD('month', -2, subq_3.metric_time__day) + ) + ) subq_5 + ) subq_6 + WHERE subq_6.metric_time__month BETWEEN timestamp '2020-01-01' AND timestamp '2020-01-01' + ) subq_7 + GROUP BY + subq_7.metric_time__month +) subq_8 diff --git a/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_time_constraint__plan0_optimized.sql b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_time_constraint__plan0_optimized.sql new file mode 100644 index 0000000000..07569fc878 --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_metric_with_time_constraint__plan0_optimized.sql @@ -0,0 +1,36 @@ +-- Join Self Over Time Range +-- Pass Only Elements: +-- ['txn_revenue', 'metric_time__month'] +-- Constrain Time Range to [2020-01-01T00:00:00, 2020-01-01T00:00:00] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + subq_11.metric_time__month AS metric_time__month + , SUM(subq_11.txn_revenue) AS trailing_2_months_revenue +FROM ( + -- Date Spine + SELECT + ds AS metric_time__day + FROM ***************************.mf_time_spine subq_13 + WHERE ds BETWEEN timestamp '2020-01-01' AND timestamp '2020-01-01' +) subq_12 +INNER JOIN ( + -- Read Elements From Semantic Model 'revenue' + -- Metric Time Dimension 'ds' + -- Constrain Time Range to [2019-11-01T00:00:00, 2020-01-01T00:00:00] + SELECT + DATE_TRUNC('day', created_at) AS metric_time__day + , DATE_TRUNC('month', created_at) AS metric_time__month + , revenue AS txn_revenue + FROM ***************************.fct_revenue revenue_src_10007 + WHERE DATE_TRUNC('day', created_at) BETWEEN timestamp '2019-11-01' AND timestamp '2020-01-01' +) subq_11 +ON + ( + subq_11.metric_time__day <= subq_12.metric_time__day + ) AND ( + subq_11.metric_time__day > DATE_ADD('month', -2, subq_12.metric_time__day) + ) +WHERE subq_11.metric_time__month BETWEEN timestamp '2020-01-01' AND timestamp '2020-01-01' +GROUP BY + subq_11.metric_time__month diff --git a/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_cumulative_metric_with_non_adjustable_filter__query_output.txt b/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_cumulative_metric_with_non_adjustable_filter__query_output.txt new file mode 100644 index 0000000000..a6e99f543d --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_cumulative_metric_with_non_adjustable_filter__query_output.txt @@ -0,0 +1,3 @@ + metric_time__day trailing_2_months_revenue +0 2020-03-15 7000 +1 2020-04-30 7000 diff --git a/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_grain_to_date_cumulative_metric__query_output.txt b/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_grain_to_date_cumulative_metric__query_output.txt new file mode 100644 index 0000000000..737fe3f4ca --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_grain_to_date_cumulative_metric__query_output.txt @@ -0,0 +1,5 @@ + metric_time__day revenue_mtd +0 2021-01-03 3000 +1 2021-01-04 4000 +2 2021-01-05 4000 +3 2021-01-06 4000 diff --git a/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_multiple_cumulative_metrics__query_output.txt b/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_multiple_cumulative_metrics__query_output.txt new file mode 100644 index 0000000000..00ddadd8bd --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_multiple_cumulative_metrics__query_output.txt @@ -0,0 +1,63 @@ + metric_time__day revenue_all_time trailing_2_months_revenue +0 2020-03-31 8000 7000 +1 2020-04-01 8000 3000 +2 2020-04-02 12000 7000 +3 2020-04-03 12000 7000 +4 2020-04-04 12000 7000 +5 2020-04-05 12000 7000 +6 2020-04-06 12000 7000 +7 2020-04-07 12000 7000 +8 2020-04-08 12000 7000 +9 2020-04-09 12000 7000 +10 2020-04-10 12000 7000 +11 2020-04-11 12000 7000 +12 2020-04-12 12000 7000 +13 2020-04-13 12000 7000 +14 2020-04-14 12000 7000 +15 2020-04-15 12000 7000 +16 2020-04-16 12000 7000 +17 2020-04-17 12000 7000 +18 2020-04-18 12000 7000 +19 2020-04-19 12000 7000 +20 2020-04-20 12000 7000 +21 2020-04-21 12000 7000 +22 2020-04-22 12000 7000 +23 2020-04-23 12000 7000 +24 2020-04-24 12000 7000 +25 2020-04-25 12000 7000 +26 2020-04-26 12000 7000 +27 2020-04-27 12000 7000 +28 2020-04-28 12000 7000 +29 2020-04-29 12000 7000 +30 2020-04-30 12000 7000 +31 2020-05-01 12000 4000 +32 2020-05-02 12000 4000 +33 2020-05-03 12000 4000 +34 2020-05-04 12000 4000 +35 2020-05-05 12000 4000 +36 2020-05-06 12000 4000 +37 2020-05-07 12000 4000 +38 2020-05-08 12000 4000 +39 2020-05-09 12000 4000 +40 2020-05-10 12000 4000 +41 2020-05-11 12000 4000 +42 2020-05-12 12000 4000 +43 2020-05-13 12000 4000 +44 2020-05-14 12000 4000 +45 2020-05-15 12000 4000 +46 2020-05-16 12000 4000 +47 2020-05-17 12000 4000 +48 2020-05-18 12000 4000 +49 2020-05-19 12000 4000 +50 2020-05-20 12000 4000 +51 2020-05-21 12000 4000 +52 2020-05-22 12000 4000 +53 2020-05-23 12000 4000 +54 2020-05-24 12000 4000 +55 2020-05-25 12000 4000 +56 2020-05-26 12000 4000 +57 2020-05-27 12000 4000 +58 2020-05-28 12000 4000 +59 2020-05-29 12000 4000 +60 2020-05-30 12000 4000 +61 2020-05-31 12000 4000 diff --git a/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_non_additive_cumulative_metric__query_output.txt b/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_non_additive_cumulative_metric__query_output.txt new file mode 100644 index 0000000000..9875015274 --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_non_additive_cumulative_metric__query_output.txt @@ -0,0 +1,4 @@ + metric_time__day every_two_days_bookers +0 2020-01-01 3 +1 2020-01-02 6 +2 2020-01-03 4 diff --git a/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_simple_cumulative_metric__query_output.txt b/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_simple_cumulative_metric__query_output.txt new file mode 100644 index 0000000000..57564e85eb --- /dev/null +++ b/metricflow/test/snapshots/test_cumulative_metrics.py/str/Trino/test_simple_cumulative_metric__query_output.txt @@ -0,0 +1,91 @@ + metric_time__day trailing_2_months_revenue +0 2020-02-01 5000 +1 2020-02-02 5000 +2 2020-02-03 5000 +3 2020-02-04 5000 +4 2020-02-05 5000 +5 2020-02-06 5000 +6 2020-02-07 5000 +7 2020-02-08 5000 +8 2020-02-09 5000 +9 2020-02-10 5000 +10 2020-02-11 5000 +11 2020-02-12 5000 +12 2020-02-13 5000 +13 2020-02-14 5000 +14 2020-02-15 5000 +15 2020-02-16 5000 +16 2020-02-17 5000 +17 2020-02-18 5000 +18 2020-02-19 5000 +19 2020-02-20 5000 +20 2020-02-21 5000 +21 2020-02-22 5000 +22 2020-02-23 5000 +23 2020-02-24 5000 +24 2020-02-25 5000 +25 2020-02-26 5000 +26 2020-02-27 5000 +27 2020-02-28 5000 +28 2020-02-29 5000 +29 2020-03-01 7000 +30 2020-03-02 7000 +31 2020-03-03 7000 +32 2020-03-04 7000 +33 2020-03-05 7000 +34 2020-03-06 7000 +35 2020-03-07 7000 +36 2020-03-08 7000 +37 2020-03-09 7000 +38 2020-03-10 7000 +39 2020-03-11 7000 +40 2020-03-12 7000 +41 2020-03-13 7000 +42 2020-03-14 7000 +43 2020-03-15 7000 +44 2020-03-16 7000 +45 2020-03-17 7000 +46 2020-03-18 7000 +47 2020-03-19 7000 +48 2020-03-20 7000 +49 2020-03-21 7000 +50 2020-03-22 7000 +51 2020-03-23 7000 +52 2020-03-24 7000 +53 2020-03-25 7000 +54 2020-03-26 7000 +55 2020-03-27 7000 +56 2020-03-28 7000 +57 2020-03-29 7000 +58 2020-03-30 7000 +59 2020-03-31 7000 +60 2020-04-01 3000 +61 2020-04-02 7000 +62 2020-04-03 7000 +63 2020-04-04 7000 +64 2020-04-05 7000 +65 2020-04-06 7000 +66 2020-04-07 7000 +67 2020-04-08 7000 +68 2020-04-09 7000 +69 2020-04-10 7000 +70 2020-04-11 7000 +71 2020-04-12 7000 +72 2020-04-13 7000 +73 2020-04-14 7000 +74 2020-04-15 7000 +75 2020-04-16 7000 +76 2020-04-17 7000 +77 2020-04-18 7000 +78 2020-04-19 7000 +79 2020-04-20 7000 +80 2020-04-21 7000 +81 2020-04-22 7000 +82 2020-04-23 7000 +83 2020-04-24 7000 +84 2020-04-25 7000 +85 2020-04-26 7000 +86 2020-04-27 7000 +87 2020-04-28 7000 +88 2020-04-29 7000 +89 2020-04-30 7000 diff --git a/metricflow/test/snapshots/test_data_warehouse_tasks.py/data_warehouse_validation_manifest/Trino/test_build_metric_tasks__query0.sql b/metricflow/test/snapshots/test_data_warehouse_tasks.py/data_warehouse_validation_manifest/Trino/test_build_metric_tasks__query0.sql new file mode 100644 index 0000000000..a8484a1d11 --- /dev/null +++ b/metricflow/test/snapshots/test_data_warehouse_tasks.py/data_warehouse_validation_manifest/Trino/test_build_metric_tasks__query0.sql @@ -0,0 +1,17 @@ +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + metric_time__day + , SUM(count_dogs) AS count_dogs +FROM ( + -- Read Elements From Semantic Model 'animals' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['count_dogs', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS count_dogs + FROM ***************************.fct_animals animals_src_0 +) subq_2 +GROUP BY + metric_time__day diff --git a/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_combined_metrics_plan__ep_0.xml b/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_combined_metrics_plan__ep_0.xml new file mode 100644 index 0000000000..bdab0b0d91 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_combined_metrics_plan__ep_0.xml @@ -0,0 +1,89 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_joined_plan__ep_0.xml b/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_joined_plan__ep_0.xml new file mode 100644 index 0000000000..e224019fce --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_joined_plan__ep_0.xml @@ -0,0 +1,34 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_multihop_joined_plan__ep_0.xml b/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_multihop_joined_plan__ep_0.xml new file mode 100644 index 0000000000..c5d17a25a0 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_multihop_joined_plan__ep_0.xml @@ -0,0 +1,42 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_small_combined_metrics_plan__ep_0.xml b/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_small_combined_metrics_plan__ep_0.xml new file mode 100644 index 0000000000..57ca2f3d3c --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_execution.py/ExecutionPlan/Trino/test_small_combined_metrics_plan__ep_0.xml @@ -0,0 +1,49 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_combine_output_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_combine_output_node__plan0.sql new file mode 100644 index 0000000000..e0fa9b4f05 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_combine_output_node__plan0.sql @@ -0,0 +1,228 @@ +-- Combine Aggregated Outputs +SELECT + COALESCE(subq_2.is_instant, subq_5.is_instant) AS is_instant + , MAX(subq_2.bookings) AS bookings + , COALESCE(MAX(subq_5.instant_bookings), 1) AS instant_bookings + , COALESCE(MAX(subq_5.bookers), 1) AS bookers +FROM ( + -- Aggregate Measures + SELECT + subq_1.is_instant + , SUM(subq_1.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'is_instant'] + SELECT + subq_0.is_instant + , subq_0.bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + GROUP BY + subq_1.is_instant +) subq_2 +FULL OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.is_instant + , SUM(subq_4.instant_bookings) AS instant_bookings + , COUNT(DISTINCT subq_4.bookers) AS bookers + FROM ( + -- Pass Only Elements: + -- ['instant_bookings', 'bookers', 'is_instant'] + SELECT + subq_3.is_instant + , subq_3.instant_bookings + , subq_3.bookers + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_3 + ) subq_4 + GROUP BY + subq_4.is_instant +) subq_5 +ON + subq_2.is_instant = subq_5.is_instant +GROUP BY + COALESCE(subq_2.is_instant, subq_5.is_instant) diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_combine_output_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_combine_output_node__plan0_optimized.sql new file mode 100644 index 0000000000..62340aabcb --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_combine_output_node__plan0_optimized.sql @@ -0,0 +1,46 @@ +-- Combine Aggregated Outputs +SELECT + COALESCE(subq_8.is_instant, subq_11.is_instant) AS is_instant + , MAX(subq_8.bookings) AS bookings + , COALESCE(MAX(subq_11.instant_bookings), 1) AS instant_bookings + , COALESCE(MAX(subq_11.bookers), 1) AS bookers +FROM ( + -- Aggregate Measures + SELECT + is_instant + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Pass Only Elements: + -- ['bookings', 'is_instant'] + SELECT + is_instant + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_7 + GROUP BY + is_instant +) subq_8 +FULL OUTER JOIN ( + -- Aggregate Measures + SELECT + is_instant + , SUM(instant_bookings) AS instant_bookings + , COUNT(DISTINCT bookers) AS bookers + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Pass Only Elements: + -- ['instant_bookings', 'bookers', 'is_instant'] + SELECT + is_instant + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , guest_id AS bookers + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_10 + GROUP BY + is_instant +) subq_11 +ON + subq_8.is_instant = subq_11.is_instant +GROUP BY + COALESCE(subq_8.is_instant, subq_11.is_instant) diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node__plan0.sql new file mode 100644 index 0000000000..8cd1791e75 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node__plan0.sql @@ -0,0 +1,192 @@ +-- Compute Metrics via Expressions +SELECT + subq_5.listing + , subq_5.listing__country_latest + , subq_5.bookings +FROM ( + -- Aggregate Measures + SELECT + subq_4.listing + , subq_4.listing__country_latest + , SUM(subq_4.bookings) AS bookings + FROM ( + -- Join Standard Outputs + SELECT + subq_1.listing AS listing + , subq_3.country_latest AS listing__country_latest + , subq_1.bookings AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'listing'] + SELECT + subq_0.listing + , subq_0.bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['country_latest', 'listing'] + SELECT + subq_2.listing + , subq_2.country_latest + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_2 + ) subq_3 + ON + subq_1.listing = subq_3.listing + ) subq_4 + GROUP BY + subq_4.listing + , subq_4.listing__country_latest +) subq_5 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node__plan0_optimized.sql new file mode 100644 index 0000000000..9e5210f489 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node__plan0_optimized.sql @@ -0,0 +1,23 @@ +-- Join Standard Outputs +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + subq_7.listing AS listing + , listings_latest_src_10005.country AS listing__country_latest + , SUM(subq_7.bookings) AS bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Pass Only Elements: + -- ['bookings', 'listing'] + SELECT + listing_id AS listing + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_7 +LEFT OUTER JOIN + ***************************.dim_listings_latest listings_latest_src_10005 +ON + subq_7.listing = listings_latest_src_10005.listing_id +GROUP BY + subq_7.listing + , listings_latest_src_10005.country diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_multiple_semantic_models__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_multiple_semantic_models__plan0.sql new file mode 100644 index 0000000000..a2b37da09b --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_multiple_semantic_models__plan0.sql @@ -0,0 +1,699 @@ +-- Compute Metrics via Expressions +SELECT + subq_20.ds__day + , subq_20.listing__country_latest + , CAST(subq_20.bookings AS DOUBLE) / CAST(NULLIF(subq_20.views, 0) AS DOUBLE) AS bookings_per_view +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_9.ds__day, subq_19.ds__day) AS ds__day + , COALESCE(subq_9.listing__country_latest, subq_19.listing__country_latest) AS listing__country_latest + , MAX(subq_9.bookings) AS bookings + , MAX(subq_19.views) AS views + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_8.ds__day + , subq_8.listing__country_latest + , subq_8.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_7.ds__day + , subq_7.listing__country_latest + , SUM(subq_7.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'listing__country_latest', 'ds__day'] + SELECT + subq_6.ds__day + , subq_6.listing__country_latest + , subq_6.bookings + FROM ( + -- Join Standard Outputs + SELECT + subq_2.ds__day AS ds__day + , subq_2.listing AS listing + , subq_5.country_latest AS listing__country_latest + , subq_2.bookings AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'ds__day', 'listing'] + SELECT + subq_1.ds__day + , subq_1.listing + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['country_latest', 'listing'] + SELECT + subq_4.listing + , subq_4.country_latest + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_3.ds__day + , subq_3.ds__week + , subq_3.ds__month + , subq_3.ds__quarter + , subq_3.ds__year + , subq_3.ds__extract_year + , subq_3.ds__extract_quarter + , subq_3.ds__extract_month + , subq_3.ds__extract_day + , subq_3.ds__extract_dow + , subq_3.ds__extract_doy + , subq_3.created_at__day + , subq_3.created_at__week + , subq_3.created_at__month + , subq_3.created_at__quarter + , subq_3.created_at__year + , subq_3.created_at__extract_year + , subq_3.created_at__extract_quarter + , subq_3.created_at__extract_month + , subq_3.created_at__extract_day + , subq_3.created_at__extract_dow + , subq_3.created_at__extract_doy + , subq_3.listing__ds__day + , subq_3.listing__ds__week + , subq_3.listing__ds__month + , subq_3.listing__ds__quarter + , subq_3.listing__ds__year + , subq_3.listing__ds__extract_year + , subq_3.listing__ds__extract_quarter + , subq_3.listing__ds__extract_month + , subq_3.listing__ds__extract_day + , subq_3.listing__ds__extract_dow + , subq_3.listing__ds__extract_doy + , subq_3.listing__created_at__day + , subq_3.listing__created_at__week + , subq_3.listing__created_at__month + , subq_3.listing__created_at__quarter + , subq_3.listing__created_at__year + , subq_3.listing__created_at__extract_year + , subq_3.listing__created_at__extract_quarter + , subq_3.listing__created_at__extract_month + , subq_3.listing__created_at__extract_day + , subq_3.listing__created_at__extract_dow + , subq_3.listing__created_at__extract_doy + , subq_3.ds__day AS metric_time__day + , subq_3.ds__week AS metric_time__week + , subq_3.ds__month AS metric_time__month + , subq_3.ds__quarter AS metric_time__quarter + , subq_3.ds__year AS metric_time__year + , subq_3.ds__extract_year AS metric_time__extract_year + , subq_3.ds__extract_quarter AS metric_time__extract_quarter + , subq_3.ds__extract_month AS metric_time__extract_month + , subq_3.ds__extract_day AS metric_time__extract_day + , subq_3.ds__extract_dow AS metric_time__extract_dow + , subq_3.ds__extract_doy AS metric_time__extract_doy + , subq_3.listing + , subq_3.user + , subq_3.listing__user + , subq_3.country_latest + , subq_3.is_lux_latest + , subq_3.capacity_latest + , subq_3.listing__country_latest + , subq_3.listing__is_lux_latest + , subq_3.listing__capacity_latest + , subq_3.listings + , subq_3.largest_listing + , subq_3.smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_3 + ) subq_4 + ) subq_5 + ON + subq_2.listing = subq_5.listing + ) subq_6 + ) subq_7 + GROUP BY + subq_7.ds__day + , subq_7.listing__country_latest + ) subq_8 + ) subq_9 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_18.ds__day + , subq_18.listing__country_latest + , subq_18.views + FROM ( + -- Aggregate Measures + SELECT + subq_17.ds__day + , subq_17.listing__country_latest + , SUM(subq_17.views) AS views + FROM ( + -- Pass Only Elements: + -- ['views', 'listing__country_latest', 'ds__day'] + SELECT + subq_16.ds__day + , subq_16.listing__country_latest + , subq_16.views + FROM ( + -- Join Standard Outputs + SELECT + subq_12.ds__day AS ds__day + , subq_12.listing AS listing + , subq_15.country_latest AS listing__country_latest + , subq_12.views AS views + FROM ( + -- Pass Only Elements: + -- ['views', 'ds__day', 'listing'] + SELECT + subq_11.ds__day + , subq_11.listing + , subq_11.views + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_10.ds__day + , subq_10.ds__week + , subq_10.ds__month + , subq_10.ds__quarter + , subq_10.ds__year + , subq_10.ds__extract_year + , subq_10.ds__extract_quarter + , subq_10.ds__extract_month + , subq_10.ds__extract_day + , subq_10.ds__extract_dow + , subq_10.ds__extract_doy + , subq_10.ds_partitioned__day + , subq_10.ds_partitioned__week + , subq_10.ds_partitioned__month + , subq_10.ds_partitioned__quarter + , subq_10.ds_partitioned__year + , subq_10.ds_partitioned__extract_year + , subq_10.ds_partitioned__extract_quarter + , subq_10.ds_partitioned__extract_month + , subq_10.ds_partitioned__extract_day + , subq_10.ds_partitioned__extract_dow + , subq_10.ds_partitioned__extract_doy + , subq_10.view__ds__day + , subq_10.view__ds__week + , subq_10.view__ds__month + , subq_10.view__ds__quarter + , subq_10.view__ds__year + , subq_10.view__ds__extract_year + , subq_10.view__ds__extract_quarter + , subq_10.view__ds__extract_month + , subq_10.view__ds__extract_day + , subq_10.view__ds__extract_dow + , subq_10.view__ds__extract_doy + , subq_10.view__ds_partitioned__day + , subq_10.view__ds_partitioned__week + , subq_10.view__ds_partitioned__month + , subq_10.view__ds_partitioned__quarter + , subq_10.view__ds_partitioned__year + , subq_10.view__ds_partitioned__extract_year + , subq_10.view__ds_partitioned__extract_quarter + , subq_10.view__ds_partitioned__extract_month + , subq_10.view__ds_partitioned__extract_day + , subq_10.view__ds_partitioned__extract_dow + , subq_10.view__ds_partitioned__extract_doy + , subq_10.ds__day AS metric_time__day + , subq_10.ds__week AS metric_time__week + , subq_10.ds__month AS metric_time__month + , subq_10.ds__quarter AS metric_time__quarter + , subq_10.ds__year AS metric_time__year + , subq_10.ds__extract_year AS metric_time__extract_year + , subq_10.ds__extract_quarter AS metric_time__extract_quarter + , subq_10.ds__extract_month AS metric_time__extract_month + , subq_10.ds__extract_day AS metric_time__extract_day + , subq_10.ds__extract_dow AS metric_time__extract_dow + , subq_10.ds__extract_doy AS metric_time__extract_doy + , subq_10.listing + , subq_10.user + , subq_10.view__listing + , subq_10.view__user + , subq_10.views + FROM ( + -- Read Elements From Semantic Model 'views_source' + SELECT + 1 AS views + , DATE_TRUNC('day', views_source_src_10010.ds) AS ds__day + , DATE_TRUNC('week', views_source_src_10010.ds) AS ds__week + , DATE_TRUNC('month', views_source_src_10010.ds) AS ds__month + , DATE_TRUNC('quarter', views_source_src_10010.ds) AS ds__quarter + , DATE_TRUNC('year', views_source_src_10010.ds) AS ds__year + , EXTRACT(year FROM views_source_src_10010.ds) AS ds__extract_year + , EXTRACT(quarter FROM views_source_src_10010.ds) AS ds__extract_quarter + , EXTRACT(month FROM views_source_src_10010.ds) AS ds__extract_month + , EXTRACT(day FROM views_source_src_10010.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM views_source_src_10010.ds) AS ds__extract_dow + , EXTRACT(doy FROM views_source_src_10010.ds) AS ds__extract_doy + , DATE_TRUNC('day', views_source_src_10010.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', views_source_src_10010.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', views_source_src_10010.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', views_source_src_10010.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', views_source_src_10010.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM views_source_src_10010.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM views_source_src_10010.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM views_source_src_10010.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM views_source_src_10010.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM views_source_src_10010.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM views_source_src_10010.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', views_source_src_10010.ds) AS view__ds__day + , DATE_TRUNC('week', views_source_src_10010.ds) AS view__ds__week + , DATE_TRUNC('month', views_source_src_10010.ds) AS view__ds__month + , DATE_TRUNC('quarter', views_source_src_10010.ds) AS view__ds__quarter + , DATE_TRUNC('year', views_source_src_10010.ds) AS view__ds__year + , EXTRACT(year FROM views_source_src_10010.ds) AS view__ds__extract_year + , EXTRACT(quarter FROM views_source_src_10010.ds) AS view__ds__extract_quarter + , EXTRACT(month FROM views_source_src_10010.ds) AS view__ds__extract_month + , EXTRACT(day FROM views_source_src_10010.ds) AS view__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM views_source_src_10010.ds) AS view__ds__extract_dow + , EXTRACT(doy FROM views_source_src_10010.ds) AS view__ds__extract_doy + , DATE_TRUNC('day', views_source_src_10010.ds_partitioned) AS view__ds_partitioned__day + , DATE_TRUNC('week', views_source_src_10010.ds_partitioned) AS view__ds_partitioned__week + , DATE_TRUNC('month', views_source_src_10010.ds_partitioned) AS view__ds_partitioned__month + , DATE_TRUNC('quarter', views_source_src_10010.ds_partitioned) AS view__ds_partitioned__quarter + , DATE_TRUNC('year', views_source_src_10010.ds_partitioned) AS view__ds_partitioned__year + , EXTRACT(year FROM views_source_src_10010.ds_partitioned) AS view__ds_partitioned__extract_year + , EXTRACT(quarter FROM views_source_src_10010.ds_partitioned) AS view__ds_partitioned__extract_quarter + , EXTRACT(month FROM views_source_src_10010.ds_partitioned) AS view__ds_partitioned__extract_month + , EXTRACT(day FROM views_source_src_10010.ds_partitioned) AS view__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM views_source_src_10010.ds_partitioned) AS view__ds_partitioned__extract_dow + , EXTRACT(doy FROM views_source_src_10010.ds_partitioned) AS view__ds_partitioned__extract_doy + , views_source_src_10010.listing_id AS listing + , views_source_src_10010.user_id AS user + , views_source_src_10010.listing_id AS view__listing + , views_source_src_10010.user_id AS view__user + FROM ***************************.fct_views views_source_src_10010 + ) subq_10 + ) subq_11 + ) subq_12 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['country_latest', 'listing'] + SELECT + subq_14.listing + , subq_14.country_latest + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_13.ds__day + , subq_13.ds__week + , subq_13.ds__month + , subq_13.ds__quarter + , subq_13.ds__year + , subq_13.ds__extract_year + , subq_13.ds__extract_quarter + , subq_13.ds__extract_month + , subq_13.ds__extract_day + , subq_13.ds__extract_dow + , subq_13.ds__extract_doy + , subq_13.created_at__day + , subq_13.created_at__week + , subq_13.created_at__month + , subq_13.created_at__quarter + , subq_13.created_at__year + , subq_13.created_at__extract_year + , subq_13.created_at__extract_quarter + , subq_13.created_at__extract_month + , subq_13.created_at__extract_day + , subq_13.created_at__extract_dow + , subq_13.created_at__extract_doy + , subq_13.listing__ds__day + , subq_13.listing__ds__week + , subq_13.listing__ds__month + , subq_13.listing__ds__quarter + , subq_13.listing__ds__year + , subq_13.listing__ds__extract_year + , subq_13.listing__ds__extract_quarter + , subq_13.listing__ds__extract_month + , subq_13.listing__ds__extract_day + , subq_13.listing__ds__extract_dow + , subq_13.listing__ds__extract_doy + , subq_13.listing__created_at__day + , subq_13.listing__created_at__week + , subq_13.listing__created_at__month + , subq_13.listing__created_at__quarter + , subq_13.listing__created_at__year + , subq_13.listing__created_at__extract_year + , subq_13.listing__created_at__extract_quarter + , subq_13.listing__created_at__extract_month + , subq_13.listing__created_at__extract_day + , subq_13.listing__created_at__extract_dow + , subq_13.listing__created_at__extract_doy + , subq_13.ds__day AS metric_time__day + , subq_13.ds__week AS metric_time__week + , subq_13.ds__month AS metric_time__month + , subq_13.ds__quarter AS metric_time__quarter + , subq_13.ds__year AS metric_time__year + , subq_13.ds__extract_year AS metric_time__extract_year + , subq_13.ds__extract_quarter AS metric_time__extract_quarter + , subq_13.ds__extract_month AS metric_time__extract_month + , subq_13.ds__extract_day AS metric_time__extract_day + , subq_13.ds__extract_dow AS metric_time__extract_dow + , subq_13.ds__extract_doy AS metric_time__extract_doy + , subq_13.listing + , subq_13.user + , subq_13.listing__user + , subq_13.country_latest + , subq_13.is_lux_latest + , subq_13.capacity_latest + , subq_13.listing__country_latest + , subq_13.listing__is_lux_latest + , subq_13.listing__capacity_latest + , subq_13.listings + , subq_13.largest_listing + , subq_13.smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_13 + ) subq_14 + ) subq_15 + ON + subq_12.listing = subq_15.listing + ) subq_16 + ) subq_17 + GROUP BY + subq_17.ds__day + , subq_17.listing__country_latest + ) subq_18 + ) subq_19 + ON + ( + subq_9.listing__country_latest = subq_19.listing__country_latest + ) AND ( + subq_9.ds__day = subq_19.ds__day + ) + GROUP BY + COALESCE(subq_9.ds__day, subq_19.ds__day) + , COALESCE(subq_9.listing__country_latest, subq_19.listing__country_latest) +) subq_20 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_multiple_semantic_models__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_multiple_semantic_models__plan0_optimized.sql new file mode 100644 index 0000000000..ee6adb1fd6 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_multiple_semantic_models__plan0_optimized.sql @@ -0,0 +1,80 @@ +-- Compute Metrics via Expressions +SELECT + ds__day + , listing__country_latest + , CAST(bookings AS DOUBLE) / CAST(NULLIF(views, 0) AS DOUBLE) AS bookings_per_view +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_30.ds__day, subq_40.ds__day) AS ds__day + , COALESCE(subq_30.listing__country_latest, subq_40.listing__country_latest) AS listing__country_latest + , MAX(subq_30.bookings) AS bookings + , MAX(subq_40.views) AS views + FROM ( + -- Join Standard Outputs + -- Pass Only Elements: + -- ['bookings', 'listing__country_latest', 'ds__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_23.ds__day AS ds__day + , listings_latest_src_10005.country AS listing__country_latest + , SUM(subq_23.bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'ds__day', 'listing'] + SELECT + DATE_TRUNC('day', ds) AS ds__day + , listing_id AS listing + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_23 + LEFT OUTER JOIN + ***************************.dim_listings_latest listings_latest_src_10005 + ON + subq_23.listing = listings_latest_src_10005.listing_id + GROUP BY + subq_23.ds__day + , listings_latest_src_10005.country + ) subq_30 + FULL OUTER JOIN ( + -- Join Standard Outputs + -- Pass Only Elements: + -- ['views', 'listing__country_latest', 'ds__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_33.ds__day AS ds__day + , listings_latest_src_10005.country AS listing__country_latest + , SUM(subq_33.views) AS views + FROM ( + -- Read Elements From Semantic Model 'views_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['views', 'ds__day', 'listing'] + SELECT + DATE_TRUNC('day', ds) AS ds__day + , listing_id AS listing + , 1 AS views + FROM ***************************.fct_views views_source_src_10010 + ) subq_33 + LEFT OUTER JOIN + ***************************.dim_listings_latest listings_latest_src_10005 + ON + subq_33.listing = listings_latest_src_10005.listing_id + GROUP BY + subq_33.ds__day + , listings_latest_src_10005.country + ) subq_40 + ON + ( + subq_30.listing__country_latest = subq_40.listing__country_latest + ) AND ( + subq_30.ds__day = subq_40.ds__day + ) + GROUP BY + COALESCE(subq_30.ds__day, subq_40.ds__day) + , COALESCE(subq_30.listing__country_latest, subq_40.listing__country_latest) +) subq_41 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_single_semantic_model__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_single_semantic_model__plan0.sql new file mode 100644 index 0000000000..d8fa906713 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_single_semantic_model__plan0.sql @@ -0,0 +1,195 @@ +-- Compute Metrics via Expressions +SELECT + subq_5.listing + , subq_5.listing__country_latest + , CAST(subq_5.bookings AS DOUBLE) / CAST(NULLIF(subq_5.bookers, 0) AS DOUBLE) AS bookings_per_booker +FROM ( + -- Aggregate Measures + SELECT + subq_4.listing + , subq_4.listing__country_latest + , SUM(subq_4.bookings) AS bookings + , COUNT(DISTINCT subq_4.bookers) AS bookers + FROM ( + -- Join Standard Outputs + SELECT + subq_1.listing AS listing + , subq_3.country_latest AS listing__country_latest + , subq_1.bookings AS bookings + , subq_1.bookers AS bookers + FROM ( + -- Pass Only Elements: + -- ['bookings', 'bookers', 'listing'] + SELECT + subq_0.listing + , subq_0.bookings + , subq_0.bookers + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['country_latest', 'listing'] + SELECT + subq_2.listing + , subq_2.country_latest + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_2 + ) subq_3 + ON + subq_1.listing = subq_3.listing + ) subq_4 + GROUP BY + subq_4.listing + , subq_4.listing__country_latest +) subq_5 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_single_semantic_model__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_single_semantic_model__plan0_optimized.sql new file mode 100644 index 0000000000..0bfa1bff7f --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_ratio_from_single_semantic_model__plan0_optimized.sql @@ -0,0 +1,31 @@ +-- Compute Metrics via Expressions +SELECT + listing + , listing__country_latest + , CAST(bookings AS DOUBLE) / CAST(NULLIF(bookers, 0) AS DOUBLE) AS bookings_per_booker +FROM ( + -- Join Standard Outputs + -- Aggregate Measures + SELECT + subq_7.listing AS listing + , listings_latest_src_10005.country AS listing__country_latest + , SUM(subq_7.bookings) AS bookings + , COUNT(DISTINCT subq_7.bookers) AS bookers + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Pass Only Elements: + -- ['bookings', 'bookers', 'listing'] + SELECT + listing_id AS listing + , 1 AS bookings + , guest_id AS bookers + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_7 + LEFT OUTER JOIN + ***************************.dim_listings_latest listings_latest_src_10005 + ON + subq_7.listing = listings_latest_src_10005.listing_id + GROUP BY + subq_7.listing + , listings_latest_src_10005.country +) subq_11 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_simple_expr__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_simple_expr__plan0.sql new file mode 100644 index 0000000000..22428879cc --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_simple_expr__plan0.sql @@ -0,0 +1,192 @@ +-- Compute Metrics via Expressions +SELECT + subq_5.listing + , subq_5.listing__country_latest + , booking_value * 0.05 AS booking_fees +FROM ( + -- Aggregate Measures + SELECT + subq_4.listing + , subq_4.listing__country_latest + , SUM(subq_4.booking_value) AS booking_value + FROM ( + -- Join Standard Outputs + SELECT + subq_1.listing AS listing + , subq_3.country_latest AS listing__country_latest + , subq_1.booking_value AS booking_value + FROM ( + -- Pass Only Elements: + -- ['booking_value', 'listing'] + SELECT + subq_0.listing + , subq_0.booking_value + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['country_latest', 'listing'] + SELECT + subq_2.listing + , subq_2.country_latest + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_2 + ) subq_3 + ON + subq_1.listing = subq_3.listing + ) subq_4 + GROUP BY + subq_4.listing + , subq_4.listing__country_latest +) subq_5 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_simple_expr__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_simple_expr__plan0_optimized.sql new file mode 100644 index 0000000000..5a844f2632 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_compute_metrics_node_simple_expr__plan0_optimized.sql @@ -0,0 +1,21 @@ +-- Compute Metrics via Expressions +SELECT + listing + , listing__country_latest + , booking_value * 0.05 AS booking_fees +FROM ( + -- Join Standard Outputs + -- Aggregate Measures + SELECT + bookings_source_src_10001.listing_id AS listing + , listings_latest_src_10005.country AS listing__country_latest + , SUM(bookings_source_src_10001.booking_value) AS booking_value + FROM ***************************.fct_bookings bookings_source_src_10001 + LEFT OUTER JOIN + ***************************.dim_listings_latest listings_latest_src_10005 + ON + bookings_source_src_10001.listing_id = listings_latest_src_10005.listing_id + GROUP BY + bookings_source_src_10001.listing_id + , listings_latest_src_10005.country +) subq_11 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_constrain_time_range_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_constrain_time_range_node__plan0.sql new file mode 100644 index 0000000000..bbb44ecc25 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_constrain_time_range_node__plan0.sql @@ -0,0 +1,113 @@ +-- Constrain Time Range to [2020-01-01T00:00:00, 2020-01-02T00:00:00] +SELECT + subq_2.ds__day + , subq_2.metric_time__day + , subq_2.bookings +FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_1.ds__day + , subq_1.ds__day AS metric_time__day + , subq_1.bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'ds__day'] + SELECT + subq_0.ds__day + , subq_0.bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 +) subq_2 +WHERE subq_2.metric_time__day BETWEEN timestamp '2020-01-01' AND timestamp '2020-01-02' diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_constrain_time_range_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_constrain_time_range_node__plan0_optimized.sql new file mode 100644 index 0000000000..653f418578 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_constrain_time_range_node__plan0_optimized.sql @@ -0,0 +1,11 @@ +-- Read Elements From Semantic Model 'bookings_source' +-- Pass Only Elements: +-- ['bookings', 'ds__day'] +-- Metric Time Dimension 'ds' +-- Constrain Time Range to [2020-01-01T00:00:00, 2020-01-02T00:00:00] +SELECT + DATE_TRUNC('day', ds) AS ds__day + , DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings +FROM ***************************.fct_bookings bookings_source_src_10001 +WHERE DATE_TRUNC('day', ds) BETWEEN timestamp '2020-01-01' AND timestamp '2020-01-02' diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimension_with_joined_where_constraint__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimension_with_joined_where_constraint__plan0.sql new file mode 100644 index 0000000000..51a97deab5 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimension_with_joined_where_constraint__plan0.sql @@ -0,0 +1,229 @@ +-- Pass Only Elements: +-- ['user__home_state_latest'] +SELECT + subq_4.user__home_state_latest +FROM ( + -- Constrain Output with WHERE + SELECT + subq_3.ds__day + , subq_3.ds__week + , subq_3.ds__month + , subq_3.ds__quarter + , subq_3.ds__year + , subq_3.ds__extract_year + , subq_3.ds__extract_quarter + , subq_3.ds__extract_month + , subq_3.ds__extract_day + , subq_3.ds__extract_dow + , subq_3.ds__extract_doy + , subq_3.created_at__day + , subq_3.created_at__week + , subq_3.created_at__month + , subq_3.created_at__quarter + , subq_3.created_at__year + , subq_3.created_at__extract_year + , subq_3.created_at__extract_quarter + , subq_3.created_at__extract_month + , subq_3.created_at__extract_day + , subq_3.created_at__extract_dow + , subq_3.created_at__extract_doy + , subq_3.listing__ds__day + , subq_3.listing__ds__week + , subq_3.listing__ds__month + , subq_3.listing__ds__quarter + , subq_3.listing__ds__year + , subq_3.listing__ds__extract_year + , subq_3.listing__ds__extract_quarter + , subq_3.listing__ds__extract_month + , subq_3.listing__ds__extract_day + , subq_3.listing__ds__extract_dow + , subq_3.listing__ds__extract_doy + , subq_3.listing__created_at__day + , subq_3.listing__created_at__week + , subq_3.listing__created_at__month + , subq_3.listing__created_at__quarter + , subq_3.listing__created_at__year + , subq_3.listing__created_at__extract_year + , subq_3.listing__created_at__extract_quarter + , subq_3.listing__created_at__extract_month + , subq_3.listing__created_at__extract_day + , subq_3.listing__created_at__extract_dow + , subq_3.listing__created_at__extract_doy + , subq_3.listing + , subq_3.user + , subq_3.listing__user + , subq_3.country_latest + , subq_3.is_lux_latest + , subq_3.capacity_latest + , subq_3.listing__country_latest + , subq_3.listing__is_lux_latest + , subq_3.listing__capacity_latest + , subq_3.user__home_state_latest + , subq_3.listings + , subq_3.largest_listing + , subq_3.smallest_listing + FROM ( + -- Join Standard Outputs + SELECT + subq_0.ds__day AS ds__day + , subq_0.ds__week AS ds__week + , subq_0.ds__month AS ds__month + , subq_0.ds__quarter AS ds__quarter + , subq_0.ds__year AS ds__year + , subq_0.ds__extract_year AS ds__extract_year + , subq_0.ds__extract_quarter AS ds__extract_quarter + , subq_0.ds__extract_month AS ds__extract_month + , subq_0.ds__extract_day AS ds__extract_day + , subq_0.ds__extract_dow AS ds__extract_dow + , subq_0.ds__extract_doy AS ds__extract_doy + , subq_0.created_at__day AS created_at__day + , subq_0.created_at__week AS created_at__week + , subq_0.created_at__month AS created_at__month + , subq_0.created_at__quarter AS created_at__quarter + , subq_0.created_at__year AS created_at__year + , subq_0.created_at__extract_year AS created_at__extract_year + , subq_0.created_at__extract_quarter AS created_at__extract_quarter + , subq_0.created_at__extract_month AS created_at__extract_month + , subq_0.created_at__extract_day AS created_at__extract_day + , subq_0.created_at__extract_dow AS created_at__extract_dow + , subq_0.created_at__extract_doy AS created_at__extract_doy + , subq_0.listing__ds__day AS listing__ds__day + , subq_0.listing__ds__week AS listing__ds__week + , subq_0.listing__ds__month AS listing__ds__month + , subq_0.listing__ds__quarter AS listing__ds__quarter + , subq_0.listing__ds__year AS listing__ds__year + , subq_0.listing__ds__extract_year AS listing__ds__extract_year + , subq_0.listing__ds__extract_quarter AS listing__ds__extract_quarter + , subq_0.listing__ds__extract_month AS listing__ds__extract_month + , subq_0.listing__ds__extract_day AS listing__ds__extract_day + , subq_0.listing__ds__extract_dow AS listing__ds__extract_dow + , subq_0.listing__ds__extract_doy AS listing__ds__extract_doy + , subq_0.listing__created_at__day AS listing__created_at__day + , subq_0.listing__created_at__week AS listing__created_at__week + , subq_0.listing__created_at__month AS listing__created_at__month + , subq_0.listing__created_at__quarter AS listing__created_at__quarter + , subq_0.listing__created_at__year AS listing__created_at__year + , subq_0.listing__created_at__extract_year AS listing__created_at__extract_year + , subq_0.listing__created_at__extract_quarter AS listing__created_at__extract_quarter + , subq_0.listing__created_at__extract_month AS listing__created_at__extract_month + , subq_0.listing__created_at__extract_day AS listing__created_at__extract_day + , subq_0.listing__created_at__extract_dow AS listing__created_at__extract_dow + , subq_0.listing__created_at__extract_doy AS listing__created_at__extract_doy + , subq_0.listing AS listing + , subq_0.user AS user + , subq_0.listing__user AS listing__user + , subq_0.country_latest AS country_latest + , subq_0.is_lux_latest AS is_lux_latest + , subq_0.capacity_latest AS capacity_latest + , subq_0.listing__country_latest AS listing__country_latest + , subq_0.listing__is_lux_latest AS listing__is_lux_latest + , subq_0.listing__capacity_latest AS listing__capacity_latest + , subq_2.home_state_latest AS user__home_state_latest + , subq_0.listings AS listings + , subq_0.largest_listing AS largest_listing + , subq_0.smallest_listing AS smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_0 + FULL OUTER JOIN ( + -- Pass Only Elements: + -- ['home_state_latest', 'user'] + SELECT + subq_1.user + , subq_1.home_state_latest + FROM ( + -- Read Elements From Semantic Model 'users_latest' + SELECT + DATE_TRUNC('day', users_latest_src_10009.ds) AS ds_latest__day + , DATE_TRUNC('week', users_latest_src_10009.ds) AS ds_latest__week + , DATE_TRUNC('month', users_latest_src_10009.ds) AS ds_latest__month + , DATE_TRUNC('quarter', users_latest_src_10009.ds) AS ds_latest__quarter + , DATE_TRUNC('year', users_latest_src_10009.ds) AS ds_latest__year + , EXTRACT(year FROM users_latest_src_10009.ds) AS ds_latest__extract_year + , EXTRACT(quarter FROM users_latest_src_10009.ds) AS ds_latest__extract_quarter + , EXTRACT(month FROM users_latest_src_10009.ds) AS ds_latest__extract_month + , EXTRACT(day FROM users_latest_src_10009.ds) AS ds_latest__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10009.ds) AS ds_latest__extract_dow + , EXTRACT(doy FROM users_latest_src_10009.ds) AS ds_latest__extract_doy + , users_latest_src_10009.home_state_latest + , DATE_TRUNC('day', users_latest_src_10009.ds) AS user__ds_latest__day + , DATE_TRUNC('week', users_latest_src_10009.ds) AS user__ds_latest__week + , DATE_TRUNC('month', users_latest_src_10009.ds) AS user__ds_latest__month + , DATE_TRUNC('quarter', users_latest_src_10009.ds) AS user__ds_latest__quarter + , DATE_TRUNC('year', users_latest_src_10009.ds) AS user__ds_latest__year + , EXTRACT(year FROM users_latest_src_10009.ds) AS user__ds_latest__extract_year + , EXTRACT(quarter FROM users_latest_src_10009.ds) AS user__ds_latest__extract_quarter + , EXTRACT(month FROM users_latest_src_10009.ds) AS user__ds_latest__extract_month + , EXTRACT(day FROM users_latest_src_10009.ds) AS user__ds_latest__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10009.ds) AS user__ds_latest__extract_dow + , EXTRACT(doy FROM users_latest_src_10009.ds) AS user__ds_latest__extract_doy + , users_latest_src_10009.home_state_latest AS user__home_state_latest + , users_latest_src_10009.user_id AS user + FROM ***************************.dim_users_latest users_latest_src_10009 + ) subq_1 + ) subq_2 + ON + subq_0.user = subq_2.user + ) subq_3 + WHERE listing__country_latest = 'us' +) subq_4 +GROUP BY + subq_4.user__home_state_latest diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimension_with_joined_where_constraint__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimension_with_joined_where_constraint__plan0_optimized.sql new file mode 100644 index 0000000000..bbb933bac0 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimension_with_joined_where_constraint__plan0_optimized.sql @@ -0,0 +1,19 @@ +-- Constrain Output with WHERE +-- Pass Only Elements: +-- ['user__home_state_latest'] +SELECT + user__home_state_latest +FROM ( + -- Join Standard Outputs + SELECT + listings_latest_src_10005.country AS listing__country_latest + , users_latest_src_10009.home_state_latest AS user__home_state_latest + FROM ***************************.dim_listings_latest listings_latest_src_10005 + FULL OUTER JOIN + ***************************.dim_users_latest users_latest_src_10009 + ON + listings_latest_src_10005.user_id = users_latest_src_10009.user_id +) subq_8 +WHERE listing__country_latest = 'us' +GROUP BY + user__home_state_latest diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0.sql new file mode 100644 index 0000000000..77f81a9548 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0.sql @@ -0,0 +1,169 @@ +-- Pass Only Elements: +-- ['user__home_state_latest', 'listing__is_lux_latest'] +SELECT + subq_3.listing__is_lux_latest + , subq_3.user__home_state_latest +FROM ( + -- Join Standard Outputs + SELECT + subq_0.ds__day AS ds__day + , subq_0.ds__week AS ds__week + , subq_0.ds__month AS ds__month + , subq_0.ds__quarter AS ds__quarter + , subq_0.ds__year AS ds__year + , subq_0.ds__extract_year AS ds__extract_year + , subq_0.ds__extract_quarter AS ds__extract_quarter + , subq_0.ds__extract_month AS ds__extract_month + , subq_0.ds__extract_day AS ds__extract_day + , subq_0.ds__extract_dow AS ds__extract_dow + , subq_0.ds__extract_doy AS ds__extract_doy + , subq_0.created_at__day AS created_at__day + , subq_0.created_at__week AS created_at__week + , subq_0.created_at__month AS created_at__month + , subq_0.created_at__quarter AS created_at__quarter + , subq_0.created_at__year AS created_at__year + , subq_0.created_at__extract_year AS created_at__extract_year + , subq_0.created_at__extract_quarter AS created_at__extract_quarter + , subq_0.created_at__extract_month AS created_at__extract_month + , subq_0.created_at__extract_day AS created_at__extract_day + , subq_0.created_at__extract_dow AS created_at__extract_dow + , subq_0.created_at__extract_doy AS created_at__extract_doy + , subq_0.listing__ds__day AS listing__ds__day + , subq_0.listing__ds__week AS listing__ds__week + , subq_0.listing__ds__month AS listing__ds__month + , subq_0.listing__ds__quarter AS listing__ds__quarter + , subq_0.listing__ds__year AS listing__ds__year + , subq_0.listing__ds__extract_year AS listing__ds__extract_year + , subq_0.listing__ds__extract_quarter AS listing__ds__extract_quarter + , subq_0.listing__ds__extract_month AS listing__ds__extract_month + , subq_0.listing__ds__extract_day AS listing__ds__extract_day + , subq_0.listing__ds__extract_dow AS listing__ds__extract_dow + , subq_0.listing__ds__extract_doy AS listing__ds__extract_doy + , subq_0.listing__created_at__day AS listing__created_at__day + , subq_0.listing__created_at__week AS listing__created_at__week + , subq_0.listing__created_at__month AS listing__created_at__month + , subq_0.listing__created_at__quarter AS listing__created_at__quarter + , subq_0.listing__created_at__year AS listing__created_at__year + , subq_0.listing__created_at__extract_year AS listing__created_at__extract_year + , subq_0.listing__created_at__extract_quarter AS listing__created_at__extract_quarter + , subq_0.listing__created_at__extract_month AS listing__created_at__extract_month + , subq_0.listing__created_at__extract_day AS listing__created_at__extract_day + , subq_0.listing__created_at__extract_dow AS listing__created_at__extract_dow + , subq_0.listing__created_at__extract_doy AS listing__created_at__extract_doy + , subq_0.listing AS listing + , subq_0.user AS user + , subq_0.listing__user AS listing__user + , subq_0.country_latest AS country_latest + , subq_0.is_lux_latest AS is_lux_latest + , subq_0.capacity_latest AS capacity_latest + , subq_0.listing__country_latest AS listing__country_latest + , subq_0.listing__is_lux_latest AS listing__is_lux_latest + , subq_0.listing__capacity_latest AS listing__capacity_latest + , subq_2.home_state_latest AS user__home_state_latest + , subq_0.listings AS listings + , subq_0.largest_listing AS largest_listing + , subq_0.smallest_listing AS smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_0 + FULL OUTER JOIN ( + -- Pass Only Elements: + -- ['home_state_latest', 'user'] + SELECT + subq_1.user + , subq_1.home_state_latest + FROM ( + -- Read Elements From Semantic Model 'users_latest' + SELECT + DATE_TRUNC('day', users_latest_src_10009.ds) AS ds_latest__day + , DATE_TRUNC('week', users_latest_src_10009.ds) AS ds_latest__week + , DATE_TRUNC('month', users_latest_src_10009.ds) AS ds_latest__month + , DATE_TRUNC('quarter', users_latest_src_10009.ds) AS ds_latest__quarter + , DATE_TRUNC('year', users_latest_src_10009.ds) AS ds_latest__year + , EXTRACT(year FROM users_latest_src_10009.ds) AS ds_latest__extract_year + , EXTRACT(quarter FROM users_latest_src_10009.ds) AS ds_latest__extract_quarter + , EXTRACT(month FROM users_latest_src_10009.ds) AS ds_latest__extract_month + , EXTRACT(day FROM users_latest_src_10009.ds) AS ds_latest__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10009.ds) AS ds_latest__extract_dow + , EXTRACT(doy FROM users_latest_src_10009.ds) AS ds_latest__extract_doy + , users_latest_src_10009.home_state_latest + , DATE_TRUNC('day', users_latest_src_10009.ds) AS user__ds_latest__day + , DATE_TRUNC('week', users_latest_src_10009.ds) AS user__ds_latest__week + , DATE_TRUNC('month', users_latest_src_10009.ds) AS user__ds_latest__month + , DATE_TRUNC('quarter', users_latest_src_10009.ds) AS user__ds_latest__quarter + , DATE_TRUNC('year', users_latest_src_10009.ds) AS user__ds_latest__year + , EXTRACT(year FROM users_latest_src_10009.ds) AS user__ds_latest__extract_year + , EXTRACT(quarter FROM users_latest_src_10009.ds) AS user__ds_latest__extract_quarter + , EXTRACT(month FROM users_latest_src_10009.ds) AS user__ds_latest__extract_month + , EXTRACT(day FROM users_latest_src_10009.ds) AS user__ds_latest__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10009.ds) AS user__ds_latest__extract_dow + , EXTRACT(doy FROM users_latest_src_10009.ds) AS user__ds_latest__extract_doy + , users_latest_src_10009.home_state_latest AS user__home_state_latest + , users_latest_src_10009.user_id AS user + FROM ***************************.dim_users_latest users_latest_src_10009 + ) subq_1 + ) subq_2 + ON + subq_0.user = subq_2.user +) subq_3 +GROUP BY + subq_3.listing__is_lux_latest + , subq_3.user__home_state_latest diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0_optimized.sql new file mode 100644 index 0000000000..7f093b6070 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0_optimized.sql @@ -0,0 +1,14 @@ +-- Join Standard Outputs +-- Pass Only Elements: +-- ['user__home_state_latest', 'listing__is_lux_latest'] +SELECT + listings_latest_src_10005.is_lux AS listing__is_lux_latest + , users_latest_src_10009.home_state_latest AS user__home_state_latest +FROM ***************************.dim_listings_latest listings_latest_src_10005 +FULL OUTER JOIN + ***************************.dim_users_latest users_latest_src_10009 +ON + listings_latest_src_10005.user_id = users_latest_src_10009.user_id +GROUP BY + listings_latest_src_10005.is_lux + , users_latest_src_10009.home_state_latest diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_node__plan0.sql new file mode 100644 index 0000000000..e56a6cb7d8 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_node__plan0.sql @@ -0,0 +1,97 @@ +-- Pass Only Elements: +-- ['bookings'] +SELECT + subq_0.bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_0 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_node__plan0_optimized.sql new file mode 100644 index 0000000000..24beb367f1 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_node__plan0_optimized.sql @@ -0,0 +1,6 @@ +-- Read Elements From Semantic Model 'bookings_source' +-- Pass Only Elements: +-- ['bookings'] +SELECT + 1 AS bookings +FROM ***************************.fct_bookings bookings_source_src_10001 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_node__plan0.sql new file mode 100644 index 0000000000..5cae218a31 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_node__plan0.sql @@ -0,0 +1,105 @@ +-- Constrain Output with WHERE +SELECT + subq_1.ds__day + , subq_1.bookings +FROM ( + -- Pass Only Elements: + -- ['bookings', 'ds__day'] + SELECT + subq_0.ds__day + , subq_0.bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 +) subq_1 +WHERE booking__ds__day = '2020-01-01' diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_node__plan0_optimized.sql new file mode 100644 index 0000000000..98241721ca --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_node__plan0_optimized.sql @@ -0,0 +1,14 @@ +-- Constrain Output with WHERE +SELECT + ds__day + , bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Pass Only Elements: + -- ['bookings', 'ds__day'] + SELECT + DATE_TRUNC('day', ds) AS ds__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_3 +WHERE booking__ds__day = '2020-01-01' diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_to_grain__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_to_grain__plan0.sql new file mode 100644 index 0000000000..8412a752eb --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_to_grain__plan0.sql @@ -0,0 +1,234 @@ +-- Join to Time Spine Dataset +SELECT + subq_5.metric_time__day AS metric_time__day + , subq_4.listing AS listing + , subq_4.booking_fees AS booking_fees +FROM ( + -- Date Spine + SELECT + subq_6.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_6 + WHERE subq_6.ds BETWEEN timestamp '2020-01-01' AND timestamp '2021-01-01' +) subq_5 +INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__day + , subq_3.listing + , booking_value * 0.05 AS booking_fees + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , subq_2.listing + , SUM(subq_2.booking_value) AS booking_value + FROM ( + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day', 'listing'] + SELECT + subq_1.metric_time__day + , subq_1.listing + , subq_1.booking_value + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + , subq_2.listing + ) subq_3 +) subq_4 +ON + DATE_TRUNC('month', subq_5.metric_time__day) = subq_4.metric_time__day diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_to_grain__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_to_grain__plan0_optimized.sql new file mode 100644 index 0000000000..e3195ff6ad --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_to_grain__plan0_optimized.sql @@ -0,0 +1,36 @@ +-- Join to Time Spine Dataset +SELECT + subq_12.metric_time__day AS metric_time__day + , subq_11.listing AS listing + , subq_11.booking_fees AS booking_fees +FROM ( + -- Date Spine + SELECT + ds AS metric_time__day + FROM ***************************.mf_time_spine subq_13 + WHERE ds BETWEEN timestamp '2020-01-01' AND timestamp '2021-01-01' +) subq_12 +INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + metric_time__day + , listing + , booking_value * 0.05 AS booking_fees + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day', 'listing'] + -- Aggregate Measures + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , listing_id AS listing + , SUM(booking_value) AS booking_value + FROM ***************************.fct_bookings bookings_source_src_10001 + GROUP BY + DATE_TRUNC('day', ds) + , listing_id + ) subq_10 +) subq_11 +ON + DATE_TRUNC('month', subq_12.metric_time__day) = subq_11.metric_time__day diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_window__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_window__plan0.sql new file mode 100644 index 0000000000..520a9c82e5 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_window__plan0.sql @@ -0,0 +1,234 @@ +-- Join to Time Spine Dataset +SELECT + subq_5.metric_time__day AS metric_time__day + , subq_4.listing AS listing + , subq_4.booking_fees AS booking_fees +FROM ( + -- Date Spine + SELECT + subq_6.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_6 + WHERE subq_6.ds BETWEEN timestamp '2020-01-01' AND timestamp '2021-01-01' +) subq_5 +INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__day + , subq_3.listing + , booking_value * 0.05 AS booking_fees + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , subq_2.listing + , SUM(subq_2.booking_value) AS booking_value + FROM ( + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day', 'listing'] + SELECT + subq_1.metric_time__day + , subq_1.listing + , subq_1.booking_value + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + , subq_2.listing + ) subq_3 +) subq_4 +ON + DATE_ADD('day', -10, subq_5.metric_time__day) = subq_4.metric_time__day diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_window__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_window__plan0_optimized.sql new file mode 100644 index 0000000000..1a6479ac03 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_with_offset_window__plan0_optimized.sql @@ -0,0 +1,36 @@ +-- Join to Time Spine Dataset +SELECT + subq_12.metric_time__day AS metric_time__day + , subq_11.listing AS listing + , subq_11.booking_fees AS booking_fees +FROM ( + -- Date Spine + SELECT + ds AS metric_time__day + FROM ***************************.mf_time_spine subq_13 + WHERE ds BETWEEN timestamp '2020-01-01' AND timestamp '2021-01-01' +) subq_12 +INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + metric_time__day + , listing + , booking_value * 0.05 AS booking_fees + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day', 'listing'] + -- Aggregate Measures + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , listing_id AS listing + , SUM(booking_value) AS booking_value + FROM ***************************.fct_bookings bookings_source_src_10001 + GROUP BY + DATE_TRUNC('day', ds) + , listing_id + ) subq_10 +) subq_11 +ON + DATE_ADD('day', -10, subq_12.metric_time__day) = subq_11.metric_time__day diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_without_offset__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_without_offset__plan0.sql new file mode 100644 index 0000000000..c6152ec507 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_without_offset__plan0.sql @@ -0,0 +1,234 @@ +-- Join to Time Spine Dataset +SELECT + subq_5.metric_time__day AS metric_time__day + , subq_4.listing AS listing + , subq_4.booking_fees AS booking_fees +FROM ( + -- Date Spine + SELECT + subq_6.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_6 + WHERE subq_6.ds BETWEEN timestamp '2020-01-01' AND timestamp '2021-01-01' +) subq_5 +INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__day + , subq_3.listing + , booking_value * 0.05 AS booking_fees + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , subq_2.listing + , SUM(subq_2.booking_value) AS booking_value + FROM ( + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day', 'listing'] + SELECT + subq_1.metric_time__day + , subq_1.listing + , subq_1.booking_value + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + , subq_2.listing + ) subq_3 +) subq_4 +ON + subq_5.metric_time__day = subq_4.metric_time__day diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_without_offset__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_without_offset__plan0_optimized.sql new file mode 100644 index 0000000000..c22c620e3c --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_join_to_time_spine_node_without_offset__plan0_optimized.sql @@ -0,0 +1,36 @@ +-- Join to Time Spine Dataset +SELECT + subq_12.metric_time__day AS metric_time__day + , subq_11.listing AS listing + , subq_11.booking_fees AS booking_fees +FROM ( + -- Date Spine + SELECT + ds AS metric_time__day + FROM ***************************.mf_time_spine subq_13 + WHERE ds BETWEEN timestamp '2020-01-01' AND timestamp '2021-01-01' +) subq_12 +INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + metric_time__day + , listing + , booking_value * 0.05 AS booking_fees + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day', 'listing'] + -- Aggregate Measures + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , listing_id AS listing + , SUM(booking_value) AS booking_value + FROM ***************************.fct_bookings bookings_source_src_10001 + GROUP BY + DATE_TRUNC('day', ds) + , listing_id + ) subq_10 +) subq_11 +ON + subq_12.metric_time__day = subq_11.metric_time__day diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_measure_aggregation_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_measure_aggregation_node__plan0.sql new file mode 100644 index 0000000000..7ac33fd585 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_measure_aggregation_node__plan0.sql @@ -0,0 +1,108 @@ +-- Aggregate Measures +SELECT + SUM(subq_1.bookings) AS bookings + , SUM(subq_1.instant_bookings) AS instant_bookings + , COUNT(DISTINCT subq_1.bookers) AS bookers + , AVG(subq_1.average_booking_value) AS average_booking_value +FROM ( + -- Pass Only Elements: + -- ['bookings', 'instant_bookings', 'average_booking_value', 'bookers'] + SELECT + subq_0.bookings + , subq_0.instant_bookings + , subq_0.bookers + , subq_0.average_booking_value + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 +) subq_1 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_measure_aggregation_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_measure_aggregation_node__plan0_optimized.sql new file mode 100644 index 0000000000..2118e57c95 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_measure_aggregation_node__plan0_optimized.sql @@ -0,0 +1,10 @@ +-- Read Elements From Semantic Model 'bookings_source' +-- Pass Only Elements: +-- ['bookings', 'instant_bookings', 'average_booking_value', 'bookers'] +-- Aggregate Measures +SELECT + SUM(1) AS bookings + , SUM(CASE WHEN is_instant THEN 1 ELSE 0 END) AS instant_bookings + , COUNT(DISTINCT guest_id) AS bookers + , AVG(booking_value) AS average_booking_value +FROM ***************************.fct_bookings bookings_source_src_10001 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_multi_join_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_multi_join_node__plan0.sql new file mode 100644 index 0000000000..26d887d309 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_multi_join_node__plan0.sql @@ -0,0 +1,246 @@ +-- Join Standard Outputs +SELECT + subq_1.listing AS listing + , subq_3.country_latest AS listing__country_latest + , subq_5.country_latest AS listing__country_latest + , subq_1.bookings AS bookings +FROM ( + -- Pass Only Elements: + -- ['bookings', 'listing'] + SELECT + subq_0.listing + , subq_0.bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 +) subq_1 +LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['country_latest', 'listing'] + SELECT + subq_2.listing + , subq_2.country_latest + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_2 +) subq_3 +ON + subq_1.listing = subq_3.listing +LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['country_latest', 'listing'] + SELECT + subq_4.listing + , subq_4.country_latest + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_4 +) subq_5 +ON + subq_1.listing = subq_5.listing diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_multi_join_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_multi_join_node__plan0_optimized.sql new file mode 100644 index 0000000000..ddfc1d9706 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_multi_join_node__plan0_optimized.sql @@ -0,0 +1,37 @@ +-- Join Standard Outputs +SELECT + subq_7.listing AS listing + , subq_9.country_latest AS listing__country_latest + , subq_11.country_latest AS listing__country_latest + , subq_7.bookings AS bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Pass Only Elements: + -- ['bookings', 'listing'] + SELECT + listing_id AS listing + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_7 +LEFT OUTER JOIN ( + -- Read Elements From Semantic Model 'listings_latest' + -- Pass Only Elements: + -- ['country_latest', 'listing'] + SELECT + listing_id AS listing + , country AS country_latest + FROM ***************************.dim_listings_latest listings_latest_src_10005 +) subq_9 +ON + subq_7.listing = subq_9.listing +LEFT OUTER JOIN ( + -- Read Elements From Semantic Model 'listings_latest' + -- Pass Only Elements: + -- ['country_latest', 'listing'] + SELECT + listing_id AS listing + , country AS country_latest + FROM ***************************.dim_listings_latest listings_latest_src_10005 +) subq_11 +ON + subq_7.listing = subq_11.listing diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_order_by_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_order_by_node__plan0.sql new file mode 100644 index 0000000000..6abdafb81f --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_order_by_node__plan0.sql @@ -0,0 +1,124 @@ +-- Order By ['ds__day', 'bookings'] +SELECT + subq_3.ds__day + , subq_3.is_instant + , subq_3.bookings +FROM ( + -- Compute Metrics via Expressions + SELECT + subq_2.ds__day + , subq_2.is_instant + , subq_2.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_1.ds__day + , subq_1.is_instant + , SUM(subq_1.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'is_instant', 'ds__day'] + SELECT + subq_0.ds__day + , subq_0.is_instant + , subq_0.bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + GROUP BY + subq_1.ds__day + , subq_1.is_instant + ) subq_2 +) subq_3 +ORDER BY subq_3.ds__day, subq_3.bookings DESC diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_order_by_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_order_by_node__plan0_optimized.sql new file mode 100644 index 0000000000..b0e38b1d22 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_order_by_node__plan0_optimized.sql @@ -0,0 +1,21 @@ +-- Aggregate Measures +-- Compute Metrics via Expressions +-- Order By ['ds__day', 'bookings'] +SELECT + ds__day + , is_instant + , SUM(bookings) AS bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Pass Only Elements: + -- ['bookings', 'is_instant', 'ds__day'] + SELECT + DATE_TRUNC('day', ds) AS ds__day + , is_instant + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_5 +GROUP BY + ds__day + , is_instant +ORDER BY ds__day, bookings DESC diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node__plan0.sql new file mode 100644 index 0000000000..e2631c06c4 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node__plan0.sql @@ -0,0 +1,106 @@ +-- Join on MIN(ds) and [] grouping by None +SELECT + subq_0.ds__day AS ds__day + , subq_0.ds__week AS ds__week + , subq_0.ds__month AS ds__month + , subq_0.ds__quarter AS ds__quarter + , subq_0.ds__year AS ds__year + , subq_0.ds__extract_year AS ds__extract_year + , subq_0.ds__extract_quarter AS ds__extract_quarter + , subq_0.ds__extract_month AS ds__extract_month + , subq_0.ds__extract_day AS ds__extract_day + , subq_0.ds__extract_dow AS ds__extract_dow + , subq_0.ds__extract_doy AS ds__extract_doy + , subq_0.account__ds__day AS account__ds__day + , subq_0.account__ds__week AS account__ds__week + , subq_0.account__ds__month AS account__ds__month + , subq_0.account__ds__quarter AS account__ds__quarter + , subq_0.account__ds__year AS account__ds__year + , subq_0.account__ds__extract_year AS account__ds__extract_year + , subq_0.account__ds__extract_quarter AS account__ds__extract_quarter + , subq_0.account__ds__extract_month AS account__ds__extract_month + , subq_0.account__ds__extract_day AS account__ds__extract_day + , subq_0.account__ds__extract_dow AS account__ds__extract_dow + , subq_0.account__ds__extract_doy AS account__ds__extract_doy + , subq_0.user AS user + , subq_0.account__user AS account__user + , subq_0.account_type AS account_type + , subq_0.account__account_type AS account__account_type + , subq_0.account_balance AS account_balance + , subq_0.total_account_balance_first_day AS total_account_balance_first_day + , subq_0.current_account_balance_by_user AS current_account_balance_by_user +FROM ( + -- Read Elements From Semantic Model 'accounts_source' + SELECT + accounts_source_src_10000.account_balance + , accounts_source_src_10000.account_balance AS total_account_balance_first_day + , accounts_source_src_10000.account_balance AS current_account_balance_by_user + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS ds__extract_doy + , accounts_source_src_10000.account_type + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS account__ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS account__ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS account__ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS account__ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS account__ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS account__ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS account__ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS account__ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS account__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS account__ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS account__ds__extract_doy + , accounts_source_src_10000.account_type AS account__account_type + , accounts_source_src_10000.user_id AS user + , accounts_source_src_10000.user_id AS account__user + FROM ***************************.fct_accounts accounts_source_src_10000 +) subq_0 +INNER JOIN ( + -- Filter row on MIN(ds__day) + SELECT + MIN(subq_1.ds__day) AS ds__day__complete + FROM ( + -- Read Elements From Semantic Model 'accounts_source' + SELECT + accounts_source_src_10000.account_balance + , accounts_source_src_10000.account_balance AS total_account_balance_first_day + , accounts_source_src_10000.account_balance AS current_account_balance_by_user + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS ds__extract_doy + , accounts_source_src_10000.account_type + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS account__ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS account__ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS account__ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS account__ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS account__ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS account__ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS account__ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS account__ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS account__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS account__ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS account__ds__extract_doy + , accounts_source_src_10000.account_type AS account__account_type + , accounts_source_src_10000.user_id AS user + , accounts_source_src_10000.user_id AS account__user + FROM ***************************.fct_accounts accounts_source_src_10000 + ) subq_1 +) subq_2 +ON + subq_0.ds__day = subq_2.ds__day__complete diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node__plan0_optimized.sql new file mode 100644 index 0000000000..3bb832607b --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node__plan0_optimized.sql @@ -0,0 +1,74 @@ +-- Join on MIN(ds) and [] grouping by None +SELECT + subq_3.ds__day AS ds__day + , subq_3.ds__week AS ds__week + , subq_3.ds__month AS ds__month + , subq_3.ds__quarter AS ds__quarter + , subq_3.ds__year AS ds__year + , subq_3.ds__extract_year AS ds__extract_year + , subq_3.ds__extract_quarter AS ds__extract_quarter + , subq_3.ds__extract_month AS ds__extract_month + , subq_3.ds__extract_day AS ds__extract_day + , subq_3.ds__extract_dow AS ds__extract_dow + , subq_3.ds__extract_doy AS ds__extract_doy + , subq_3.account__ds__day AS account__ds__day + , subq_3.account__ds__week AS account__ds__week + , subq_3.account__ds__month AS account__ds__month + , subq_3.account__ds__quarter AS account__ds__quarter + , subq_3.account__ds__year AS account__ds__year + , subq_3.account__ds__extract_year AS account__ds__extract_year + , subq_3.account__ds__extract_quarter AS account__ds__extract_quarter + , subq_3.account__ds__extract_month AS account__ds__extract_month + , subq_3.account__ds__extract_day AS account__ds__extract_day + , subq_3.account__ds__extract_dow AS account__ds__extract_dow + , subq_3.account__ds__extract_doy AS account__ds__extract_doy + , subq_3.user AS user + , subq_3.account__user AS account__user + , subq_3.account_type AS account_type + , subq_3.account__account_type AS account__account_type + , subq_3.account_balance AS account_balance + , subq_3.total_account_balance_first_day AS total_account_balance_first_day + , subq_3.current_account_balance_by_user AS current_account_balance_by_user +FROM ( + -- Read Elements From Semantic Model 'accounts_source' + SELECT + account_balance + , account_balance AS total_account_balance_first_day + , account_balance AS current_account_balance_by_user + , DATE_TRUNC('day', ds) AS ds__day + , DATE_TRUNC('week', ds) AS ds__week + , DATE_TRUNC('month', ds) AS ds__month + , DATE_TRUNC('quarter', ds) AS ds__quarter + , DATE_TRUNC('year', ds) AS ds__year + , EXTRACT(year FROM ds) AS ds__extract_year + , EXTRACT(quarter FROM ds) AS ds__extract_quarter + , EXTRACT(month FROM ds) AS ds__extract_month + , EXTRACT(day FROM ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS ds__extract_dow + , EXTRACT(doy FROM ds) AS ds__extract_doy + , account_type + , DATE_TRUNC('day', ds) AS account__ds__day + , DATE_TRUNC('week', ds) AS account__ds__week + , DATE_TRUNC('month', ds) AS account__ds__month + , DATE_TRUNC('quarter', ds) AS account__ds__quarter + , DATE_TRUNC('year', ds) AS account__ds__year + , EXTRACT(year FROM ds) AS account__ds__extract_year + , EXTRACT(quarter FROM ds) AS account__ds__extract_quarter + , EXTRACT(month FROM ds) AS account__ds__extract_month + , EXTRACT(day FROM ds) AS account__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS account__ds__extract_dow + , EXTRACT(doy FROM ds) AS account__ds__extract_doy + , account_type AS account__account_type + , user_id AS user + , user_id AS account__user + FROM ***************************.fct_accounts accounts_source_src_10000 +) subq_3 +INNER JOIN ( + -- Read Elements From Semantic Model 'accounts_source' + -- Filter row on MIN(ds__day) + SELECT + MIN(DATE_TRUNC('day', ds)) AS ds__day__complete + FROM ***************************.fct_accounts accounts_source_src_10000 +) subq_5 +ON + subq_3.ds__day = subq_5.ds__day__complete diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_grouping__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_grouping__plan0.sql new file mode 100644 index 0000000000..1573868cd0 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_grouping__plan0.sql @@ -0,0 +1,113 @@ +-- Join on MAX(ds) and ['user'] grouping by None +SELECT + subq_0.ds__day AS ds__day + , subq_0.ds__week AS ds__week + , subq_0.ds__month AS ds__month + , subq_0.ds__quarter AS ds__quarter + , subq_0.ds__year AS ds__year + , subq_0.ds__extract_year AS ds__extract_year + , subq_0.ds__extract_quarter AS ds__extract_quarter + , subq_0.ds__extract_month AS ds__extract_month + , subq_0.ds__extract_day AS ds__extract_day + , subq_0.ds__extract_dow AS ds__extract_dow + , subq_0.ds__extract_doy AS ds__extract_doy + , subq_0.account__ds__day AS account__ds__day + , subq_0.account__ds__week AS account__ds__week + , subq_0.account__ds__month AS account__ds__month + , subq_0.account__ds__quarter AS account__ds__quarter + , subq_0.account__ds__year AS account__ds__year + , subq_0.account__ds__extract_year AS account__ds__extract_year + , subq_0.account__ds__extract_quarter AS account__ds__extract_quarter + , subq_0.account__ds__extract_month AS account__ds__extract_month + , subq_0.account__ds__extract_day AS account__ds__extract_day + , subq_0.account__ds__extract_dow AS account__ds__extract_dow + , subq_0.account__ds__extract_doy AS account__ds__extract_doy + , subq_0.user AS user + , subq_0.account__user AS account__user + , subq_0.account_type AS account_type + , subq_0.account__account_type AS account__account_type + , subq_0.account_balance AS account_balance + , subq_0.total_account_balance_first_day AS total_account_balance_first_day + , subq_0.current_account_balance_by_user AS current_account_balance_by_user +FROM ( + -- Read Elements From Semantic Model 'accounts_source' + SELECT + accounts_source_src_10000.account_balance + , accounts_source_src_10000.account_balance AS total_account_balance_first_day + , accounts_source_src_10000.account_balance AS current_account_balance_by_user + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS ds__extract_doy + , accounts_source_src_10000.account_type + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS account__ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS account__ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS account__ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS account__ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS account__ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS account__ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS account__ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS account__ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS account__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS account__ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS account__ds__extract_doy + , accounts_source_src_10000.account_type AS account__account_type + , accounts_source_src_10000.user_id AS user + , accounts_source_src_10000.user_id AS account__user + FROM ***************************.fct_accounts accounts_source_src_10000 +) subq_0 +INNER JOIN ( + -- Filter row on MAX(ds__day) + SELECT + subq_1.user + , MAX(subq_1.ds__day) AS ds__day__complete + FROM ( + -- Read Elements From Semantic Model 'accounts_source' + SELECT + accounts_source_src_10000.account_balance + , accounts_source_src_10000.account_balance AS total_account_balance_first_day + , accounts_source_src_10000.account_balance AS current_account_balance_by_user + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS ds__extract_doy + , accounts_source_src_10000.account_type + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS account__ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS account__ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS account__ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS account__ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS account__ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS account__ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS account__ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS account__ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS account__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS account__ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS account__ds__extract_doy + , accounts_source_src_10000.account_type AS account__account_type + , accounts_source_src_10000.user_id AS user + , accounts_source_src_10000.user_id AS account__user + FROM ***************************.fct_accounts accounts_source_src_10000 + ) subq_1 + GROUP BY + subq_1.user +) subq_2 +ON + ( + subq_0.ds__day = subq_2.ds__day__complete + ) AND ( + subq_0.user = subq_2.user + ) diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_grouping__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_grouping__plan0_optimized.sql new file mode 100644 index 0000000000..0fe5d6b65d --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_grouping__plan0_optimized.sql @@ -0,0 +1,81 @@ +-- Join on MAX(ds) and ['user'] grouping by None +SELECT + subq_3.ds__day AS ds__day + , subq_3.ds__week AS ds__week + , subq_3.ds__month AS ds__month + , subq_3.ds__quarter AS ds__quarter + , subq_3.ds__year AS ds__year + , subq_3.ds__extract_year AS ds__extract_year + , subq_3.ds__extract_quarter AS ds__extract_quarter + , subq_3.ds__extract_month AS ds__extract_month + , subq_3.ds__extract_day AS ds__extract_day + , subq_3.ds__extract_dow AS ds__extract_dow + , subq_3.ds__extract_doy AS ds__extract_doy + , subq_3.account__ds__day AS account__ds__day + , subq_3.account__ds__week AS account__ds__week + , subq_3.account__ds__month AS account__ds__month + , subq_3.account__ds__quarter AS account__ds__quarter + , subq_3.account__ds__year AS account__ds__year + , subq_3.account__ds__extract_year AS account__ds__extract_year + , subq_3.account__ds__extract_quarter AS account__ds__extract_quarter + , subq_3.account__ds__extract_month AS account__ds__extract_month + , subq_3.account__ds__extract_day AS account__ds__extract_day + , subq_3.account__ds__extract_dow AS account__ds__extract_dow + , subq_3.account__ds__extract_doy AS account__ds__extract_doy + , subq_3.user AS user + , subq_3.account__user AS account__user + , subq_3.account_type AS account_type + , subq_3.account__account_type AS account__account_type + , subq_3.account_balance AS account_balance + , subq_3.total_account_balance_first_day AS total_account_balance_first_day + , subq_3.current_account_balance_by_user AS current_account_balance_by_user +FROM ( + -- Read Elements From Semantic Model 'accounts_source' + SELECT + account_balance + , account_balance AS total_account_balance_first_day + , account_balance AS current_account_balance_by_user + , DATE_TRUNC('day', ds) AS ds__day + , DATE_TRUNC('week', ds) AS ds__week + , DATE_TRUNC('month', ds) AS ds__month + , DATE_TRUNC('quarter', ds) AS ds__quarter + , DATE_TRUNC('year', ds) AS ds__year + , EXTRACT(year FROM ds) AS ds__extract_year + , EXTRACT(quarter FROM ds) AS ds__extract_quarter + , EXTRACT(month FROM ds) AS ds__extract_month + , EXTRACT(day FROM ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS ds__extract_dow + , EXTRACT(doy FROM ds) AS ds__extract_doy + , account_type + , DATE_TRUNC('day', ds) AS account__ds__day + , DATE_TRUNC('week', ds) AS account__ds__week + , DATE_TRUNC('month', ds) AS account__ds__month + , DATE_TRUNC('quarter', ds) AS account__ds__quarter + , DATE_TRUNC('year', ds) AS account__ds__year + , EXTRACT(year FROM ds) AS account__ds__extract_year + , EXTRACT(quarter FROM ds) AS account__ds__extract_quarter + , EXTRACT(month FROM ds) AS account__ds__extract_month + , EXTRACT(day FROM ds) AS account__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS account__ds__extract_dow + , EXTRACT(doy FROM ds) AS account__ds__extract_doy + , account_type AS account__account_type + , user_id AS user + , user_id AS account__user + FROM ***************************.fct_accounts accounts_source_src_10000 +) subq_3 +INNER JOIN ( + -- Read Elements From Semantic Model 'accounts_source' + -- Filter row on MAX(ds__day) + SELECT + user_id AS user + , MAX(DATE_TRUNC('day', ds)) AS ds__day__complete + FROM ***************************.fct_accounts accounts_source_src_10000 + GROUP BY + user_id +) subq_5 +ON + ( + subq_3.ds__day = subq_5.ds__day__complete + ) AND ( + subq_3.user = subq_5.user + ) diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_queried_group_by__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_queried_group_by__plan0.sql new file mode 100644 index 0000000000..4cd48b4c62 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_queried_group_by__plan0.sql @@ -0,0 +1,109 @@ +-- Join on MIN(ds) and [] grouping by ds +SELECT + subq_0.ds__day AS ds__day + , subq_0.ds__week AS ds__week + , subq_0.ds__month AS ds__month + , subq_0.ds__quarter AS ds__quarter + , subq_0.ds__year AS ds__year + , subq_0.ds__extract_year AS ds__extract_year + , subq_0.ds__extract_quarter AS ds__extract_quarter + , subq_0.ds__extract_month AS ds__extract_month + , subq_0.ds__extract_day AS ds__extract_day + , subq_0.ds__extract_dow AS ds__extract_dow + , subq_0.ds__extract_doy AS ds__extract_doy + , subq_0.account__ds__day AS account__ds__day + , subq_0.account__ds__week AS account__ds__week + , subq_0.account__ds__month AS account__ds__month + , subq_0.account__ds__quarter AS account__ds__quarter + , subq_0.account__ds__year AS account__ds__year + , subq_0.account__ds__extract_year AS account__ds__extract_year + , subq_0.account__ds__extract_quarter AS account__ds__extract_quarter + , subq_0.account__ds__extract_month AS account__ds__extract_month + , subq_0.account__ds__extract_day AS account__ds__extract_day + , subq_0.account__ds__extract_dow AS account__ds__extract_dow + , subq_0.account__ds__extract_doy AS account__ds__extract_doy + , subq_0.user AS user + , subq_0.account__user AS account__user + , subq_0.account_type AS account_type + , subq_0.account__account_type AS account__account_type + , subq_0.account_balance AS account_balance + , subq_0.total_account_balance_first_day AS total_account_balance_first_day + , subq_0.current_account_balance_by_user AS current_account_balance_by_user +FROM ( + -- Read Elements From Semantic Model 'accounts_source' + SELECT + accounts_source_src_10000.account_balance + , accounts_source_src_10000.account_balance AS total_account_balance_first_day + , accounts_source_src_10000.account_balance AS current_account_balance_by_user + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS ds__extract_doy + , accounts_source_src_10000.account_type + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS account__ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS account__ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS account__ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS account__ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS account__ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS account__ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS account__ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS account__ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS account__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS account__ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS account__ds__extract_doy + , accounts_source_src_10000.account_type AS account__account_type + , accounts_source_src_10000.user_id AS user + , accounts_source_src_10000.user_id AS account__user + FROM ***************************.fct_accounts accounts_source_src_10000 +) subq_0 +INNER JOIN ( + -- Filter row on MIN(ds__day) + SELECT + subq_1.ds__week + , MIN(subq_1.ds__day) AS ds__day__complete + FROM ( + -- Read Elements From Semantic Model 'accounts_source' + SELECT + accounts_source_src_10000.account_balance + , accounts_source_src_10000.account_balance AS total_account_balance_first_day + , accounts_source_src_10000.account_balance AS current_account_balance_by_user + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS ds__extract_doy + , accounts_source_src_10000.account_type + , DATE_TRUNC('day', accounts_source_src_10000.ds) AS account__ds__day + , DATE_TRUNC('week', accounts_source_src_10000.ds) AS account__ds__week + , DATE_TRUNC('month', accounts_source_src_10000.ds) AS account__ds__month + , DATE_TRUNC('quarter', accounts_source_src_10000.ds) AS account__ds__quarter + , DATE_TRUNC('year', accounts_source_src_10000.ds) AS account__ds__year + , EXTRACT(year FROM accounts_source_src_10000.ds) AS account__ds__extract_year + , EXTRACT(quarter FROM accounts_source_src_10000.ds) AS account__ds__extract_quarter + , EXTRACT(month FROM accounts_source_src_10000.ds) AS account__ds__extract_month + , EXTRACT(day FROM accounts_source_src_10000.ds) AS account__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM accounts_source_src_10000.ds) AS account__ds__extract_dow + , EXTRACT(doy FROM accounts_source_src_10000.ds) AS account__ds__extract_doy + , accounts_source_src_10000.account_type AS account__account_type + , accounts_source_src_10000.user_id AS user + , accounts_source_src_10000.user_id AS account__user + FROM ***************************.fct_accounts accounts_source_src_10000 + ) subq_1 + GROUP BY + subq_1.ds__week +) subq_2 +ON + subq_0.ds__day = subq_2.ds__day__complete diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_queried_group_by__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_queried_group_by__plan0_optimized.sql new file mode 100644 index 0000000000..2b23979547 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_semi_additive_join_node_with_queried_group_by__plan0_optimized.sql @@ -0,0 +1,77 @@ +-- Join on MIN(ds) and [] grouping by ds +SELECT + subq_3.ds__day AS ds__day + , subq_3.ds__week AS ds__week + , subq_3.ds__month AS ds__month + , subq_3.ds__quarter AS ds__quarter + , subq_3.ds__year AS ds__year + , subq_3.ds__extract_year AS ds__extract_year + , subq_3.ds__extract_quarter AS ds__extract_quarter + , subq_3.ds__extract_month AS ds__extract_month + , subq_3.ds__extract_day AS ds__extract_day + , subq_3.ds__extract_dow AS ds__extract_dow + , subq_3.ds__extract_doy AS ds__extract_doy + , subq_3.account__ds__day AS account__ds__day + , subq_3.account__ds__week AS account__ds__week + , subq_3.account__ds__month AS account__ds__month + , subq_3.account__ds__quarter AS account__ds__quarter + , subq_3.account__ds__year AS account__ds__year + , subq_3.account__ds__extract_year AS account__ds__extract_year + , subq_3.account__ds__extract_quarter AS account__ds__extract_quarter + , subq_3.account__ds__extract_month AS account__ds__extract_month + , subq_3.account__ds__extract_day AS account__ds__extract_day + , subq_3.account__ds__extract_dow AS account__ds__extract_dow + , subq_3.account__ds__extract_doy AS account__ds__extract_doy + , subq_3.user AS user + , subq_3.account__user AS account__user + , subq_3.account_type AS account_type + , subq_3.account__account_type AS account__account_type + , subq_3.account_balance AS account_balance + , subq_3.total_account_balance_first_day AS total_account_balance_first_day + , subq_3.current_account_balance_by_user AS current_account_balance_by_user +FROM ( + -- Read Elements From Semantic Model 'accounts_source' + SELECT + account_balance + , account_balance AS total_account_balance_first_day + , account_balance AS current_account_balance_by_user + , DATE_TRUNC('day', ds) AS ds__day + , DATE_TRUNC('week', ds) AS ds__week + , DATE_TRUNC('month', ds) AS ds__month + , DATE_TRUNC('quarter', ds) AS ds__quarter + , DATE_TRUNC('year', ds) AS ds__year + , EXTRACT(year FROM ds) AS ds__extract_year + , EXTRACT(quarter FROM ds) AS ds__extract_quarter + , EXTRACT(month FROM ds) AS ds__extract_month + , EXTRACT(day FROM ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS ds__extract_dow + , EXTRACT(doy FROM ds) AS ds__extract_doy + , account_type + , DATE_TRUNC('day', ds) AS account__ds__day + , DATE_TRUNC('week', ds) AS account__ds__week + , DATE_TRUNC('month', ds) AS account__ds__month + , DATE_TRUNC('quarter', ds) AS account__ds__quarter + , DATE_TRUNC('year', ds) AS account__ds__year + , EXTRACT(year FROM ds) AS account__ds__extract_year + , EXTRACT(quarter FROM ds) AS account__ds__extract_quarter + , EXTRACT(month FROM ds) AS account__ds__extract_month + , EXTRACT(day FROM ds) AS account__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS account__ds__extract_dow + , EXTRACT(doy FROM ds) AS account__ds__extract_doy + , account_type AS account__account_type + , user_id AS user + , user_id AS account__user + FROM ***************************.fct_accounts accounts_source_src_10000 +) subq_3 +INNER JOIN ( + -- Read Elements From Semantic Model 'accounts_source' + -- Filter row on MIN(ds__day) + SELECT + DATE_TRUNC('week', ds) AS ds__week + , MIN(DATE_TRUNC('day', ds)) AS ds__day__complete + FROM ***************************.fct_accounts accounts_source_src_10000 + GROUP BY + DATE_TRUNC('week', ds) +) subq_5 +ON + subq_3.ds__day = subq_5.ds__day__complete diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_single_join_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_single_join_node__plan0.sql new file mode 100644 index 0000000000..9d596e7b4b --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_single_join_node__plan0.sql @@ -0,0 +1,174 @@ +-- Join Standard Outputs +SELECT + subq_1.listing AS listing + , subq_1.bookings AS bookings +FROM ( + -- Pass Only Elements: + -- ['bookings', 'listing'] + SELECT + subq_0.listing + , subq_0.bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 +) subq_1 +LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['listing__country_latest', 'listing'] + SELECT + subq_2.listing + , subq_2.listing__country_latest + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_2 +) subq_3 +ON + subq_1.listing = subq_3.listing diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_single_join_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_single_join_node__plan0_optimized.sql new file mode 100644 index 0000000000..9202940446 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_single_join_node__plan0_optimized.sql @@ -0,0 +1,17 @@ +-- Join Standard Outputs +SELECT + subq_5.listing AS listing + , subq_5.bookings AS bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Pass Only Elements: + -- ['bookings', 'listing'] + SELECT + listing_id AS listing + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_5 +LEFT OUTER JOIN + ***************************.dim_listings_latest listings_latest_src_10005 +ON + subq_5.listing = listings_latest_src_10005.listing_id diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_source_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_source_node__plan0.sql new file mode 100644 index 0000000000..d04bcf5afc --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_source_node__plan0.sql @@ -0,0 +1,91 @@ +-- Read Elements From Semantic Model 'bookings_source' +SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host +FROM ***************************.fct_bookings bookings_source_src_10001 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_source_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_source_node__plan0_optimized.sql new file mode 100644 index 0000000000..433a78e339 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Trino/test_source_node__plan0_optimized.sql @@ -0,0 +1,91 @@ +-- Read Elements From Semantic Model 'bookings_source' +SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , booking_value + , booking_value AS max_booking_value + , booking_value AS min_booking_value + , guest_id AS bookers + , booking_value AS average_booking_value + , booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , booking_value AS median_booking_value + , booking_value AS booking_value_p99 + , booking_value AS discrete_booking_value_p99 + , booking_value AS approximate_continuous_booking_value_p99 + , booking_value AS approximate_discrete_booking_value_p99 + , is_instant + , DATE_TRUNC('day', ds) AS ds__day + , DATE_TRUNC('week', ds) AS ds__week + , DATE_TRUNC('month', ds) AS ds__month + , DATE_TRUNC('quarter', ds) AS ds__quarter + , DATE_TRUNC('year', ds) AS ds__year + , EXTRACT(year FROM ds) AS ds__extract_year + , EXTRACT(quarter FROM ds) AS ds__extract_quarter + , EXTRACT(month FROM ds) AS ds__extract_month + , EXTRACT(day FROM ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS ds__extract_dow + , EXTRACT(doy FROM ds) AS ds__extract_doy + , DATE_TRUNC('day', ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', paid_at) AS paid_at__day + , DATE_TRUNC('week', paid_at) AS paid_at__week + , DATE_TRUNC('month', paid_at) AS paid_at__month + , DATE_TRUNC('quarter', paid_at) AS paid_at__quarter + , DATE_TRUNC('year', paid_at) AS paid_at__year + , EXTRACT(year FROM paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM paid_at) AS paid_at__extract_month + , EXTRACT(day FROM paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM paid_at) AS paid_at__extract_doy + , is_instant AS booking__is_instant + , DATE_TRUNC('day', ds) AS booking__ds__day + , DATE_TRUNC('week', ds) AS booking__ds__week + , DATE_TRUNC('month', ds) AS booking__ds__month + , DATE_TRUNC('quarter', ds) AS booking__ds__quarter + , DATE_TRUNC('year', ds) AS booking__ds__year + , EXTRACT(year FROM ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM ds) AS booking__ds__extract_month + , EXTRACT(day FROM ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', paid_at) AS booking__paid_at__year + , EXTRACT(year FROM paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM paid_at) AS booking__paid_at__extract_doy + , listing_id AS listing + , guest_id AS guest + , host_id AS host + , listing_id AS booking__listing + , guest_id AS booking__guest + , host_id AS booking__host +FROM ***************************.fct_bookings bookings_source_src_10001 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql new file mode 100644 index 0000000000..f60fe55ef8 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0.sql @@ -0,0 +1,442 @@ +-- Compute Metrics via Expressions +SELECT + subq_11.metric_time__day + , every_2_days_bookers_2_days_ago AS every_2_days_bookers_2_days_ago +FROM ( + -- Compute Metrics via Expressions + SELECT + subq_10.metric_time__day + , subq_10.bookers AS every_2_days_bookers_2_days_ago + FROM ( + -- Aggregate Measures + SELECT + subq_9.metric_time__day + , COUNT(DISTINCT subq_9.bookers) AS bookers + FROM ( + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] + SELECT + subq_8.metric_time__day + , subq_8.bookers + FROM ( + -- Pass Only Elements: + -- ['bookers', 'metric_time__day'] + SELECT + subq_7.metric_time__day + , subq_7.bookers + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_5.metric_time__day AS metric_time__day + , subq_4.ds__day AS ds__day + , subq_4.ds__week AS ds__week + , subq_4.ds__month AS ds__month + , subq_4.ds__quarter AS ds__quarter + , subq_4.ds__year AS ds__year + , subq_4.ds__extract_year AS ds__extract_year + , subq_4.ds__extract_quarter AS ds__extract_quarter + , subq_4.ds__extract_month AS ds__extract_month + , subq_4.ds__extract_day AS ds__extract_day + , subq_4.ds__extract_dow AS ds__extract_dow + , subq_4.ds__extract_doy AS ds__extract_doy + , subq_4.ds_partitioned__day AS ds_partitioned__day + , subq_4.ds_partitioned__week AS ds_partitioned__week + , subq_4.ds_partitioned__month AS ds_partitioned__month + , subq_4.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_4.ds_partitioned__year AS ds_partitioned__year + , subq_4.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_4.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_4.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_4.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_4.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_4.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_4.paid_at__day AS paid_at__day + , subq_4.paid_at__week AS paid_at__week + , subq_4.paid_at__month AS paid_at__month + , subq_4.paid_at__quarter AS paid_at__quarter + , subq_4.paid_at__year AS paid_at__year + , subq_4.paid_at__extract_year AS paid_at__extract_year + , subq_4.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_4.paid_at__extract_month AS paid_at__extract_month + , subq_4.paid_at__extract_day AS paid_at__extract_day + , subq_4.paid_at__extract_dow AS paid_at__extract_dow + , subq_4.paid_at__extract_doy AS paid_at__extract_doy + , subq_4.booking__ds__day AS booking__ds__day + , subq_4.booking__ds__week AS booking__ds__week + , subq_4.booking__ds__month AS booking__ds__month + , subq_4.booking__ds__quarter AS booking__ds__quarter + , subq_4.booking__ds__year AS booking__ds__year + , subq_4.booking__ds__extract_year AS booking__ds__extract_year + , subq_4.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_4.booking__ds__extract_month AS booking__ds__extract_month + , subq_4.booking__ds__extract_day AS booking__ds__extract_day + , subq_4.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_4.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_4.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_4.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_4.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_4.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_4.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_4.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_4.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_4.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_4.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_4.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_4.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_4.booking__paid_at__day AS booking__paid_at__day + , subq_4.booking__paid_at__week AS booking__paid_at__week + , subq_4.booking__paid_at__month AS booking__paid_at__month + , subq_4.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_4.booking__paid_at__year AS booking__paid_at__year + , subq_4.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_4.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_4.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_4.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_4.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_4.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_4.listing AS listing + , subq_4.guest AS guest + , subq_4.host AS host + , subq_4.booking__listing AS booking__listing + , subq_4.booking__guest AS booking__guest + , subq_4.booking__host AS booking__host + , subq_4.is_instant AS is_instant + , subq_4.booking__is_instant AS booking__is_instant + , subq_4.bookings AS bookings + , subq_4.instant_bookings AS instant_bookings + , subq_4.booking_value AS booking_value + , subq_4.max_booking_value AS max_booking_value + , subq_4.min_booking_value AS min_booking_value + , subq_4.bookers AS bookers + , subq_4.average_booking_value AS average_booking_value + , subq_4.referred_bookings AS referred_bookings + , subq_4.median_booking_value AS median_booking_value + , subq_4.booking_value_p99 AS booking_value_p99 + , subq_4.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_4.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_4.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_6.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_6 + WHERE subq_6.ds BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' + ) subq_5 + INNER JOIN ( + -- Join Self Over Time Range + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + ( + subq_1.metric_time__day <= subq_2.metric_time__day + ) AND ( + subq_1.metric_time__day > DATE_ADD('day', -2, subq_2.metric_time__day) + ) + ) subq_4 + ON + DATE_ADD('day', -2, subq_5.metric_time__day) = subq_4.metric_time__day + ) subq_7 + ) subq_8 + WHERE subq_8.metric_time__day BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' + ) subq_9 + GROUP BY + subq_9.metric_time__day + ) subq_10 +) subq_11 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql new file mode 100644 index 0000000000..2d70867cb1 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_cumulative_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -0,0 +1,42 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , every_2_days_bookers_2_days_ago AS every_2_days_bookers_2_days_ago +FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookers', 'metric_time__day'] + -- Constrain Time Range to [2019-12-19T00:00:00, 2020-01-02T00:00:00] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_17.metric_time__day AS metric_time__day + , COUNT(DISTINCT subq_16.bookers) AS every_2_days_bookers_2_days_ago + FROM ( + -- Date Spine + SELECT + ds AS metric_time__day + FROM ***************************.mf_time_spine subq_18 + WHERE ds BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' + ) subq_17 + INNER JOIN ( + -- Join Self Over Time Range + SELECT + subq_15.ds AS metric_time__day + , bookings_source_src_10001.guest_id AS bookers + FROM ***************************.mf_time_spine subq_15 + INNER JOIN + ***************************.fct_bookings bookings_source_src_10001 + ON + ( + DATE_TRUNC('day', bookings_source_src_10001.ds) <= subq_15.ds + ) AND ( + DATE_TRUNC('day', bookings_source_src_10001.ds) > DATE_ADD('day', -2, subq_15.ds) + ) + ) subq_16 + ON + DATE_ADD('day', -2, subq_17.metric_time__day) = subq_16.metric_time__day + WHERE subq_17.metric_time__day BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' + GROUP BY + subq_17.metric_time__day +) subq_23 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric__plan0.sql new file mode 100644 index 0000000000..564d6e351d --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric__plan0.sql @@ -0,0 +1,447 @@ +-- Compute Metrics via Expressions +SELECT + subq_10.metric_time__day + , (bookings - ref_bookings) * 1.0 / bookings AS non_referred_bookings_pct +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_4.metric_time__day, subq_9.metric_time__day) AS metric_time__day + , MAX(subq_4.ref_bookings) AS ref_bookings + , MAX(subq_9.bookings) AS bookings + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__day + , subq_3.referred_bookings AS ref_bookings + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , SUM(subq_2.referred_bookings) AS referred_bookings + FROM ( + -- Pass Only Elements: + -- ['referred_bookings', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.referred_bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + ) subq_3 + ) subq_4 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_8.metric_time__day + , subq_8.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_7.metric_time__day + , SUM(subq_7.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_6.metric_time__day + , subq_6.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_5.ds__day + , subq_5.ds__week + , subq_5.ds__month + , subq_5.ds__quarter + , subq_5.ds__year + , subq_5.ds__extract_year + , subq_5.ds__extract_quarter + , subq_5.ds__extract_month + , subq_5.ds__extract_day + , subq_5.ds__extract_dow + , subq_5.ds__extract_doy + , subq_5.ds_partitioned__day + , subq_5.ds_partitioned__week + , subq_5.ds_partitioned__month + , subq_5.ds_partitioned__quarter + , subq_5.ds_partitioned__year + , subq_5.ds_partitioned__extract_year + , subq_5.ds_partitioned__extract_quarter + , subq_5.ds_partitioned__extract_month + , subq_5.ds_partitioned__extract_day + , subq_5.ds_partitioned__extract_dow + , subq_5.ds_partitioned__extract_doy + , subq_5.paid_at__day + , subq_5.paid_at__week + , subq_5.paid_at__month + , subq_5.paid_at__quarter + , subq_5.paid_at__year + , subq_5.paid_at__extract_year + , subq_5.paid_at__extract_quarter + , subq_5.paid_at__extract_month + , subq_5.paid_at__extract_day + , subq_5.paid_at__extract_dow + , subq_5.paid_at__extract_doy + , subq_5.booking__ds__day + , subq_5.booking__ds__week + , subq_5.booking__ds__month + , subq_5.booking__ds__quarter + , subq_5.booking__ds__year + , subq_5.booking__ds__extract_year + , subq_5.booking__ds__extract_quarter + , subq_5.booking__ds__extract_month + , subq_5.booking__ds__extract_day + , subq_5.booking__ds__extract_dow + , subq_5.booking__ds__extract_doy + , subq_5.booking__ds_partitioned__day + , subq_5.booking__ds_partitioned__week + , subq_5.booking__ds_partitioned__month + , subq_5.booking__ds_partitioned__quarter + , subq_5.booking__ds_partitioned__year + , subq_5.booking__ds_partitioned__extract_year + , subq_5.booking__ds_partitioned__extract_quarter + , subq_5.booking__ds_partitioned__extract_month + , subq_5.booking__ds_partitioned__extract_day + , subq_5.booking__ds_partitioned__extract_dow + , subq_5.booking__ds_partitioned__extract_doy + , subq_5.booking__paid_at__day + , subq_5.booking__paid_at__week + , subq_5.booking__paid_at__month + , subq_5.booking__paid_at__quarter + , subq_5.booking__paid_at__year + , subq_5.booking__paid_at__extract_year + , subq_5.booking__paid_at__extract_quarter + , subq_5.booking__paid_at__extract_month + , subq_5.booking__paid_at__extract_day + , subq_5.booking__paid_at__extract_dow + , subq_5.booking__paid_at__extract_doy + , subq_5.ds__day AS metric_time__day + , subq_5.ds__week AS metric_time__week + , subq_5.ds__month AS metric_time__month + , subq_5.ds__quarter AS metric_time__quarter + , subq_5.ds__year AS metric_time__year + , subq_5.ds__extract_year AS metric_time__extract_year + , subq_5.ds__extract_quarter AS metric_time__extract_quarter + , subq_5.ds__extract_month AS metric_time__extract_month + , subq_5.ds__extract_day AS metric_time__extract_day + , subq_5.ds__extract_dow AS metric_time__extract_dow + , subq_5.ds__extract_doy AS metric_time__extract_doy + , subq_5.listing + , subq_5.guest + , subq_5.host + , subq_5.booking__listing + , subq_5.booking__guest + , subq_5.booking__host + , subq_5.is_instant + , subq_5.booking__is_instant + , subq_5.bookings + , subq_5.instant_bookings + , subq_5.booking_value + , subq_5.max_booking_value + , subq_5.min_booking_value + , subq_5.bookers + , subq_5.average_booking_value + , subq_5.referred_bookings + , subq_5.median_booking_value + , subq_5.booking_value_p99 + , subq_5.discrete_booking_value_p99 + , subq_5.approximate_continuous_booking_value_p99 + , subq_5.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_5 + ) subq_6 + ) subq_7 + GROUP BY + subq_7.metric_time__day + ) subq_8 + ) subq_9 + ON + subq_4.metric_time__day = subq_9.metric_time__day + GROUP BY + COALESCE(subq_4.metric_time__day, subq_9.metric_time__day) +) subq_10 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric__plan0_optimized.sql new file mode 100644 index 0000000000..b3e757c0c6 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric__plan0_optimized.sql @@ -0,0 +1,53 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , (bookings - ref_bookings) * 1.0 / bookings AS non_referred_bookings_pct +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_15.metric_time__day, subq_20.metric_time__day) AS metric_time__day + , MAX(subq_15.ref_bookings) AS ref_bookings + , MAX(subq_20.bookings) AS bookings + FROM ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(referred_bookings) AS ref_bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['referred_bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_13 + GROUP BY + metric_time__day + ) subq_15 + FULL OUTER JOIN ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_18 + GROUP BY + metric_time__day + ) subq_20 + ON + subq_15.metric_time__day = subq_20.metric_time__day + GROUP BY + COALESCE(subq_15.metric_time__day, subq_20.metric_time__day) +) subq_21 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_month_dimension_and_offset_window__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_month_dimension_and_offset_window__plan0.sql new file mode 100644 index 0000000000..6823712051 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_month_dimension_and_offset_window__plan0.sql @@ -0,0 +1,100 @@ +-- Compute Metrics via Expressions +SELECT + subq_7.metric_time__month + , bookings_last_month AS bookings_last_month +FROM ( + -- Compute Metrics via Expressions + SELECT + subq_6.metric_time__month + , subq_6.bookings_monthly AS bookings_last_month + FROM ( + -- Aggregate Measures + SELECT + subq_5.metric_time__month + , SUM(subq_5.bookings_monthly) AS bookings_monthly + FROM ( + -- Pass Only Elements: + -- ['bookings_monthly', 'metric_time__month'] + SELECT + subq_4.metric_time__month + , subq_4.bookings_monthly + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_2.metric_time__month AS metric_time__month + , subq_1.monthly_ds__month AS monthly_ds__month + , subq_1.monthly_ds__quarter AS monthly_ds__quarter + , subq_1.monthly_ds__year AS monthly_ds__year + , subq_1.monthly_ds__extract_year AS monthly_ds__extract_year + , subq_1.monthly_ds__extract_quarter AS monthly_ds__extract_quarter + , subq_1.monthly_ds__extract_month AS monthly_ds__extract_month + , subq_1.booking__monthly_ds__month AS booking__monthly_ds__month + , subq_1.booking__monthly_ds__quarter AS booking__monthly_ds__quarter + , subq_1.booking__monthly_ds__year AS booking__monthly_ds__year + , subq_1.booking__monthly_ds__extract_year AS booking__monthly_ds__extract_year + , subq_1.booking__monthly_ds__extract_quarter AS booking__monthly_ds__extract_quarter + , subq_1.booking__monthly_ds__extract_month AS booking__monthly_ds__extract_month + , subq_1.listing AS listing + , subq_1.booking__listing AS booking__listing + , subq_1.bookings_monthly AS bookings_monthly + FROM ( + -- Date Spine + SELECT + DATE_TRUNC('month', subq_3.ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_3 + GROUP BY + DATE_TRUNC('month', subq_3.ds) + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'monthly_ds' + SELECT + subq_0.monthly_ds__month + , subq_0.monthly_ds__quarter + , subq_0.monthly_ds__year + , subq_0.monthly_ds__extract_year + , subq_0.monthly_ds__extract_quarter + , subq_0.monthly_ds__extract_month + , subq_0.booking__monthly_ds__month + , subq_0.booking__monthly_ds__quarter + , subq_0.booking__monthly_ds__year + , subq_0.booking__monthly_ds__extract_year + , subq_0.booking__monthly_ds__extract_quarter + , subq_0.booking__monthly_ds__extract_month + , subq_0.monthly_ds__month AS metric_time__month + , subq_0.monthly_ds__quarter AS metric_time__quarter + , subq_0.monthly_ds__year AS metric_time__year + , subq_0.monthly_ds__extract_year AS metric_time__extract_year + , subq_0.monthly_ds__extract_quarter AS metric_time__extract_quarter + , subq_0.monthly_ds__extract_month AS metric_time__extract_month + , subq_0.listing + , subq_0.booking__listing + , subq_0.bookings_monthly + FROM ( + -- Read Elements From Semantic Model 'bookings_monthly_source' + SELECT + bookings_monthly_source_src_10026.bookings_monthly + , DATE_TRUNC('month', bookings_monthly_source_src_10026.ds) AS monthly_ds__month + , DATE_TRUNC('quarter', bookings_monthly_source_src_10026.ds) AS monthly_ds__quarter + , DATE_TRUNC('year', bookings_monthly_source_src_10026.ds) AS monthly_ds__year + , EXTRACT(year FROM bookings_monthly_source_src_10026.ds) AS monthly_ds__extract_year + , EXTRACT(quarter FROM bookings_monthly_source_src_10026.ds) AS monthly_ds__extract_quarter + , EXTRACT(month FROM bookings_monthly_source_src_10026.ds) AS monthly_ds__extract_month + , DATE_TRUNC('month', bookings_monthly_source_src_10026.ds) AS booking__monthly_ds__month + , DATE_TRUNC('quarter', bookings_monthly_source_src_10026.ds) AS booking__monthly_ds__quarter + , DATE_TRUNC('year', bookings_monthly_source_src_10026.ds) AS booking__monthly_ds__year + , EXTRACT(year FROM bookings_monthly_source_src_10026.ds) AS booking__monthly_ds__extract_year + , EXTRACT(quarter FROM bookings_monthly_source_src_10026.ds) AS booking__monthly_ds__extract_quarter + , EXTRACT(month FROM bookings_monthly_source_src_10026.ds) AS booking__monthly_ds__extract_month + , bookings_monthly_source_src_10026.listing_id AS listing + , bookings_monthly_source_src_10026.listing_id AS booking__listing + FROM ***************************.fct_bookings_extended_monthly bookings_monthly_source_src_10026 + ) subq_0 + ) subq_1 + ON + DATE_ADD('month', -1, subq_2.metric_time__month) = subq_1.metric_time__month + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__month + ) subq_6 +) subq_7 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_month_dimension_and_offset_window__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_month_dimension_and_offset_window__plan0_optimized.sql new file mode 100644 index 0000000000..583a06e6b4 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_month_dimension_and_offset_window__plan0_optimized.sql @@ -0,0 +1,28 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__month + , bookings_last_month AS bookings_last_month +FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings_monthly', 'metric_time__month'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_10.metric_time__month AS metric_time__month + , SUM(bookings_monthly_source_src_10026.bookings_monthly) AS bookings_last_month + FROM ( + -- Date Spine + SELECT + DATE_TRUNC('month', ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_11 + GROUP BY + DATE_TRUNC('month', ds) + ) subq_10 + INNER JOIN + ***************************.fct_bookings_extended_monthly bookings_monthly_source_src_10026 + ON + DATE_ADD('month', -1, subq_10.metric_time__month) = DATE_TRUNC('month', bookings_monthly_source_src_10026.ds) + GROUP BY + subq_10.metric_time__month +) subq_15 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain__plan0.sql new file mode 100644 index 0000000000..17e672d736 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain__plan0.sql @@ -0,0 +1,547 @@ +-- Compute Metrics via Expressions +SELECT + subq_13.metric_time__day + , bookings - bookings_at_start_of_month AS bookings_growth_since_start_of_month +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_4.metric_time__day, subq_12.metric_time__day) AS metric_time__day + , MAX(subq_4.bookings) AS bookings + , MAX(subq_12.bookings_at_start_of_month) AS bookings_at_start_of_month + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__day + , subq_3.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + ) subq_3 + ) subq_4 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_11.metric_time__day + , subq_11.bookings AS bookings_at_start_of_month + FROM ( + -- Aggregate Measures + SELECT + subq_10.metric_time__day + , SUM(subq_10.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_9.metric_time__day + , subq_9.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_7.metric_time__day AS metric_time__day + , subq_6.ds__day AS ds__day + , subq_6.ds__week AS ds__week + , subq_6.ds__month AS ds__month + , subq_6.ds__quarter AS ds__quarter + , subq_6.ds__year AS ds__year + , subq_6.ds__extract_year AS ds__extract_year + , subq_6.ds__extract_quarter AS ds__extract_quarter + , subq_6.ds__extract_month AS ds__extract_month + , subq_6.ds__extract_day AS ds__extract_day + , subq_6.ds__extract_dow AS ds__extract_dow + , subq_6.ds__extract_doy AS ds__extract_doy + , subq_6.ds_partitioned__day AS ds_partitioned__day + , subq_6.ds_partitioned__week AS ds_partitioned__week + , subq_6.ds_partitioned__month AS ds_partitioned__month + , subq_6.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_6.ds_partitioned__year AS ds_partitioned__year + , subq_6.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_6.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_6.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_6.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_6.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_6.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_6.paid_at__day AS paid_at__day + , subq_6.paid_at__week AS paid_at__week + , subq_6.paid_at__month AS paid_at__month + , subq_6.paid_at__quarter AS paid_at__quarter + , subq_6.paid_at__year AS paid_at__year + , subq_6.paid_at__extract_year AS paid_at__extract_year + , subq_6.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_6.paid_at__extract_month AS paid_at__extract_month + , subq_6.paid_at__extract_day AS paid_at__extract_day + , subq_6.paid_at__extract_dow AS paid_at__extract_dow + , subq_6.paid_at__extract_doy AS paid_at__extract_doy + , subq_6.booking__ds__day AS booking__ds__day + , subq_6.booking__ds__week AS booking__ds__week + , subq_6.booking__ds__month AS booking__ds__month + , subq_6.booking__ds__quarter AS booking__ds__quarter + , subq_6.booking__ds__year AS booking__ds__year + , subq_6.booking__ds__extract_year AS booking__ds__extract_year + , subq_6.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_6.booking__ds__extract_month AS booking__ds__extract_month + , subq_6.booking__ds__extract_day AS booking__ds__extract_day + , subq_6.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_6.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_6.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_6.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_6.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_6.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_6.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_6.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_6.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_6.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_6.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_6.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_6.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_6.booking__paid_at__day AS booking__paid_at__day + , subq_6.booking__paid_at__week AS booking__paid_at__week + , subq_6.booking__paid_at__month AS booking__paid_at__month + , subq_6.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_6.booking__paid_at__year AS booking__paid_at__year + , subq_6.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_6.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_6.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_6.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_6.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_6.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_6.listing AS listing + , subq_6.guest AS guest + , subq_6.host AS host + , subq_6.booking__listing AS booking__listing + , subq_6.booking__guest AS booking__guest + , subq_6.booking__host AS booking__host + , subq_6.is_instant AS is_instant + , subq_6.booking__is_instant AS booking__is_instant + , subq_6.bookings AS bookings + , subq_6.instant_bookings AS instant_bookings + , subq_6.booking_value AS booking_value + , subq_6.max_booking_value AS max_booking_value + , subq_6.min_booking_value AS min_booking_value + , subq_6.bookers AS bookers + , subq_6.average_booking_value AS average_booking_value + , subq_6.referred_bookings AS referred_bookings + , subq_6.median_booking_value AS median_booking_value + , subq_6.booking_value_p99 AS booking_value_p99 + , subq_6.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_6.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_6.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_8.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_8 + ) subq_7 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_5.ds__day + , subq_5.ds__week + , subq_5.ds__month + , subq_5.ds__quarter + , subq_5.ds__year + , subq_5.ds__extract_year + , subq_5.ds__extract_quarter + , subq_5.ds__extract_month + , subq_5.ds__extract_day + , subq_5.ds__extract_dow + , subq_5.ds__extract_doy + , subq_5.ds_partitioned__day + , subq_5.ds_partitioned__week + , subq_5.ds_partitioned__month + , subq_5.ds_partitioned__quarter + , subq_5.ds_partitioned__year + , subq_5.ds_partitioned__extract_year + , subq_5.ds_partitioned__extract_quarter + , subq_5.ds_partitioned__extract_month + , subq_5.ds_partitioned__extract_day + , subq_5.ds_partitioned__extract_dow + , subq_5.ds_partitioned__extract_doy + , subq_5.paid_at__day + , subq_5.paid_at__week + , subq_5.paid_at__month + , subq_5.paid_at__quarter + , subq_5.paid_at__year + , subq_5.paid_at__extract_year + , subq_5.paid_at__extract_quarter + , subq_5.paid_at__extract_month + , subq_5.paid_at__extract_day + , subq_5.paid_at__extract_dow + , subq_5.paid_at__extract_doy + , subq_5.booking__ds__day + , subq_5.booking__ds__week + , subq_5.booking__ds__month + , subq_5.booking__ds__quarter + , subq_5.booking__ds__year + , subq_5.booking__ds__extract_year + , subq_5.booking__ds__extract_quarter + , subq_5.booking__ds__extract_month + , subq_5.booking__ds__extract_day + , subq_5.booking__ds__extract_dow + , subq_5.booking__ds__extract_doy + , subq_5.booking__ds_partitioned__day + , subq_5.booking__ds_partitioned__week + , subq_5.booking__ds_partitioned__month + , subq_5.booking__ds_partitioned__quarter + , subq_5.booking__ds_partitioned__year + , subq_5.booking__ds_partitioned__extract_year + , subq_5.booking__ds_partitioned__extract_quarter + , subq_5.booking__ds_partitioned__extract_month + , subq_5.booking__ds_partitioned__extract_day + , subq_5.booking__ds_partitioned__extract_dow + , subq_5.booking__ds_partitioned__extract_doy + , subq_5.booking__paid_at__day + , subq_5.booking__paid_at__week + , subq_5.booking__paid_at__month + , subq_5.booking__paid_at__quarter + , subq_5.booking__paid_at__year + , subq_5.booking__paid_at__extract_year + , subq_5.booking__paid_at__extract_quarter + , subq_5.booking__paid_at__extract_month + , subq_5.booking__paid_at__extract_day + , subq_5.booking__paid_at__extract_dow + , subq_5.booking__paid_at__extract_doy + , subq_5.ds__day AS metric_time__day + , subq_5.ds__week AS metric_time__week + , subq_5.ds__month AS metric_time__month + , subq_5.ds__quarter AS metric_time__quarter + , subq_5.ds__year AS metric_time__year + , subq_5.ds__extract_year AS metric_time__extract_year + , subq_5.ds__extract_quarter AS metric_time__extract_quarter + , subq_5.ds__extract_month AS metric_time__extract_month + , subq_5.ds__extract_day AS metric_time__extract_day + , subq_5.ds__extract_dow AS metric_time__extract_dow + , subq_5.ds__extract_doy AS metric_time__extract_doy + , subq_5.listing + , subq_5.guest + , subq_5.host + , subq_5.booking__listing + , subq_5.booking__guest + , subq_5.booking__host + , subq_5.is_instant + , subq_5.booking__is_instant + , subq_5.bookings + , subq_5.instant_bookings + , subq_5.booking_value + , subq_5.max_booking_value + , subq_5.min_booking_value + , subq_5.bookers + , subq_5.average_booking_value + , subq_5.referred_bookings + , subq_5.median_booking_value + , subq_5.booking_value_p99 + , subq_5.discrete_booking_value_p99 + , subq_5.approximate_continuous_booking_value_p99 + , subq_5.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_5 + ) subq_6 + ON + DATE_TRUNC('month', subq_7.metric_time__day) = subq_6.metric_time__day + ) subq_9 + ) subq_10 + GROUP BY + subq_10.metric_time__day + ) subq_11 + ) subq_12 + ON + subq_4.metric_time__day = subq_12.metric_time__day + GROUP BY + COALESCE(subq_4.metric_time__day, subq_12.metric_time__day) +) subq_13 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain__plan0_optimized.sql new file mode 100644 index 0000000000..3763e526e9 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain__plan0_optimized.sql @@ -0,0 +1,57 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , bookings - bookings_at_start_of_month AS bookings_growth_since_start_of_month +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_18.metric_time__day, subq_26.metric_time__day) AS metric_time__day + , MAX(subq_18.bookings) AS bookings + , MAX(subq_26.bookings_at_start_of_month) AS bookings_at_start_of_month + FROM ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_16 + GROUP BY + metric_time__day + ) subq_18 + FULL OUTER JOIN ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_22.ds AS metric_time__day + , SUM(subq_20.bookings) AS bookings_at_start_of_month + FROM ***************************.mf_time_spine subq_22 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_20 + ON + DATE_TRUNC('month', subq_22.ds) = subq_20.metric_time__day + GROUP BY + subq_22.ds + ) subq_26 + ON + subq_18.metric_time__day = subq_26.metric_time__day + GROUP BY + COALESCE(subq_18.metric_time__day, subq_26.metric_time__day) +) subq_27 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain_and_granularity__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain_and_granularity__plan0.sql new file mode 100644 index 0000000000..bf6bf89e6c --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain_and_granularity__plan0.sql @@ -0,0 +1,548 @@ +-- Compute Metrics via Expressions +SELECT + subq_13.metric_time__week + , bookings - bookings_at_start_of_month AS bookings_growth_since_start_of_month +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_4.metric_time__week, subq_12.metric_time__week) AS metric_time__week + , MAX(subq_4.bookings) AS bookings + , MAX(subq_12.bookings_at_start_of_month) AS bookings_at_start_of_month + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__week + , subq_3.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__week + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__week'] + SELECT + subq_1.metric_time__week + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__week + ) subq_3 + ) subq_4 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_11.metric_time__week + , subq_11.bookings AS bookings_at_start_of_month + FROM ( + -- Aggregate Measures + SELECT + subq_10.metric_time__week + , SUM(subq_10.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__week'] + SELECT + subq_9.metric_time__week + , subq_9.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + DATE_TRUNC('week', subq_7.metric_time__day) AS metric_time__week + , subq_6.ds__day AS ds__day + , subq_6.ds__week AS ds__week + , subq_6.ds__month AS ds__month + , subq_6.ds__quarter AS ds__quarter + , subq_6.ds__year AS ds__year + , subq_6.ds__extract_year AS ds__extract_year + , subq_6.ds__extract_quarter AS ds__extract_quarter + , subq_6.ds__extract_month AS ds__extract_month + , subq_6.ds__extract_day AS ds__extract_day + , subq_6.ds__extract_dow AS ds__extract_dow + , subq_6.ds__extract_doy AS ds__extract_doy + , subq_6.ds_partitioned__day AS ds_partitioned__day + , subq_6.ds_partitioned__week AS ds_partitioned__week + , subq_6.ds_partitioned__month AS ds_partitioned__month + , subq_6.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_6.ds_partitioned__year AS ds_partitioned__year + , subq_6.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_6.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_6.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_6.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_6.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_6.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_6.paid_at__day AS paid_at__day + , subq_6.paid_at__week AS paid_at__week + , subq_6.paid_at__month AS paid_at__month + , subq_6.paid_at__quarter AS paid_at__quarter + , subq_6.paid_at__year AS paid_at__year + , subq_6.paid_at__extract_year AS paid_at__extract_year + , subq_6.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_6.paid_at__extract_month AS paid_at__extract_month + , subq_6.paid_at__extract_day AS paid_at__extract_day + , subq_6.paid_at__extract_dow AS paid_at__extract_dow + , subq_6.paid_at__extract_doy AS paid_at__extract_doy + , subq_6.booking__ds__day AS booking__ds__day + , subq_6.booking__ds__week AS booking__ds__week + , subq_6.booking__ds__month AS booking__ds__month + , subq_6.booking__ds__quarter AS booking__ds__quarter + , subq_6.booking__ds__year AS booking__ds__year + , subq_6.booking__ds__extract_year AS booking__ds__extract_year + , subq_6.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_6.booking__ds__extract_month AS booking__ds__extract_month + , subq_6.booking__ds__extract_day AS booking__ds__extract_day + , subq_6.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_6.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_6.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_6.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_6.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_6.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_6.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_6.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_6.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_6.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_6.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_6.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_6.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_6.booking__paid_at__day AS booking__paid_at__day + , subq_6.booking__paid_at__week AS booking__paid_at__week + , subq_6.booking__paid_at__month AS booking__paid_at__month + , subq_6.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_6.booking__paid_at__year AS booking__paid_at__year + , subq_6.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_6.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_6.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_6.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_6.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_6.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_6.listing AS listing + , subq_6.guest AS guest + , subq_6.host AS host + , subq_6.booking__listing AS booking__listing + , subq_6.booking__guest AS booking__guest + , subq_6.booking__host AS booking__host + , subq_6.is_instant AS is_instant + , subq_6.booking__is_instant AS booking__is_instant + , subq_6.bookings AS bookings + , subq_6.instant_bookings AS instant_bookings + , subq_6.booking_value AS booking_value + , subq_6.max_booking_value AS max_booking_value + , subq_6.min_booking_value AS min_booking_value + , subq_6.bookers AS bookers + , subq_6.average_booking_value AS average_booking_value + , subq_6.referred_bookings AS referred_bookings + , subq_6.median_booking_value AS median_booking_value + , subq_6.booking_value_p99 AS booking_value_p99 + , subq_6.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_6.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_6.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_8.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_8 + ) subq_7 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_5.ds__day + , subq_5.ds__week + , subq_5.ds__month + , subq_5.ds__quarter + , subq_5.ds__year + , subq_5.ds__extract_year + , subq_5.ds__extract_quarter + , subq_5.ds__extract_month + , subq_5.ds__extract_day + , subq_5.ds__extract_dow + , subq_5.ds__extract_doy + , subq_5.ds_partitioned__day + , subq_5.ds_partitioned__week + , subq_5.ds_partitioned__month + , subq_5.ds_partitioned__quarter + , subq_5.ds_partitioned__year + , subq_5.ds_partitioned__extract_year + , subq_5.ds_partitioned__extract_quarter + , subq_5.ds_partitioned__extract_month + , subq_5.ds_partitioned__extract_day + , subq_5.ds_partitioned__extract_dow + , subq_5.ds_partitioned__extract_doy + , subq_5.paid_at__day + , subq_5.paid_at__week + , subq_5.paid_at__month + , subq_5.paid_at__quarter + , subq_5.paid_at__year + , subq_5.paid_at__extract_year + , subq_5.paid_at__extract_quarter + , subq_5.paid_at__extract_month + , subq_5.paid_at__extract_day + , subq_5.paid_at__extract_dow + , subq_5.paid_at__extract_doy + , subq_5.booking__ds__day + , subq_5.booking__ds__week + , subq_5.booking__ds__month + , subq_5.booking__ds__quarter + , subq_5.booking__ds__year + , subq_5.booking__ds__extract_year + , subq_5.booking__ds__extract_quarter + , subq_5.booking__ds__extract_month + , subq_5.booking__ds__extract_day + , subq_5.booking__ds__extract_dow + , subq_5.booking__ds__extract_doy + , subq_5.booking__ds_partitioned__day + , subq_5.booking__ds_partitioned__week + , subq_5.booking__ds_partitioned__month + , subq_5.booking__ds_partitioned__quarter + , subq_5.booking__ds_partitioned__year + , subq_5.booking__ds_partitioned__extract_year + , subq_5.booking__ds_partitioned__extract_quarter + , subq_5.booking__ds_partitioned__extract_month + , subq_5.booking__ds_partitioned__extract_day + , subq_5.booking__ds_partitioned__extract_dow + , subq_5.booking__ds_partitioned__extract_doy + , subq_5.booking__paid_at__day + , subq_5.booking__paid_at__week + , subq_5.booking__paid_at__month + , subq_5.booking__paid_at__quarter + , subq_5.booking__paid_at__year + , subq_5.booking__paid_at__extract_year + , subq_5.booking__paid_at__extract_quarter + , subq_5.booking__paid_at__extract_month + , subq_5.booking__paid_at__extract_day + , subq_5.booking__paid_at__extract_dow + , subq_5.booking__paid_at__extract_doy + , subq_5.ds__day AS metric_time__day + , subq_5.ds__week AS metric_time__week + , subq_5.ds__month AS metric_time__month + , subq_5.ds__quarter AS metric_time__quarter + , subq_5.ds__year AS metric_time__year + , subq_5.ds__extract_year AS metric_time__extract_year + , subq_5.ds__extract_quarter AS metric_time__extract_quarter + , subq_5.ds__extract_month AS metric_time__extract_month + , subq_5.ds__extract_day AS metric_time__extract_day + , subq_5.ds__extract_dow AS metric_time__extract_dow + , subq_5.ds__extract_doy AS metric_time__extract_doy + , subq_5.listing + , subq_5.guest + , subq_5.host + , subq_5.booking__listing + , subq_5.booking__guest + , subq_5.booking__host + , subq_5.is_instant + , subq_5.booking__is_instant + , subq_5.bookings + , subq_5.instant_bookings + , subq_5.booking_value + , subq_5.max_booking_value + , subq_5.min_booking_value + , subq_5.bookers + , subq_5.average_booking_value + , subq_5.referred_bookings + , subq_5.median_booking_value + , subq_5.booking_value_p99 + , subq_5.discrete_booking_value_p99 + , subq_5.approximate_continuous_booking_value_p99 + , subq_5.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_5 + ) subq_6 + ON + DATE_TRUNC('month', subq_7.metric_time__day) = subq_6.metric_time__day + WHERE DATE_TRUNC('week', subq_7.metric_time__day) = subq_7.metric_time__day + ) subq_9 + ) subq_10 + GROUP BY + subq_10.metric_time__week + ) subq_11 + ) subq_12 + ON + subq_4.metric_time__week = subq_12.metric_time__week + GROUP BY + COALESCE(subq_4.metric_time__week, subq_12.metric_time__week) +) subq_13 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain_and_granularity__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain_and_granularity__plan0_optimized.sql new file mode 100644 index 0000000000..0ac0bf4ca1 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_to_grain_and_granularity__plan0_optimized.sql @@ -0,0 +1,58 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__week + , bookings - bookings_at_start_of_month AS bookings_growth_since_start_of_month +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_18.metric_time__week, subq_26.metric_time__week) AS metric_time__week + , MAX(subq_18.bookings) AS bookings + , MAX(subq_26.bookings_at_start_of_month) AS bookings_at_start_of_month + FROM ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__week + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__week'] + SELECT + DATE_TRUNC('week', ds) AS metric_time__week + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_16 + GROUP BY + metric_time__week + ) subq_18 + FULL OUTER JOIN ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__week'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + DATE_TRUNC('week', subq_22.ds) AS metric_time__week + , SUM(subq_20.bookings) AS bookings_at_start_of_month + FROM ***************************.mf_time_spine subq_22 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_20 + ON + DATE_TRUNC('month', subq_22.ds) = subq_20.metric_time__day + WHERE DATE_TRUNC('week', subq_22.ds) = subq_22.ds + GROUP BY + DATE_TRUNC('week', subq_22.ds) + ) subq_26 + ON + subq_18.metric_time__week = subq_26.metric_time__week + GROUP BY + COALESCE(subq_18.metric_time__week, subq_26.metric_time__week) +) subq_27 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window__plan0.sql new file mode 100644 index 0000000000..26749f75df --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window__plan0.sql @@ -0,0 +1,547 @@ +-- Compute Metrics via Expressions +SELECT + subq_13.metric_time__day + , bookings - bookings_2_weeks_ago AS bookings_growth_2_weeks +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_4.metric_time__day, subq_12.metric_time__day) AS metric_time__day + , MAX(subq_4.bookings) AS bookings + , MAX(subq_12.bookings_2_weeks_ago) AS bookings_2_weeks_ago + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__day + , subq_3.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + ) subq_3 + ) subq_4 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_11.metric_time__day + , subq_11.bookings AS bookings_2_weeks_ago + FROM ( + -- Aggregate Measures + SELECT + subq_10.metric_time__day + , SUM(subq_10.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_9.metric_time__day + , subq_9.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_7.metric_time__day AS metric_time__day + , subq_6.ds__day AS ds__day + , subq_6.ds__week AS ds__week + , subq_6.ds__month AS ds__month + , subq_6.ds__quarter AS ds__quarter + , subq_6.ds__year AS ds__year + , subq_6.ds__extract_year AS ds__extract_year + , subq_6.ds__extract_quarter AS ds__extract_quarter + , subq_6.ds__extract_month AS ds__extract_month + , subq_6.ds__extract_day AS ds__extract_day + , subq_6.ds__extract_dow AS ds__extract_dow + , subq_6.ds__extract_doy AS ds__extract_doy + , subq_6.ds_partitioned__day AS ds_partitioned__day + , subq_6.ds_partitioned__week AS ds_partitioned__week + , subq_6.ds_partitioned__month AS ds_partitioned__month + , subq_6.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_6.ds_partitioned__year AS ds_partitioned__year + , subq_6.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_6.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_6.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_6.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_6.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_6.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_6.paid_at__day AS paid_at__day + , subq_6.paid_at__week AS paid_at__week + , subq_6.paid_at__month AS paid_at__month + , subq_6.paid_at__quarter AS paid_at__quarter + , subq_6.paid_at__year AS paid_at__year + , subq_6.paid_at__extract_year AS paid_at__extract_year + , subq_6.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_6.paid_at__extract_month AS paid_at__extract_month + , subq_6.paid_at__extract_day AS paid_at__extract_day + , subq_6.paid_at__extract_dow AS paid_at__extract_dow + , subq_6.paid_at__extract_doy AS paid_at__extract_doy + , subq_6.booking__ds__day AS booking__ds__day + , subq_6.booking__ds__week AS booking__ds__week + , subq_6.booking__ds__month AS booking__ds__month + , subq_6.booking__ds__quarter AS booking__ds__quarter + , subq_6.booking__ds__year AS booking__ds__year + , subq_6.booking__ds__extract_year AS booking__ds__extract_year + , subq_6.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_6.booking__ds__extract_month AS booking__ds__extract_month + , subq_6.booking__ds__extract_day AS booking__ds__extract_day + , subq_6.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_6.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_6.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_6.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_6.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_6.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_6.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_6.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_6.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_6.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_6.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_6.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_6.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_6.booking__paid_at__day AS booking__paid_at__day + , subq_6.booking__paid_at__week AS booking__paid_at__week + , subq_6.booking__paid_at__month AS booking__paid_at__month + , subq_6.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_6.booking__paid_at__year AS booking__paid_at__year + , subq_6.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_6.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_6.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_6.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_6.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_6.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_6.listing AS listing + , subq_6.guest AS guest + , subq_6.host AS host + , subq_6.booking__listing AS booking__listing + , subq_6.booking__guest AS booking__guest + , subq_6.booking__host AS booking__host + , subq_6.is_instant AS is_instant + , subq_6.booking__is_instant AS booking__is_instant + , subq_6.bookings AS bookings + , subq_6.instant_bookings AS instant_bookings + , subq_6.booking_value AS booking_value + , subq_6.max_booking_value AS max_booking_value + , subq_6.min_booking_value AS min_booking_value + , subq_6.bookers AS bookers + , subq_6.average_booking_value AS average_booking_value + , subq_6.referred_bookings AS referred_bookings + , subq_6.median_booking_value AS median_booking_value + , subq_6.booking_value_p99 AS booking_value_p99 + , subq_6.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_6.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_6.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_8.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_8 + ) subq_7 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_5.ds__day + , subq_5.ds__week + , subq_5.ds__month + , subq_5.ds__quarter + , subq_5.ds__year + , subq_5.ds__extract_year + , subq_5.ds__extract_quarter + , subq_5.ds__extract_month + , subq_5.ds__extract_day + , subq_5.ds__extract_dow + , subq_5.ds__extract_doy + , subq_5.ds_partitioned__day + , subq_5.ds_partitioned__week + , subq_5.ds_partitioned__month + , subq_5.ds_partitioned__quarter + , subq_5.ds_partitioned__year + , subq_5.ds_partitioned__extract_year + , subq_5.ds_partitioned__extract_quarter + , subq_5.ds_partitioned__extract_month + , subq_5.ds_partitioned__extract_day + , subq_5.ds_partitioned__extract_dow + , subq_5.ds_partitioned__extract_doy + , subq_5.paid_at__day + , subq_5.paid_at__week + , subq_5.paid_at__month + , subq_5.paid_at__quarter + , subq_5.paid_at__year + , subq_5.paid_at__extract_year + , subq_5.paid_at__extract_quarter + , subq_5.paid_at__extract_month + , subq_5.paid_at__extract_day + , subq_5.paid_at__extract_dow + , subq_5.paid_at__extract_doy + , subq_5.booking__ds__day + , subq_5.booking__ds__week + , subq_5.booking__ds__month + , subq_5.booking__ds__quarter + , subq_5.booking__ds__year + , subq_5.booking__ds__extract_year + , subq_5.booking__ds__extract_quarter + , subq_5.booking__ds__extract_month + , subq_5.booking__ds__extract_day + , subq_5.booking__ds__extract_dow + , subq_5.booking__ds__extract_doy + , subq_5.booking__ds_partitioned__day + , subq_5.booking__ds_partitioned__week + , subq_5.booking__ds_partitioned__month + , subq_5.booking__ds_partitioned__quarter + , subq_5.booking__ds_partitioned__year + , subq_5.booking__ds_partitioned__extract_year + , subq_5.booking__ds_partitioned__extract_quarter + , subq_5.booking__ds_partitioned__extract_month + , subq_5.booking__ds_partitioned__extract_day + , subq_5.booking__ds_partitioned__extract_dow + , subq_5.booking__ds_partitioned__extract_doy + , subq_5.booking__paid_at__day + , subq_5.booking__paid_at__week + , subq_5.booking__paid_at__month + , subq_5.booking__paid_at__quarter + , subq_5.booking__paid_at__year + , subq_5.booking__paid_at__extract_year + , subq_5.booking__paid_at__extract_quarter + , subq_5.booking__paid_at__extract_month + , subq_5.booking__paid_at__extract_day + , subq_5.booking__paid_at__extract_dow + , subq_5.booking__paid_at__extract_doy + , subq_5.ds__day AS metric_time__day + , subq_5.ds__week AS metric_time__week + , subq_5.ds__month AS metric_time__month + , subq_5.ds__quarter AS metric_time__quarter + , subq_5.ds__year AS metric_time__year + , subq_5.ds__extract_year AS metric_time__extract_year + , subq_5.ds__extract_quarter AS metric_time__extract_quarter + , subq_5.ds__extract_month AS metric_time__extract_month + , subq_5.ds__extract_day AS metric_time__extract_day + , subq_5.ds__extract_dow AS metric_time__extract_dow + , subq_5.ds__extract_doy AS metric_time__extract_doy + , subq_5.listing + , subq_5.guest + , subq_5.host + , subq_5.booking__listing + , subq_5.booking__guest + , subq_5.booking__host + , subq_5.is_instant + , subq_5.booking__is_instant + , subq_5.bookings + , subq_5.instant_bookings + , subq_5.booking_value + , subq_5.max_booking_value + , subq_5.min_booking_value + , subq_5.bookers + , subq_5.average_booking_value + , subq_5.referred_bookings + , subq_5.median_booking_value + , subq_5.booking_value_p99 + , subq_5.discrete_booking_value_p99 + , subq_5.approximate_continuous_booking_value_p99 + , subq_5.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_5 + ) subq_6 + ON + DATE_ADD('day', -14, subq_7.metric_time__day) = subq_6.metric_time__day + ) subq_9 + ) subq_10 + GROUP BY + subq_10.metric_time__day + ) subq_11 + ) subq_12 + ON + subq_4.metric_time__day = subq_12.metric_time__day + GROUP BY + COALESCE(subq_4.metric_time__day, subq_12.metric_time__day) +) subq_13 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window__plan0_optimized.sql new file mode 100644 index 0000000000..3affc98215 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window__plan0_optimized.sql @@ -0,0 +1,57 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , bookings - bookings_2_weeks_ago AS bookings_growth_2_weeks +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_18.metric_time__day, subq_26.metric_time__day) AS metric_time__day + , MAX(subq_18.bookings) AS bookings + , MAX(subq_26.bookings_2_weeks_ago) AS bookings_2_weeks_ago + FROM ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_16 + GROUP BY + metric_time__day + ) subq_18 + FULL OUTER JOIN ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_22.ds AS metric_time__day + , SUM(subq_20.bookings) AS bookings_2_weeks_ago + FROM ***************************.mf_time_spine subq_22 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_20 + ON + DATE_ADD('day', -14, subq_22.ds) = subq_20.metric_time__day + GROUP BY + subq_22.ds + ) subq_26 + ON + subq_18.metric_time__day = subq_26.metric_time__day + GROUP BY + COALESCE(subq_18.metric_time__day, subq_26.metric_time__day) +) subq_27 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_granularity__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_granularity__plan0.sql new file mode 100644 index 0000000000..1644094ca9 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_granularity__plan0.sql @@ -0,0 +1,547 @@ +-- Compute Metrics via Expressions +SELECT + subq_13.metric_time__quarter + , bookings - bookings_2_weeks_ago AS bookings_growth_2_weeks +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_4.metric_time__quarter, subq_12.metric_time__quarter) AS metric_time__quarter + , MAX(subq_4.bookings) AS bookings + , MAX(subq_12.bookings_2_weeks_ago) AS bookings_2_weeks_ago + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__quarter + , subq_3.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__quarter + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__quarter'] + SELECT + subq_1.metric_time__quarter + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__quarter + ) subq_3 + ) subq_4 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_11.metric_time__quarter + , subq_11.bookings AS bookings_2_weeks_ago + FROM ( + -- Aggregate Measures + SELECT + subq_10.metric_time__quarter + , SUM(subq_10.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__quarter'] + SELECT + subq_9.metric_time__quarter + , subq_9.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + DATE_TRUNC('quarter', subq_7.metric_time__day) AS metric_time__quarter + , subq_6.ds__day AS ds__day + , subq_6.ds__week AS ds__week + , subq_6.ds__month AS ds__month + , subq_6.ds__quarter AS ds__quarter + , subq_6.ds__year AS ds__year + , subq_6.ds__extract_year AS ds__extract_year + , subq_6.ds__extract_quarter AS ds__extract_quarter + , subq_6.ds__extract_month AS ds__extract_month + , subq_6.ds__extract_day AS ds__extract_day + , subq_6.ds__extract_dow AS ds__extract_dow + , subq_6.ds__extract_doy AS ds__extract_doy + , subq_6.ds_partitioned__day AS ds_partitioned__day + , subq_6.ds_partitioned__week AS ds_partitioned__week + , subq_6.ds_partitioned__month AS ds_partitioned__month + , subq_6.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_6.ds_partitioned__year AS ds_partitioned__year + , subq_6.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_6.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_6.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_6.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_6.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_6.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_6.paid_at__day AS paid_at__day + , subq_6.paid_at__week AS paid_at__week + , subq_6.paid_at__month AS paid_at__month + , subq_6.paid_at__quarter AS paid_at__quarter + , subq_6.paid_at__year AS paid_at__year + , subq_6.paid_at__extract_year AS paid_at__extract_year + , subq_6.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_6.paid_at__extract_month AS paid_at__extract_month + , subq_6.paid_at__extract_day AS paid_at__extract_day + , subq_6.paid_at__extract_dow AS paid_at__extract_dow + , subq_6.paid_at__extract_doy AS paid_at__extract_doy + , subq_6.booking__ds__day AS booking__ds__day + , subq_6.booking__ds__week AS booking__ds__week + , subq_6.booking__ds__month AS booking__ds__month + , subq_6.booking__ds__quarter AS booking__ds__quarter + , subq_6.booking__ds__year AS booking__ds__year + , subq_6.booking__ds__extract_year AS booking__ds__extract_year + , subq_6.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_6.booking__ds__extract_month AS booking__ds__extract_month + , subq_6.booking__ds__extract_day AS booking__ds__extract_day + , subq_6.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_6.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_6.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_6.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_6.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_6.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_6.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_6.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_6.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_6.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_6.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_6.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_6.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_6.booking__paid_at__day AS booking__paid_at__day + , subq_6.booking__paid_at__week AS booking__paid_at__week + , subq_6.booking__paid_at__month AS booking__paid_at__month + , subq_6.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_6.booking__paid_at__year AS booking__paid_at__year + , subq_6.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_6.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_6.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_6.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_6.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_6.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_6.listing AS listing + , subq_6.guest AS guest + , subq_6.host AS host + , subq_6.booking__listing AS booking__listing + , subq_6.booking__guest AS booking__guest + , subq_6.booking__host AS booking__host + , subq_6.is_instant AS is_instant + , subq_6.booking__is_instant AS booking__is_instant + , subq_6.bookings AS bookings + , subq_6.instant_bookings AS instant_bookings + , subq_6.booking_value AS booking_value + , subq_6.max_booking_value AS max_booking_value + , subq_6.min_booking_value AS min_booking_value + , subq_6.bookers AS bookers + , subq_6.average_booking_value AS average_booking_value + , subq_6.referred_bookings AS referred_bookings + , subq_6.median_booking_value AS median_booking_value + , subq_6.booking_value_p99 AS booking_value_p99 + , subq_6.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_6.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_6.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_8.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_8 + ) subq_7 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_5.ds__day + , subq_5.ds__week + , subq_5.ds__month + , subq_5.ds__quarter + , subq_5.ds__year + , subq_5.ds__extract_year + , subq_5.ds__extract_quarter + , subq_5.ds__extract_month + , subq_5.ds__extract_day + , subq_5.ds__extract_dow + , subq_5.ds__extract_doy + , subq_5.ds_partitioned__day + , subq_5.ds_partitioned__week + , subq_5.ds_partitioned__month + , subq_5.ds_partitioned__quarter + , subq_5.ds_partitioned__year + , subq_5.ds_partitioned__extract_year + , subq_5.ds_partitioned__extract_quarter + , subq_5.ds_partitioned__extract_month + , subq_5.ds_partitioned__extract_day + , subq_5.ds_partitioned__extract_dow + , subq_5.ds_partitioned__extract_doy + , subq_5.paid_at__day + , subq_5.paid_at__week + , subq_5.paid_at__month + , subq_5.paid_at__quarter + , subq_5.paid_at__year + , subq_5.paid_at__extract_year + , subq_5.paid_at__extract_quarter + , subq_5.paid_at__extract_month + , subq_5.paid_at__extract_day + , subq_5.paid_at__extract_dow + , subq_5.paid_at__extract_doy + , subq_5.booking__ds__day + , subq_5.booking__ds__week + , subq_5.booking__ds__month + , subq_5.booking__ds__quarter + , subq_5.booking__ds__year + , subq_5.booking__ds__extract_year + , subq_5.booking__ds__extract_quarter + , subq_5.booking__ds__extract_month + , subq_5.booking__ds__extract_day + , subq_5.booking__ds__extract_dow + , subq_5.booking__ds__extract_doy + , subq_5.booking__ds_partitioned__day + , subq_5.booking__ds_partitioned__week + , subq_5.booking__ds_partitioned__month + , subq_5.booking__ds_partitioned__quarter + , subq_5.booking__ds_partitioned__year + , subq_5.booking__ds_partitioned__extract_year + , subq_5.booking__ds_partitioned__extract_quarter + , subq_5.booking__ds_partitioned__extract_month + , subq_5.booking__ds_partitioned__extract_day + , subq_5.booking__ds_partitioned__extract_dow + , subq_5.booking__ds_partitioned__extract_doy + , subq_5.booking__paid_at__day + , subq_5.booking__paid_at__week + , subq_5.booking__paid_at__month + , subq_5.booking__paid_at__quarter + , subq_5.booking__paid_at__year + , subq_5.booking__paid_at__extract_year + , subq_5.booking__paid_at__extract_quarter + , subq_5.booking__paid_at__extract_month + , subq_5.booking__paid_at__extract_day + , subq_5.booking__paid_at__extract_dow + , subq_5.booking__paid_at__extract_doy + , subq_5.ds__day AS metric_time__day + , subq_5.ds__week AS metric_time__week + , subq_5.ds__month AS metric_time__month + , subq_5.ds__quarter AS metric_time__quarter + , subq_5.ds__year AS metric_time__year + , subq_5.ds__extract_year AS metric_time__extract_year + , subq_5.ds__extract_quarter AS metric_time__extract_quarter + , subq_5.ds__extract_month AS metric_time__extract_month + , subq_5.ds__extract_day AS metric_time__extract_day + , subq_5.ds__extract_dow AS metric_time__extract_dow + , subq_5.ds__extract_doy AS metric_time__extract_doy + , subq_5.listing + , subq_5.guest + , subq_5.host + , subq_5.booking__listing + , subq_5.booking__guest + , subq_5.booking__host + , subq_5.is_instant + , subq_5.booking__is_instant + , subq_5.bookings + , subq_5.instant_bookings + , subq_5.booking_value + , subq_5.max_booking_value + , subq_5.min_booking_value + , subq_5.bookers + , subq_5.average_booking_value + , subq_5.referred_bookings + , subq_5.median_booking_value + , subq_5.booking_value_p99 + , subq_5.discrete_booking_value_p99 + , subq_5.approximate_continuous_booking_value_p99 + , subq_5.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_5 + ) subq_6 + ON + DATE_ADD('day', -14, subq_7.metric_time__day) = subq_6.metric_time__day + ) subq_9 + ) subq_10 + GROUP BY + subq_10.metric_time__quarter + ) subq_11 + ) subq_12 + ON + subq_4.metric_time__quarter = subq_12.metric_time__quarter + GROUP BY + COALESCE(subq_4.metric_time__quarter, subq_12.metric_time__quarter) +) subq_13 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_granularity__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_granularity__plan0_optimized.sql new file mode 100644 index 0000000000..daa0503cca --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_granularity__plan0_optimized.sql @@ -0,0 +1,57 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__quarter + , bookings - bookings_2_weeks_ago AS bookings_growth_2_weeks +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_18.metric_time__quarter, subq_26.metric_time__quarter) AS metric_time__quarter + , MAX(subq_18.bookings) AS bookings + , MAX(subq_26.bookings_2_weeks_ago) AS bookings_2_weeks_ago + FROM ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__quarter + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__quarter'] + SELECT + DATE_TRUNC('quarter', ds) AS metric_time__quarter + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_16 + GROUP BY + metric_time__quarter + ) subq_18 + FULL OUTER JOIN ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__quarter'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + DATE_TRUNC('quarter', subq_22.ds) AS metric_time__quarter + , SUM(subq_20.bookings) AS bookings_2_weeks_ago + FROM ***************************.mf_time_spine subq_22 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_20 + ON + DATE_ADD('day', -14, subq_22.ds) = subq_20.metric_time__day + GROUP BY + DATE_TRUNC('quarter', subq_22.ds) + ) subq_26 + ON + subq_18.metric_time__quarter = subq_26.metric_time__quarter + GROUP BY + COALESCE(subq_18.metric_time__quarter, subq_26.metric_time__quarter) +) subq_27 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain__plan0.sql new file mode 100644 index 0000000000..b1e0452fac --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain__plan0.sql @@ -0,0 +1,647 @@ +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day + , month_start_bookings - bookings_1_month_ago AS bookings_month_start_compared_to_1_month_prior +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_7.metric_time__day, subq_15.metric_time__day) AS metric_time__day + , MAX(subq_7.month_start_bookings) AS month_start_bookings + , MAX(subq_15.bookings_1_month_ago) AS bookings_1_month_ago + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_6.metric_time__day + , subq_6.bookings AS month_start_bookings + FROM ( + -- Aggregate Measures + SELECT + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_4.metric_time__day + , subq_4.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + DATE_TRUNC('month', subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 + ) subq_7 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_14.metric_time__day + , subq_14.bookings AS bookings_1_month_ago + FROM ( + -- Aggregate Measures + SELECT + subq_13.metric_time__day + , SUM(subq_13.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_12.metric_time__day + , subq_12.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_10.metric_time__day AS metric_time__day + , subq_9.ds__day AS ds__day + , subq_9.ds__week AS ds__week + , subq_9.ds__month AS ds__month + , subq_9.ds__quarter AS ds__quarter + , subq_9.ds__year AS ds__year + , subq_9.ds__extract_year AS ds__extract_year + , subq_9.ds__extract_quarter AS ds__extract_quarter + , subq_9.ds__extract_month AS ds__extract_month + , subq_9.ds__extract_day AS ds__extract_day + , subq_9.ds__extract_dow AS ds__extract_dow + , subq_9.ds__extract_doy AS ds__extract_doy + , subq_9.ds_partitioned__day AS ds_partitioned__day + , subq_9.ds_partitioned__week AS ds_partitioned__week + , subq_9.ds_partitioned__month AS ds_partitioned__month + , subq_9.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_9.ds_partitioned__year AS ds_partitioned__year + , subq_9.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_9.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_9.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_9.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_9.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_9.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_9.paid_at__day AS paid_at__day + , subq_9.paid_at__week AS paid_at__week + , subq_9.paid_at__month AS paid_at__month + , subq_9.paid_at__quarter AS paid_at__quarter + , subq_9.paid_at__year AS paid_at__year + , subq_9.paid_at__extract_year AS paid_at__extract_year + , subq_9.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_9.paid_at__extract_month AS paid_at__extract_month + , subq_9.paid_at__extract_day AS paid_at__extract_day + , subq_9.paid_at__extract_dow AS paid_at__extract_dow + , subq_9.paid_at__extract_doy AS paid_at__extract_doy + , subq_9.booking__ds__day AS booking__ds__day + , subq_9.booking__ds__week AS booking__ds__week + , subq_9.booking__ds__month AS booking__ds__month + , subq_9.booking__ds__quarter AS booking__ds__quarter + , subq_9.booking__ds__year AS booking__ds__year + , subq_9.booking__ds__extract_year AS booking__ds__extract_year + , subq_9.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_9.booking__ds__extract_month AS booking__ds__extract_month + , subq_9.booking__ds__extract_day AS booking__ds__extract_day + , subq_9.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_9.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_9.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_9.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_9.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_9.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_9.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_9.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_9.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_9.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_9.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_9.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_9.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_9.booking__paid_at__day AS booking__paid_at__day + , subq_9.booking__paid_at__week AS booking__paid_at__week + , subq_9.booking__paid_at__month AS booking__paid_at__month + , subq_9.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_9.booking__paid_at__year AS booking__paid_at__year + , subq_9.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_9.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_9.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_9.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_9.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_9.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_9.listing AS listing + , subq_9.guest AS guest + , subq_9.host AS host + , subq_9.booking__listing AS booking__listing + , subq_9.booking__guest AS booking__guest + , subq_9.booking__host AS booking__host + , subq_9.is_instant AS is_instant + , subq_9.booking__is_instant AS booking__is_instant + , subq_9.bookings AS bookings + , subq_9.instant_bookings AS instant_bookings + , subq_9.booking_value AS booking_value + , subq_9.max_booking_value AS max_booking_value + , subq_9.min_booking_value AS min_booking_value + , subq_9.bookers AS bookers + , subq_9.average_booking_value AS average_booking_value + , subq_9.referred_bookings AS referred_bookings + , subq_9.median_booking_value AS median_booking_value + , subq_9.booking_value_p99 AS booking_value_p99 + , subq_9.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_9.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_9.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_11.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_11 + ) subq_10 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_8.ds__day + , subq_8.ds__week + , subq_8.ds__month + , subq_8.ds__quarter + , subq_8.ds__year + , subq_8.ds__extract_year + , subq_8.ds__extract_quarter + , subq_8.ds__extract_month + , subq_8.ds__extract_day + , subq_8.ds__extract_dow + , subq_8.ds__extract_doy + , subq_8.ds_partitioned__day + , subq_8.ds_partitioned__week + , subq_8.ds_partitioned__month + , subq_8.ds_partitioned__quarter + , subq_8.ds_partitioned__year + , subq_8.ds_partitioned__extract_year + , subq_8.ds_partitioned__extract_quarter + , subq_8.ds_partitioned__extract_month + , subq_8.ds_partitioned__extract_day + , subq_8.ds_partitioned__extract_dow + , subq_8.ds_partitioned__extract_doy + , subq_8.paid_at__day + , subq_8.paid_at__week + , subq_8.paid_at__month + , subq_8.paid_at__quarter + , subq_8.paid_at__year + , subq_8.paid_at__extract_year + , subq_8.paid_at__extract_quarter + , subq_8.paid_at__extract_month + , subq_8.paid_at__extract_day + , subq_8.paid_at__extract_dow + , subq_8.paid_at__extract_doy + , subq_8.booking__ds__day + , subq_8.booking__ds__week + , subq_8.booking__ds__month + , subq_8.booking__ds__quarter + , subq_8.booking__ds__year + , subq_8.booking__ds__extract_year + , subq_8.booking__ds__extract_quarter + , subq_8.booking__ds__extract_month + , subq_8.booking__ds__extract_day + , subq_8.booking__ds__extract_dow + , subq_8.booking__ds__extract_doy + , subq_8.booking__ds_partitioned__day + , subq_8.booking__ds_partitioned__week + , subq_8.booking__ds_partitioned__month + , subq_8.booking__ds_partitioned__quarter + , subq_8.booking__ds_partitioned__year + , subq_8.booking__ds_partitioned__extract_year + , subq_8.booking__ds_partitioned__extract_quarter + , subq_8.booking__ds_partitioned__extract_month + , subq_8.booking__ds_partitioned__extract_day + , subq_8.booking__ds_partitioned__extract_dow + , subq_8.booking__ds_partitioned__extract_doy + , subq_8.booking__paid_at__day + , subq_8.booking__paid_at__week + , subq_8.booking__paid_at__month + , subq_8.booking__paid_at__quarter + , subq_8.booking__paid_at__year + , subq_8.booking__paid_at__extract_year + , subq_8.booking__paid_at__extract_quarter + , subq_8.booking__paid_at__extract_month + , subq_8.booking__paid_at__extract_day + , subq_8.booking__paid_at__extract_dow + , subq_8.booking__paid_at__extract_doy + , subq_8.ds__day AS metric_time__day + , subq_8.ds__week AS metric_time__week + , subq_8.ds__month AS metric_time__month + , subq_8.ds__quarter AS metric_time__quarter + , subq_8.ds__year AS metric_time__year + , subq_8.ds__extract_year AS metric_time__extract_year + , subq_8.ds__extract_quarter AS metric_time__extract_quarter + , subq_8.ds__extract_month AS metric_time__extract_month + , subq_8.ds__extract_day AS metric_time__extract_day + , subq_8.ds__extract_dow AS metric_time__extract_dow + , subq_8.ds__extract_doy AS metric_time__extract_doy + , subq_8.listing + , subq_8.guest + , subq_8.host + , subq_8.booking__listing + , subq_8.booking__guest + , subq_8.booking__host + , subq_8.is_instant + , subq_8.booking__is_instant + , subq_8.bookings + , subq_8.instant_bookings + , subq_8.booking_value + , subq_8.max_booking_value + , subq_8.min_booking_value + , subq_8.bookers + , subq_8.average_booking_value + , subq_8.referred_bookings + , subq_8.median_booking_value + , subq_8.booking_value_p99 + , subq_8.discrete_booking_value_p99 + , subq_8.approximate_continuous_booking_value_p99 + , subq_8.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_8 + ) subq_9 + ON + DATE_ADD('month', -1, subq_10.metric_time__day) = subq_9.metric_time__day + ) subq_12 + ) subq_13 + GROUP BY + subq_13.metric_time__day + ) subq_14 + ) subq_15 + ON + subq_7.metric_time__day = subq_15.metric_time__day + GROUP BY + COALESCE(subq_7.metric_time__day, subq_15.metric_time__day) +) subq_16 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain__plan0_optimized.sql new file mode 100644 index 0000000000..c708273e6e --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain__plan0_optimized.sql @@ -0,0 +1,61 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , month_start_bookings - bookings_1_month_ago AS bookings_month_start_compared_to_1_month_prior +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_24.metric_time__day, subq_32.metric_time__day) AS metric_time__day + , MAX(subq_24.month_start_bookings) AS month_start_bookings + , MAX(subq_32.bookings_1_month_ago) AS bookings_1_month_ago + FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_20.ds AS metric_time__day + , SUM(subq_18.bookings) AS month_start_bookings + FROM ***************************.mf_time_spine subq_20 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_18 + ON + DATE_TRUNC('month', subq_20.ds) = subq_18.metric_time__day + GROUP BY + subq_20.ds + ) subq_24 + FULL OUTER JOIN ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_28.ds AS metric_time__day + , SUM(subq_26.bookings) AS bookings_1_month_ago + FROM ***************************.mf_time_spine subq_28 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_26 + ON + DATE_ADD('month', -1, subq_28.ds) = subq_26.metric_time__day + GROUP BY + subq_28.ds + ) subq_32 + ON + subq_24.metric_time__day = subq_32.metric_time__day + GROUP BY + COALESCE(subq_24.metric_time__day, subq_32.metric_time__day) +) subq_33 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain_and_granularity__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain_and_granularity__plan0.sql new file mode 100644 index 0000000000..4161462b4d --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain_and_granularity__plan0.sql @@ -0,0 +1,648 @@ +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__year + , month_start_bookings - bookings_1_month_ago AS bookings_month_start_compared_to_1_month_prior +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_7.metric_time__year, subq_15.metric_time__year) AS metric_time__year + , MAX(subq_7.month_start_bookings) AS month_start_bookings + , MAX(subq_15.bookings_1_month_ago) AS bookings_1_month_ago + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_6.metric_time__year + , subq_6.bookings AS month_start_bookings + FROM ( + -- Aggregate Measures + SELECT + subq_5.metric_time__year + , SUM(subq_5.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__year'] + SELECT + subq_4.metric_time__year + , subq_4.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + DATE_TRUNC('year', subq_2.metric_time__day) AS metric_time__year + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + DATE_TRUNC('month', subq_2.metric_time__day) = subq_1.metric_time__day + WHERE DATE_TRUNC('year', subq_2.metric_time__day) = subq_2.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__year + ) subq_6 + ) subq_7 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_14.metric_time__year + , subq_14.bookings AS bookings_1_month_ago + FROM ( + -- Aggregate Measures + SELECT + subq_13.metric_time__year + , SUM(subq_13.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__year'] + SELECT + subq_12.metric_time__year + , subq_12.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + DATE_TRUNC('year', subq_10.metric_time__day) AS metric_time__year + , subq_9.ds__day AS ds__day + , subq_9.ds__week AS ds__week + , subq_9.ds__month AS ds__month + , subq_9.ds__quarter AS ds__quarter + , subq_9.ds__year AS ds__year + , subq_9.ds__extract_year AS ds__extract_year + , subq_9.ds__extract_quarter AS ds__extract_quarter + , subq_9.ds__extract_month AS ds__extract_month + , subq_9.ds__extract_day AS ds__extract_day + , subq_9.ds__extract_dow AS ds__extract_dow + , subq_9.ds__extract_doy AS ds__extract_doy + , subq_9.ds_partitioned__day AS ds_partitioned__day + , subq_9.ds_partitioned__week AS ds_partitioned__week + , subq_9.ds_partitioned__month AS ds_partitioned__month + , subq_9.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_9.ds_partitioned__year AS ds_partitioned__year + , subq_9.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_9.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_9.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_9.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_9.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_9.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_9.paid_at__day AS paid_at__day + , subq_9.paid_at__week AS paid_at__week + , subq_9.paid_at__month AS paid_at__month + , subq_9.paid_at__quarter AS paid_at__quarter + , subq_9.paid_at__year AS paid_at__year + , subq_9.paid_at__extract_year AS paid_at__extract_year + , subq_9.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_9.paid_at__extract_month AS paid_at__extract_month + , subq_9.paid_at__extract_day AS paid_at__extract_day + , subq_9.paid_at__extract_dow AS paid_at__extract_dow + , subq_9.paid_at__extract_doy AS paid_at__extract_doy + , subq_9.booking__ds__day AS booking__ds__day + , subq_9.booking__ds__week AS booking__ds__week + , subq_9.booking__ds__month AS booking__ds__month + , subq_9.booking__ds__quarter AS booking__ds__quarter + , subq_9.booking__ds__year AS booking__ds__year + , subq_9.booking__ds__extract_year AS booking__ds__extract_year + , subq_9.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_9.booking__ds__extract_month AS booking__ds__extract_month + , subq_9.booking__ds__extract_day AS booking__ds__extract_day + , subq_9.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_9.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_9.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_9.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_9.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_9.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_9.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_9.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_9.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_9.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_9.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_9.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_9.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_9.booking__paid_at__day AS booking__paid_at__day + , subq_9.booking__paid_at__week AS booking__paid_at__week + , subq_9.booking__paid_at__month AS booking__paid_at__month + , subq_9.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_9.booking__paid_at__year AS booking__paid_at__year + , subq_9.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_9.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_9.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_9.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_9.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_9.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_9.listing AS listing + , subq_9.guest AS guest + , subq_9.host AS host + , subq_9.booking__listing AS booking__listing + , subq_9.booking__guest AS booking__guest + , subq_9.booking__host AS booking__host + , subq_9.is_instant AS is_instant + , subq_9.booking__is_instant AS booking__is_instant + , subq_9.bookings AS bookings + , subq_9.instant_bookings AS instant_bookings + , subq_9.booking_value AS booking_value + , subq_9.max_booking_value AS max_booking_value + , subq_9.min_booking_value AS min_booking_value + , subq_9.bookers AS bookers + , subq_9.average_booking_value AS average_booking_value + , subq_9.referred_bookings AS referred_bookings + , subq_9.median_booking_value AS median_booking_value + , subq_9.booking_value_p99 AS booking_value_p99 + , subq_9.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_9.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_9.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_11.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_11 + ) subq_10 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_8.ds__day + , subq_8.ds__week + , subq_8.ds__month + , subq_8.ds__quarter + , subq_8.ds__year + , subq_8.ds__extract_year + , subq_8.ds__extract_quarter + , subq_8.ds__extract_month + , subq_8.ds__extract_day + , subq_8.ds__extract_dow + , subq_8.ds__extract_doy + , subq_8.ds_partitioned__day + , subq_8.ds_partitioned__week + , subq_8.ds_partitioned__month + , subq_8.ds_partitioned__quarter + , subq_8.ds_partitioned__year + , subq_8.ds_partitioned__extract_year + , subq_8.ds_partitioned__extract_quarter + , subq_8.ds_partitioned__extract_month + , subq_8.ds_partitioned__extract_day + , subq_8.ds_partitioned__extract_dow + , subq_8.ds_partitioned__extract_doy + , subq_8.paid_at__day + , subq_8.paid_at__week + , subq_8.paid_at__month + , subq_8.paid_at__quarter + , subq_8.paid_at__year + , subq_8.paid_at__extract_year + , subq_8.paid_at__extract_quarter + , subq_8.paid_at__extract_month + , subq_8.paid_at__extract_day + , subq_8.paid_at__extract_dow + , subq_8.paid_at__extract_doy + , subq_8.booking__ds__day + , subq_8.booking__ds__week + , subq_8.booking__ds__month + , subq_8.booking__ds__quarter + , subq_8.booking__ds__year + , subq_8.booking__ds__extract_year + , subq_8.booking__ds__extract_quarter + , subq_8.booking__ds__extract_month + , subq_8.booking__ds__extract_day + , subq_8.booking__ds__extract_dow + , subq_8.booking__ds__extract_doy + , subq_8.booking__ds_partitioned__day + , subq_8.booking__ds_partitioned__week + , subq_8.booking__ds_partitioned__month + , subq_8.booking__ds_partitioned__quarter + , subq_8.booking__ds_partitioned__year + , subq_8.booking__ds_partitioned__extract_year + , subq_8.booking__ds_partitioned__extract_quarter + , subq_8.booking__ds_partitioned__extract_month + , subq_8.booking__ds_partitioned__extract_day + , subq_8.booking__ds_partitioned__extract_dow + , subq_8.booking__ds_partitioned__extract_doy + , subq_8.booking__paid_at__day + , subq_8.booking__paid_at__week + , subq_8.booking__paid_at__month + , subq_8.booking__paid_at__quarter + , subq_8.booking__paid_at__year + , subq_8.booking__paid_at__extract_year + , subq_8.booking__paid_at__extract_quarter + , subq_8.booking__paid_at__extract_month + , subq_8.booking__paid_at__extract_day + , subq_8.booking__paid_at__extract_dow + , subq_8.booking__paid_at__extract_doy + , subq_8.ds__day AS metric_time__day + , subq_8.ds__week AS metric_time__week + , subq_8.ds__month AS metric_time__month + , subq_8.ds__quarter AS metric_time__quarter + , subq_8.ds__year AS metric_time__year + , subq_8.ds__extract_year AS metric_time__extract_year + , subq_8.ds__extract_quarter AS metric_time__extract_quarter + , subq_8.ds__extract_month AS metric_time__extract_month + , subq_8.ds__extract_day AS metric_time__extract_day + , subq_8.ds__extract_dow AS metric_time__extract_dow + , subq_8.ds__extract_doy AS metric_time__extract_doy + , subq_8.listing + , subq_8.guest + , subq_8.host + , subq_8.booking__listing + , subq_8.booking__guest + , subq_8.booking__host + , subq_8.is_instant + , subq_8.booking__is_instant + , subq_8.bookings + , subq_8.instant_bookings + , subq_8.booking_value + , subq_8.max_booking_value + , subq_8.min_booking_value + , subq_8.bookers + , subq_8.average_booking_value + , subq_8.referred_bookings + , subq_8.median_booking_value + , subq_8.booking_value_p99 + , subq_8.discrete_booking_value_p99 + , subq_8.approximate_continuous_booking_value_p99 + , subq_8.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_8 + ) subq_9 + ON + DATE_ADD('month', -1, subq_10.metric_time__day) = subq_9.metric_time__day + ) subq_12 + ) subq_13 + GROUP BY + subq_13.metric_time__year + ) subq_14 + ) subq_15 + ON + subq_7.metric_time__year = subq_15.metric_time__year + GROUP BY + COALESCE(subq_7.metric_time__year, subq_15.metric_time__year) +) subq_16 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain_and_granularity__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain_and_granularity__plan0_optimized.sql new file mode 100644 index 0000000000..2c0a228856 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_offset_to_grain_and_granularity__plan0_optimized.sql @@ -0,0 +1,62 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__year + , month_start_bookings - bookings_1_month_ago AS bookings_month_start_compared_to_1_month_prior +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_24.metric_time__year, subq_32.metric_time__year) AS metric_time__year + , MAX(subq_24.month_start_bookings) AS month_start_bookings + , MAX(subq_32.bookings_1_month_ago) AS bookings_1_month_ago + FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__year'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + DATE_TRUNC('year', subq_20.ds) AS metric_time__year + , SUM(subq_18.bookings) AS month_start_bookings + FROM ***************************.mf_time_spine subq_20 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_18 + ON + DATE_TRUNC('month', subq_20.ds) = subq_18.metric_time__day + WHERE DATE_TRUNC('year', subq_20.ds) = subq_20.ds + GROUP BY + DATE_TRUNC('year', subq_20.ds) + ) subq_24 + FULL OUTER JOIN ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__year'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + DATE_TRUNC('year', subq_28.ds) AS metric_time__year + , SUM(subq_26.bookings) AS bookings_1_month_ago + FROM ***************************.mf_time_spine subq_28 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_26 + ON + DATE_ADD('month', -1, subq_28.ds) = subq_26.metric_time__day + GROUP BY + DATE_TRUNC('year', subq_28.ds) + ) subq_32 + ON + subq_24.metric_time__year = subq_32.metric_time__year + GROUP BY + COALESCE(subq_24.metric_time__year, subq_32.metric_time__year) +) subq_33 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_time_filter__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_time_filter__plan0.sql new file mode 100644 index 0000000000..44aeb8a341 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_time_filter__plan0.sql @@ -0,0 +1,561 @@ +-- Compute Metrics via Expressions +SELECT + subq_15.metric_time__day + , bookings - bookings_2_weeks_ago AS bookings_growth_2_weeks +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_5.metric_time__day, subq_14.metric_time__day) AS metric_time__day + , MAX(subq_5.bookings) AS bookings + , MAX(subq_14.bookings_2_weeks_ago) AS bookings_2_weeks_ago + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_4.metric_time__day + , subq_4.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_3.metric_time__day + , SUM(subq_3.bookings) AS bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__day + , subq_2.bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE metric_time__day = '2020-01-01' or metric_time__day = '2020-01-14' + ) subq_3 + GROUP BY + subq_3.metric_time__day + ) subq_4 + ) subq_5 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_13.metric_time__day + , subq_13.bookings AS bookings_2_weeks_ago + FROM ( + -- Aggregate Measures + SELECT + subq_12.metric_time__day + , SUM(subq_12.bookings) AS bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_11.metric_time__day + , subq_11.bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_10.metric_time__day + , subq_10.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_8.metric_time__day AS metric_time__day + , subq_7.ds__day AS ds__day + , subq_7.ds__week AS ds__week + , subq_7.ds__month AS ds__month + , subq_7.ds__quarter AS ds__quarter + , subq_7.ds__year AS ds__year + , subq_7.ds__extract_year AS ds__extract_year + , subq_7.ds__extract_quarter AS ds__extract_quarter + , subq_7.ds__extract_month AS ds__extract_month + , subq_7.ds__extract_day AS ds__extract_day + , subq_7.ds__extract_dow AS ds__extract_dow + , subq_7.ds__extract_doy AS ds__extract_doy + , subq_7.ds_partitioned__day AS ds_partitioned__day + , subq_7.ds_partitioned__week AS ds_partitioned__week + , subq_7.ds_partitioned__month AS ds_partitioned__month + , subq_7.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_7.ds_partitioned__year AS ds_partitioned__year + , subq_7.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_7.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_7.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_7.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_7.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_7.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_7.paid_at__day AS paid_at__day + , subq_7.paid_at__week AS paid_at__week + , subq_7.paid_at__month AS paid_at__month + , subq_7.paid_at__quarter AS paid_at__quarter + , subq_7.paid_at__year AS paid_at__year + , subq_7.paid_at__extract_year AS paid_at__extract_year + , subq_7.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_7.paid_at__extract_month AS paid_at__extract_month + , subq_7.paid_at__extract_day AS paid_at__extract_day + , subq_7.paid_at__extract_dow AS paid_at__extract_dow + , subq_7.paid_at__extract_doy AS paid_at__extract_doy + , subq_7.booking__ds__day AS booking__ds__day + , subq_7.booking__ds__week AS booking__ds__week + , subq_7.booking__ds__month AS booking__ds__month + , subq_7.booking__ds__quarter AS booking__ds__quarter + , subq_7.booking__ds__year AS booking__ds__year + , subq_7.booking__ds__extract_year AS booking__ds__extract_year + , subq_7.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_7.booking__ds__extract_month AS booking__ds__extract_month + , subq_7.booking__ds__extract_day AS booking__ds__extract_day + , subq_7.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_7.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_7.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_7.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_7.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_7.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_7.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_7.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_7.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_7.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_7.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_7.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_7.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_7.booking__paid_at__day AS booking__paid_at__day + , subq_7.booking__paid_at__week AS booking__paid_at__week + , subq_7.booking__paid_at__month AS booking__paid_at__month + , subq_7.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_7.booking__paid_at__year AS booking__paid_at__year + , subq_7.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_7.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_7.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_7.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_7.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_7.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_7.listing AS listing + , subq_7.guest AS guest + , subq_7.host AS host + , subq_7.booking__listing AS booking__listing + , subq_7.booking__guest AS booking__guest + , subq_7.booking__host AS booking__host + , subq_7.is_instant AS is_instant + , subq_7.booking__is_instant AS booking__is_instant + , subq_7.bookings AS bookings + , subq_7.instant_bookings AS instant_bookings + , subq_7.booking_value AS booking_value + , subq_7.max_booking_value AS max_booking_value + , subq_7.min_booking_value AS min_booking_value + , subq_7.bookers AS bookers + , subq_7.average_booking_value AS average_booking_value + , subq_7.referred_bookings AS referred_bookings + , subq_7.median_booking_value AS median_booking_value + , subq_7.booking_value_p99 AS booking_value_p99 + , subq_7.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_7.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_7.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_9.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_9 + ) subq_8 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_6.ds__day + , subq_6.ds__week + , subq_6.ds__month + , subq_6.ds__quarter + , subq_6.ds__year + , subq_6.ds__extract_year + , subq_6.ds__extract_quarter + , subq_6.ds__extract_month + , subq_6.ds__extract_day + , subq_6.ds__extract_dow + , subq_6.ds__extract_doy + , subq_6.ds_partitioned__day + , subq_6.ds_partitioned__week + , subq_6.ds_partitioned__month + , subq_6.ds_partitioned__quarter + , subq_6.ds_partitioned__year + , subq_6.ds_partitioned__extract_year + , subq_6.ds_partitioned__extract_quarter + , subq_6.ds_partitioned__extract_month + , subq_6.ds_partitioned__extract_day + , subq_6.ds_partitioned__extract_dow + , subq_6.ds_partitioned__extract_doy + , subq_6.paid_at__day + , subq_6.paid_at__week + , subq_6.paid_at__month + , subq_6.paid_at__quarter + , subq_6.paid_at__year + , subq_6.paid_at__extract_year + , subq_6.paid_at__extract_quarter + , subq_6.paid_at__extract_month + , subq_6.paid_at__extract_day + , subq_6.paid_at__extract_dow + , subq_6.paid_at__extract_doy + , subq_6.booking__ds__day + , subq_6.booking__ds__week + , subq_6.booking__ds__month + , subq_6.booking__ds__quarter + , subq_6.booking__ds__year + , subq_6.booking__ds__extract_year + , subq_6.booking__ds__extract_quarter + , subq_6.booking__ds__extract_month + , subq_6.booking__ds__extract_day + , subq_6.booking__ds__extract_dow + , subq_6.booking__ds__extract_doy + , subq_6.booking__ds_partitioned__day + , subq_6.booking__ds_partitioned__week + , subq_6.booking__ds_partitioned__month + , subq_6.booking__ds_partitioned__quarter + , subq_6.booking__ds_partitioned__year + , subq_6.booking__ds_partitioned__extract_year + , subq_6.booking__ds_partitioned__extract_quarter + , subq_6.booking__ds_partitioned__extract_month + , subq_6.booking__ds_partitioned__extract_day + , subq_6.booking__ds_partitioned__extract_dow + , subq_6.booking__ds_partitioned__extract_doy + , subq_6.booking__paid_at__day + , subq_6.booking__paid_at__week + , subq_6.booking__paid_at__month + , subq_6.booking__paid_at__quarter + , subq_6.booking__paid_at__year + , subq_6.booking__paid_at__extract_year + , subq_6.booking__paid_at__extract_quarter + , subq_6.booking__paid_at__extract_month + , subq_6.booking__paid_at__extract_day + , subq_6.booking__paid_at__extract_dow + , subq_6.booking__paid_at__extract_doy + , subq_6.ds__day AS metric_time__day + , subq_6.ds__week AS metric_time__week + , subq_6.ds__month AS metric_time__month + , subq_6.ds__quarter AS metric_time__quarter + , subq_6.ds__year AS metric_time__year + , subq_6.ds__extract_year AS metric_time__extract_year + , subq_6.ds__extract_quarter AS metric_time__extract_quarter + , subq_6.ds__extract_month AS metric_time__extract_month + , subq_6.ds__extract_day AS metric_time__extract_day + , subq_6.ds__extract_dow AS metric_time__extract_dow + , subq_6.ds__extract_doy AS metric_time__extract_doy + , subq_6.listing + , subq_6.guest + , subq_6.host + , subq_6.booking__listing + , subq_6.booking__guest + , subq_6.booking__host + , subq_6.is_instant + , subq_6.booking__is_instant + , subq_6.bookings + , subq_6.instant_bookings + , subq_6.booking_value + , subq_6.max_booking_value + , subq_6.min_booking_value + , subq_6.bookers + , subq_6.average_booking_value + , subq_6.referred_bookings + , subq_6.median_booking_value + , subq_6.booking_value_p99 + , subq_6.discrete_booking_value_p99 + , subq_6.approximate_continuous_booking_value_p99 + , subq_6.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_6 + ) subq_7 + ON + DATE_ADD('day', -14, subq_8.metric_time__day) = subq_7.metric_time__day + ) subq_10 + ) subq_11 + WHERE metric_time__day = '2020-01-01' or metric_time__day = '2020-01-14' + ) subq_12 + GROUP BY + subq_12.metric_time__day + ) subq_13 + ) subq_14 + ON + subq_5.metric_time__day = subq_14.metric_time__day + GROUP BY + COALESCE(subq_5.metric_time__day, subq_14.metric_time__day) +) subq_15 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_time_filter__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_time_filter__plan0_optimized.sql new file mode 100644 index 0000000000..d1ff5de63a --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_metric_with_offset_window_and_time_filter__plan0_optimized.sql @@ -0,0 +1,66 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , bookings - bookings_2_weeks_ago AS bookings_growth_2_weeks +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_21.metric_time__day, subq_30.metric_time__day) AS metric_time__day + , MAX(subq_21.bookings) AS bookings + , MAX(subq_30.bookings_2_weeks_ago) AS bookings_2_weeks_ago + FROM ( + -- Constrain Output with WHERE + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_18 + WHERE metric_time__day = '2020-01-01' or metric_time__day = '2020-01-14' + GROUP BY + metric_time__day + ) subq_21 + FULL OUTER JOIN ( + -- Constrain Output with WHERE + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS bookings_2_weeks_ago + FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_25.ds AS metric_time__day + , subq_23.bookings AS bookings + FROM ***************************.mf_time_spine subq_25 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_23 + ON + DATE_ADD('day', -14, subq_25.ds) = subq_23.metric_time__day + ) subq_27 + WHERE metric_time__day = '2020-01-01' or metric_time__day = '2020-01-14' + GROUP BY + metric_time__day + ) subq_30 + ON + subq_21.metric_time__day = subq_30.metric_time__day + GROUP BY + COALESCE(subq_21.metric_time__day, subq_30.metric_time__day) +) subq_31 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_cumulative_metric__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_cumulative_metric__plan0.sql new file mode 100644 index 0000000000..cdc607f869 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_cumulative_metric__plan0.sql @@ -0,0 +1,434 @@ +-- Compute Metrics via Expressions +SELECT + subq_10.metric_time__day + , every_2_days_bookers_2_days_ago AS every_2_days_bookers_2_days_ago +FROM ( + -- Compute Metrics via Expressions + SELECT + subq_9.metric_time__day + , subq_9.bookers AS every_2_days_bookers_2_days_ago + FROM ( + -- Aggregate Measures + SELECT + subq_8.metric_time__day + , COUNT(DISTINCT subq_8.bookers) AS bookers + FROM ( + -- Pass Only Elements: + -- ['bookers', 'metric_time__day'] + SELECT + subq_7.metric_time__day + , subq_7.bookers + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_5.metric_time__day AS metric_time__day + , subq_4.ds__day AS ds__day + , subq_4.ds__week AS ds__week + , subq_4.ds__month AS ds__month + , subq_4.ds__quarter AS ds__quarter + , subq_4.ds__year AS ds__year + , subq_4.ds__extract_year AS ds__extract_year + , subq_4.ds__extract_quarter AS ds__extract_quarter + , subq_4.ds__extract_month AS ds__extract_month + , subq_4.ds__extract_day AS ds__extract_day + , subq_4.ds__extract_dow AS ds__extract_dow + , subq_4.ds__extract_doy AS ds__extract_doy + , subq_4.ds_partitioned__day AS ds_partitioned__day + , subq_4.ds_partitioned__week AS ds_partitioned__week + , subq_4.ds_partitioned__month AS ds_partitioned__month + , subq_4.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_4.ds_partitioned__year AS ds_partitioned__year + , subq_4.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_4.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_4.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_4.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_4.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_4.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_4.paid_at__day AS paid_at__day + , subq_4.paid_at__week AS paid_at__week + , subq_4.paid_at__month AS paid_at__month + , subq_4.paid_at__quarter AS paid_at__quarter + , subq_4.paid_at__year AS paid_at__year + , subq_4.paid_at__extract_year AS paid_at__extract_year + , subq_4.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_4.paid_at__extract_month AS paid_at__extract_month + , subq_4.paid_at__extract_day AS paid_at__extract_day + , subq_4.paid_at__extract_dow AS paid_at__extract_dow + , subq_4.paid_at__extract_doy AS paid_at__extract_doy + , subq_4.booking__ds__day AS booking__ds__day + , subq_4.booking__ds__week AS booking__ds__week + , subq_4.booking__ds__month AS booking__ds__month + , subq_4.booking__ds__quarter AS booking__ds__quarter + , subq_4.booking__ds__year AS booking__ds__year + , subq_4.booking__ds__extract_year AS booking__ds__extract_year + , subq_4.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_4.booking__ds__extract_month AS booking__ds__extract_month + , subq_4.booking__ds__extract_day AS booking__ds__extract_day + , subq_4.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_4.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_4.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_4.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_4.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_4.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_4.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_4.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_4.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_4.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_4.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_4.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_4.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_4.booking__paid_at__day AS booking__paid_at__day + , subq_4.booking__paid_at__week AS booking__paid_at__week + , subq_4.booking__paid_at__month AS booking__paid_at__month + , subq_4.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_4.booking__paid_at__year AS booking__paid_at__year + , subq_4.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_4.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_4.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_4.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_4.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_4.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_4.listing AS listing + , subq_4.guest AS guest + , subq_4.host AS host + , subq_4.booking__listing AS booking__listing + , subq_4.booking__guest AS booking__guest + , subq_4.booking__host AS booking__host + , subq_4.is_instant AS is_instant + , subq_4.booking__is_instant AS booking__is_instant + , subq_4.bookings AS bookings + , subq_4.instant_bookings AS instant_bookings + , subq_4.booking_value AS booking_value + , subq_4.max_booking_value AS max_booking_value + , subq_4.min_booking_value AS min_booking_value + , subq_4.bookers AS bookers + , subq_4.average_booking_value AS average_booking_value + , subq_4.referred_bookings AS referred_bookings + , subq_4.median_booking_value AS median_booking_value + , subq_4.booking_value_p99 AS booking_value_p99 + , subq_4.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_4.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_4.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_6.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_6 + ) subq_5 + INNER JOIN ( + -- Join Self Over Time Range + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + ( + subq_1.metric_time__day <= subq_2.metric_time__day + ) AND ( + subq_1.metric_time__day > DATE_ADD('day', -2, subq_2.metric_time__day) + ) + ) subq_4 + ON + DATE_ADD('day', -2, subq_5.metric_time__day) = subq_4.metric_time__day + ) subq_7 + ) subq_8 + GROUP BY + subq_8.metric_time__day + ) subq_9 +) subq_10 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_cumulative_metric__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_cumulative_metric__plan0_optimized.sql new file mode 100644 index 0000000000..9d0f96b918 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_cumulative_metric__plan0_optimized.sql @@ -0,0 +1,34 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , every_2_days_bookers_2_days_ago AS every_2_days_bookers_2_days_ago +FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookers', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_17.ds AS metric_time__day + , COUNT(DISTINCT subq_15.bookers) AS every_2_days_bookers_2_days_ago + FROM ***************************.mf_time_spine subq_17 + INNER JOIN ( + -- Join Self Over Time Range + SELECT + subq_14.ds AS metric_time__day + , bookings_source_src_10001.guest_id AS bookers + FROM ***************************.mf_time_spine subq_14 + INNER JOIN + ***************************.fct_bookings bookings_source_src_10001 + ON + ( + DATE_TRUNC('day', bookings_source_src_10001.ds) <= subq_14.ds + ) AND ( + DATE_TRUNC('day', bookings_source_src_10001.ds) > DATE_ADD('day', -2, subq_14.ds) + ) + ) subq_15 + ON + DATE_ADD('day', -2, subq_17.ds) = subq_15.metric_time__day + GROUP BY + subq_17.ds +) subq_21 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_metric_with_one_input_metric__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_metric_with_one_input_metric__plan0.sql new file mode 100644 index 0000000000..b6365b4353 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_metric_with_one_input_metric__plan0.sql @@ -0,0 +1,320 @@ +-- Compute Metrics via Expressions +SELECT + subq_7.metric_time__day + , bookings_5_days_ago AS bookings_5_day_lag +FROM ( + -- Compute Metrics via Expressions + SELECT + subq_6.metric_time__day + , subq_6.bookings AS bookings_5_days_ago + FROM ( + -- Aggregate Measures + SELECT + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_4.metric_time__day + , subq_4.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + DATE_ADD('day', -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 +) subq_7 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_metric_with_one_input_metric__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_metric_with_one_input_metric__plan0_optimized.sql new file mode 100644 index 0000000000..5b1b77974b --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_derived_offset_metric_with_one_input_metric__plan0_optimized.sql @@ -0,0 +1,27 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , bookings_5_days_ago AS bookings_5_day_lag +FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_11.ds AS metric_time__day + , SUM(subq_9.bookings) AS bookings_5_days_ago + FROM ***************************.mf_time_spine subq_11 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_9 + ON + DATE_ADD('day', -5, subq_11.ds) = subq_9.metric_time__day + GROUP BY + subq_11.ds +) subq_15 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric__plan0.sql new file mode 100644 index 0000000000..58d37cfe4c --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric__plan0.sql @@ -0,0 +1,899 @@ +-- Compute Metrics via Expressions +SELECT + subq_22.metric_time__day + , non_referred + (instant * 1.0 / bookings) AS instant_plus_non_referred_bookings_pct +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_11.metric_time__day, subq_16.metric_time__day, subq_21.metric_time__day) AS metric_time__day + , MAX(subq_11.non_referred) AS non_referred + , MAX(subq_16.instant) AS instant + , MAX(subq_21.bookings) AS bookings + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_10.metric_time__day + , (bookings - ref_bookings) * 1.0 / bookings AS non_referred + FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_4.metric_time__day, subq_9.metric_time__day) AS metric_time__day + , MAX(subq_4.ref_bookings) AS ref_bookings + , MAX(subq_9.bookings) AS bookings + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__day + , subq_3.referred_bookings AS ref_bookings + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , SUM(subq_2.referred_bookings) AS referred_bookings + FROM ( + -- Pass Only Elements: + -- ['referred_bookings', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.referred_bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + ) subq_3 + ) subq_4 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_8.metric_time__day + , subq_8.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_7.metric_time__day + , SUM(subq_7.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_6.metric_time__day + , subq_6.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_5.ds__day + , subq_5.ds__week + , subq_5.ds__month + , subq_5.ds__quarter + , subq_5.ds__year + , subq_5.ds__extract_year + , subq_5.ds__extract_quarter + , subq_5.ds__extract_month + , subq_5.ds__extract_day + , subq_5.ds__extract_dow + , subq_5.ds__extract_doy + , subq_5.ds_partitioned__day + , subq_5.ds_partitioned__week + , subq_5.ds_partitioned__month + , subq_5.ds_partitioned__quarter + , subq_5.ds_partitioned__year + , subq_5.ds_partitioned__extract_year + , subq_5.ds_partitioned__extract_quarter + , subq_5.ds_partitioned__extract_month + , subq_5.ds_partitioned__extract_day + , subq_5.ds_partitioned__extract_dow + , subq_5.ds_partitioned__extract_doy + , subq_5.paid_at__day + , subq_5.paid_at__week + , subq_5.paid_at__month + , subq_5.paid_at__quarter + , subq_5.paid_at__year + , subq_5.paid_at__extract_year + , subq_5.paid_at__extract_quarter + , subq_5.paid_at__extract_month + , subq_5.paid_at__extract_day + , subq_5.paid_at__extract_dow + , subq_5.paid_at__extract_doy + , subq_5.booking__ds__day + , subq_5.booking__ds__week + , subq_5.booking__ds__month + , subq_5.booking__ds__quarter + , subq_5.booking__ds__year + , subq_5.booking__ds__extract_year + , subq_5.booking__ds__extract_quarter + , subq_5.booking__ds__extract_month + , subq_5.booking__ds__extract_day + , subq_5.booking__ds__extract_dow + , subq_5.booking__ds__extract_doy + , subq_5.booking__ds_partitioned__day + , subq_5.booking__ds_partitioned__week + , subq_5.booking__ds_partitioned__month + , subq_5.booking__ds_partitioned__quarter + , subq_5.booking__ds_partitioned__year + , subq_5.booking__ds_partitioned__extract_year + , subq_5.booking__ds_partitioned__extract_quarter + , subq_5.booking__ds_partitioned__extract_month + , subq_5.booking__ds_partitioned__extract_day + , subq_5.booking__ds_partitioned__extract_dow + , subq_5.booking__ds_partitioned__extract_doy + , subq_5.booking__paid_at__day + , subq_5.booking__paid_at__week + , subq_5.booking__paid_at__month + , subq_5.booking__paid_at__quarter + , subq_5.booking__paid_at__year + , subq_5.booking__paid_at__extract_year + , subq_5.booking__paid_at__extract_quarter + , subq_5.booking__paid_at__extract_month + , subq_5.booking__paid_at__extract_day + , subq_5.booking__paid_at__extract_dow + , subq_5.booking__paid_at__extract_doy + , subq_5.ds__day AS metric_time__day + , subq_5.ds__week AS metric_time__week + , subq_5.ds__month AS metric_time__month + , subq_5.ds__quarter AS metric_time__quarter + , subq_5.ds__year AS metric_time__year + , subq_5.ds__extract_year AS metric_time__extract_year + , subq_5.ds__extract_quarter AS metric_time__extract_quarter + , subq_5.ds__extract_month AS metric_time__extract_month + , subq_5.ds__extract_day AS metric_time__extract_day + , subq_5.ds__extract_dow AS metric_time__extract_dow + , subq_5.ds__extract_doy AS metric_time__extract_doy + , subq_5.listing + , subq_5.guest + , subq_5.host + , subq_5.booking__listing + , subq_5.booking__guest + , subq_5.booking__host + , subq_5.is_instant + , subq_5.booking__is_instant + , subq_5.bookings + , subq_5.instant_bookings + , subq_5.booking_value + , subq_5.max_booking_value + , subq_5.min_booking_value + , subq_5.bookers + , subq_5.average_booking_value + , subq_5.referred_bookings + , subq_5.median_booking_value + , subq_5.booking_value_p99 + , subq_5.discrete_booking_value_p99 + , subq_5.approximate_continuous_booking_value_p99 + , subq_5.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_5 + ) subq_6 + ) subq_7 + GROUP BY + subq_7.metric_time__day + ) subq_8 + ) subq_9 + ON + subq_4.metric_time__day = subq_9.metric_time__day + GROUP BY + COALESCE(subq_4.metric_time__day, subq_9.metric_time__day) + ) subq_10 + ) subq_11 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_15.metric_time__day + , subq_15.instant_bookings AS instant + FROM ( + -- Aggregate Measures + SELECT + subq_14.metric_time__day + , SUM(subq_14.instant_bookings) AS instant_bookings + FROM ( + -- Pass Only Elements: + -- ['instant_bookings', 'metric_time__day'] + SELECT + subq_13.metric_time__day + , subq_13.instant_bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_12.ds__day + , subq_12.ds__week + , subq_12.ds__month + , subq_12.ds__quarter + , subq_12.ds__year + , subq_12.ds__extract_year + , subq_12.ds__extract_quarter + , subq_12.ds__extract_month + , subq_12.ds__extract_day + , subq_12.ds__extract_dow + , subq_12.ds__extract_doy + , subq_12.ds_partitioned__day + , subq_12.ds_partitioned__week + , subq_12.ds_partitioned__month + , subq_12.ds_partitioned__quarter + , subq_12.ds_partitioned__year + , subq_12.ds_partitioned__extract_year + , subq_12.ds_partitioned__extract_quarter + , subq_12.ds_partitioned__extract_month + , subq_12.ds_partitioned__extract_day + , subq_12.ds_partitioned__extract_dow + , subq_12.ds_partitioned__extract_doy + , subq_12.paid_at__day + , subq_12.paid_at__week + , subq_12.paid_at__month + , subq_12.paid_at__quarter + , subq_12.paid_at__year + , subq_12.paid_at__extract_year + , subq_12.paid_at__extract_quarter + , subq_12.paid_at__extract_month + , subq_12.paid_at__extract_day + , subq_12.paid_at__extract_dow + , subq_12.paid_at__extract_doy + , subq_12.booking__ds__day + , subq_12.booking__ds__week + , subq_12.booking__ds__month + , subq_12.booking__ds__quarter + , subq_12.booking__ds__year + , subq_12.booking__ds__extract_year + , subq_12.booking__ds__extract_quarter + , subq_12.booking__ds__extract_month + , subq_12.booking__ds__extract_day + , subq_12.booking__ds__extract_dow + , subq_12.booking__ds__extract_doy + , subq_12.booking__ds_partitioned__day + , subq_12.booking__ds_partitioned__week + , subq_12.booking__ds_partitioned__month + , subq_12.booking__ds_partitioned__quarter + , subq_12.booking__ds_partitioned__year + , subq_12.booking__ds_partitioned__extract_year + , subq_12.booking__ds_partitioned__extract_quarter + , subq_12.booking__ds_partitioned__extract_month + , subq_12.booking__ds_partitioned__extract_day + , subq_12.booking__ds_partitioned__extract_dow + , subq_12.booking__ds_partitioned__extract_doy + , subq_12.booking__paid_at__day + , subq_12.booking__paid_at__week + , subq_12.booking__paid_at__month + , subq_12.booking__paid_at__quarter + , subq_12.booking__paid_at__year + , subq_12.booking__paid_at__extract_year + , subq_12.booking__paid_at__extract_quarter + , subq_12.booking__paid_at__extract_month + , subq_12.booking__paid_at__extract_day + , subq_12.booking__paid_at__extract_dow + , subq_12.booking__paid_at__extract_doy + , subq_12.ds__day AS metric_time__day + , subq_12.ds__week AS metric_time__week + , subq_12.ds__month AS metric_time__month + , subq_12.ds__quarter AS metric_time__quarter + , subq_12.ds__year AS metric_time__year + , subq_12.ds__extract_year AS metric_time__extract_year + , subq_12.ds__extract_quarter AS metric_time__extract_quarter + , subq_12.ds__extract_month AS metric_time__extract_month + , subq_12.ds__extract_day AS metric_time__extract_day + , subq_12.ds__extract_dow AS metric_time__extract_dow + , subq_12.ds__extract_doy AS metric_time__extract_doy + , subq_12.listing + , subq_12.guest + , subq_12.host + , subq_12.booking__listing + , subq_12.booking__guest + , subq_12.booking__host + , subq_12.is_instant + , subq_12.booking__is_instant + , subq_12.bookings + , subq_12.instant_bookings + , subq_12.booking_value + , subq_12.max_booking_value + , subq_12.min_booking_value + , subq_12.bookers + , subq_12.average_booking_value + , subq_12.referred_bookings + , subq_12.median_booking_value + , subq_12.booking_value_p99 + , subq_12.discrete_booking_value_p99 + , subq_12.approximate_continuous_booking_value_p99 + , subq_12.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_12 + ) subq_13 + ) subq_14 + GROUP BY + subq_14.metric_time__day + ) subq_15 + ) subq_16 + ON + subq_11.metric_time__day = subq_16.metric_time__day + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_20.metric_time__day + , subq_20.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_19.metric_time__day + , SUM(subq_19.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_18.metric_time__day + , subq_18.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_17.ds__day + , subq_17.ds__week + , subq_17.ds__month + , subq_17.ds__quarter + , subq_17.ds__year + , subq_17.ds__extract_year + , subq_17.ds__extract_quarter + , subq_17.ds__extract_month + , subq_17.ds__extract_day + , subq_17.ds__extract_dow + , subq_17.ds__extract_doy + , subq_17.ds_partitioned__day + , subq_17.ds_partitioned__week + , subq_17.ds_partitioned__month + , subq_17.ds_partitioned__quarter + , subq_17.ds_partitioned__year + , subq_17.ds_partitioned__extract_year + , subq_17.ds_partitioned__extract_quarter + , subq_17.ds_partitioned__extract_month + , subq_17.ds_partitioned__extract_day + , subq_17.ds_partitioned__extract_dow + , subq_17.ds_partitioned__extract_doy + , subq_17.paid_at__day + , subq_17.paid_at__week + , subq_17.paid_at__month + , subq_17.paid_at__quarter + , subq_17.paid_at__year + , subq_17.paid_at__extract_year + , subq_17.paid_at__extract_quarter + , subq_17.paid_at__extract_month + , subq_17.paid_at__extract_day + , subq_17.paid_at__extract_dow + , subq_17.paid_at__extract_doy + , subq_17.booking__ds__day + , subq_17.booking__ds__week + , subq_17.booking__ds__month + , subq_17.booking__ds__quarter + , subq_17.booking__ds__year + , subq_17.booking__ds__extract_year + , subq_17.booking__ds__extract_quarter + , subq_17.booking__ds__extract_month + , subq_17.booking__ds__extract_day + , subq_17.booking__ds__extract_dow + , subq_17.booking__ds__extract_doy + , subq_17.booking__ds_partitioned__day + , subq_17.booking__ds_partitioned__week + , subq_17.booking__ds_partitioned__month + , subq_17.booking__ds_partitioned__quarter + , subq_17.booking__ds_partitioned__year + , subq_17.booking__ds_partitioned__extract_year + , subq_17.booking__ds_partitioned__extract_quarter + , subq_17.booking__ds_partitioned__extract_month + , subq_17.booking__ds_partitioned__extract_day + , subq_17.booking__ds_partitioned__extract_dow + , subq_17.booking__ds_partitioned__extract_doy + , subq_17.booking__paid_at__day + , subq_17.booking__paid_at__week + , subq_17.booking__paid_at__month + , subq_17.booking__paid_at__quarter + , subq_17.booking__paid_at__year + , subq_17.booking__paid_at__extract_year + , subq_17.booking__paid_at__extract_quarter + , subq_17.booking__paid_at__extract_month + , subq_17.booking__paid_at__extract_day + , subq_17.booking__paid_at__extract_dow + , subq_17.booking__paid_at__extract_doy + , subq_17.ds__day AS metric_time__day + , subq_17.ds__week AS metric_time__week + , subq_17.ds__month AS metric_time__month + , subq_17.ds__quarter AS metric_time__quarter + , subq_17.ds__year AS metric_time__year + , subq_17.ds__extract_year AS metric_time__extract_year + , subq_17.ds__extract_quarter AS metric_time__extract_quarter + , subq_17.ds__extract_month AS metric_time__extract_month + , subq_17.ds__extract_day AS metric_time__extract_day + , subq_17.ds__extract_dow AS metric_time__extract_dow + , subq_17.ds__extract_doy AS metric_time__extract_doy + , subq_17.listing + , subq_17.guest + , subq_17.host + , subq_17.booking__listing + , subq_17.booking__guest + , subq_17.booking__host + , subq_17.is_instant + , subq_17.booking__is_instant + , subq_17.bookings + , subq_17.instant_bookings + , subq_17.booking_value + , subq_17.max_booking_value + , subq_17.min_booking_value + , subq_17.bookers + , subq_17.average_booking_value + , subq_17.referred_bookings + , subq_17.median_booking_value + , subq_17.booking_value_p99 + , subq_17.discrete_booking_value_p99 + , subq_17.approximate_continuous_booking_value_p99 + , subq_17.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_17 + ) subq_18 + ) subq_19 + GROUP BY + subq_19.metric_time__day + ) subq_20 + ) subq_21 + ON + COALESCE(subq_11.metric_time__day, subq_16.metric_time__day) = subq_21.metric_time__day + GROUP BY + COALESCE(subq_11.metric_time__day, subq_16.metric_time__day, subq_21.metric_time__day) +) subq_22 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric__plan0_optimized.sql new file mode 100644 index 0000000000..97c8543446 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric__plan0_optimized.sql @@ -0,0 +1,111 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , non_referred + (instant * 1.0 / bookings) AS instant_plus_non_referred_bookings_pct +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_34.metric_time__day, subq_39.metric_time__day, subq_44.metric_time__day) AS metric_time__day + , MAX(subq_34.non_referred) AS non_referred + , MAX(subq_39.instant) AS instant + , MAX(subq_44.bookings) AS bookings + FROM ( + -- Compute Metrics via Expressions + SELECT + metric_time__day + , (bookings - ref_bookings) * 1.0 / bookings AS non_referred + FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_27.metric_time__day, subq_32.metric_time__day) AS metric_time__day + , MAX(subq_27.ref_bookings) AS ref_bookings + , MAX(subq_32.bookings) AS bookings + FROM ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(referred_bookings) AS ref_bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['referred_bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_25 + GROUP BY + metric_time__day + ) subq_27 + FULL OUTER JOIN ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_30 + GROUP BY + metric_time__day + ) subq_32 + ON + subq_27.metric_time__day = subq_32.metric_time__day + GROUP BY + COALESCE(subq_27.metric_time__day, subq_32.metric_time__day) + ) subq_33 + ) subq_34 + FULL OUTER JOIN ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(instant_bookings) AS instant + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['instant_bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_37 + GROUP BY + metric_time__day + ) subq_39 + ON + subq_34.metric_time__day = subq_39.metric_time__day + FULL OUTER JOIN ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_42 + GROUP BY + metric_time__day + ) subq_44 + ON + COALESCE(subq_34.metric_time__day, subq_39.metric_time__day) = subq_44.metric_time__day + GROUP BY + COALESCE(subq_34.metric_time__day, subq_39.metric_time__day, subq_44.metric_time__day) +) subq_45 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_offset_with_joined_where_constraint_not_selected__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_offset_with_joined_where_constraint_not_selected__plan0.sql new file mode 100644 index 0000000000..d02e51891b --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_offset_with_joined_where_constraint_not_selected__plan0.sql @@ -0,0 +1,361 @@ +-- Compute Metrics via Expressions +SELECT + subq_13.metric_time__day + , 2 * bookings_offset_once AS bookings_offset_twice +FROM ( + -- Pass Only Elements: + -- ['metric_time__day', 'bookings_offset_once'] + SELECT + subq_12.metric_time__day + , subq_12.bookings_offset_once + FROM ( + -- Constrain Output with WHERE + SELECT + subq_11.metric_time__day + , subq_11.booking__is_instant + , subq_11.bookings_offset_once + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_9.metric_time__day AS metric_time__day + , subq_8.booking__is_instant AS booking__is_instant + , subq_8.bookings_offset_once AS bookings_offset_once + FROM ( + -- Date Spine + SELECT + subq_10.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_10 + ) subq_9 + INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_7.metric_time__day + , subq_7.booking__is_instant + , 2 * bookings AS bookings_offset_once + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_6.metric_time__day + , subq_6.booking__is_instant + , subq_6.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_5.metric_time__day + , subq_5.booking__is_instant + , SUM(subq_5.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'booking__is_instant', 'metric_time__day'] + SELECT + subq_4.metric_time__day + , subq_4.booking__is_instant + , subq_4.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + DATE_ADD('day', -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + , subq_5.booking__is_instant + ) subq_6 + ) subq_7 + ) subq_8 + ON + DATE_ADD('day', -2, subq_9.metric_time__day) = subq_8.metric_time__day + ) subq_11 + WHERE booking__is_instant + ) subq_12 +) subq_13 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_offset_with_joined_where_constraint_not_selected__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_offset_with_joined_where_constraint_not_selected__plan0_optimized.sql new file mode 100644 index 0000000000..e949bb12a5 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_offset_with_joined_where_constraint_not_selected__plan0_optimized.sql @@ -0,0 +1,56 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , 2 * bookings_offset_once AS bookings_offset_twice +FROM ( + -- Constrain Output with WHERE + -- Pass Only Elements: + -- ['metric_time__day', 'bookings_offset_once'] + SELECT + metric_time__day + , bookings_offset_once + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_24.ds AS metric_time__day + , subq_22.booking__is_instant AS booking__is_instant + , subq_22.bookings_offset_once AS bookings_offset_once + FROM ***************************.mf_time_spine subq_24 + INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + metric_time__day + , booking__is_instant + , 2 * bookings AS bookings_offset_once + FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'booking__is_instant', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_17.ds AS metric_time__day + , subq_15.booking__is_instant AS booking__is_instant + , SUM(subq_15.bookings) AS bookings + FROM ***************************.mf_time_spine subq_17 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , is_instant AS booking__is_instant + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_15 + ON + DATE_ADD('day', -5, subq_17.ds) = subq_15.metric_time__day + GROUP BY + subq_17.ds + , subq_15.booking__is_instant + ) subq_21 + ) subq_22 + ON + DATE_ADD('day', -2, subq_24.ds) = subq_22.metric_time__day + ) subq_25 + WHERE booking__is_instant +) subq_27 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_with_offset_multiple_input_metrics__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_with_offset_multiple_input_metrics__plan0.sql new file mode 100644 index 0000000000..5fb0085985 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_with_offset_multiple_input_metrics__plan0.sql @@ -0,0 +1,473 @@ +-- Compute Metrics via Expressions +SELECT + subq_15.metric_time__day + , booking_fees - booking_fees_start_of_month AS booking_fees_since_start_of_month +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_8.metric_time__day, subq_14.metric_time__day) AS metric_time__day + , MAX(subq_8.booking_fees_start_of_month) AS booking_fees_start_of_month + , MAX(subq_14.booking_fees) AS booking_fees + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_6.metric_time__day AS metric_time__day + , subq_5.booking_fees_start_of_month AS booking_fees_start_of_month + FROM ( + -- Date Spine + SELECT + subq_7.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_7 + ) subq_6 + INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_4.metric_time__day + , booking_value * 0.05 AS booking_fees_start_of_month + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__day + , subq_3.booking_value + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , SUM(subq_2.booking_value) AS booking_value + FROM ( + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.booking_value + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + ) subq_3 + ) subq_4 + ) subq_5 + ON + DATE_TRUNC('month', subq_6.metric_time__day) = subq_5.metric_time__day + ) subq_8 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_13.metric_time__day + , booking_value * 0.05 AS booking_fees + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_12.metric_time__day + , subq_12.booking_value + FROM ( + -- Aggregate Measures + SELECT + subq_11.metric_time__day + , SUM(subq_11.booking_value) AS booking_value + FROM ( + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + SELECT + subq_10.metric_time__day + , subq_10.booking_value + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_9.ds__day + , subq_9.ds__week + , subq_9.ds__month + , subq_9.ds__quarter + , subq_9.ds__year + , subq_9.ds__extract_year + , subq_9.ds__extract_quarter + , subq_9.ds__extract_month + , subq_9.ds__extract_day + , subq_9.ds__extract_dow + , subq_9.ds__extract_doy + , subq_9.ds_partitioned__day + , subq_9.ds_partitioned__week + , subq_9.ds_partitioned__month + , subq_9.ds_partitioned__quarter + , subq_9.ds_partitioned__year + , subq_9.ds_partitioned__extract_year + , subq_9.ds_partitioned__extract_quarter + , subq_9.ds_partitioned__extract_month + , subq_9.ds_partitioned__extract_day + , subq_9.ds_partitioned__extract_dow + , subq_9.ds_partitioned__extract_doy + , subq_9.paid_at__day + , subq_9.paid_at__week + , subq_9.paid_at__month + , subq_9.paid_at__quarter + , subq_9.paid_at__year + , subq_9.paid_at__extract_year + , subq_9.paid_at__extract_quarter + , subq_9.paid_at__extract_month + , subq_9.paid_at__extract_day + , subq_9.paid_at__extract_dow + , subq_9.paid_at__extract_doy + , subq_9.booking__ds__day + , subq_9.booking__ds__week + , subq_9.booking__ds__month + , subq_9.booking__ds__quarter + , subq_9.booking__ds__year + , subq_9.booking__ds__extract_year + , subq_9.booking__ds__extract_quarter + , subq_9.booking__ds__extract_month + , subq_9.booking__ds__extract_day + , subq_9.booking__ds__extract_dow + , subq_9.booking__ds__extract_doy + , subq_9.booking__ds_partitioned__day + , subq_9.booking__ds_partitioned__week + , subq_9.booking__ds_partitioned__month + , subq_9.booking__ds_partitioned__quarter + , subq_9.booking__ds_partitioned__year + , subq_9.booking__ds_partitioned__extract_year + , subq_9.booking__ds_partitioned__extract_quarter + , subq_9.booking__ds_partitioned__extract_month + , subq_9.booking__ds_partitioned__extract_day + , subq_9.booking__ds_partitioned__extract_dow + , subq_9.booking__ds_partitioned__extract_doy + , subq_9.booking__paid_at__day + , subq_9.booking__paid_at__week + , subq_9.booking__paid_at__month + , subq_9.booking__paid_at__quarter + , subq_9.booking__paid_at__year + , subq_9.booking__paid_at__extract_year + , subq_9.booking__paid_at__extract_quarter + , subq_9.booking__paid_at__extract_month + , subq_9.booking__paid_at__extract_day + , subq_9.booking__paid_at__extract_dow + , subq_9.booking__paid_at__extract_doy + , subq_9.ds__day AS metric_time__day + , subq_9.ds__week AS metric_time__week + , subq_9.ds__month AS metric_time__month + , subq_9.ds__quarter AS metric_time__quarter + , subq_9.ds__year AS metric_time__year + , subq_9.ds__extract_year AS metric_time__extract_year + , subq_9.ds__extract_quarter AS metric_time__extract_quarter + , subq_9.ds__extract_month AS metric_time__extract_month + , subq_9.ds__extract_day AS metric_time__extract_day + , subq_9.ds__extract_dow AS metric_time__extract_dow + , subq_9.ds__extract_doy AS metric_time__extract_doy + , subq_9.listing + , subq_9.guest + , subq_9.host + , subq_9.booking__listing + , subq_9.booking__guest + , subq_9.booking__host + , subq_9.is_instant + , subq_9.booking__is_instant + , subq_9.bookings + , subq_9.instant_bookings + , subq_9.booking_value + , subq_9.max_booking_value + , subq_9.min_booking_value + , subq_9.bookers + , subq_9.average_booking_value + , subq_9.referred_bookings + , subq_9.median_booking_value + , subq_9.booking_value_p99 + , subq_9.discrete_booking_value_p99 + , subq_9.approximate_continuous_booking_value_p99 + , subq_9.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_9 + ) subq_10 + ) subq_11 + GROUP BY + subq_11.metric_time__day + ) subq_12 + ) subq_13 + ) subq_14 + ON + subq_8.metric_time__day = subq_14.metric_time__day + GROUP BY + COALESCE(subq_8.metric_time__day, subq_14.metric_time__day) +) subq_15 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_with_offset_multiple_input_metrics__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_with_offset_multiple_input_metrics__plan0_optimized.sql new file mode 100644 index 0000000000..d26294499f --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_derived_metric_with_offset_multiple_input_metrics__plan0_optimized.sql @@ -0,0 +1,64 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , booking_fees - booking_fees_start_of_month AS booking_fees_since_start_of_month +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_24.metric_time__day, subq_30.metric_time__day) AS metric_time__day + , MAX(subq_24.booking_fees_start_of_month) AS booking_fees_start_of_month + , MAX(subq_30.booking_fees) AS booking_fees + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_23.ds AS metric_time__day + , subq_21.booking_fees_start_of_month AS booking_fees_start_of_month + FROM ***************************.mf_time_spine subq_23 + INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + metric_time__day + , booking_value * 0.05 AS booking_fees_start_of_month + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , SUM(booking_value) AS booking_value + FROM ***************************.fct_bookings bookings_source_src_10001 + GROUP BY + DATE_TRUNC('day', ds) + ) subq_20 + ) subq_21 + ON + DATE_TRUNC('month', subq_23.ds) = subq_21.metric_time__day + ) subq_24 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + metric_time__day + , booking_value * 0.05 AS booking_fees + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , SUM(booking_value) AS booking_value + FROM ***************************.fct_bookings bookings_source_src_10001 + GROUP BY + DATE_TRUNC('day', ds) + ) subq_29 + ) subq_30 + ON + subq_24.metric_time__day = subq_30.metric_time__day + GROUP BY + COALESCE(subq_24.metric_time__day, subq_30.metric_time__day) +) subq_31 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets__plan0.sql new file mode 100644 index 0000000000..9dd2d000cc --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets__plan0.sql @@ -0,0 +1,340 @@ +-- Compute Metrics via Expressions +SELECT + subq_11.metric_time__day + , 2 * bookings_offset_once AS bookings_offset_twice +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_9.metric_time__day AS metric_time__day + , subq_8.bookings_offset_once AS bookings_offset_once + FROM ( + -- Date Spine + SELECT + subq_10.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_10 + ) subq_9 + INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_7.metric_time__day + , 2 * bookings AS bookings_offset_once + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_6.metric_time__day + , subq_6.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_4.metric_time__day + , subq_4.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + DATE_ADD('day', -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 + ) subq_7 + ) subq_8 + ON + DATE_ADD('day', -2, subq_9.metric_time__day) = subq_8.metric_time__day +) subq_11 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets__plan0_optimized.sql new file mode 100644 index 0000000000..9b5674304c --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets__plan0_optimized.sql @@ -0,0 +1,42 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , 2 * bookings_offset_once AS bookings_offset_twice +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_22.ds AS metric_time__day + , subq_20.bookings_offset_once AS bookings_offset_once + FROM ***************************.mf_time_spine subq_22 + INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + metric_time__day + , 2 * bookings AS bookings_offset_once + FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_15.ds AS metric_time__day + , SUM(subq_13.bookings) AS bookings + FROM ***************************.mf_time_spine subq_15 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_13 + ON + DATE_ADD('day', -5, subq_15.ds) = subq_13.metric_time__day + GROUP BY + subq_15.ds + ) subq_19 + ) subq_20 + ON + DATE_ADD('day', -2, subq_22.ds) = subq_20.metric_time__day +) subq_23 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0.sql new file mode 100644 index 0000000000..e9543a2a73 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0.sql @@ -0,0 +1,341 @@ +-- Compute Metrics via Expressions +SELECT + subq_11.metric_time__day + , 2 * bookings_offset_once AS bookings_offset_twice +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_9.metric_time__day AS metric_time__day + , subq_8.bookings_offset_once AS bookings_offset_once + FROM ( + -- Date Spine + SELECT + subq_10.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_10 + WHERE subq_10.ds BETWEEN timestamp '2020-01-12' AND timestamp '2020-01-13' + ) subq_9 + INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_7.metric_time__day + , 2 * bookings AS bookings_offset_once + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_6.metric_time__day + , subq_6.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_4.metric_time__day + , subq_4.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + DATE_ADD('day', -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 + ) subq_7 + ) subq_8 + ON + DATE_ADD('day', -2, subq_9.metric_time__day) = subq_8.metric_time__day +) subq_11 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0_optimized.sql new file mode 100644 index 0000000000..e00400a25b --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_time_constraint__plan0_optimized.sql @@ -0,0 +1,48 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , 2 * bookings_offset_once AS bookings_offset_twice +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_21.metric_time__day AS metric_time__day + , subq_20.bookings_offset_once AS bookings_offset_once + FROM ( + -- Date Spine + SELECT + ds AS metric_time__day + FROM ***************************.mf_time_spine subq_22 + WHERE ds BETWEEN timestamp '2020-01-12' AND timestamp '2020-01-13' + ) subq_21 + INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + metric_time__day + , 2 * bookings AS bookings_offset_once + FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_15.ds AS metric_time__day + , SUM(subq_13.bookings) AS bookings + FROM ***************************.mf_time_spine subq_15 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_13 + ON + DATE_ADD('day', -5, subq_15.ds) = subq_13.metric_time__day + GROUP BY + subq_15.ds + ) subq_19 + ) subq_20 + ON + DATE_ADD('day', -2, subq_21.metric_time__day) = subq_20.metric_time__day +) subq_23 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_where_constraint__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_where_constraint__plan0.sql new file mode 100644 index 0000000000..39198ed5f4 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_where_constraint__plan0.sql @@ -0,0 +1,347 @@ +-- Compute Metrics via Expressions +SELECT + subq_12.metric_time__day + , 2 * bookings_offset_once AS bookings_offset_twice +FROM ( + -- Constrain Output with WHERE + SELECT + subq_11.metric_time__day + , subq_11.bookings_offset_once + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_9.metric_time__day AS metric_time__day + , subq_8.bookings_offset_once AS bookings_offset_once + FROM ( + -- Date Spine + SELECT + subq_10.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_10 + ) subq_9 + INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_7.metric_time__day + , 2 * bookings AS bookings_offset_once + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_6.metric_time__day + , subq_6.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_4.metric_time__day + , subq_4.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + DATE_ADD('day', -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 + ) subq_7 + ) subq_8 + ON + DATE_ADD('day', -2, subq_9.metric_time__day) = subq_8.metric_time__day + ) subq_11 + WHERE metric_time__day = '2020-01-12' or metric_time__day = '2020-01-13' +) subq_12 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_where_constraint__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_where_constraint__plan0_optimized.sql new file mode 100644 index 0000000000..a594f89255 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_nested_offsets_with_where_constraint__plan0_optimized.sql @@ -0,0 +1,49 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , 2 * bookings_offset_once AS bookings_offset_twice +FROM ( + -- Constrain Output with WHERE + SELECT + metric_time__day + , bookings_offset_once + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_23.ds AS metric_time__day + , subq_21.bookings_offset_once AS bookings_offset_once + FROM ***************************.mf_time_spine subq_23 + INNER JOIN ( + -- Compute Metrics via Expressions + SELECT + metric_time__day + , 2 * bookings AS bookings_offset_once + FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_16.ds AS metric_time__day + , SUM(subq_14.bookings) AS bookings + FROM ***************************.mf_time_spine subq_16 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_14 + ON + DATE_ADD('day', -5, subq_16.ds) = subq_14.metric_time__day + GROUP BY + subq_16.ds + ) subq_20 + ) subq_21 + ON + DATE_ADD('day', -2, subq_23.ds) = subq_21.metric_time__day + ) subq_24 + WHERE metric_time__day = '2020-01-12' or metric_time__day = '2020-01-13' +) subq_25 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0.sql new file mode 100644 index 0000000000..3512e061f0 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0.sql @@ -0,0 +1,321 @@ +-- Compute Metrics via Expressions +SELECT + subq_7.metric_time__day + , bookings_5_days_ago AS bookings_5_day_lag +FROM ( + -- Compute Metrics via Expressions + SELECT + subq_6.metric_time__day + , subq_6.bookings AS bookings_5_days_ago + FROM ( + -- Aggregate Measures + SELECT + subq_5.metric_time__day + , SUM(subq_5.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_4.metric_time__day + , subq_4.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + WHERE subq_3.ds BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + DATE_ADD('day', -5, subq_2.metric_time__day) = subq_1.metric_time__day + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 +) subq_7 diff --git a/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0_optimized.sql b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0_optimized.sql new file mode 100644 index 0000000000..0473434ea6 --- /dev/null +++ b/metricflow/test/snapshots/test_derived_metric_rendering.py/SqlQueryPlan/Trino/test_time_offset_metric_with_time_constraint__plan0_optimized.sql @@ -0,0 +1,33 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , bookings_5_days_ago AS bookings_5_day_lag +FROM ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_10.metric_time__day AS metric_time__day + , SUM(subq_9.bookings) AS bookings_5_days_ago + FROM ( + -- Date Spine + SELECT + ds AS metric_time__day + FROM ***************************.mf_time_spine subq_11 + WHERE ds BETWEEN timestamp '2019-12-19' AND timestamp '2020-01-02' + ) subq_10 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_9 + ON + DATE_ADD('day', -5, subq_10.metric_time__day) = subq_9.metric_time__day + GROUP BY + subq_10.metric_time__day +) subq_15 diff --git a/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimension_values_with_a_join_and_a_filter__plan0.sql b/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimension_values_with_a_join_and_a_filter__plan0.sql new file mode 100644 index 0000000000..6442c922a7 --- /dev/null +++ b/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimension_values_with_a_join_and_a_filter__plan0.sql @@ -0,0 +1,231 @@ +-- Pass Only Elements: +-- ['user__home_state_latest', 'listing__is_lux_latest'] +SELECT + subq_4.listing__is_lux_latest + , subq_4.user__home_state_latest +FROM ( + -- Constrain Output with WHERE + SELECT + subq_3.ds__day + , subq_3.ds__week + , subq_3.ds__month + , subq_3.ds__quarter + , subq_3.ds__year + , subq_3.ds__extract_year + , subq_3.ds__extract_quarter + , subq_3.ds__extract_month + , subq_3.ds__extract_day + , subq_3.ds__extract_dow + , subq_3.ds__extract_doy + , subq_3.created_at__day + , subq_3.created_at__week + , subq_3.created_at__month + , subq_3.created_at__quarter + , subq_3.created_at__year + , subq_3.created_at__extract_year + , subq_3.created_at__extract_quarter + , subq_3.created_at__extract_month + , subq_3.created_at__extract_day + , subq_3.created_at__extract_dow + , subq_3.created_at__extract_doy + , subq_3.listing__ds__day + , subq_3.listing__ds__week + , subq_3.listing__ds__month + , subq_3.listing__ds__quarter + , subq_3.listing__ds__year + , subq_3.listing__ds__extract_year + , subq_3.listing__ds__extract_quarter + , subq_3.listing__ds__extract_month + , subq_3.listing__ds__extract_day + , subq_3.listing__ds__extract_dow + , subq_3.listing__ds__extract_doy + , subq_3.listing__created_at__day + , subq_3.listing__created_at__week + , subq_3.listing__created_at__month + , subq_3.listing__created_at__quarter + , subq_3.listing__created_at__year + , subq_3.listing__created_at__extract_year + , subq_3.listing__created_at__extract_quarter + , subq_3.listing__created_at__extract_month + , subq_3.listing__created_at__extract_day + , subq_3.listing__created_at__extract_dow + , subq_3.listing__created_at__extract_doy + , subq_3.listing + , subq_3.user + , subq_3.listing__user + , subq_3.country_latest + , subq_3.is_lux_latest + , subq_3.capacity_latest + , subq_3.listing__country_latest + , subq_3.listing__is_lux_latest + , subq_3.listing__capacity_latest + , subq_3.user__home_state_latest + , subq_3.listings + , subq_3.largest_listing + , subq_3.smallest_listing + FROM ( + -- Join Standard Outputs + SELECT + subq_0.ds__day AS ds__day + , subq_0.ds__week AS ds__week + , subq_0.ds__month AS ds__month + , subq_0.ds__quarter AS ds__quarter + , subq_0.ds__year AS ds__year + , subq_0.ds__extract_year AS ds__extract_year + , subq_0.ds__extract_quarter AS ds__extract_quarter + , subq_0.ds__extract_month AS ds__extract_month + , subq_0.ds__extract_day AS ds__extract_day + , subq_0.ds__extract_dow AS ds__extract_dow + , subq_0.ds__extract_doy AS ds__extract_doy + , subq_0.created_at__day AS created_at__day + , subq_0.created_at__week AS created_at__week + , subq_0.created_at__month AS created_at__month + , subq_0.created_at__quarter AS created_at__quarter + , subq_0.created_at__year AS created_at__year + , subq_0.created_at__extract_year AS created_at__extract_year + , subq_0.created_at__extract_quarter AS created_at__extract_quarter + , subq_0.created_at__extract_month AS created_at__extract_month + , subq_0.created_at__extract_day AS created_at__extract_day + , subq_0.created_at__extract_dow AS created_at__extract_dow + , subq_0.created_at__extract_doy AS created_at__extract_doy + , subq_0.listing__ds__day AS listing__ds__day + , subq_0.listing__ds__week AS listing__ds__week + , subq_0.listing__ds__month AS listing__ds__month + , subq_0.listing__ds__quarter AS listing__ds__quarter + , subq_0.listing__ds__year AS listing__ds__year + , subq_0.listing__ds__extract_year AS listing__ds__extract_year + , subq_0.listing__ds__extract_quarter AS listing__ds__extract_quarter + , subq_0.listing__ds__extract_month AS listing__ds__extract_month + , subq_0.listing__ds__extract_day AS listing__ds__extract_day + , subq_0.listing__ds__extract_dow AS listing__ds__extract_dow + , subq_0.listing__ds__extract_doy AS listing__ds__extract_doy + , subq_0.listing__created_at__day AS listing__created_at__day + , subq_0.listing__created_at__week AS listing__created_at__week + , subq_0.listing__created_at__month AS listing__created_at__month + , subq_0.listing__created_at__quarter AS listing__created_at__quarter + , subq_0.listing__created_at__year AS listing__created_at__year + , subq_0.listing__created_at__extract_year AS listing__created_at__extract_year + , subq_0.listing__created_at__extract_quarter AS listing__created_at__extract_quarter + , subq_0.listing__created_at__extract_month AS listing__created_at__extract_month + , subq_0.listing__created_at__extract_day AS listing__created_at__extract_day + , subq_0.listing__created_at__extract_dow AS listing__created_at__extract_dow + , subq_0.listing__created_at__extract_doy AS listing__created_at__extract_doy + , subq_0.listing AS listing + , subq_0.user AS user + , subq_0.listing__user AS listing__user + , subq_0.country_latest AS country_latest + , subq_0.is_lux_latest AS is_lux_latest + , subq_0.capacity_latest AS capacity_latest + , subq_0.listing__country_latest AS listing__country_latest + , subq_0.listing__is_lux_latest AS listing__is_lux_latest + , subq_0.listing__capacity_latest AS listing__capacity_latest + , subq_2.home_state_latest AS user__home_state_latest + , subq_0.listings AS listings + , subq_0.largest_listing AS largest_listing + , subq_0.smallest_listing AS smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_0 + FULL OUTER JOIN ( + -- Pass Only Elements: + -- ['home_state_latest', 'user'] + SELECT + subq_1.user + , subq_1.home_state_latest + FROM ( + -- Read Elements From Semantic Model 'users_latest' + SELECT + DATE_TRUNC('day', users_latest_src_10009.ds) AS ds_latest__day + , DATE_TRUNC('week', users_latest_src_10009.ds) AS ds_latest__week + , DATE_TRUNC('month', users_latest_src_10009.ds) AS ds_latest__month + , DATE_TRUNC('quarter', users_latest_src_10009.ds) AS ds_latest__quarter + , DATE_TRUNC('year', users_latest_src_10009.ds) AS ds_latest__year + , EXTRACT(year FROM users_latest_src_10009.ds) AS ds_latest__extract_year + , EXTRACT(quarter FROM users_latest_src_10009.ds) AS ds_latest__extract_quarter + , EXTRACT(month FROM users_latest_src_10009.ds) AS ds_latest__extract_month + , EXTRACT(day FROM users_latest_src_10009.ds) AS ds_latest__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10009.ds) AS ds_latest__extract_dow + , EXTRACT(doy FROM users_latest_src_10009.ds) AS ds_latest__extract_doy + , users_latest_src_10009.home_state_latest + , DATE_TRUNC('day', users_latest_src_10009.ds) AS user__ds_latest__day + , DATE_TRUNC('week', users_latest_src_10009.ds) AS user__ds_latest__week + , DATE_TRUNC('month', users_latest_src_10009.ds) AS user__ds_latest__month + , DATE_TRUNC('quarter', users_latest_src_10009.ds) AS user__ds_latest__quarter + , DATE_TRUNC('year', users_latest_src_10009.ds) AS user__ds_latest__year + , EXTRACT(year FROM users_latest_src_10009.ds) AS user__ds_latest__extract_year + , EXTRACT(quarter FROM users_latest_src_10009.ds) AS user__ds_latest__extract_quarter + , EXTRACT(month FROM users_latest_src_10009.ds) AS user__ds_latest__extract_month + , EXTRACT(day FROM users_latest_src_10009.ds) AS user__ds_latest__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10009.ds) AS user__ds_latest__extract_dow + , EXTRACT(doy FROM users_latest_src_10009.ds) AS user__ds_latest__extract_doy + , users_latest_src_10009.home_state_latest AS user__home_state_latest + , users_latest_src_10009.user_id AS user + FROM ***************************.dim_users_latest users_latest_src_10009 + ) subq_1 + ) subq_2 + ON + subq_0.user = subq_2.user + ) subq_3 + WHERE user__home_state_latest = 'us' +) subq_4 +GROUP BY + subq_4.listing__is_lux_latest + , subq_4.user__home_state_latest diff --git a/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimension_values_with_a_join_and_a_filter__plan0_optimized.sql b/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimension_values_with_a_join_and_a_filter__plan0_optimized.sql new file mode 100644 index 0000000000..533b86774d --- /dev/null +++ b/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimension_values_with_a_join_and_a_filter__plan0_optimized.sql @@ -0,0 +1,21 @@ +-- Constrain Output with WHERE +-- Pass Only Elements: +-- ['user__home_state_latest', 'listing__is_lux_latest'] +SELECT + listing__is_lux_latest + , user__home_state_latest +FROM ( + -- Join Standard Outputs + SELECT + listings_latest_src_10005.is_lux AS listing__is_lux_latest + , users_latest_src_10009.home_state_latest AS user__home_state_latest + FROM ***************************.dim_listings_latest listings_latest_src_10005 + FULL OUTER JOIN + ***************************.dim_users_latest users_latest_src_10009 + ON + listings_latest_src_10005.user_id = users_latest_src_10009.user_id +) subq_8 +WHERE user__home_state_latest = 'us' +GROUP BY + listing__is_lux_latest + , user__home_state_latest diff --git a/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0.sql b/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0.sql new file mode 100644 index 0000000000..77f81a9548 --- /dev/null +++ b/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0.sql @@ -0,0 +1,169 @@ +-- Pass Only Elements: +-- ['user__home_state_latest', 'listing__is_lux_latest'] +SELECT + subq_3.listing__is_lux_latest + , subq_3.user__home_state_latest +FROM ( + -- Join Standard Outputs + SELECT + subq_0.ds__day AS ds__day + , subq_0.ds__week AS ds__week + , subq_0.ds__month AS ds__month + , subq_0.ds__quarter AS ds__quarter + , subq_0.ds__year AS ds__year + , subq_0.ds__extract_year AS ds__extract_year + , subq_0.ds__extract_quarter AS ds__extract_quarter + , subq_0.ds__extract_month AS ds__extract_month + , subq_0.ds__extract_day AS ds__extract_day + , subq_0.ds__extract_dow AS ds__extract_dow + , subq_0.ds__extract_doy AS ds__extract_doy + , subq_0.created_at__day AS created_at__day + , subq_0.created_at__week AS created_at__week + , subq_0.created_at__month AS created_at__month + , subq_0.created_at__quarter AS created_at__quarter + , subq_0.created_at__year AS created_at__year + , subq_0.created_at__extract_year AS created_at__extract_year + , subq_0.created_at__extract_quarter AS created_at__extract_quarter + , subq_0.created_at__extract_month AS created_at__extract_month + , subq_0.created_at__extract_day AS created_at__extract_day + , subq_0.created_at__extract_dow AS created_at__extract_dow + , subq_0.created_at__extract_doy AS created_at__extract_doy + , subq_0.listing__ds__day AS listing__ds__day + , subq_0.listing__ds__week AS listing__ds__week + , subq_0.listing__ds__month AS listing__ds__month + , subq_0.listing__ds__quarter AS listing__ds__quarter + , subq_0.listing__ds__year AS listing__ds__year + , subq_0.listing__ds__extract_year AS listing__ds__extract_year + , subq_0.listing__ds__extract_quarter AS listing__ds__extract_quarter + , subq_0.listing__ds__extract_month AS listing__ds__extract_month + , subq_0.listing__ds__extract_day AS listing__ds__extract_day + , subq_0.listing__ds__extract_dow AS listing__ds__extract_dow + , subq_0.listing__ds__extract_doy AS listing__ds__extract_doy + , subq_0.listing__created_at__day AS listing__created_at__day + , subq_0.listing__created_at__week AS listing__created_at__week + , subq_0.listing__created_at__month AS listing__created_at__month + , subq_0.listing__created_at__quarter AS listing__created_at__quarter + , subq_0.listing__created_at__year AS listing__created_at__year + , subq_0.listing__created_at__extract_year AS listing__created_at__extract_year + , subq_0.listing__created_at__extract_quarter AS listing__created_at__extract_quarter + , subq_0.listing__created_at__extract_month AS listing__created_at__extract_month + , subq_0.listing__created_at__extract_day AS listing__created_at__extract_day + , subq_0.listing__created_at__extract_dow AS listing__created_at__extract_dow + , subq_0.listing__created_at__extract_doy AS listing__created_at__extract_doy + , subq_0.listing AS listing + , subq_0.user AS user + , subq_0.listing__user AS listing__user + , subq_0.country_latest AS country_latest + , subq_0.is_lux_latest AS is_lux_latest + , subq_0.capacity_latest AS capacity_latest + , subq_0.listing__country_latest AS listing__country_latest + , subq_0.listing__is_lux_latest AS listing__is_lux_latest + , subq_0.listing__capacity_latest AS listing__capacity_latest + , subq_2.home_state_latest AS user__home_state_latest + , subq_0.listings AS listings + , subq_0.largest_listing AS largest_listing + , subq_0.smallest_listing AS smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_0 + FULL OUTER JOIN ( + -- Pass Only Elements: + -- ['home_state_latest', 'user'] + SELECT + subq_1.user + , subq_1.home_state_latest + FROM ( + -- Read Elements From Semantic Model 'users_latest' + SELECT + DATE_TRUNC('day', users_latest_src_10009.ds) AS ds_latest__day + , DATE_TRUNC('week', users_latest_src_10009.ds) AS ds_latest__week + , DATE_TRUNC('month', users_latest_src_10009.ds) AS ds_latest__month + , DATE_TRUNC('quarter', users_latest_src_10009.ds) AS ds_latest__quarter + , DATE_TRUNC('year', users_latest_src_10009.ds) AS ds_latest__year + , EXTRACT(year FROM users_latest_src_10009.ds) AS ds_latest__extract_year + , EXTRACT(quarter FROM users_latest_src_10009.ds) AS ds_latest__extract_quarter + , EXTRACT(month FROM users_latest_src_10009.ds) AS ds_latest__extract_month + , EXTRACT(day FROM users_latest_src_10009.ds) AS ds_latest__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10009.ds) AS ds_latest__extract_dow + , EXTRACT(doy FROM users_latest_src_10009.ds) AS ds_latest__extract_doy + , users_latest_src_10009.home_state_latest + , DATE_TRUNC('day', users_latest_src_10009.ds) AS user__ds_latest__day + , DATE_TRUNC('week', users_latest_src_10009.ds) AS user__ds_latest__week + , DATE_TRUNC('month', users_latest_src_10009.ds) AS user__ds_latest__month + , DATE_TRUNC('quarter', users_latest_src_10009.ds) AS user__ds_latest__quarter + , DATE_TRUNC('year', users_latest_src_10009.ds) AS user__ds_latest__year + , EXTRACT(year FROM users_latest_src_10009.ds) AS user__ds_latest__extract_year + , EXTRACT(quarter FROM users_latest_src_10009.ds) AS user__ds_latest__extract_quarter + , EXTRACT(month FROM users_latest_src_10009.ds) AS user__ds_latest__extract_month + , EXTRACT(day FROM users_latest_src_10009.ds) AS user__ds_latest__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10009.ds) AS user__ds_latest__extract_dow + , EXTRACT(doy FROM users_latest_src_10009.ds) AS user__ds_latest__extract_doy + , users_latest_src_10009.home_state_latest AS user__home_state_latest + , users_latest_src_10009.user_id AS user + FROM ***************************.dim_users_latest users_latest_src_10009 + ) subq_1 + ) subq_2 + ON + subq_0.user = subq_2.user +) subq_3 +GROUP BY + subq_3.listing__is_lux_latest + , subq_3.user__home_state_latest diff --git a/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0_optimized.sql b/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0_optimized.sql new file mode 100644 index 0000000000..7f093b6070 --- /dev/null +++ b/metricflow/test/snapshots/test_distinct_values_to_sql.py/SqlQueryPlan/Trino/test_dimensions_requiring_join__plan0_optimized.sql @@ -0,0 +1,14 @@ +-- Join Standard Outputs +-- Pass Only Elements: +-- ['user__home_state_latest', 'listing__is_lux_latest'] +SELECT + listings_latest_src_10005.is_lux AS listing__is_lux_latest + , users_latest_src_10009.home_state_latest AS user__home_state_latest +FROM ***************************.dim_listings_latest listings_latest_src_10005 +FULL OUTER JOIN + ***************************.dim_users_latest users_latest_src_10009 +ON + listings_latest_src_10005.user_id = users_latest_src_10009.user_id +GROUP BY + listings_latest_src_10005.is_lux + , users_latest_src_10009.home_state_latest diff --git a/metricflow/test/snapshots/test_engine_specific_rendering.py/SqlQueryPlan/Trino/test_approximate_continuous_percentile_expr__plan0.sql b/metricflow/test/snapshots/test_engine_specific_rendering.py/SqlQueryPlan/Trino/test_approximate_continuous_percentile_expr__plan0.sql new file mode 100644 index 0000000000..5ad435c9e1 --- /dev/null +++ b/metricflow/test/snapshots/test_engine_specific_rendering.py/SqlQueryPlan/Trino/test_approximate_continuous_percentile_expr__plan0.sql @@ -0,0 +1,4 @@ +-- Test Approximate Continuous Percentile Expression +SELECT + approx_percentile(a.col0, 0.5) AS col0_percentile +FROM foo.bar a diff --git a/metricflow/test/snapshots/test_engine_specific_rendering.py/SqlQueryPlan/Trino/test_cast_to_timestamp__plan0.sql b/metricflow/test/snapshots/test_engine_specific_rendering.py/SqlQueryPlan/Trino/test_cast_to_timestamp__plan0.sql new file mode 100644 index 0000000000..c47396730d --- /dev/null +++ b/metricflow/test/snapshots/test_engine_specific_rendering.py/SqlQueryPlan/Trino/test_cast_to_timestamp__plan0.sql @@ -0,0 +1,4 @@ +-- Test Cast to Timestamp Expression +SELECT + CAST('2020-01-01' AS TIMESTAMP) AS col0 +FROM foo.bar a diff --git a/metricflow/test/snapshots/test_engine_specific_rendering.py/SqlQueryPlan/Trino/test_generate_uuid__plan0.sql b/metricflow/test/snapshots/test_engine_specific_rendering.py/SqlQueryPlan/Trino/test_generate_uuid__plan0.sql new file mode 100644 index 0000000000..ccdd1213e8 --- /dev/null +++ b/metricflow/test/snapshots/test_engine_specific_rendering.py/SqlQueryPlan/Trino/test_generate_uuid__plan0.sql @@ -0,0 +1,4 @@ +-- Test Generate UUID Expression +SELECT + uuid() AS uuid +FROM foo.bar a diff --git a/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_fill_nulls_with_0_multi_metric_query__query_output.txt b/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_fill_nulls_with_0_multi_metric_query__query_output.txt new file mode 100644 index 0000000000..15d152a963 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_fill_nulls_with_0_multi_metric_query__query_output.txt @@ -0,0 +1,41 @@ + metric_time__day bookings_fill_nulls_with_0 views +0 2019-11-27 0 NaN +1 2019-11-28 0 NaN +2 2019-11-29 0 NaN +3 2019-11-30 0 NaN +4 2019-12-01 1 NaN +5 2019-12-02 0 NaN +6 2019-12-03 0 NaN +7 2019-12-04 0 NaN +8 2019-12-05 0 NaN +9 2019-12-06 0 NaN +10 2019-12-07 0 NaN +11 2019-12-08 0 NaN +12 2019-12-09 0 NaN +13 2019-12-10 0 NaN +14 2019-12-11 0 NaN +15 2019-12-12 0 NaN +16 2019-12-13 0 NaN +17 2019-12-14 0 NaN +18 2019-12-15 0 NaN +19 2019-12-16 0 NaN +20 2019-12-17 0 NaN +21 2019-12-18 10 NaN +22 2019-12-19 18 NaN +23 2019-12-20 2 NaN +24 2019-12-21 0 NaN +25 2019-12-22 0 NaN +26 2019-12-23 0 NaN +27 2019-12-24 0 NaN +28 2019-12-25 0 NaN +29 2019-12-26 0 NaN +30 2019-12-27 0 NaN +31 2019-12-28 0 NaN +32 2019-12-29 0 NaN +33 2019-12-30 0 NaN +34 2019-12-31 0 NaN +35 2020-01-01 5 2.0 +36 2020-01-02 9 5.0 +37 2020-01-03 1 NaN +38 2020-01-04 0 1.0 +39 2020-01-05 0 1.0 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_fill_nulls_with_0_multi_metric_query_with_categorical_dimension__query_output.txt b/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_fill_nulls_with_0_multi_metric_query_with_categorical_dimension__query_output.txt new file mode 100644 index 0000000000..f5bb2ed4ba --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_fill_nulls_with_0_multi_metric_query_with_categorical_dimension__query_output.txt @@ -0,0 +1,16 @@ + metric_time__day listing__is_lux_latest bookings_fill_nulls_with_0_without_time_spine views +0 2019-12-01 True 1 NaN +1 2019-12-18 False 4 NaN +2 2019-12-18 True 6 NaN +3 2019-12-19 False 6 NaN +4 2019-12-19 True 6 NaN +5 2019-12-19 None 6 NaN +6 2019-12-20 True 2 NaN +7 2020-01-01 False 2 NaN +8 2020-01-01 True 3 2.0 +9 2020-01-02 False 3 3.0 +10 2020-01-02 True 3 1.0 +11 2020-01-02 None 3 1.0 +12 2020-01-03 True 1 NaN +13 2020-01-04 False 0 1.0 +14 2020-01-05 None 0 1.0 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_simple_fill_nulls_with_0_metric_time__query_output.txt b/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_simple_fill_nulls_with_0_metric_time__query_output.txt new file mode 100644 index 0000000000..7a4726bf18 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_simple_fill_nulls_with_0_metric_time__query_output.txt @@ -0,0 +1,41 @@ + metric_time__day bookings_fill_nulls_with_0 +0 2019-11-27 0 +1 2019-11-28 0 +2 2019-11-29 0 +3 2019-11-30 0 +4 2019-12-01 1 +5 2019-12-02 0 +6 2019-12-03 0 +7 2019-12-04 0 +8 2019-12-05 0 +9 2019-12-06 0 +10 2019-12-07 0 +11 2019-12-08 0 +12 2019-12-09 0 +13 2019-12-10 0 +14 2019-12-11 0 +15 2019-12-12 0 +16 2019-12-13 0 +17 2019-12-14 0 +18 2019-12-15 0 +19 2019-12-16 0 +20 2019-12-17 0 +21 2019-12-18 10 +22 2019-12-19 18 +23 2019-12-20 2 +24 2019-12-21 0 +25 2019-12-22 0 +26 2019-12-23 0 +27 2019-12-24 0 +28 2019-12-25 0 +29 2019-12-26 0 +30 2019-12-27 0 +31 2019-12-28 0 +32 2019-12-29 0 +33 2019-12-30 0 +34 2019-12-31 0 +35 2020-01-01 5 +36 2020-01-02 9 +37 2020-01-03 1 +38 2020-01-04 0 +39 2020-01-05 0 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_simple_fill_nulls_with_0_month__query_output.txt b/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_simple_fill_nulls_with_0_month__query_output.txt new file mode 100644 index 0000000000..7ddd9fa0ea --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_simple_fill_nulls_with_0_month__query_output.txt @@ -0,0 +1,25 @@ + metric_time__month bookings_fill_nulls_with_0 +0 2019-01-01 0 +1 2019-02-01 0 +2 2019-03-01 0 +3 2019-04-01 0 +4 2019-05-01 0 +5 2019-06-01 0 +6 2019-07-01 0 +7 2019-08-01 0 +8 2019-09-01 0 +9 2019-10-01 0 +10 2019-11-01 0 +11 2019-12-01 31 +12 2020-01-01 15 +13 2020-02-01 0 +14 2020-03-01 0 +15 2020-04-01 0 +16 2020-05-01 0 +17 2020-06-01 0 +18 2020-07-01 0 +19 2020-08-01 0 +20 2020-09-01 0 +21 2020-10-01 0 +22 2020-11-01 0 +23 2020-12-01 0 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_simple_join_to_time_spine__query_output.txt b/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_simple_join_to_time_spine__query_output.txt new file mode 100644 index 0000000000..2a91746dc1 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_0.py/str/Trino/test_simple_join_to_time_spine__query_output.txt @@ -0,0 +1,41 @@ + metric_time__day bookings_join_to_time_spine +0 2019-11-27 NaN +1 2019-11-28 NaN +2 2019-11-29 NaN +3 2019-11-30 NaN +4 2019-12-01 1.0 +5 2019-12-02 NaN +6 2019-12-03 NaN +7 2019-12-04 NaN +8 2019-12-05 NaN +9 2019-12-06 NaN +10 2019-12-07 NaN +11 2019-12-08 NaN +12 2019-12-09 NaN +13 2019-12-10 NaN +14 2019-12-11 NaN +15 2019-12-12 NaN +16 2019-12-13 NaN +17 2019-12-14 NaN +18 2019-12-15 NaN +19 2019-12-16 NaN +20 2019-12-17 NaN +21 2019-12-18 10.0 +22 2019-12-19 18.0 +23 2019-12-20 2.0 +24 2019-12-21 NaN +25 2019-12-22 NaN +26 2019-12-23 NaN +27 2019-12-24 NaN +28 2019-12-25 NaN +29 2019-12-26 NaN +30 2019-12-27 NaN +31 2019-12-28 NaN +32 2019-12-29 NaN +33 2019-12-30 NaN +34 2019-12-31 NaN +35 2020-01-01 5.0 +36 2020-01-02 9.0 +37 2020-01-03 1.0 +38 2020-01-04 NaN +39 2020-01-05 NaN diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_cumulative_fill_nulls__plan0.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_cumulative_fill_nulls__plan0.sql new file mode 100644 index 0000000000..69b679c136 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_cumulative_fill_nulls__plan0.sql @@ -0,0 +1,342 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , COALESCE(subq_9.bookers, 0) AS every_two_days_bookers_fill_nulls_with_0 +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_7.metric_time__day AS metric_time__day + , subq_6.bookers AS bookers + FROM ( + -- Date Spine + SELECT + subq_8.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_8 + ) subq_7 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_5.metric_time__day + , COUNT(DISTINCT subq_5.bookers) AS bookers + FROM ( + -- Pass Only Elements: + -- ['bookers', 'metric_time__day'] + SELECT + subq_4.metric_time__day + , subq_4.bookers + FROM ( + -- Join Self Over Time Range + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_1.ds__day AS ds__day + , subq_1.ds__week AS ds__week + , subq_1.ds__month AS ds__month + , subq_1.ds__quarter AS ds__quarter + , subq_1.ds__year AS ds__year + , subq_1.ds__extract_year AS ds__extract_year + , subq_1.ds__extract_quarter AS ds__extract_quarter + , subq_1.ds__extract_month AS ds__extract_month + , subq_1.ds__extract_day AS ds__extract_day + , subq_1.ds__extract_dow AS ds__extract_dow + , subq_1.ds__extract_doy AS ds__extract_doy + , subq_1.ds_partitioned__day AS ds_partitioned__day + , subq_1.ds_partitioned__week AS ds_partitioned__week + , subq_1.ds_partitioned__month AS ds_partitioned__month + , subq_1.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_1.ds_partitioned__year AS ds_partitioned__year + , subq_1.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_1.paid_at__day AS paid_at__day + , subq_1.paid_at__week AS paid_at__week + , subq_1.paid_at__month AS paid_at__month + , subq_1.paid_at__quarter AS paid_at__quarter + , subq_1.paid_at__year AS paid_at__year + , subq_1.paid_at__extract_year AS paid_at__extract_year + , subq_1.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_1.paid_at__extract_month AS paid_at__extract_month + , subq_1.paid_at__extract_day AS paid_at__extract_day + , subq_1.paid_at__extract_dow AS paid_at__extract_dow + , subq_1.paid_at__extract_doy AS paid_at__extract_doy + , subq_1.booking__ds__day AS booking__ds__day + , subq_1.booking__ds__week AS booking__ds__week + , subq_1.booking__ds__month AS booking__ds__month + , subq_1.booking__ds__quarter AS booking__ds__quarter + , subq_1.booking__ds__year AS booking__ds__year + , subq_1.booking__ds__extract_year AS booking__ds__extract_year + , subq_1.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_1.booking__ds__extract_month AS booking__ds__extract_month + , subq_1.booking__ds__extract_day AS booking__ds__extract_day + , subq_1.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_1.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day AS booking__paid_at__day + , subq_1.booking__paid_at__week AS booking__paid_at__week + , subq_1.booking__paid_at__month AS booking__paid_at__month + , subq_1.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_1.booking__paid_at__year AS booking__paid_at__year + , subq_1.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_1.metric_time__week AS metric_time__week + , subq_1.metric_time__month AS metric_time__month + , subq_1.metric_time__quarter AS metric_time__quarter + , subq_1.metric_time__year AS metric_time__year + , subq_1.metric_time__extract_year AS metric_time__extract_year + , subq_1.metric_time__extract_quarter AS metric_time__extract_quarter + , subq_1.metric_time__extract_month AS metric_time__extract_month + , subq_1.metric_time__extract_day AS metric_time__extract_day + , subq_1.metric_time__extract_dow AS metric_time__extract_dow + , subq_1.metric_time__extract_doy AS metric_time__extract_doy + , subq_1.listing AS listing + , subq_1.guest AS guest + , subq_1.host AS host + , subq_1.booking__listing AS booking__listing + , subq_1.booking__guest AS booking__guest + , subq_1.booking__host AS booking__host + , subq_1.is_instant AS is_instant + , subq_1.booking__is_instant AS booking__is_instant + , subq_1.bookings AS bookings + , subq_1.instant_bookings AS instant_bookings + , subq_1.booking_value AS booking_value + , subq_1.max_booking_value AS max_booking_value + , subq_1.min_booking_value AS min_booking_value + , subq_1.bookers AS bookers + , subq_1.average_booking_value AS average_booking_value + , subq_1.referred_bookings AS referred_bookings + , subq_1.median_booking_value AS median_booking_value + , subq_1.booking_value_p99 AS booking_value_p99 + , subq_1.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_3.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_3 + ) subq_2 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ON + ( + subq_1.metric_time__day <= subq_2.metric_time__day + ) AND ( + subq_1.metric_time__day > DATE_ADD('day', -2, subq_2.metric_time__day) + ) + ) subq_4 + ) subq_5 + GROUP BY + subq_5.metric_time__day + ) subq_6 + ON + subq_7.metric_time__day = subq_6.metric_time__day +) subq_9 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_cumulative_fill_nulls__plan0_optimized.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_cumulative_fill_nulls__plan0_optimized.sql new file mode 100644 index 0000000000..46495e1c9e --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_cumulative_fill_nulls__plan0_optimized.sql @@ -0,0 +1,33 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , COALESCE(bookers, 0) AS every_two_days_bookers_fill_nulls_with_0 +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_18.ds AS metric_time__day + , subq_16.bookers AS bookers + FROM ***************************.mf_time_spine subq_18 + LEFT OUTER JOIN ( + -- Join Self Over Time Range + -- Pass Only Elements: + -- ['bookers', 'metric_time__day'] + -- Aggregate Measures + SELECT + subq_13.ds AS metric_time__day + , COUNT(DISTINCT bookings_source_src_10001.guest_id) AS bookers + FROM ***************************.mf_time_spine subq_13 + INNER JOIN + ***************************.fct_bookings bookings_source_src_10001 + ON + ( + DATE_TRUNC('day', bookings_source_src_10001.ds) <= subq_13.ds + ) AND ( + DATE_TRUNC('day', bookings_source_src_10001.ds) > DATE_ADD('day', -2, subq_13.ds) + ) + GROUP BY + subq_13.ds + ) subq_16 + ON + subq_18.ds = subq_16.metric_time__day +) subq_19 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_derived_fill_nulls_for_one_input_metric__plan0.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_derived_fill_nulls_for_one_input_metric__plan0.sql new file mode 100644 index 0000000000..f477645da3 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_derived_fill_nulls_for_one_input_metric__plan0.sql @@ -0,0 +1,561 @@ +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day + , bookings_fill_nulls_with_0 - bookings_2_weeks_ago AS bookings_growth_2_weeks_fill_nulls_with_0_for_non_offset +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_7.metric_time__day, subq_15.metric_time__day) AS metric_time__day + , COALESCE(MAX(subq_7.bookings_fill_nulls_with_0), 0) AS bookings_fill_nulls_with_0 + , MAX(subq_15.bookings_2_weeks_ago) AS bookings_2_weeks_ago + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_6.metric_time__day + , COALESCE(subq_6.bookings, 0) AS bookings_fill_nulls_with_0 + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_4.metric_time__day AS metric_time__day + , subq_3.bookings AS bookings + FROM ( + -- Date Spine + SELECT + subq_5.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_5 + ) subq_4 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + ) subq_3 + ON + subq_4.metric_time__day = subq_3.metric_time__day + ) subq_6 + ) subq_7 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_14.metric_time__day + , subq_14.bookings AS bookings_2_weeks_ago + FROM ( + -- Aggregate Measures + SELECT + subq_13.metric_time__day + , SUM(subq_13.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_12.metric_time__day + , subq_12.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_10.metric_time__day AS metric_time__day + , subq_9.ds__day AS ds__day + , subq_9.ds__week AS ds__week + , subq_9.ds__month AS ds__month + , subq_9.ds__quarter AS ds__quarter + , subq_9.ds__year AS ds__year + , subq_9.ds__extract_year AS ds__extract_year + , subq_9.ds__extract_quarter AS ds__extract_quarter + , subq_9.ds__extract_month AS ds__extract_month + , subq_9.ds__extract_day AS ds__extract_day + , subq_9.ds__extract_dow AS ds__extract_dow + , subq_9.ds__extract_doy AS ds__extract_doy + , subq_9.ds_partitioned__day AS ds_partitioned__day + , subq_9.ds_partitioned__week AS ds_partitioned__week + , subq_9.ds_partitioned__month AS ds_partitioned__month + , subq_9.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_9.ds_partitioned__year AS ds_partitioned__year + , subq_9.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_9.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_9.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_9.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_9.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_9.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_9.paid_at__day AS paid_at__day + , subq_9.paid_at__week AS paid_at__week + , subq_9.paid_at__month AS paid_at__month + , subq_9.paid_at__quarter AS paid_at__quarter + , subq_9.paid_at__year AS paid_at__year + , subq_9.paid_at__extract_year AS paid_at__extract_year + , subq_9.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_9.paid_at__extract_month AS paid_at__extract_month + , subq_9.paid_at__extract_day AS paid_at__extract_day + , subq_9.paid_at__extract_dow AS paid_at__extract_dow + , subq_9.paid_at__extract_doy AS paid_at__extract_doy + , subq_9.booking__ds__day AS booking__ds__day + , subq_9.booking__ds__week AS booking__ds__week + , subq_9.booking__ds__month AS booking__ds__month + , subq_9.booking__ds__quarter AS booking__ds__quarter + , subq_9.booking__ds__year AS booking__ds__year + , subq_9.booking__ds__extract_year AS booking__ds__extract_year + , subq_9.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_9.booking__ds__extract_month AS booking__ds__extract_month + , subq_9.booking__ds__extract_day AS booking__ds__extract_day + , subq_9.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_9.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_9.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_9.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_9.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_9.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_9.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_9.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_9.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_9.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_9.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_9.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_9.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_9.booking__paid_at__day AS booking__paid_at__day + , subq_9.booking__paid_at__week AS booking__paid_at__week + , subq_9.booking__paid_at__month AS booking__paid_at__month + , subq_9.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_9.booking__paid_at__year AS booking__paid_at__year + , subq_9.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_9.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_9.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_9.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_9.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_9.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_9.listing AS listing + , subq_9.guest AS guest + , subq_9.host AS host + , subq_9.booking__listing AS booking__listing + , subq_9.booking__guest AS booking__guest + , subq_9.booking__host AS booking__host + , subq_9.is_instant AS is_instant + , subq_9.booking__is_instant AS booking__is_instant + , subq_9.bookings AS bookings + , subq_9.instant_bookings AS instant_bookings + , subq_9.booking_value AS booking_value + , subq_9.max_booking_value AS max_booking_value + , subq_9.min_booking_value AS min_booking_value + , subq_9.bookers AS bookers + , subq_9.average_booking_value AS average_booking_value + , subq_9.referred_bookings AS referred_bookings + , subq_9.median_booking_value AS median_booking_value + , subq_9.booking_value_p99 AS booking_value_p99 + , subq_9.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_9.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_9.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_11.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_11 + ) subq_10 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_8.ds__day + , subq_8.ds__week + , subq_8.ds__month + , subq_8.ds__quarter + , subq_8.ds__year + , subq_8.ds__extract_year + , subq_8.ds__extract_quarter + , subq_8.ds__extract_month + , subq_8.ds__extract_day + , subq_8.ds__extract_dow + , subq_8.ds__extract_doy + , subq_8.ds_partitioned__day + , subq_8.ds_partitioned__week + , subq_8.ds_partitioned__month + , subq_8.ds_partitioned__quarter + , subq_8.ds_partitioned__year + , subq_8.ds_partitioned__extract_year + , subq_8.ds_partitioned__extract_quarter + , subq_8.ds_partitioned__extract_month + , subq_8.ds_partitioned__extract_day + , subq_8.ds_partitioned__extract_dow + , subq_8.ds_partitioned__extract_doy + , subq_8.paid_at__day + , subq_8.paid_at__week + , subq_8.paid_at__month + , subq_8.paid_at__quarter + , subq_8.paid_at__year + , subq_8.paid_at__extract_year + , subq_8.paid_at__extract_quarter + , subq_8.paid_at__extract_month + , subq_8.paid_at__extract_day + , subq_8.paid_at__extract_dow + , subq_8.paid_at__extract_doy + , subq_8.booking__ds__day + , subq_8.booking__ds__week + , subq_8.booking__ds__month + , subq_8.booking__ds__quarter + , subq_8.booking__ds__year + , subq_8.booking__ds__extract_year + , subq_8.booking__ds__extract_quarter + , subq_8.booking__ds__extract_month + , subq_8.booking__ds__extract_day + , subq_8.booking__ds__extract_dow + , subq_8.booking__ds__extract_doy + , subq_8.booking__ds_partitioned__day + , subq_8.booking__ds_partitioned__week + , subq_8.booking__ds_partitioned__month + , subq_8.booking__ds_partitioned__quarter + , subq_8.booking__ds_partitioned__year + , subq_8.booking__ds_partitioned__extract_year + , subq_8.booking__ds_partitioned__extract_quarter + , subq_8.booking__ds_partitioned__extract_month + , subq_8.booking__ds_partitioned__extract_day + , subq_8.booking__ds_partitioned__extract_dow + , subq_8.booking__ds_partitioned__extract_doy + , subq_8.booking__paid_at__day + , subq_8.booking__paid_at__week + , subq_8.booking__paid_at__month + , subq_8.booking__paid_at__quarter + , subq_8.booking__paid_at__year + , subq_8.booking__paid_at__extract_year + , subq_8.booking__paid_at__extract_quarter + , subq_8.booking__paid_at__extract_month + , subq_8.booking__paid_at__extract_day + , subq_8.booking__paid_at__extract_dow + , subq_8.booking__paid_at__extract_doy + , subq_8.ds__day AS metric_time__day + , subq_8.ds__week AS metric_time__week + , subq_8.ds__month AS metric_time__month + , subq_8.ds__quarter AS metric_time__quarter + , subq_8.ds__year AS metric_time__year + , subq_8.ds__extract_year AS metric_time__extract_year + , subq_8.ds__extract_quarter AS metric_time__extract_quarter + , subq_8.ds__extract_month AS metric_time__extract_month + , subq_8.ds__extract_day AS metric_time__extract_day + , subq_8.ds__extract_dow AS metric_time__extract_dow + , subq_8.ds__extract_doy AS metric_time__extract_doy + , subq_8.listing + , subq_8.guest + , subq_8.host + , subq_8.booking__listing + , subq_8.booking__guest + , subq_8.booking__host + , subq_8.is_instant + , subq_8.booking__is_instant + , subq_8.bookings + , subq_8.instant_bookings + , subq_8.booking_value + , subq_8.max_booking_value + , subq_8.min_booking_value + , subq_8.bookers + , subq_8.average_booking_value + , subq_8.referred_bookings + , subq_8.median_booking_value + , subq_8.booking_value_p99 + , subq_8.discrete_booking_value_p99 + , subq_8.approximate_continuous_booking_value_p99 + , subq_8.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_8 + ) subq_9 + ON + DATE_ADD('day', -14, subq_10.metric_time__day) = subq_9.metric_time__day + ) subq_12 + ) subq_13 + GROUP BY + subq_13.metric_time__day + ) subq_14 + ) subq_15 + ON + subq_7.metric_time__day = subq_15.metric_time__day + GROUP BY + COALESCE(subq_7.metric_time__day, subq_15.metric_time__day) +) subq_16 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_derived_fill_nulls_for_one_input_metric__plan0_optimized.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_derived_fill_nulls_for_one_input_metric__plan0_optimized.sql new file mode 100644 index 0000000000..070f4444b9 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_derived_fill_nulls_for_one_input_metric__plan0_optimized.sql @@ -0,0 +1,71 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , bookings_fill_nulls_with_0 - bookings_2_weeks_ago AS bookings_growth_2_weeks_fill_nulls_with_0_for_non_offset +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_24.metric_time__day, subq_32.metric_time__day) AS metric_time__day + , COALESCE(MAX(subq_24.bookings_fill_nulls_with_0), 0) AS bookings_fill_nulls_with_0 + , MAX(subq_32.bookings_2_weeks_ago) AS bookings_2_weeks_ago + FROM ( + -- Compute Metrics via Expressions + SELECT + metric_time__day + , COALESCE(bookings, 0) AS bookings_fill_nulls_with_0 + FROM ( + -- Join to Time Spine Dataset + SELECT + subq_22.ds AS metric_time__day + , subq_20.bookings AS bookings + FROM ***************************.mf_time_spine subq_22 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_19 + GROUP BY + metric_time__day + ) subq_20 + ON + subq_22.ds = subq_20.metric_time__day + ) subq_23 + ) subq_24 + FULL OUTER JOIN ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + subq_28.ds AS metric_time__day + , SUM(subq_26.bookings) AS bookings_2_weeks_ago + FROM ***************************.mf_time_spine subq_28 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_26 + ON + DATE_ADD('day', -14, subq_28.ds) = subq_26.metric_time__day + GROUP BY + subq_28.ds + ) subq_32 + ON + subq_24.metric_time__day = subq_32.metric_time__day + GROUP BY + COALESCE(subq_24.metric_time__day, subq_32.metric_time__day) +) subq_33 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_metric_time__plan0.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_metric_time__plan0.sql new file mode 100644 index 0000000000..8de2818d2b --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_metric_time__plan0.sql @@ -0,0 +1,228 @@ +-- Compute Metrics via Expressions +SELECT + subq_6.metric_time__day + , COALESCE(subq_6.bookings, 0) AS bookings_fill_nulls_with_0 +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_4.metric_time__day AS metric_time__day + , subq_3.bookings AS bookings + FROM ( + -- Date Spine + SELECT + subq_5.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_5 + ) subq_4 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + ) subq_3 + ON + subq_4.metric_time__day = subq_3.metric_time__day +) subq_6 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_metric_time__plan0_optimized.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_metric_time__plan0_optimized.sql new file mode 100644 index 0000000000..adeb9c3151 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_metric_time__plan0_optimized.sql @@ -0,0 +1,31 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , COALESCE(bookings, 0) AS bookings_fill_nulls_with_0 +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_12.ds AS metric_time__day + , subq_10.bookings AS bookings + FROM ***************************.mf_time_spine subq_12 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_9 + GROUP BY + metric_time__day + ) subq_10 + ON + subq_12.ds = subq_10.metric_time__day +) subq_13 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_month__plan0.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_month__plan0.sql new file mode 100644 index 0000000000..b1d689ff06 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_month__plan0.sql @@ -0,0 +1,230 @@ +-- Compute Metrics via Expressions +SELECT + subq_6.metric_time__month + , COALESCE(subq_6.bookings, 0) AS bookings_fill_nulls_with_0 +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_4.metric_time__month AS metric_time__month + , subq_3.bookings AS bookings + FROM ( + -- Date Spine + SELECT + DATE_TRUNC('month', subq_5.ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_5 + GROUP BY + DATE_TRUNC('month', subq_5.ds) + ) subq_4 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_2.metric_time__month + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__month'] + SELECT + subq_1.metric_time__month + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__month + ) subq_3 + ON + subq_4.metric_time__month = subq_3.metric_time__month +) subq_6 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_month__plan0_optimized.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_month__plan0_optimized.sql new file mode 100644 index 0000000000..9b48edbdd6 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_month__plan0_optimized.sql @@ -0,0 +1,38 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__month + , COALESCE(bookings, 0) AS bookings_fill_nulls_with_0 +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_11.metric_time__month AS metric_time__month + , subq_10.bookings AS bookings + FROM ( + -- Date Spine + SELECT + DATE_TRUNC('month', ds) AS metric_time__month + FROM ***************************.mf_time_spine subq_12 + GROUP BY + DATE_TRUNC('month', ds) + ) subq_11 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + metric_time__month + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__month'] + SELECT + DATE_TRUNC('month', ds) AS metric_time__month + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_9 + GROUP BY + metric_time__month + ) subq_10 + ON + subq_11.metric_time__month = subq_10.metric_time__month +) subq_13 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_categorical_dimension__plan0.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_categorical_dimension__plan0.sql new file mode 100644 index 0000000000..eefd911947 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_categorical_dimension__plan0.sql @@ -0,0 +1,214 @@ +-- Compute Metrics via Expressions +SELECT + subq_3.booking__is_instant + , COALESCE(subq_3.bookings, 0) AS bookings_fill_nulls_with_0 +FROM ( + -- Aggregate Measures + SELECT + subq_2.booking__is_instant + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'booking__is_instant'] + SELECT + subq_1.booking__is_instant + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.booking__is_instant +) subq_3 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_categorical_dimension__plan0_optimized.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_categorical_dimension__plan0_optimized.sql new file mode 100644 index 0000000000..f2e8924fa6 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_categorical_dimension__plan0_optimized.sql @@ -0,0 +1,22 @@ +-- Compute Metrics via Expressions +SELECT + booking__is_instant + , COALESCE(bookings, 0) AS bookings_fill_nulls_with_0 +FROM ( + -- Aggregate Measures + SELECT + booking__is_instant + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'booking__is_instant'] + SELECT + is_instant AS booking__is_instant + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_6 + GROUP BY + booking__is_instant +) subq_7 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_non_metric_time__plan0.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_non_metric_time__plan0.sql new file mode 100644 index 0000000000..ab39f91c86 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_non_metric_time__plan0.sql @@ -0,0 +1,214 @@ +-- Compute Metrics via Expressions +SELECT + subq_3.booking__paid_at__day + , COALESCE(subq_3.bookings, 0) AS bookings_fill_nulls_with_0 +FROM ( + -- Aggregate Measures + SELECT + subq_2.booking__paid_at__day + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'booking__paid_at__day'] + SELECT + subq_1.booking__paid_at__day + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.booking__paid_at__day +) subq_3 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_non_metric_time__plan0_optimized.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_non_metric_time__plan0_optimized.sql new file mode 100644 index 0000000000..52e3a373c3 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_with_0_with_non_metric_time__plan0_optimized.sql @@ -0,0 +1,22 @@ +-- Compute Metrics via Expressions +SELECT + booking__paid_at__day + , COALESCE(bookings, 0) AS bookings_fill_nulls_with_0 +FROM ( + -- Aggregate Measures + SELECT + booking__paid_at__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'booking__paid_at__day'] + SELECT + DATE_TRUNC('day', paid_at) AS booking__paid_at__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_6 + GROUP BY + booking__paid_at__day +) subq_7 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_without_time_spine__plan0.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_without_time_spine__plan0.sql new file mode 100644 index 0000000000..e08feb9c72 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_without_time_spine__plan0.sql @@ -0,0 +1,214 @@ +-- Compute Metrics via Expressions +SELECT + subq_3.metric_time__day + , COALESCE(subq_3.bookings, 0) AS bookings_fill_nulls_with_0_without_time_spine +FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day +) subq_3 diff --git a/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_without_time_spine__plan0_optimized.sql b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_without_time_spine__plan0_optimized.sql new file mode 100644 index 0000000000..a96360ac38 --- /dev/null +++ b/metricflow/test/snapshots/test_fill_nulls_with_rendering.py/SqlQueryPlan/Trino/test_simple_fill_nulls_without_time_spine__plan0_optimized.sql @@ -0,0 +1,22 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , COALESCE(bookings, 0) AS bookings_fill_nulls_with_0_without_time_spine +FROM ( + -- Aggregate Measures + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_6 + GROUP BY + metric_time__day +) subq_7 diff --git a/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_offset_window_with_date_part__plan0.sql b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_offset_window_with_date_part__plan0.sql new file mode 100644 index 0000000000..9d17d27426 --- /dev/null +++ b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_offset_window_with_date_part__plan0.sql @@ -0,0 +1,547 @@ +-- Compute Metrics via Expressions +SELECT + subq_13.metric_time__extract_dow + , bookings - bookings_2_weeks_ago AS bookings_growth_2_weeks +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_4.metric_time__extract_dow, subq_12.metric_time__extract_dow) AS metric_time__extract_dow + , MAX(subq_4.bookings) AS bookings + , MAX(subq_12.bookings_2_weeks_ago) AS bookings_2_weeks_ago + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__extract_dow + , subq_3.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__extract_dow + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__extract_dow'] + SELECT + subq_1.metric_time__extract_dow + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__extract_dow + ) subq_3 + ) subq_4 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_11.metric_time__extract_dow + , subq_11.bookings AS bookings_2_weeks_ago + FROM ( + -- Aggregate Measures + SELECT + subq_10.metric_time__extract_dow + , SUM(subq_10.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__extract_dow'] + SELECT + subq_9.metric_time__extract_dow + , subq_9.bookings + FROM ( + -- Join to Time Spine Dataset + SELECT + EXTRACT(DAY_OF_WEEK FROM subq_7.metric_time__day) AS metric_time__extract_dow + , subq_6.ds__day AS ds__day + , subq_6.ds__week AS ds__week + , subq_6.ds__month AS ds__month + , subq_6.ds__quarter AS ds__quarter + , subq_6.ds__year AS ds__year + , subq_6.ds__extract_year AS ds__extract_year + , subq_6.ds__extract_quarter AS ds__extract_quarter + , subq_6.ds__extract_month AS ds__extract_month + , subq_6.ds__extract_day AS ds__extract_day + , subq_6.ds__extract_dow AS ds__extract_dow + , subq_6.ds__extract_doy AS ds__extract_doy + , subq_6.ds_partitioned__day AS ds_partitioned__day + , subq_6.ds_partitioned__week AS ds_partitioned__week + , subq_6.ds_partitioned__month AS ds_partitioned__month + , subq_6.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_6.ds_partitioned__year AS ds_partitioned__year + , subq_6.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_6.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_6.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_6.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_6.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_6.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_6.paid_at__day AS paid_at__day + , subq_6.paid_at__week AS paid_at__week + , subq_6.paid_at__month AS paid_at__month + , subq_6.paid_at__quarter AS paid_at__quarter + , subq_6.paid_at__year AS paid_at__year + , subq_6.paid_at__extract_year AS paid_at__extract_year + , subq_6.paid_at__extract_quarter AS paid_at__extract_quarter + , subq_6.paid_at__extract_month AS paid_at__extract_month + , subq_6.paid_at__extract_day AS paid_at__extract_day + , subq_6.paid_at__extract_dow AS paid_at__extract_dow + , subq_6.paid_at__extract_doy AS paid_at__extract_doy + , subq_6.booking__ds__day AS booking__ds__day + , subq_6.booking__ds__week AS booking__ds__week + , subq_6.booking__ds__month AS booking__ds__month + , subq_6.booking__ds__quarter AS booking__ds__quarter + , subq_6.booking__ds__year AS booking__ds__year + , subq_6.booking__ds__extract_year AS booking__ds__extract_year + , subq_6.booking__ds__extract_quarter AS booking__ds__extract_quarter + , subq_6.booking__ds__extract_month AS booking__ds__extract_month + , subq_6.booking__ds__extract_day AS booking__ds__extract_day + , subq_6.booking__ds__extract_dow AS booking__ds__extract_dow + , subq_6.booking__ds__extract_doy AS booking__ds__extract_doy + , subq_6.booking__ds_partitioned__day AS booking__ds_partitioned__day + , subq_6.booking__ds_partitioned__week AS booking__ds_partitioned__week + , subq_6.booking__ds_partitioned__month AS booking__ds_partitioned__month + , subq_6.booking__ds_partitioned__quarter AS booking__ds_partitioned__quarter + , subq_6.booking__ds_partitioned__year AS booking__ds_partitioned__year + , subq_6.booking__ds_partitioned__extract_year AS booking__ds_partitioned__extract_year + , subq_6.booking__ds_partitioned__extract_quarter AS booking__ds_partitioned__extract_quarter + , subq_6.booking__ds_partitioned__extract_month AS booking__ds_partitioned__extract_month + , subq_6.booking__ds_partitioned__extract_day AS booking__ds_partitioned__extract_day + , subq_6.booking__ds_partitioned__extract_dow AS booking__ds_partitioned__extract_dow + , subq_6.booking__ds_partitioned__extract_doy AS booking__ds_partitioned__extract_doy + , subq_6.booking__paid_at__day AS booking__paid_at__day + , subq_6.booking__paid_at__week AS booking__paid_at__week + , subq_6.booking__paid_at__month AS booking__paid_at__month + , subq_6.booking__paid_at__quarter AS booking__paid_at__quarter + , subq_6.booking__paid_at__year AS booking__paid_at__year + , subq_6.booking__paid_at__extract_year AS booking__paid_at__extract_year + , subq_6.booking__paid_at__extract_quarter AS booking__paid_at__extract_quarter + , subq_6.booking__paid_at__extract_month AS booking__paid_at__extract_month + , subq_6.booking__paid_at__extract_day AS booking__paid_at__extract_day + , subq_6.booking__paid_at__extract_dow AS booking__paid_at__extract_dow + , subq_6.booking__paid_at__extract_doy AS booking__paid_at__extract_doy + , subq_6.listing AS listing + , subq_6.guest AS guest + , subq_6.host AS host + , subq_6.booking__listing AS booking__listing + , subq_6.booking__guest AS booking__guest + , subq_6.booking__host AS booking__host + , subq_6.is_instant AS is_instant + , subq_6.booking__is_instant AS booking__is_instant + , subq_6.bookings AS bookings + , subq_6.instant_bookings AS instant_bookings + , subq_6.booking_value AS booking_value + , subq_6.max_booking_value AS max_booking_value + , subq_6.min_booking_value AS min_booking_value + , subq_6.bookers AS bookers + , subq_6.average_booking_value AS average_booking_value + , subq_6.referred_bookings AS referred_bookings + , subq_6.median_booking_value AS median_booking_value + , subq_6.booking_value_p99 AS booking_value_p99 + , subq_6.discrete_booking_value_p99 AS discrete_booking_value_p99 + , subq_6.approximate_continuous_booking_value_p99 AS approximate_continuous_booking_value_p99 + , subq_6.approximate_discrete_booking_value_p99 AS approximate_discrete_booking_value_p99 + FROM ( + -- Date Spine + SELECT + subq_8.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_8 + ) subq_7 + INNER JOIN ( + -- Metric Time Dimension 'ds' + SELECT + subq_5.ds__day + , subq_5.ds__week + , subq_5.ds__month + , subq_5.ds__quarter + , subq_5.ds__year + , subq_5.ds__extract_year + , subq_5.ds__extract_quarter + , subq_5.ds__extract_month + , subq_5.ds__extract_day + , subq_5.ds__extract_dow + , subq_5.ds__extract_doy + , subq_5.ds_partitioned__day + , subq_5.ds_partitioned__week + , subq_5.ds_partitioned__month + , subq_5.ds_partitioned__quarter + , subq_5.ds_partitioned__year + , subq_5.ds_partitioned__extract_year + , subq_5.ds_partitioned__extract_quarter + , subq_5.ds_partitioned__extract_month + , subq_5.ds_partitioned__extract_day + , subq_5.ds_partitioned__extract_dow + , subq_5.ds_partitioned__extract_doy + , subq_5.paid_at__day + , subq_5.paid_at__week + , subq_5.paid_at__month + , subq_5.paid_at__quarter + , subq_5.paid_at__year + , subq_5.paid_at__extract_year + , subq_5.paid_at__extract_quarter + , subq_5.paid_at__extract_month + , subq_5.paid_at__extract_day + , subq_5.paid_at__extract_dow + , subq_5.paid_at__extract_doy + , subq_5.booking__ds__day + , subq_5.booking__ds__week + , subq_5.booking__ds__month + , subq_5.booking__ds__quarter + , subq_5.booking__ds__year + , subq_5.booking__ds__extract_year + , subq_5.booking__ds__extract_quarter + , subq_5.booking__ds__extract_month + , subq_5.booking__ds__extract_day + , subq_5.booking__ds__extract_dow + , subq_5.booking__ds__extract_doy + , subq_5.booking__ds_partitioned__day + , subq_5.booking__ds_partitioned__week + , subq_5.booking__ds_partitioned__month + , subq_5.booking__ds_partitioned__quarter + , subq_5.booking__ds_partitioned__year + , subq_5.booking__ds_partitioned__extract_year + , subq_5.booking__ds_partitioned__extract_quarter + , subq_5.booking__ds_partitioned__extract_month + , subq_5.booking__ds_partitioned__extract_day + , subq_5.booking__ds_partitioned__extract_dow + , subq_5.booking__ds_partitioned__extract_doy + , subq_5.booking__paid_at__day + , subq_5.booking__paid_at__week + , subq_5.booking__paid_at__month + , subq_5.booking__paid_at__quarter + , subq_5.booking__paid_at__year + , subq_5.booking__paid_at__extract_year + , subq_5.booking__paid_at__extract_quarter + , subq_5.booking__paid_at__extract_month + , subq_5.booking__paid_at__extract_day + , subq_5.booking__paid_at__extract_dow + , subq_5.booking__paid_at__extract_doy + , subq_5.ds__day AS metric_time__day + , subq_5.ds__week AS metric_time__week + , subq_5.ds__month AS metric_time__month + , subq_5.ds__quarter AS metric_time__quarter + , subq_5.ds__year AS metric_time__year + , subq_5.ds__extract_year AS metric_time__extract_year + , subq_5.ds__extract_quarter AS metric_time__extract_quarter + , subq_5.ds__extract_month AS metric_time__extract_month + , subq_5.ds__extract_day AS metric_time__extract_day + , subq_5.ds__extract_dow AS metric_time__extract_dow + , subq_5.ds__extract_doy AS metric_time__extract_doy + , subq_5.listing + , subq_5.guest + , subq_5.host + , subq_5.booking__listing + , subq_5.booking__guest + , subq_5.booking__host + , subq_5.is_instant + , subq_5.booking__is_instant + , subq_5.bookings + , subq_5.instant_bookings + , subq_5.booking_value + , subq_5.max_booking_value + , subq_5.min_booking_value + , subq_5.bookers + , subq_5.average_booking_value + , subq_5.referred_bookings + , subq_5.median_booking_value + , subq_5.booking_value_p99 + , subq_5.discrete_booking_value_p99 + , subq_5.approximate_continuous_booking_value_p99 + , subq_5.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_5 + ) subq_6 + ON + DATE_ADD('day', -14, subq_7.metric_time__day) = subq_6.metric_time__day + ) subq_9 + ) subq_10 + GROUP BY + subq_10.metric_time__extract_dow + ) subq_11 + ) subq_12 + ON + subq_4.metric_time__extract_dow = subq_12.metric_time__extract_dow + GROUP BY + COALESCE(subq_4.metric_time__extract_dow, subq_12.metric_time__extract_dow) +) subq_13 diff --git a/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_offset_window_with_date_part__plan0_optimized.sql b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_offset_window_with_date_part__plan0_optimized.sql new file mode 100644 index 0000000000..01ce251cdf --- /dev/null +++ b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_offset_window_with_date_part__plan0_optimized.sql @@ -0,0 +1,57 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__extract_dow + , bookings - bookings_2_weeks_ago AS bookings_growth_2_weeks +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_18.metric_time__extract_dow, subq_26.metric_time__extract_dow) AS metric_time__extract_dow + , MAX(subq_18.bookings) AS bookings + , MAX(subq_26.bookings_2_weeks_ago) AS bookings_2_weeks_ago + FROM ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__extract_dow + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__extract_dow'] + SELECT + EXTRACT(DAY_OF_WEEK FROM ds) AS metric_time__extract_dow + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_16 + GROUP BY + metric_time__extract_dow + ) subq_18 + FULL OUTER JOIN ( + -- Join to Time Spine Dataset + -- Pass Only Elements: + -- ['bookings', 'metric_time__extract_dow'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + EXTRACT(DAY_OF_WEEK FROM subq_22.ds) AS metric_time__extract_dow + , SUM(subq_20.bookings) AS bookings_2_weeks_ago + FROM ***************************.mf_time_spine subq_22 + INNER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_20 + ON + DATE_ADD('day', -14, subq_22.ds) = subq_20.metric_time__day + GROUP BY + EXTRACT(DAY_OF_WEEK FROM subq_22.ds) + ) subq_26 + ON + subq_18.metric_time__extract_dow = subq_26.metric_time__extract_dow + GROUP BY + COALESCE(subq_18.metric_time__extract_dow, subq_26.metric_time__extract_dow) +) subq_27 diff --git a/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_date_part__plan0.sql b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_date_part__plan0.sql new file mode 100644 index 0000000000..34e8a1db84 --- /dev/null +++ b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_date_part__plan0.sql @@ -0,0 +1,214 @@ +-- Compute Metrics via Expressions +SELECT + subq_3.metric_time__extract_dow + , subq_3.bookings +FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__extract_dow + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__extract_dow'] + SELECT + subq_1.metric_time__extract_dow + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__extract_dow +) subq_3 diff --git a/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_date_part__plan0_optimized.sql b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_date_part__plan0_optimized.sql new file mode 100644 index 0000000000..2466bb697d --- /dev/null +++ b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_date_part__plan0_optimized.sql @@ -0,0 +1,17 @@ +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + metric_time__extract_dow + , SUM(bookings) AS bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__extract_dow'] + SELECT + EXTRACT(DAY_OF_WEEK FROM ds) AS metric_time__extract_dow + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_6 +GROUP BY + metric_time__extract_dow diff --git a/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_multiple_date_parts__plan0.sql b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_multiple_date_parts__plan0.sql new file mode 100644 index 0000000000..2ed67b0ebb --- /dev/null +++ b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_multiple_date_parts__plan0.sql @@ -0,0 +1,240 @@ +-- Compute Metrics via Expressions +SELECT + subq_3.metric_time__extract_year + , subq_3.metric_time__extract_quarter + , subq_3.metric_time__extract_month + , subq_3.metric_time__extract_day + , subq_3.metric_time__extract_dow + , subq_3.metric_time__extract_doy + , subq_3.bookings +FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__extract_year + , subq_2.metric_time__extract_quarter + , subq_2.metric_time__extract_month + , subq_2.metric_time__extract_day + , subq_2.metric_time__extract_dow + , subq_2.metric_time__extract_doy + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', + -- 'metric_time__extract_day', + -- 'metric_time__extract_dow', + -- 'metric_time__extract_doy', + -- 'metric_time__extract_month', + -- 'metric_time__extract_quarter', + -- 'metric_time__extract_year'] + SELECT + subq_1.metric_time__extract_year + , subq_1.metric_time__extract_quarter + , subq_1.metric_time__extract_month + , subq_1.metric_time__extract_day + , subq_1.metric_time__extract_dow + , subq_1.metric_time__extract_doy + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__extract_year + , subq_2.metric_time__extract_quarter + , subq_2.metric_time__extract_month + , subq_2.metric_time__extract_day + , subq_2.metric_time__extract_dow + , subq_2.metric_time__extract_doy +) subq_3 diff --git a/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_multiple_date_parts__plan0_optimized.sql b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_multiple_date_parts__plan0_optimized.sql new file mode 100644 index 0000000000..8e17b03eb3 --- /dev/null +++ b/metricflow/test/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Trino/test_simple_query_with_multiple_date_parts__plan0_optimized.sql @@ -0,0 +1,38 @@ +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + metric_time__extract_year + , metric_time__extract_quarter + , metric_time__extract_month + , metric_time__extract_day + , metric_time__extract_dow + , metric_time__extract_doy + , SUM(bookings) AS bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', + -- 'metric_time__extract_day', + -- 'metric_time__extract_dow', + -- 'metric_time__extract_doy', + -- 'metric_time__extract_month', + -- 'metric_time__extract_quarter', + -- 'metric_time__extract_year'] + SELECT + EXTRACT(year FROM ds) AS metric_time__extract_year + , EXTRACT(quarter FROM ds) AS metric_time__extract_quarter + , EXTRACT(month FROM ds) AS metric_time__extract_month + , EXTRACT(day FROM ds) AS metric_time__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS metric_time__extract_dow + , EXTRACT(doy FROM ds) AS metric_time__extract_doy + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_6 +GROUP BY + metric_time__extract_year + , metric_time__extract_quarter + , metric_time__extract_month + , metric_time__extract_day + , metric_time__extract_dow + , metric_time__extract_doy diff --git a/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_non_primary_time__plan0.sql b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_non_primary_time__plan0.sql new file mode 100644 index 0000000000..28d7cd941d --- /dev/null +++ b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_non_primary_time__plan0.sql @@ -0,0 +1,181 @@ +-- Metric Time Dimension 'paid_at' +SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.paid_at__day AS metric_time__day + , subq_0.paid_at__week AS metric_time__week + , subq_0.paid_at__month AS metric_time__month + , subq_0.paid_at__quarter AS metric_time__quarter + , subq_0.paid_at__year AS metric_time__year + , subq_0.paid_at__extract_year AS metric_time__extract_year + , subq_0.paid_at__extract_quarter AS metric_time__extract_quarter + , subq_0.paid_at__extract_month AS metric_time__extract_month + , subq_0.paid_at__extract_day AS metric_time__extract_day + , subq_0.paid_at__extract_dow AS metric_time__extract_dow + , subq_0.paid_at__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.booking_payments +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_0 diff --git a/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_non_primary_time__plan0_optimized.sql b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_non_primary_time__plan0_optimized.sql new file mode 100644 index 0000000000..6a63f5fde6 --- /dev/null +++ b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_non_primary_time__plan0_optimized.sql @@ -0,0 +1,90 @@ +-- Read Elements From Semantic Model 'bookings_source' +-- Metric Time Dimension 'paid_at' +SELECT + DATE_TRUNC('day', ds) AS ds__day + , DATE_TRUNC('week', ds) AS ds__week + , DATE_TRUNC('month', ds) AS ds__month + , DATE_TRUNC('quarter', ds) AS ds__quarter + , DATE_TRUNC('year', ds) AS ds__year + , EXTRACT(year FROM ds) AS ds__extract_year + , EXTRACT(quarter FROM ds) AS ds__extract_quarter + , EXTRACT(month FROM ds) AS ds__extract_month + , EXTRACT(day FROM ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS ds__extract_dow + , EXTRACT(doy FROM ds) AS ds__extract_doy + , DATE_TRUNC('day', ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', paid_at) AS paid_at__day + , DATE_TRUNC('week', paid_at) AS paid_at__week + , DATE_TRUNC('month', paid_at) AS paid_at__month + , DATE_TRUNC('quarter', paid_at) AS paid_at__quarter + , DATE_TRUNC('year', paid_at) AS paid_at__year + , EXTRACT(year FROM paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM paid_at) AS paid_at__extract_month + , EXTRACT(day FROM paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM paid_at) AS paid_at__extract_doy + , DATE_TRUNC('day', ds) AS booking__ds__day + , DATE_TRUNC('week', ds) AS booking__ds__week + , DATE_TRUNC('month', ds) AS booking__ds__month + , DATE_TRUNC('quarter', ds) AS booking__ds__quarter + , DATE_TRUNC('year', ds) AS booking__ds__year + , EXTRACT(year FROM ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM ds) AS booking__ds__extract_month + , EXTRACT(day FROM ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', paid_at) AS booking__paid_at__year + , EXTRACT(year FROM paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM paid_at) AS booking__paid_at__extract_doy + , DATE_TRUNC('day', paid_at) AS metric_time__day + , DATE_TRUNC('week', paid_at) AS metric_time__week + , DATE_TRUNC('month', paid_at) AS metric_time__month + , DATE_TRUNC('quarter', paid_at) AS metric_time__quarter + , DATE_TRUNC('year', paid_at) AS metric_time__year + , EXTRACT(year FROM paid_at) AS metric_time__extract_year + , EXTRACT(quarter FROM paid_at) AS metric_time__extract_quarter + , EXTRACT(month FROM paid_at) AS metric_time__extract_month + , EXTRACT(day FROM paid_at) AS metric_time__extract_day + , EXTRACT(DAY_OF_WEEK FROM paid_at) AS metric_time__extract_dow + , EXTRACT(doy FROM paid_at) AS metric_time__extract_doy + , listing_id AS listing + , guest_id AS guest + , host_id AS host + , listing_id AS booking__listing + , guest_id AS booking__guest + , host_id AS booking__host + , is_instant + , is_instant AS booking__is_instant + , booking_value AS booking_payments +FROM ***************************.fct_bookings bookings_source_src_10001 diff --git a/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_primary_time__plan0.sql b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_primary_time__plan0.sql new file mode 100644 index 0000000000..1de66ca95f --- /dev/null +++ b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_primary_time__plan0.sql @@ -0,0 +1,193 @@ +-- Metric Time Dimension 'ds' +SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_0 diff --git a/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_primary_time__plan0_optimized.sql b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_primary_time__plan0_optimized.sql new file mode 100644 index 0000000000..8d46cda654 --- /dev/null +++ b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_metric_time_dimension_transform_node_using_primary_time__plan0_optimized.sql @@ -0,0 +1,102 @@ +-- Read Elements From Semantic Model 'bookings_source' +-- Metric Time Dimension 'ds' +SELECT + DATE_TRUNC('day', ds) AS ds__day + , DATE_TRUNC('week', ds) AS ds__week + , DATE_TRUNC('month', ds) AS ds__month + , DATE_TRUNC('quarter', ds) AS ds__quarter + , DATE_TRUNC('year', ds) AS ds__year + , EXTRACT(year FROM ds) AS ds__extract_year + , EXTRACT(quarter FROM ds) AS ds__extract_quarter + , EXTRACT(month FROM ds) AS ds__extract_month + , EXTRACT(day FROM ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS ds__extract_dow + , EXTRACT(doy FROM ds) AS ds__extract_doy + , DATE_TRUNC('day', ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', paid_at) AS paid_at__day + , DATE_TRUNC('week', paid_at) AS paid_at__week + , DATE_TRUNC('month', paid_at) AS paid_at__month + , DATE_TRUNC('quarter', paid_at) AS paid_at__quarter + , DATE_TRUNC('year', paid_at) AS paid_at__year + , EXTRACT(year FROM paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM paid_at) AS paid_at__extract_month + , EXTRACT(day FROM paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM paid_at) AS paid_at__extract_doy + , DATE_TRUNC('day', ds) AS booking__ds__day + , DATE_TRUNC('week', ds) AS booking__ds__week + , DATE_TRUNC('month', ds) AS booking__ds__month + , DATE_TRUNC('quarter', ds) AS booking__ds__quarter + , DATE_TRUNC('year', ds) AS booking__ds__year + , EXTRACT(year FROM ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM ds) AS booking__ds__extract_month + , EXTRACT(day FROM ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', paid_at) AS booking__paid_at__year + , EXTRACT(year FROM paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM paid_at) AS booking__paid_at__extract_doy + , DATE_TRUNC('day', ds) AS metric_time__day + , DATE_TRUNC('week', ds) AS metric_time__week + , DATE_TRUNC('month', ds) AS metric_time__month + , DATE_TRUNC('quarter', ds) AS metric_time__quarter + , DATE_TRUNC('year', ds) AS metric_time__year + , EXTRACT(year FROM ds) AS metric_time__extract_year + , EXTRACT(quarter FROM ds) AS metric_time__extract_quarter + , EXTRACT(month FROM ds) AS metric_time__extract_month + , EXTRACT(day FROM ds) AS metric_time__extract_day + , EXTRACT(DAY_OF_WEEK FROM ds) AS metric_time__extract_dow + , EXTRACT(doy FROM ds) AS metric_time__extract_doy + , listing_id AS listing + , guest_id AS guest + , host_id AS host + , listing_id AS booking__listing + , guest_id AS booking__guest + , host_id AS booking__host + , is_instant + , is_instant AS booking__is_instant + , 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , booking_value + , booking_value AS max_booking_value + , booking_value AS min_booking_value + , guest_id AS bookers + , booking_value AS average_booking_value + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , booking_value AS median_booking_value + , booking_value AS booking_value_p99 + , booking_value AS discrete_booking_value_p99 + , booking_value AS approximate_continuous_booking_value_p99 + , booking_value AS approximate_discrete_booking_value_p99 +FROM ***************************.fct_bookings bookings_source_src_10001 diff --git a/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_simple_query_with_metric_time_dimension__plan0.sql b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_simple_query_with_metric_time_dimension__plan0.sql new file mode 100644 index 0000000000..9c69a8dd8b --- /dev/null +++ b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_simple_query_with_metric_time_dimension__plan0.sql @@ -0,0 +1,429 @@ +-- Combine Aggregated Outputs +SELECT + COALESCE(subq_4.metric_time__day, subq_9.metric_time__day) AS metric_time__day + , MAX(subq_4.bookings) AS bookings + , MAX(subq_9.booking_payments) AS booking_payments +FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__day + , subq_3.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + ) subq_3 +) subq_4 +FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_8.metric_time__day + , subq_8.booking_payments + FROM ( + -- Aggregate Measures + SELECT + subq_7.metric_time__day + , SUM(subq_7.booking_payments) AS booking_payments + FROM ( + -- Pass Only Elements: + -- ['booking_payments', 'metric_time__day'] + SELECT + subq_6.metric_time__day + , subq_6.booking_payments + FROM ( + -- Metric Time Dimension 'paid_at' + SELECT + subq_5.ds__day + , subq_5.ds__week + , subq_5.ds__month + , subq_5.ds__quarter + , subq_5.ds__year + , subq_5.ds__extract_year + , subq_5.ds__extract_quarter + , subq_5.ds__extract_month + , subq_5.ds__extract_day + , subq_5.ds__extract_dow + , subq_5.ds__extract_doy + , subq_5.ds_partitioned__day + , subq_5.ds_partitioned__week + , subq_5.ds_partitioned__month + , subq_5.ds_partitioned__quarter + , subq_5.ds_partitioned__year + , subq_5.ds_partitioned__extract_year + , subq_5.ds_partitioned__extract_quarter + , subq_5.ds_partitioned__extract_month + , subq_5.ds_partitioned__extract_day + , subq_5.ds_partitioned__extract_dow + , subq_5.ds_partitioned__extract_doy + , subq_5.paid_at__day + , subq_5.paid_at__week + , subq_5.paid_at__month + , subq_5.paid_at__quarter + , subq_5.paid_at__year + , subq_5.paid_at__extract_year + , subq_5.paid_at__extract_quarter + , subq_5.paid_at__extract_month + , subq_5.paid_at__extract_day + , subq_5.paid_at__extract_dow + , subq_5.paid_at__extract_doy + , subq_5.booking__ds__day + , subq_5.booking__ds__week + , subq_5.booking__ds__month + , subq_5.booking__ds__quarter + , subq_5.booking__ds__year + , subq_5.booking__ds__extract_year + , subq_5.booking__ds__extract_quarter + , subq_5.booking__ds__extract_month + , subq_5.booking__ds__extract_day + , subq_5.booking__ds__extract_dow + , subq_5.booking__ds__extract_doy + , subq_5.booking__ds_partitioned__day + , subq_5.booking__ds_partitioned__week + , subq_5.booking__ds_partitioned__month + , subq_5.booking__ds_partitioned__quarter + , subq_5.booking__ds_partitioned__year + , subq_5.booking__ds_partitioned__extract_year + , subq_5.booking__ds_partitioned__extract_quarter + , subq_5.booking__ds_partitioned__extract_month + , subq_5.booking__ds_partitioned__extract_day + , subq_5.booking__ds_partitioned__extract_dow + , subq_5.booking__ds_partitioned__extract_doy + , subq_5.booking__paid_at__day + , subq_5.booking__paid_at__week + , subq_5.booking__paid_at__month + , subq_5.booking__paid_at__quarter + , subq_5.booking__paid_at__year + , subq_5.booking__paid_at__extract_year + , subq_5.booking__paid_at__extract_quarter + , subq_5.booking__paid_at__extract_month + , subq_5.booking__paid_at__extract_day + , subq_5.booking__paid_at__extract_dow + , subq_5.booking__paid_at__extract_doy + , subq_5.paid_at__day AS metric_time__day + , subq_5.paid_at__week AS metric_time__week + , subq_5.paid_at__month AS metric_time__month + , subq_5.paid_at__quarter AS metric_time__quarter + , subq_5.paid_at__year AS metric_time__year + , subq_5.paid_at__extract_year AS metric_time__extract_year + , subq_5.paid_at__extract_quarter AS metric_time__extract_quarter + , subq_5.paid_at__extract_month AS metric_time__extract_month + , subq_5.paid_at__extract_day AS metric_time__extract_day + , subq_5.paid_at__extract_dow AS metric_time__extract_dow + , subq_5.paid_at__extract_doy AS metric_time__extract_doy + , subq_5.listing + , subq_5.guest + , subq_5.host + , subq_5.booking__listing + , subq_5.booking__guest + , subq_5.booking__host + , subq_5.is_instant + , subq_5.booking__is_instant + , subq_5.booking_payments + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_5 + ) subq_6 + ) subq_7 + GROUP BY + subq_7.metric_time__day + ) subq_8 +) subq_9 +ON + subq_4.metric_time__day = subq_9.metric_time__day +GROUP BY + COALESCE(subq_4.metric_time__day, subq_9.metric_time__day) diff --git a/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_simple_query_with_metric_time_dimension__plan0_optimized.sql b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_simple_query_with_metric_time_dimension__plan0_optimized.sql new file mode 100644 index 0000000000..2f965192ba --- /dev/null +++ b/metricflow/test/snapshots/test_metric_time_dimension_to_sql.py/SqlQueryPlan/Trino/test_simple_query_with_metric_time_dimension__plan0_optimized.sql @@ -0,0 +1,42 @@ +-- Combine Aggregated Outputs +SELECT + COALESCE(subq_14.metric_time__day, subq_19.metric_time__day) AS metric_time__day + , MAX(subq_14.bookings) AS bookings + , MAX(subq_19.booking_payments) AS booking_payments +FROM ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_12 + GROUP BY + metric_time__day +) subq_14 +FULL OUTER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'paid_at' + -- Pass Only Elements: + -- ['booking_payments', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + DATE_TRUNC('day', paid_at) AS metric_time__day + , SUM(booking_value) AS booking_payments + FROM ***************************.fct_bookings bookings_source_src_10001 + GROUP BY + DATE_TRUNC('day', paid_at) +) subq_19 +ON + subq_14.metric_time__day = subq_19.metric_time__day +GROUP BY + COALESCE(subq_14.metric_time__day, subq_19.metric_time__day) diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_common_semantic_model__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_common_semantic_model__plan0.sql new file mode 100644 index 0000000000..97f0946ad6 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_common_semantic_model__plan0.sql @@ -0,0 +1,441 @@ +-- Combine Aggregated Outputs +SELECT + COALESCE(subq_4.metric_time__day, subq_9.metric_time__day) AS metric_time__day + , MAX(subq_4.bookings) AS bookings + , MAX(subq_9.booking_value) AS booking_value +FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.metric_time__day + , subq_3.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + ) subq_3 +) subq_4 +FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_8.metric_time__day + , subq_8.booking_value + FROM ( + -- Aggregate Measures + SELECT + subq_7.metric_time__day + , SUM(subq_7.booking_value) AS booking_value + FROM ( + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + SELECT + subq_6.metric_time__day + , subq_6.booking_value + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_5.ds__day + , subq_5.ds__week + , subq_5.ds__month + , subq_5.ds__quarter + , subq_5.ds__year + , subq_5.ds__extract_year + , subq_5.ds__extract_quarter + , subq_5.ds__extract_month + , subq_5.ds__extract_day + , subq_5.ds__extract_dow + , subq_5.ds__extract_doy + , subq_5.ds_partitioned__day + , subq_5.ds_partitioned__week + , subq_5.ds_partitioned__month + , subq_5.ds_partitioned__quarter + , subq_5.ds_partitioned__year + , subq_5.ds_partitioned__extract_year + , subq_5.ds_partitioned__extract_quarter + , subq_5.ds_partitioned__extract_month + , subq_5.ds_partitioned__extract_day + , subq_5.ds_partitioned__extract_dow + , subq_5.ds_partitioned__extract_doy + , subq_5.paid_at__day + , subq_5.paid_at__week + , subq_5.paid_at__month + , subq_5.paid_at__quarter + , subq_5.paid_at__year + , subq_5.paid_at__extract_year + , subq_5.paid_at__extract_quarter + , subq_5.paid_at__extract_month + , subq_5.paid_at__extract_day + , subq_5.paid_at__extract_dow + , subq_5.paid_at__extract_doy + , subq_5.booking__ds__day + , subq_5.booking__ds__week + , subq_5.booking__ds__month + , subq_5.booking__ds__quarter + , subq_5.booking__ds__year + , subq_5.booking__ds__extract_year + , subq_5.booking__ds__extract_quarter + , subq_5.booking__ds__extract_month + , subq_5.booking__ds__extract_day + , subq_5.booking__ds__extract_dow + , subq_5.booking__ds__extract_doy + , subq_5.booking__ds_partitioned__day + , subq_5.booking__ds_partitioned__week + , subq_5.booking__ds_partitioned__month + , subq_5.booking__ds_partitioned__quarter + , subq_5.booking__ds_partitioned__year + , subq_5.booking__ds_partitioned__extract_year + , subq_5.booking__ds_partitioned__extract_quarter + , subq_5.booking__ds_partitioned__extract_month + , subq_5.booking__ds_partitioned__extract_day + , subq_5.booking__ds_partitioned__extract_dow + , subq_5.booking__ds_partitioned__extract_doy + , subq_5.booking__paid_at__day + , subq_5.booking__paid_at__week + , subq_5.booking__paid_at__month + , subq_5.booking__paid_at__quarter + , subq_5.booking__paid_at__year + , subq_5.booking__paid_at__extract_year + , subq_5.booking__paid_at__extract_quarter + , subq_5.booking__paid_at__extract_month + , subq_5.booking__paid_at__extract_day + , subq_5.booking__paid_at__extract_dow + , subq_5.booking__paid_at__extract_doy + , subq_5.ds__day AS metric_time__day + , subq_5.ds__week AS metric_time__week + , subq_5.ds__month AS metric_time__month + , subq_5.ds__quarter AS metric_time__quarter + , subq_5.ds__year AS metric_time__year + , subq_5.ds__extract_year AS metric_time__extract_year + , subq_5.ds__extract_quarter AS metric_time__extract_quarter + , subq_5.ds__extract_month AS metric_time__extract_month + , subq_5.ds__extract_day AS metric_time__extract_day + , subq_5.ds__extract_dow AS metric_time__extract_dow + , subq_5.ds__extract_doy AS metric_time__extract_doy + , subq_5.listing + , subq_5.guest + , subq_5.host + , subq_5.booking__listing + , subq_5.booking__guest + , subq_5.booking__host + , subq_5.is_instant + , subq_5.booking__is_instant + , subq_5.bookings + , subq_5.instant_bookings + , subq_5.booking_value + , subq_5.max_booking_value + , subq_5.min_booking_value + , subq_5.bookers + , subq_5.average_booking_value + , subq_5.referred_bookings + , subq_5.median_booking_value + , subq_5.booking_value_p99 + , subq_5.discrete_booking_value_p99 + , subq_5.approximate_continuous_booking_value_p99 + , subq_5.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_5 + ) subq_6 + ) subq_7 + GROUP BY + subq_7.metric_time__day + ) subq_8 +) subq_9 +ON + subq_4.metric_time__day = subq_9.metric_time__day +GROUP BY + COALESCE(subq_4.metric_time__day, subq_9.metric_time__day) diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_common_semantic_model__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_common_semantic_model__plan0_optimized.sql new file mode 100644 index 0000000000..d2cebbcf57 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_common_semantic_model__plan0_optimized.sql @@ -0,0 +1,42 @@ +-- Combine Aggregated Outputs +SELECT + COALESCE(subq_14.metric_time__day, subq_19.metric_time__day) AS metric_time__day + , MAX(subq_14.bookings) AS bookings + , MAX(subq_19.booking_value) AS booking_value +FROM ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_12 + GROUP BY + metric_time__day +) subq_14 +FULL OUTER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , SUM(booking_value) AS booking_value + FROM ***************************.fct_bookings bookings_source_src_10001 + GROUP BY + DATE_TRUNC('day', ds) +) subq_19 +ON + subq_14.metric_time__day = subq_19.metric_time__day +GROUP BY + COALESCE(subq_14.metric_time__day, subq_19.metric_time__day) diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_distinct_values__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_distinct_values__plan0.sql new file mode 100644 index 0000000000..62c4d422d7 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_distinct_values__plan0.sql @@ -0,0 +1,135 @@ +-- Order By ['listing__country_latest'] Limit 100 +SELECT + subq_2.listing__country_latest +FROM ( + -- Pass Only Elements: + -- ['listing__country_latest'] + SELECT + subq_1.listing__country_latest + FROM ( + -- Constrain Output with WHERE + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.created_at__day + , subq_0.created_at__week + , subq_0.created_at__month + , subq_0.created_at__quarter + , subq_0.created_at__year + , subq_0.created_at__extract_year + , subq_0.created_at__extract_quarter + , subq_0.created_at__extract_month + , subq_0.created_at__extract_day + , subq_0.created_at__extract_dow + , subq_0.created_at__extract_doy + , subq_0.listing__ds__day + , subq_0.listing__ds__week + , subq_0.listing__ds__month + , subq_0.listing__ds__quarter + , subq_0.listing__ds__year + , subq_0.listing__ds__extract_year + , subq_0.listing__ds__extract_quarter + , subq_0.listing__ds__extract_month + , subq_0.listing__ds__extract_day + , subq_0.listing__ds__extract_dow + , subq_0.listing__ds__extract_doy + , subq_0.listing__created_at__day + , subq_0.listing__created_at__week + , subq_0.listing__created_at__month + , subq_0.listing__created_at__quarter + , subq_0.listing__created_at__year + , subq_0.listing__created_at__extract_year + , subq_0.listing__created_at__extract_quarter + , subq_0.listing__created_at__extract_month + , subq_0.listing__created_at__extract_day + , subq_0.listing__created_at__extract_dow + , subq_0.listing__created_at__extract_doy + , subq_0.listing + , subq_0.user + , subq_0.listing__user + , subq_0.country_latest + , subq_0.is_lux_latest + , subq_0.capacity_latest + , subq_0.listing__country_latest + , subq_0.listing__is_lux_latest + , subq_0.listing__capacity_latest + , subq_0.listings + , subq_0.largest_listing + , subq_0.smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_0 + WHERE listing__country_latest = 'us' + ) subq_1 + GROUP BY + subq_1.listing__country_latest +) subq_2 +ORDER BY subq_2.listing__country_latest DESC +LIMIT 100 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_distinct_values__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_distinct_values__plan0_optimized.sql new file mode 100644 index 0000000000..53c7bf823f --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_distinct_values__plan0_optimized.sql @@ -0,0 +1,17 @@ +-- Constrain Output with WHERE +-- Pass Only Elements: +-- ['listing__country_latest'] +-- Order By ['listing__country_latest'] Limit 100 +SELECT + listing__country_latest +FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + country AS listing__country_latest + FROM ***************************.dim_listings_latest listings_latest_src_10005 +) subq_3 +WHERE listing__country_latest = 'us' +GROUP BY + listing__country_latest +ORDER BY listing__country_latest DESC +LIMIT 100 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_on_join_dim__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_on_join_dim__plan0.sql new file mode 100644 index 0000000000..4a00c4a466 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_on_join_dim__plan0.sql @@ -0,0 +1,387 @@ +-- Compute Metrics via Expressions +SELECT + subq_10.booking__is_instant + , subq_10.bookings +FROM ( + -- Aggregate Measures + SELECT + subq_9.booking__is_instant + , SUM(subq_9.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'booking__is_instant'] + SELECT + subq_8.booking__is_instant + , subq_8.bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_7.booking__is_instant + , subq_7.listing__country_latest + , subq_7.bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'booking__is_instant', 'listing__country_latest'] + SELECT + subq_6.booking__is_instant + , subq_6.listing__country_latest + , subq_6.bookings + FROM ( + -- Join Standard Outputs + SELECT + subq_2.listing AS listing + , subq_2.booking__is_instant AS booking__is_instant + , subq_5.country_latest AS listing__country_latest + , subq_2.bookings AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'booking__is_instant', 'listing'] + SELECT + subq_1.listing + , subq_1.booking__is_instant + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['country_latest', 'listing'] + SELECT + subq_4.listing + , subq_4.country_latest + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_3.ds__day + , subq_3.ds__week + , subq_3.ds__month + , subq_3.ds__quarter + , subq_3.ds__year + , subq_3.ds__extract_year + , subq_3.ds__extract_quarter + , subq_3.ds__extract_month + , subq_3.ds__extract_day + , subq_3.ds__extract_dow + , subq_3.ds__extract_doy + , subq_3.created_at__day + , subq_3.created_at__week + , subq_3.created_at__month + , subq_3.created_at__quarter + , subq_3.created_at__year + , subq_3.created_at__extract_year + , subq_3.created_at__extract_quarter + , subq_3.created_at__extract_month + , subq_3.created_at__extract_day + , subq_3.created_at__extract_dow + , subq_3.created_at__extract_doy + , subq_3.listing__ds__day + , subq_3.listing__ds__week + , subq_3.listing__ds__month + , subq_3.listing__ds__quarter + , subq_3.listing__ds__year + , subq_3.listing__ds__extract_year + , subq_3.listing__ds__extract_quarter + , subq_3.listing__ds__extract_month + , subq_3.listing__ds__extract_day + , subq_3.listing__ds__extract_dow + , subq_3.listing__ds__extract_doy + , subq_3.listing__created_at__day + , subq_3.listing__created_at__week + , subq_3.listing__created_at__month + , subq_3.listing__created_at__quarter + , subq_3.listing__created_at__year + , subq_3.listing__created_at__extract_year + , subq_3.listing__created_at__extract_quarter + , subq_3.listing__created_at__extract_month + , subq_3.listing__created_at__extract_day + , subq_3.listing__created_at__extract_dow + , subq_3.listing__created_at__extract_doy + , subq_3.ds__day AS metric_time__day + , subq_3.ds__week AS metric_time__week + , subq_3.ds__month AS metric_time__month + , subq_3.ds__quarter AS metric_time__quarter + , subq_3.ds__year AS metric_time__year + , subq_3.ds__extract_year AS metric_time__extract_year + , subq_3.ds__extract_quarter AS metric_time__extract_quarter + , subq_3.ds__extract_month AS metric_time__extract_month + , subq_3.ds__extract_day AS metric_time__extract_day + , subq_3.ds__extract_dow AS metric_time__extract_dow + , subq_3.ds__extract_doy AS metric_time__extract_doy + , subq_3.listing + , subq_3.user + , subq_3.listing__user + , subq_3.country_latest + , subq_3.is_lux_latest + , subq_3.capacity_latest + , subq_3.listing__country_latest + , subq_3.listing__is_lux_latest + , subq_3.listing__capacity_latest + , subq_3.listings + , subq_3.largest_listing + , subq_3.smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_3 + ) subq_4 + ) subq_5 + ON + subq_2.listing = subq_5.listing + ) subq_6 + ) subq_7 + WHERE listing__country_latest = 'us' + ) subq_8 + ) subq_9 + GROUP BY + subq_9.booking__is_instant +) subq_10 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_on_join_dim__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_on_join_dim__plan0_optimized.sql new file mode 100644 index 0000000000..d00b32fb24 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_filter_with_where_constraint_on_join_dim__plan0_optimized.sql @@ -0,0 +1,35 @@ +-- Constrain Output with WHERE +-- Pass Only Elements: +-- ['bookings', 'booking__is_instant'] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + booking__is_instant + , SUM(bookings) AS bookings +FROM ( + -- Join Standard Outputs + -- Pass Only Elements: + -- ['bookings', 'booking__is_instant', 'listing__country_latest'] + SELECT + subq_13.booking__is_instant AS booking__is_instant + , listings_latest_src_10005.country AS listing__country_latest + , subq_13.bookings AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'booking__is_instant', 'listing'] + SELECT + listing_id AS listing + , is_instant AS booking__is_instant + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_13 + LEFT OUTER JOIN + ***************************.dim_listings_latest listings_latest_src_10005 + ON + subq_13.listing = listings_latest_src_10005.listing_id +) subq_18 +WHERE listing__country_latest = 'us' +GROUP BY + booking__is_instant diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_join_to_scd_dimension__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_join_to_scd_dimension__plan0.sql new file mode 100644 index 0000000000..7a5e1b4b86 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_join_to_scd_dimension__plan0.sql @@ -0,0 +1,317 @@ +-- Compute Metrics via Expressions +SELECT + subq_9.metric_time__day + , subq_9.bookings AS family_bookings +FROM ( + -- Aggregate Measures + SELECT + subq_8.metric_time__day + , SUM(subq_8.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_7.metric_time__day + , subq_7.bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_6.metric_time__day + , subq_6.listing__capacity + , subq_6.bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'listing__capacity', 'metric_time__day'] + SELECT + subq_5.metric_time__day + , subq_5.listing__capacity + , subq_5.bookings + FROM ( + -- Join Standard Outputs + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_4.window_start__day AS listing__window_start__day + , subq_4.window_end__day AS listing__window_end__day + , subq_2.listing AS listing + , subq_4.capacity AS listing__capacity + , subq_2.bookings AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day', 'listing'] + SELECT + subq_1.metric_time__day + , subq_1.listing + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.user + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.booking__user + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.bookers + , subq_0.average_booking_value + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10017.booking_value + , bookings_source_src_10017.guest_id AS bookers + , bookings_source_src_10017.booking_value AS average_booking_value + , bookings_source_src_10017.booking_value AS booking_payments + , bookings_source_src_10017.is_instant + , DATE_TRUNC('day', bookings_source_src_10017.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10017.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10017.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10017.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10017.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10017.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10017.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10017.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10017.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10017.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.paid_at) AS paid_at__extract_doy + , bookings_source_src_10017.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10017.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10017.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10017.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10017.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10017.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10017.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10017.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10017.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10017.listing_id AS listing + , bookings_source_src_10017.guest_id AS guest + , bookings_source_src_10017.host_id AS host + , bookings_source_src_10017.guest_id AS user + , bookings_source_src_10017.listing_id AS booking__listing + , bookings_source_src_10017.guest_id AS booking__guest + , bookings_source_src_10017.host_id AS booking__host + , bookings_source_src_10017.guest_id AS booking__user + FROM ***************************.fct_bookings bookings_source_src_10017 + ) subq_0 + ) subq_1 + ) subq_2 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['capacity', 'window_start__day', 'window_end__day', 'listing'] + SELECT + subq_3.window_start__day + , subq_3.window_end__day + , subq_3.listing + , subq_3.capacity + FROM ( + -- Read Elements From Semantic Model 'listings' + SELECT + listings_src_10019.active_from AS window_start__day + , DATE_TRUNC('week', listings_src_10019.active_from) AS window_start__week + , DATE_TRUNC('month', listings_src_10019.active_from) AS window_start__month + , DATE_TRUNC('quarter', listings_src_10019.active_from) AS window_start__quarter + , DATE_TRUNC('year', listings_src_10019.active_from) AS window_start__year + , EXTRACT(year FROM listings_src_10019.active_from) AS window_start__extract_year + , EXTRACT(quarter FROM listings_src_10019.active_from) AS window_start__extract_quarter + , EXTRACT(month FROM listings_src_10019.active_from) AS window_start__extract_month + , EXTRACT(day FROM listings_src_10019.active_from) AS window_start__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_src_10019.active_from) AS window_start__extract_dow + , EXTRACT(doy FROM listings_src_10019.active_from) AS window_start__extract_doy + , listings_src_10019.active_to AS window_end__day + , DATE_TRUNC('week', listings_src_10019.active_to) AS window_end__week + , DATE_TRUNC('month', listings_src_10019.active_to) AS window_end__month + , DATE_TRUNC('quarter', listings_src_10019.active_to) AS window_end__quarter + , DATE_TRUNC('year', listings_src_10019.active_to) AS window_end__year + , EXTRACT(year FROM listings_src_10019.active_to) AS window_end__extract_year + , EXTRACT(quarter FROM listings_src_10019.active_to) AS window_end__extract_quarter + , EXTRACT(month FROM listings_src_10019.active_to) AS window_end__extract_month + , EXTRACT(day FROM listings_src_10019.active_to) AS window_end__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_src_10019.active_to) AS window_end__extract_dow + , EXTRACT(doy FROM listings_src_10019.active_to) AS window_end__extract_doy + , listings_src_10019.country + , listings_src_10019.is_lux + , listings_src_10019.capacity + , listings_src_10019.active_from AS listing__window_start__day + , DATE_TRUNC('week', listings_src_10019.active_from) AS listing__window_start__week + , DATE_TRUNC('month', listings_src_10019.active_from) AS listing__window_start__month + , DATE_TRUNC('quarter', listings_src_10019.active_from) AS listing__window_start__quarter + , DATE_TRUNC('year', listings_src_10019.active_from) AS listing__window_start__year + , EXTRACT(year FROM listings_src_10019.active_from) AS listing__window_start__extract_year + , EXTRACT(quarter FROM listings_src_10019.active_from) AS listing__window_start__extract_quarter + , EXTRACT(month FROM listings_src_10019.active_from) AS listing__window_start__extract_month + , EXTRACT(day FROM listings_src_10019.active_from) AS listing__window_start__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_src_10019.active_from) AS listing__window_start__extract_dow + , EXTRACT(doy FROM listings_src_10019.active_from) AS listing__window_start__extract_doy + , listings_src_10019.active_to AS listing__window_end__day + , DATE_TRUNC('week', listings_src_10019.active_to) AS listing__window_end__week + , DATE_TRUNC('month', listings_src_10019.active_to) AS listing__window_end__month + , DATE_TRUNC('quarter', listings_src_10019.active_to) AS listing__window_end__quarter + , DATE_TRUNC('year', listings_src_10019.active_to) AS listing__window_end__year + , EXTRACT(year FROM listings_src_10019.active_to) AS listing__window_end__extract_year + , EXTRACT(quarter FROM listings_src_10019.active_to) AS listing__window_end__extract_quarter + , EXTRACT(month FROM listings_src_10019.active_to) AS listing__window_end__extract_month + , EXTRACT(day FROM listings_src_10019.active_to) AS listing__window_end__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_src_10019.active_to) AS listing__window_end__extract_dow + , EXTRACT(doy FROM listings_src_10019.active_to) AS listing__window_end__extract_doy + , listings_src_10019.country AS listing__country + , listings_src_10019.is_lux AS listing__is_lux + , listings_src_10019.capacity AS listing__capacity + , listings_src_10019.listing_id AS listing + , listings_src_10019.user_id AS user + , listings_src_10019.user_id AS listing__user + FROM ***************************.dim_listings listings_src_10019 + ) subq_3 + ) subq_4 + ON + ( + subq_2.listing = subq_4.listing + ) AND ( + ( + subq_2.metric_time__day >= subq_4.window_start__day + ) AND ( + ( + subq_2.metric_time__day < subq_4.window_end__day + ) OR ( + subq_4.window_end__day IS NULL + ) + ) + ) + ) subq_5 + ) subq_6 + WHERE listing__capacity > 2 + ) subq_7 + ) subq_8 + GROUP BY + subq_8.metric_time__day +) subq_9 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_join_to_scd_dimension__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_join_to_scd_dimension__plan0_optimized.sql new file mode 100644 index 0000000000..662445e5ef --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_join_to_scd_dimension__plan0_optimized.sql @@ -0,0 +1,47 @@ +-- Constrain Output with WHERE +-- Pass Only Elements: +-- ['bookings', 'metric_time__day'] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + metric_time__day + , SUM(bookings) AS family_bookings +FROM ( + -- Join Standard Outputs + -- Pass Only Elements: + -- ['bookings', 'listing__capacity', 'metric_time__day'] + SELECT + subq_12.metric_time__day AS metric_time__day + , listings_src_10019.capacity AS listing__capacity + , subq_12.bookings AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day', 'listing'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , listing_id AS listing + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10017 + ) subq_12 + LEFT OUTER JOIN + ***************************.dim_listings listings_src_10019 + ON + ( + subq_12.listing = listings_src_10019.listing_id + ) AND ( + ( + subq_12.metric_time__day >= listings_src_10019.active_from + ) AND ( + ( + subq_12.metric_time__day < listings_src_10019.active_to + ) OR ( + listings_src_10019.active_to IS NULL + ) + ) + ) +) subq_16 +WHERE listing__capacity > 2 +GROUP BY + metric_time__day diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_limit_rows__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_limit_rows__plan0.sql new file mode 100644 index 0000000000..c1430d3764 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_limit_rows__plan0.sql @@ -0,0 +1,221 @@ +-- Order By [] Limit 1 +SELECT + subq_4.ds__day + , subq_4.bookings +FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.ds__day + , subq_3.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_2.ds__day + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'ds__day'] + SELECT + subq_1.ds__day + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.ds__day + ) subq_3 +) subq_4 +LIMIT 1 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_limit_rows__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_limit_rows__plan0_optimized.sql new file mode 100644 index 0000000000..e52871ff7c --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_limit_rows__plan0_optimized.sql @@ -0,0 +1,19 @@ +-- Aggregate Measures +-- Compute Metrics via Expressions +-- Order By [] Limit 1 +SELECT + ds__day + , SUM(bookings) AS bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'ds__day'] + SELECT + DATE_TRUNC('day', ds) AS ds__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_7 +GROUP BY + ds__day +LIMIT 1 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_local_dimension_using_local_entity__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_local_dimension_using_local_entity__plan0.sql new file mode 100644 index 0000000000..7115d3825a --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_local_dimension_using_local_entity__plan0.sql @@ -0,0 +1,151 @@ +-- Compute Metrics via Expressions +SELECT + subq_3.listing__country_latest + , subq_3.listings +FROM ( + -- Aggregate Measures + SELECT + subq_2.listing__country_latest + , SUM(subq_2.listings) AS listings + FROM ( + -- Pass Only Elements: + -- ['listings', 'listing__country_latest'] + SELECT + subq_1.listing__country_latest + , subq_1.listings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.created_at__day + , subq_0.created_at__week + , subq_0.created_at__month + , subq_0.created_at__quarter + , subq_0.created_at__year + , subq_0.created_at__extract_year + , subq_0.created_at__extract_quarter + , subq_0.created_at__extract_month + , subq_0.created_at__extract_day + , subq_0.created_at__extract_dow + , subq_0.created_at__extract_doy + , subq_0.listing__ds__day + , subq_0.listing__ds__week + , subq_0.listing__ds__month + , subq_0.listing__ds__quarter + , subq_0.listing__ds__year + , subq_0.listing__ds__extract_year + , subq_0.listing__ds__extract_quarter + , subq_0.listing__ds__extract_month + , subq_0.listing__ds__extract_day + , subq_0.listing__ds__extract_dow + , subq_0.listing__ds__extract_doy + , subq_0.listing__created_at__day + , subq_0.listing__created_at__week + , subq_0.listing__created_at__month + , subq_0.listing__created_at__quarter + , subq_0.listing__created_at__year + , subq_0.listing__created_at__extract_year + , subq_0.listing__created_at__extract_quarter + , subq_0.listing__created_at__extract_month + , subq_0.listing__created_at__extract_day + , subq_0.listing__created_at__extract_dow + , subq_0.listing__created_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.user + , subq_0.listing__user + , subq_0.country_latest + , subq_0.is_lux_latest + , subq_0.capacity_latest + , subq_0.listing__country_latest + , subq_0.listing__is_lux_latest + , subq_0.listing__capacity_latest + , subq_0.listings + , subq_0.largest_listing + , subq_0.smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.listing__country_latest +) subq_3 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_local_dimension_using_local_entity__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_local_dimension_using_local_entity__plan0_optimized.sql new file mode 100644 index 0000000000..2c5690447e --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_local_dimension_using_local_entity__plan0_optimized.sql @@ -0,0 +1,17 @@ +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + listing__country_latest + , SUM(listings) AS listings +FROM ( + -- Read Elements From Semantic Model 'listings_latest' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['listings', 'listing__country_latest'] + SELECT + country AS listing__country_latest + , 1 AS listings + FROM ***************************.dim_listings_latest listings_latest_src_10005 +) subq_6 +GROUP BY + listing__country_latest diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint__plan0.sql new file mode 100644 index 0000000000..169e346efc --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint__plan0.sql @@ -0,0 +1,1012 @@ +-- Compute Metrics via Expressions +SELECT + subq_29.metric_time__day + , average_booking_value * bookings / NULLIF(booking_value, 0) AS lux_booking_value_rate_expr +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_11.metric_time__day, subq_23.metric_time__day, subq_28.metric_time__day) AS metric_time__day + , MAX(subq_11.average_booking_value) AS average_booking_value + , MAX(subq_23.bookings) AS bookings + , MAX(subq_28.booking_value) AS booking_value + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_10.metric_time__day + , subq_10.average_booking_value + FROM ( + -- Aggregate Measures + SELECT + subq_9.metric_time__day + , AVG(subq_9.average_booking_value) AS average_booking_value + FROM ( + -- Pass Only Elements: + -- ['average_booking_value', 'metric_time__day'] + SELECT + subq_8.metric_time__day + , subq_8.average_booking_value + FROM ( + -- Constrain Output with WHERE + SELECT + subq_7.metric_time__day + , subq_7.listing__is_lux_latest + , subq_7.average_booking_value + FROM ( + -- Pass Only Elements: + -- ['average_booking_value', 'listing__is_lux_latest', 'metric_time__day'] + SELECT + subq_6.metric_time__day + , subq_6.listing__is_lux_latest + , subq_6.average_booking_value + FROM ( + -- Join Standard Outputs + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_2.listing AS listing + , subq_5.is_lux_latest AS listing__is_lux_latest + , subq_2.average_booking_value AS average_booking_value + FROM ( + -- Pass Only Elements: + -- ['average_booking_value', 'metric_time__day', 'listing'] + SELECT + subq_1.metric_time__day + , subq_1.listing + , subq_1.average_booking_value + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['is_lux_latest', 'listing'] + SELECT + subq_4.listing + , subq_4.is_lux_latest + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_3.ds__day + , subq_3.ds__week + , subq_3.ds__month + , subq_3.ds__quarter + , subq_3.ds__year + , subq_3.ds__extract_year + , subq_3.ds__extract_quarter + , subq_3.ds__extract_month + , subq_3.ds__extract_day + , subq_3.ds__extract_dow + , subq_3.ds__extract_doy + , subq_3.created_at__day + , subq_3.created_at__week + , subq_3.created_at__month + , subq_3.created_at__quarter + , subq_3.created_at__year + , subq_3.created_at__extract_year + , subq_3.created_at__extract_quarter + , subq_3.created_at__extract_month + , subq_3.created_at__extract_day + , subq_3.created_at__extract_dow + , subq_3.created_at__extract_doy + , subq_3.listing__ds__day + , subq_3.listing__ds__week + , subq_3.listing__ds__month + , subq_3.listing__ds__quarter + , subq_3.listing__ds__year + , subq_3.listing__ds__extract_year + , subq_3.listing__ds__extract_quarter + , subq_3.listing__ds__extract_month + , subq_3.listing__ds__extract_day + , subq_3.listing__ds__extract_dow + , subq_3.listing__ds__extract_doy + , subq_3.listing__created_at__day + , subq_3.listing__created_at__week + , subq_3.listing__created_at__month + , subq_3.listing__created_at__quarter + , subq_3.listing__created_at__year + , subq_3.listing__created_at__extract_year + , subq_3.listing__created_at__extract_quarter + , subq_3.listing__created_at__extract_month + , subq_3.listing__created_at__extract_day + , subq_3.listing__created_at__extract_dow + , subq_3.listing__created_at__extract_doy + , subq_3.ds__day AS metric_time__day + , subq_3.ds__week AS metric_time__week + , subq_3.ds__month AS metric_time__month + , subq_3.ds__quarter AS metric_time__quarter + , subq_3.ds__year AS metric_time__year + , subq_3.ds__extract_year AS metric_time__extract_year + , subq_3.ds__extract_quarter AS metric_time__extract_quarter + , subq_3.ds__extract_month AS metric_time__extract_month + , subq_3.ds__extract_day AS metric_time__extract_day + , subq_3.ds__extract_dow AS metric_time__extract_dow + , subq_3.ds__extract_doy AS metric_time__extract_doy + , subq_3.listing + , subq_3.user + , subq_3.listing__user + , subq_3.country_latest + , subq_3.is_lux_latest + , subq_3.capacity_latest + , subq_3.listing__country_latest + , subq_3.listing__is_lux_latest + , subq_3.listing__capacity_latest + , subq_3.listings + , subq_3.largest_listing + , subq_3.smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_3 + ) subq_4 + ) subq_5 + ON + subq_2.listing = subq_5.listing + ) subq_6 + ) subq_7 + WHERE listing__is_lux_latest + ) subq_8 + ) subq_9 + GROUP BY + subq_9.metric_time__day + ) subq_10 + ) subq_11 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_22.metric_time__day + , subq_22.bookings + FROM ( + -- Aggregate Measures + SELECT + subq_21.metric_time__day + , SUM(subq_21.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_20.metric_time__day + , subq_20.bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_19.metric_time__day + , subq_19.listing__is_lux_latest + , subq_19.bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'listing__is_lux_latest', 'metric_time__day'] + SELECT + subq_18.metric_time__day + , subq_18.listing__is_lux_latest + , subq_18.bookings + FROM ( + -- Join Standard Outputs + SELECT + subq_14.metric_time__day AS metric_time__day + , subq_14.listing AS listing + , subq_17.is_lux_latest AS listing__is_lux_latest + , subq_14.bookings AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day', 'listing'] + SELECT + subq_13.metric_time__day + , subq_13.listing + , subq_13.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_12.ds__day + , subq_12.ds__week + , subq_12.ds__month + , subq_12.ds__quarter + , subq_12.ds__year + , subq_12.ds__extract_year + , subq_12.ds__extract_quarter + , subq_12.ds__extract_month + , subq_12.ds__extract_day + , subq_12.ds__extract_dow + , subq_12.ds__extract_doy + , subq_12.ds_partitioned__day + , subq_12.ds_partitioned__week + , subq_12.ds_partitioned__month + , subq_12.ds_partitioned__quarter + , subq_12.ds_partitioned__year + , subq_12.ds_partitioned__extract_year + , subq_12.ds_partitioned__extract_quarter + , subq_12.ds_partitioned__extract_month + , subq_12.ds_partitioned__extract_day + , subq_12.ds_partitioned__extract_dow + , subq_12.ds_partitioned__extract_doy + , subq_12.paid_at__day + , subq_12.paid_at__week + , subq_12.paid_at__month + , subq_12.paid_at__quarter + , subq_12.paid_at__year + , subq_12.paid_at__extract_year + , subq_12.paid_at__extract_quarter + , subq_12.paid_at__extract_month + , subq_12.paid_at__extract_day + , subq_12.paid_at__extract_dow + , subq_12.paid_at__extract_doy + , subq_12.booking__ds__day + , subq_12.booking__ds__week + , subq_12.booking__ds__month + , subq_12.booking__ds__quarter + , subq_12.booking__ds__year + , subq_12.booking__ds__extract_year + , subq_12.booking__ds__extract_quarter + , subq_12.booking__ds__extract_month + , subq_12.booking__ds__extract_day + , subq_12.booking__ds__extract_dow + , subq_12.booking__ds__extract_doy + , subq_12.booking__ds_partitioned__day + , subq_12.booking__ds_partitioned__week + , subq_12.booking__ds_partitioned__month + , subq_12.booking__ds_partitioned__quarter + , subq_12.booking__ds_partitioned__year + , subq_12.booking__ds_partitioned__extract_year + , subq_12.booking__ds_partitioned__extract_quarter + , subq_12.booking__ds_partitioned__extract_month + , subq_12.booking__ds_partitioned__extract_day + , subq_12.booking__ds_partitioned__extract_dow + , subq_12.booking__ds_partitioned__extract_doy + , subq_12.booking__paid_at__day + , subq_12.booking__paid_at__week + , subq_12.booking__paid_at__month + , subq_12.booking__paid_at__quarter + , subq_12.booking__paid_at__year + , subq_12.booking__paid_at__extract_year + , subq_12.booking__paid_at__extract_quarter + , subq_12.booking__paid_at__extract_month + , subq_12.booking__paid_at__extract_day + , subq_12.booking__paid_at__extract_dow + , subq_12.booking__paid_at__extract_doy + , subq_12.ds__day AS metric_time__day + , subq_12.ds__week AS metric_time__week + , subq_12.ds__month AS metric_time__month + , subq_12.ds__quarter AS metric_time__quarter + , subq_12.ds__year AS metric_time__year + , subq_12.ds__extract_year AS metric_time__extract_year + , subq_12.ds__extract_quarter AS metric_time__extract_quarter + , subq_12.ds__extract_month AS metric_time__extract_month + , subq_12.ds__extract_day AS metric_time__extract_day + , subq_12.ds__extract_dow AS metric_time__extract_dow + , subq_12.ds__extract_doy AS metric_time__extract_doy + , subq_12.listing + , subq_12.guest + , subq_12.host + , subq_12.booking__listing + , subq_12.booking__guest + , subq_12.booking__host + , subq_12.is_instant + , subq_12.booking__is_instant + , subq_12.bookings + , subq_12.instant_bookings + , subq_12.booking_value + , subq_12.max_booking_value + , subq_12.min_booking_value + , subq_12.bookers + , subq_12.average_booking_value + , subq_12.referred_bookings + , subq_12.median_booking_value + , subq_12.booking_value_p99 + , subq_12.discrete_booking_value_p99 + , subq_12.approximate_continuous_booking_value_p99 + , subq_12.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_12 + ) subq_13 + ) subq_14 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['is_lux_latest', 'listing'] + SELECT + subq_16.listing + , subq_16.is_lux_latest + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_15.ds__day + , subq_15.ds__week + , subq_15.ds__month + , subq_15.ds__quarter + , subq_15.ds__year + , subq_15.ds__extract_year + , subq_15.ds__extract_quarter + , subq_15.ds__extract_month + , subq_15.ds__extract_day + , subq_15.ds__extract_dow + , subq_15.ds__extract_doy + , subq_15.created_at__day + , subq_15.created_at__week + , subq_15.created_at__month + , subq_15.created_at__quarter + , subq_15.created_at__year + , subq_15.created_at__extract_year + , subq_15.created_at__extract_quarter + , subq_15.created_at__extract_month + , subq_15.created_at__extract_day + , subq_15.created_at__extract_dow + , subq_15.created_at__extract_doy + , subq_15.listing__ds__day + , subq_15.listing__ds__week + , subq_15.listing__ds__month + , subq_15.listing__ds__quarter + , subq_15.listing__ds__year + , subq_15.listing__ds__extract_year + , subq_15.listing__ds__extract_quarter + , subq_15.listing__ds__extract_month + , subq_15.listing__ds__extract_day + , subq_15.listing__ds__extract_dow + , subq_15.listing__ds__extract_doy + , subq_15.listing__created_at__day + , subq_15.listing__created_at__week + , subq_15.listing__created_at__month + , subq_15.listing__created_at__quarter + , subq_15.listing__created_at__year + , subq_15.listing__created_at__extract_year + , subq_15.listing__created_at__extract_quarter + , subq_15.listing__created_at__extract_month + , subq_15.listing__created_at__extract_day + , subq_15.listing__created_at__extract_dow + , subq_15.listing__created_at__extract_doy + , subq_15.ds__day AS metric_time__day + , subq_15.ds__week AS metric_time__week + , subq_15.ds__month AS metric_time__month + , subq_15.ds__quarter AS metric_time__quarter + , subq_15.ds__year AS metric_time__year + , subq_15.ds__extract_year AS metric_time__extract_year + , subq_15.ds__extract_quarter AS metric_time__extract_quarter + , subq_15.ds__extract_month AS metric_time__extract_month + , subq_15.ds__extract_day AS metric_time__extract_day + , subq_15.ds__extract_dow AS metric_time__extract_dow + , subq_15.ds__extract_doy AS metric_time__extract_doy + , subq_15.listing + , subq_15.user + , subq_15.listing__user + , subq_15.country_latest + , subq_15.is_lux_latest + , subq_15.capacity_latest + , subq_15.listing__country_latest + , subq_15.listing__is_lux_latest + , subq_15.listing__capacity_latest + , subq_15.listings + , subq_15.largest_listing + , subq_15.smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_15 + ) subq_16 + ) subq_17 + ON + subq_14.listing = subq_17.listing + ) subq_18 + ) subq_19 + WHERE listing__is_lux_latest + ) subq_20 + ) subq_21 + GROUP BY + subq_21.metric_time__day + ) subq_22 + ) subq_23 + ON + subq_11.metric_time__day = subq_23.metric_time__day + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_27.metric_time__day + , subq_27.booking_value + FROM ( + -- Aggregate Measures + SELECT + subq_26.metric_time__day + , SUM(subq_26.booking_value) AS booking_value + FROM ( + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + SELECT + subq_25.metric_time__day + , subq_25.booking_value + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_24.ds__day + , subq_24.ds__week + , subq_24.ds__month + , subq_24.ds__quarter + , subq_24.ds__year + , subq_24.ds__extract_year + , subq_24.ds__extract_quarter + , subq_24.ds__extract_month + , subq_24.ds__extract_day + , subq_24.ds__extract_dow + , subq_24.ds__extract_doy + , subq_24.ds_partitioned__day + , subq_24.ds_partitioned__week + , subq_24.ds_partitioned__month + , subq_24.ds_partitioned__quarter + , subq_24.ds_partitioned__year + , subq_24.ds_partitioned__extract_year + , subq_24.ds_partitioned__extract_quarter + , subq_24.ds_partitioned__extract_month + , subq_24.ds_partitioned__extract_day + , subq_24.ds_partitioned__extract_dow + , subq_24.ds_partitioned__extract_doy + , subq_24.paid_at__day + , subq_24.paid_at__week + , subq_24.paid_at__month + , subq_24.paid_at__quarter + , subq_24.paid_at__year + , subq_24.paid_at__extract_year + , subq_24.paid_at__extract_quarter + , subq_24.paid_at__extract_month + , subq_24.paid_at__extract_day + , subq_24.paid_at__extract_dow + , subq_24.paid_at__extract_doy + , subq_24.booking__ds__day + , subq_24.booking__ds__week + , subq_24.booking__ds__month + , subq_24.booking__ds__quarter + , subq_24.booking__ds__year + , subq_24.booking__ds__extract_year + , subq_24.booking__ds__extract_quarter + , subq_24.booking__ds__extract_month + , subq_24.booking__ds__extract_day + , subq_24.booking__ds__extract_dow + , subq_24.booking__ds__extract_doy + , subq_24.booking__ds_partitioned__day + , subq_24.booking__ds_partitioned__week + , subq_24.booking__ds_partitioned__month + , subq_24.booking__ds_partitioned__quarter + , subq_24.booking__ds_partitioned__year + , subq_24.booking__ds_partitioned__extract_year + , subq_24.booking__ds_partitioned__extract_quarter + , subq_24.booking__ds_partitioned__extract_month + , subq_24.booking__ds_partitioned__extract_day + , subq_24.booking__ds_partitioned__extract_dow + , subq_24.booking__ds_partitioned__extract_doy + , subq_24.booking__paid_at__day + , subq_24.booking__paid_at__week + , subq_24.booking__paid_at__month + , subq_24.booking__paid_at__quarter + , subq_24.booking__paid_at__year + , subq_24.booking__paid_at__extract_year + , subq_24.booking__paid_at__extract_quarter + , subq_24.booking__paid_at__extract_month + , subq_24.booking__paid_at__extract_day + , subq_24.booking__paid_at__extract_dow + , subq_24.booking__paid_at__extract_doy + , subq_24.ds__day AS metric_time__day + , subq_24.ds__week AS metric_time__week + , subq_24.ds__month AS metric_time__month + , subq_24.ds__quarter AS metric_time__quarter + , subq_24.ds__year AS metric_time__year + , subq_24.ds__extract_year AS metric_time__extract_year + , subq_24.ds__extract_quarter AS metric_time__extract_quarter + , subq_24.ds__extract_month AS metric_time__extract_month + , subq_24.ds__extract_day AS metric_time__extract_day + , subq_24.ds__extract_dow AS metric_time__extract_dow + , subq_24.ds__extract_doy AS metric_time__extract_doy + , subq_24.listing + , subq_24.guest + , subq_24.host + , subq_24.booking__listing + , subq_24.booking__guest + , subq_24.booking__host + , subq_24.is_instant + , subq_24.booking__is_instant + , subq_24.bookings + , subq_24.instant_bookings + , subq_24.booking_value + , subq_24.max_booking_value + , subq_24.min_booking_value + , subq_24.bookers + , subq_24.average_booking_value + , subq_24.referred_bookings + , subq_24.median_booking_value + , subq_24.booking_value_p99 + , subq_24.discrete_booking_value_p99 + , subq_24.approximate_continuous_booking_value_p99 + , subq_24.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_24 + ) subq_25 + ) subq_26 + GROUP BY + subq_26.metric_time__day + ) subq_27 + ) subq_28 + ON + COALESCE(subq_11.metric_time__day, subq_23.metric_time__day) = subq_28.metric_time__day + GROUP BY + COALESCE(subq_11.metric_time__day, subq_23.metric_time__day, subq_28.metric_time__day) +) subq_29 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint__plan0_optimized.sql new file mode 100644 index 0000000000..5581a37a67 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint__plan0_optimized.sql @@ -0,0 +1,96 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , average_booking_value * bookings / NULLIF(booking_value, 0) AS lux_booking_value_rate_expr +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_41.metric_time__day, subq_53.metric_time__day, subq_58.metric_time__day) AS metric_time__day + , MAX(subq_41.average_booking_value) AS average_booking_value + , MAX(subq_53.bookings) AS bookings + , MAX(subq_58.booking_value) AS booking_value + FROM ( + -- Constrain Output with WHERE + -- Pass Only Elements: + -- ['average_booking_value', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , AVG(average_booking_value) AS average_booking_value + FROM ( + -- Join Standard Outputs + -- Pass Only Elements: + -- ['average_booking_value', 'listing__is_lux_latest', 'metric_time__day'] + SELECT + DATE_TRUNC('day', bookings_source_src_10001.ds) AS metric_time__day + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , bookings_source_src_10001.booking_value AS average_booking_value + FROM ***************************.fct_bookings bookings_source_src_10001 + LEFT OUTER JOIN + ***************************.dim_listings_latest listings_latest_src_10005 + ON + bookings_source_src_10001.listing_id = listings_latest_src_10005.listing_id + ) subq_37 + WHERE listing__is_lux_latest + GROUP BY + metric_time__day + ) subq_41 + FULL OUTER JOIN ( + -- Constrain Output with WHERE + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Join Standard Outputs + -- Pass Only Elements: + -- ['bookings', 'listing__is_lux_latest', 'metric_time__day'] + SELECT + subq_44.metric_time__day AS metric_time__day + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , subq_44.bookings AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day', 'listing'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , listing_id AS listing + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_44 + LEFT OUTER JOIN + ***************************.dim_listings_latest listings_latest_src_10005 + ON + subq_44.listing = listings_latest_src_10005.listing_id + ) subq_49 + WHERE listing__is_lux_latest + GROUP BY + metric_time__day + ) subq_53 + ON + subq_41.metric_time__day = subq_53.metric_time__day + FULL OUTER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , SUM(booking_value) AS booking_value + FROM ***************************.fct_bookings bookings_source_src_10001 + GROUP BY + DATE_TRUNC('day', ds) + ) subq_58 + ON + COALESCE(subq_41.metric_time__day, subq_53.metric_time__day) = subq_58.metric_time__day + GROUP BY + COALESCE(subq_41.metric_time__day, subq_53.metric_time__day, subq_58.metric_time__day) +) subq_59 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_reused_measure__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_reused_measure__plan0.sql new file mode 100644 index 0000000000..81907f7e40 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_reused_measure__plan0.sql @@ -0,0 +1,463 @@ +-- Compute Metrics via Expressions +SELECT + subq_12.metric_time__day + , CAST(subq_12.booking_value_with_is_instant_constraint AS DOUBLE) / CAST(NULLIF(subq_12.booking_value, 0) AS DOUBLE) AS instant_booking_value_ratio +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_6.metric_time__day, subq_11.metric_time__day) AS metric_time__day + , MAX(subq_6.booking_value_with_is_instant_constraint) AS booking_value_with_is_instant_constraint + , MAX(subq_11.booking_value) AS booking_value + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_5.metric_time__day + , subq_5.booking_value AS booking_value_with_is_instant_constraint + FROM ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.booking_value) AS booking_value + FROM ( + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.booking_value + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__day + , subq_2.booking__is_instant + , subq_2.booking_value + FROM ( + -- Pass Only Elements: + -- ['booking_value', 'booking__is_instant', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.booking__is_instant + , subq_1.booking_value + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE booking__is_instant + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 + ) subq_6 + FULL OUTER JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_10.metric_time__day + , subq_10.booking_value + FROM ( + -- Aggregate Measures + SELECT + subq_9.metric_time__day + , SUM(subq_9.booking_value) AS booking_value + FROM ( + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + SELECT + subq_8.metric_time__day + , subq_8.booking_value + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_7.ds__day + , subq_7.ds__week + , subq_7.ds__month + , subq_7.ds__quarter + , subq_7.ds__year + , subq_7.ds__extract_year + , subq_7.ds__extract_quarter + , subq_7.ds__extract_month + , subq_7.ds__extract_day + , subq_7.ds__extract_dow + , subq_7.ds__extract_doy + , subq_7.ds_partitioned__day + , subq_7.ds_partitioned__week + , subq_7.ds_partitioned__month + , subq_7.ds_partitioned__quarter + , subq_7.ds_partitioned__year + , subq_7.ds_partitioned__extract_year + , subq_7.ds_partitioned__extract_quarter + , subq_7.ds_partitioned__extract_month + , subq_7.ds_partitioned__extract_day + , subq_7.ds_partitioned__extract_dow + , subq_7.ds_partitioned__extract_doy + , subq_7.paid_at__day + , subq_7.paid_at__week + , subq_7.paid_at__month + , subq_7.paid_at__quarter + , subq_7.paid_at__year + , subq_7.paid_at__extract_year + , subq_7.paid_at__extract_quarter + , subq_7.paid_at__extract_month + , subq_7.paid_at__extract_day + , subq_7.paid_at__extract_dow + , subq_7.paid_at__extract_doy + , subq_7.booking__ds__day + , subq_7.booking__ds__week + , subq_7.booking__ds__month + , subq_7.booking__ds__quarter + , subq_7.booking__ds__year + , subq_7.booking__ds__extract_year + , subq_7.booking__ds__extract_quarter + , subq_7.booking__ds__extract_month + , subq_7.booking__ds__extract_day + , subq_7.booking__ds__extract_dow + , subq_7.booking__ds__extract_doy + , subq_7.booking__ds_partitioned__day + , subq_7.booking__ds_partitioned__week + , subq_7.booking__ds_partitioned__month + , subq_7.booking__ds_partitioned__quarter + , subq_7.booking__ds_partitioned__year + , subq_7.booking__ds_partitioned__extract_year + , subq_7.booking__ds_partitioned__extract_quarter + , subq_7.booking__ds_partitioned__extract_month + , subq_7.booking__ds_partitioned__extract_day + , subq_7.booking__ds_partitioned__extract_dow + , subq_7.booking__ds_partitioned__extract_doy + , subq_7.booking__paid_at__day + , subq_7.booking__paid_at__week + , subq_7.booking__paid_at__month + , subq_7.booking__paid_at__quarter + , subq_7.booking__paid_at__year + , subq_7.booking__paid_at__extract_year + , subq_7.booking__paid_at__extract_quarter + , subq_7.booking__paid_at__extract_month + , subq_7.booking__paid_at__extract_day + , subq_7.booking__paid_at__extract_dow + , subq_7.booking__paid_at__extract_doy + , subq_7.ds__day AS metric_time__day + , subq_7.ds__week AS metric_time__week + , subq_7.ds__month AS metric_time__month + , subq_7.ds__quarter AS metric_time__quarter + , subq_7.ds__year AS metric_time__year + , subq_7.ds__extract_year AS metric_time__extract_year + , subq_7.ds__extract_quarter AS metric_time__extract_quarter + , subq_7.ds__extract_month AS metric_time__extract_month + , subq_7.ds__extract_day AS metric_time__extract_day + , subq_7.ds__extract_dow AS metric_time__extract_dow + , subq_7.ds__extract_doy AS metric_time__extract_doy + , subq_7.listing + , subq_7.guest + , subq_7.host + , subq_7.booking__listing + , subq_7.booking__guest + , subq_7.booking__host + , subq_7.is_instant + , subq_7.booking__is_instant + , subq_7.bookings + , subq_7.instant_bookings + , subq_7.booking_value + , subq_7.max_booking_value + , subq_7.min_booking_value + , subq_7.bookers + , subq_7.average_booking_value + , subq_7.referred_bookings + , subq_7.median_booking_value + , subq_7.booking_value_p99 + , subq_7.discrete_booking_value_p99 + , subq_7.approximate_continuous_booking_value_p99 + , subq_7.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_7 + ) subq_8 + ) subq_9 + GROUP BY + subq_9.metric_time__day + ) subq_10 + ) subq_11 + ON + subq_6.metric_time__day = subq_11.metric_time__day + GROUP BY + COALESCE(subq_6.metric_time__day, subq_11.metric_time__day) +) subq_12 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_reused_measure__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_reused_measure__plan0_optimized.sql new file mode 100644 index 0000000000..2d2b5a142c --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_reused_measure__plan0_optimized.sql @@ -0,0 +1,53 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , CAST(booking_value_with_is_instant_constraint AS DOUBLE) / CAST(NULLIF(booking_value, 0) AS DOUBLE) AS instant_booking_value_ratio +FROM ( + -- Combine Aggregated Outputs + SELECT + COALESCE(subq_19.metric_time__day, subq_24.metric_time__day) AS metric_time__day + , MAX(subq_19.booking_value_with_is_instant_constraint) AS booking_value_with_is_instant_constraint + , MAX(subq_24.booking_value) AS booking_value + FROM ( + -- Constrain Output with WHERE + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(booking_value) AS booking_value_with_is_instant_constraint + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['booking_value', 'booking__is_instant', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , is_instant AS booking__is_instant + , booking_value + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_15 + WHERE booking__is_instant + GROUP BY + metric_time__day + ) subq_19 + FULL OUTER JOIN ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['booking_value', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , SUM(booking_value) AS booking_value + FROM ***************************.fct_bookings bookings_source_src_10001 + GROUP BY + DATE_TRUNC('day', ds) + ) subq_24 + ON + subq_19.metric_time__day = subq_24.metric_time__day + GROUP BY + COALESCE(subq_19.metric_time__day, subq_24.metric_time__day) +) subq_25 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_single_expr_and_alias__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_single_expr_and_alias__plan0.sql new file mode 100644 index 0000000000..f1e61da6cd --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_single_expr_and_alias__plan0.sql @@ -0,0 +1,236 @@ +-- Compute Metrics via Expressions +SELECT + subq_6.metric_time__day + , delayed_bookings * 2 AS double_counted_delayed_bookings +FROM ( + -- Compute Metrics via Expressions + SELECT + subq_5.metric_time__day + , subq_5.bookings AS delayed_bookings + FROM ( + -- Aggregate Measures + SELECT + subq_4.metric_time__day + , SUM(subq_4.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_3.metric_time__day + , subq_3.bookings + FROM ( + -- Constrain Output with WHERE + SELECT + subq_2.metric_time__day + , subq_2.booking__is_instant + , subq_2.bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'booking__is_instant', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.booking__is_instant + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + WHERE NOT booking__is_instant + ) subq_3 + ) subq_4 + GROUP BY + subq_4.metric_time__day + ) subq_5 +) subq_6 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_single_expr_and_alias__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_single_expr_and_alias__plan0_optimized.sql new file mode 100644 index 0000000000..18094198a4 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_measure_constraint_with_single_expr_and_alias__plan0_optimized.sql @@ -0,0 +1,28 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , delayed_bookings * 2 AS double_counted_delayed_bookings +FROM ( + -- Constrain Output with WHERE + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS delayed_bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'booking__is_instant', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , is_instant AS booking__is_instant + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_9 + WHERE NOT booking__is_instant + GROUP BY + metric_time__day +) subq_13 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_metric_with_measures_from_multiple_sources_no_dimensions__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_metric_with_measures_from_multiple_sources_no_dimensions__plan0.sql new file mode 100644 index 0000000000..cbc1f426c2 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_metric_with_measures_from_multiple_sources_no_dimensions__plan0.sql @@ -0,0 +1,368 @@ +-- Compute Metrics via Expressions +SELECT + CAST(subq_10.bookings AS DOUBLE) / CAST(NULLIF(subq_10.listings, 0) AS DOUBLE) AS bookings_per_listing +FROM ( + -- Combine Aggregated Outputs + SELECT + MAX(subq_4.bookings) AS bookings + , MAX(subq_9.listings) AS listings + FROM ( + -- Compute Metrics via Expressions + SELECT + subq_3.bookings + FROM ( + -- Aggregate Measures + SELECT + SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings'] + SELECT + subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + ) subq_3 + ) subq_4 + CROSS JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_8.listings + FROM ( + -- Aggregate Measures + SELECT + SUM(subq_7.listings) AS listings + FROM ( + -- Pass Only Elements: + -- ['listings'] + SELECT + subq_6.listings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_5.ds__day + , subq_5.ds__week + , subq_5.ds__month + , subq_5.ds__quarter + , subq_5.ds__year + , subq_5.ds__extract_year + , subq_5.ds__extract_quarter + , subq_5.ds__extract_month + , subq_5.ds__extract_day + , subq_5.ds__extract_dow + , subq_5.ds__extract_doy + , subq_5.created_at__day + , subq_5.created_at__week + , subq_5.created_at__month + , subq_5.created_at__quarter + , subq_5.created_at__year + , subq_5.created_at__extract_year + , subq_5.created_at__extract_quarter + , subq_5.created_at__extract_month + , subq_5.created_at__extract_day + , subq_5.created_at__extract_dow + , subq_5.created_at__extract_doy + , subq_5.listing__ds__day + , subq_5.listing__ds__week + , subq_5.listing__ds__month + , subq_5.listing__ds__quarter + , subq_5.listing__ds__year + , subq_5.listing__ds__extract_year + , subq_5.listing__ds__extract_quarter + , subq_5.listing__ds__extract_month + , subq_5.listing__ds__extract_day + , subq_5.listing__ds__extract_dow + , subq_5.listing__ds__extract_doy + , subq_5.listing__created_at__day + , subq_5.listing__created_at__week + , subq_5.listing__created_at__month + , subq_5.listing__created_at__quarter + , subq_5.listing__created_at__year + , subq_5.listing__created_at__extract_year + , subq_5.listing__created_at__extract_quarter + , subq_5.listing__created_at__extract_month + , subq_5.listing__created_at__extract_day + , subq_5.listing__created_at__extract_dow + , subq_5.listing__created_at__extract_doy + , subq_5.ds__day AS metric_time__day + , subq_5.ds__week AS metric_time__week + , subq_5.ds__month AS metric_time__month + , subq_5.ds__quarter AS metric_time__quarter + , subq_5.ds__year AS metric_time__year + , subq_5.ds__extract_year AS metric_time__extract_year + , subq_5.ds__extract_quarter AS metric_time__extract_quarter + , subq_5.ds__extract_month AS metric_time__extract_month + , subq_5.ds__extract_day AS metric_time__extract_day + , subq_5.ds__extract_dow AS metric_time__extract_dow + , subq_5.ds__extract_doy AS metric_time__extract_doy + , subq_5.listing + , subq_5.user + , subq_5.listing__user + , subq_5.country_latest + , subq_5.is_lux_latest + , subq_5.capacity_latest + , subq_5.listing__country_latest + , subq_5.listing__is_lux_latest + , subq_5.listing__capacity_latest + , subq_5.listings + , subq_5.largest_listing + , subq_5.smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_5 + ) subq_6 + ) subq_7 + ) subq_8 + ) subq_9 +) subq_10 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_metric_with_measures_from_multiple_sources_no_dimensions__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_metric_with_measures_from_multiple_sources_no_dimensions__plan0_optimized.sql new file mode 100644 index 0000000000..1e16df6c0d --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_metric_with_measures_from_multiple_sources_no_dimensions__plan0_optimized.sql @@ -0,0 +1,26 @@ +-- Combine Aggregated Outputs +-- Compute Metrics via Expressions +SELECT + CAST(MAX(subq_15.bookings) AS DOUBLE) / CAST(NULLIF(MAX(subq_20.listings), 0) AS DOUBLE) AS bookings_per_listing +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + SUM(1) AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 +) subq_15 +CROSS JOIN ( + -- Read Elements From Semantic Model 'listings_latest' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['listings'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + SUM(1) AS listings + FROM ***************************.dim_listings_latest listings_latest_src_10005 +) subq_20 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_through_scd_dimension__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_through_scd_dimension__plan0.sql new file mode 100644 index 0000000000..2bbff5684b --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_through_scd_dimension__plan0.sql @@ -0,0 +1,460 @@ +-- Compute Metrics via Expressions +SELECT + subq_10.metric_time__day + , subq_10.listing__user__home_state_latest + , subq_10.bookings +FROM ( + -- Aggregate Measures + SELECT + subq_9.metric_time__day + , subq_9.listing__user__home_state_latest + , SUM(subq_9.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'listing__user__home_state_latest', 'metric_time__day'] + SELECT + subq_8.metric_time__day + , subq_8.listing__user__home_state_latest + , subq_8.bookings + FROM ( + -- Join Standard Outputs + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_7.window_start__day AS listing__window_start__day + , subq_7.window_end__day AS listing__window_end__day + , subq_2.listing AS listing + , subq_7.user__home_state_latest AS listing__user__home_state_latest + , subq_2.bookings AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day', 'listing'] + SELECT + subq_1.metric_time__day + , subq_1.listing + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.user + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.booking__user + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.bookers + , subq_0.average_booking_value + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10017.booking_value + , bookings_source_src_10017.guest_id AS bookers + , bookings_source_src_10017.booking_value AS average_booking_value + , bookings_source_src_10017.booking_value AS booking_payments + , bookings_source_src_10017.is_instant + , DATE_TRUNC('day', bookings_source_src_10017.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10017.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10017.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10017.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10017.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10017.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10017.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10017.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10017.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10017.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.paid_at) AS paid_at__extract_doy + , bookings_source_src_10017.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10017.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10017.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10017.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10017.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10017.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10017.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10017.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10017.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10017.listing_id AS listing + , bookings_source_src_10017.guest_id AS guest + , bookings_source_src_10017.host_id AS host + , bookings_source_src_10017.guest_id AS user + , bookings_source_src_10017.listing_id AS booking__listing + , bookings_source_src_10017.guest_id AS booking__guest + , bookings_source_src_10017.host_id AS booking__host + , bookings_source_src_10017.guest_id AS booking__user + FROM ***************************.fct_bookings bookings_source_src_10017 + ) subq_0 + ) subq_1 + ) subq_2 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['user__home_state_latest', 'window_start__day', 'window_end__day', 'listing'] + SELECT + subq_6.window_start__day + , subq_6.window_end__day + , subq_6.listing + , subq_6.user__home_state_latest + FROM ( + -- Join Standard Outputs + SELECT + subq_3.window_start__day AS window_start__day + , subq_3.window_start__week AS window_start__week + , subq_3.window_start__month AS window_start__month + , subq_3.window_start__quarter AS window_start__quarter + , subq_3.window_start__year AS window_start__year + , subq_3.window_start__extract_year AS window_start__extract_year + , subq_3.window_start__extract_quarter AS window_start__extract_quarter + , subq_3.window_start__extract_month AS window_start__extract_month + , subq_3.window_start__extract_day AS window_start__extract_day + , subq_3.window_start__extract_dow AS window_start__extract_dow + , subq_3.window_start__extract_doy AS window_start__extract_doy + , subq_3.window_end__day AS window_end__day + , subq_3.window_end__week AS window_end__week + , subq_3.window_end__month AS window_end__month + , subq_3.window_end__quarter AS window_end__quarter + , subq_3.window_end__year AS window_end__year + , subq_3.window_end__extract_year AS window_end__extract_year + , subq_3.window_end__extract_quarter AS window_end__extract_quarter + , subq_3.window_end__extract_month AS window_end__extract_month + , subq_3.window_end__extract_day AS window_end__extract_day + , subq_3.window_end__extract_dow AS window_end__extract_dow + , subq_3.window_end__extract_doy AS window_end__extract_doy + , subq_3.listing__window_start__day AS listing__window_start__day + , subq_3.listing__window_start__week AS listing__window_start__week + , subq_3.listing__window_start__month AS listing__window_start__month + , subq_3.listing__window_start__quarter AS listing__window_start__quarter + , subq_3.listing__window_start__year AS listing__window_start__year + , subq_3.listing__window_start__extract_year AS listing__window_start__extract_year + , subq_3.listing__window_start__extract_quarter AS listing__window_start__extract_quarter + , subq_3.listing__window_start__extract_month AS listing__window_start__extract_month + , subq_3.listing__window_start__extract_day AS listing__window_start__extract_day + , subq_3.listing__window_start__extract_dow AS listing__window_start__extract_dow + , subq_3.listing__window_start__extract_doy AS listing__window_start__extract_doy + , subq_3.listing__window_end__day AS listing__window_end__day + , subq_3.listing__window_end__week AS listing__window_end__week + , subq_3.listing__window_end__month AS listing__window_end__month + , subq_3.listing__window_end__quarter AS listing__window_end__quarter + , subq_3.listing__window_end__year AS listing__window_end__year + , subq_3.listing__window_end__extract_year AS listing__window_end__extract_year + , subq_3.listing__window_end__extract_quarter AS listing__window_end__extract_quarter + , subq_3.listing__window_end__extract_month AS listing__window_end__extract_month + , subq_3.listing__window_end__extract_day AS listing__window_end__extract_day + , subq_3.listing__window_end__extract_dow AS listing__window_end__extract_dow + , subq_3.listing__window_end__extract_doy AS listing__window_end__extract_doy + , subq_5.ds__day AS user__ds__day + , subq_5.ds__week AS user__ds__week + , subq_5.ds__month AS user__ds__month + , subq_5.ds__quarter AS user__ds__quarter + , subq_5.ds__year AS user__ds__year + , subq_5.ds__extract_year AS user__ds__extract_year + , subq_5.ds__extract_quarter AS user__ds__extract_quarter + , subq_5.ds__extract_month AS user__ds__extract_month + , subq_5.ds__extract_day AS user__ds__extract_day + , subq_5.ds__extract_dow AS user__ds__extract_dow + , subq_5.ds__extract_doy AS user__ds__extract_doy + , subq_3.listing AS listing + , subq_3.user AS user + , subq_3.listing__user AS listing__user + , subq_3.country AS country + , subq_3.is_lux AS is_lux + , subq_3.capacity AS capacity + , subq_3.listing__country AS listing__country + , subq_3.listing__is_lux AS listing__is_lux + , subq_3.listing__capacity AS listing__capacity + , subq_5.home_state_latest AS user__home_state_latest + FROM ( + -- Read Elements From Semantic Model 'listings' + SELECT + listings_src_10019.active_from AS window_start__day + , DATE_TRUNC('week', listings_src_10019.active_from) AS window_start__week + , DATE_TRUNC('month', listings_src_10019.active_from) AS window_start__month + , DATE_TRUNC('quarter', listings_src_10019.active_from) AS window_start__quarter + , DATE_TRUNC('year', listings_src_10019.active_from) AS window_start__year + , EXTRACT(year FROM listings_src_10019.active_from) AS window_start__extract_year + , EXTRACT(quarter FROM listings_src_10019.active_from) AS window_start__extract_quarter + , EXTRACT(month FROM listings_src_10019.active_from) AS window_start__extract_month + , EXTRACT(day FROM listings_src_10019.active_from) AS window_start__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_src_10019.active_from) AS window_start__extract_dow + , EXTRACT(doy FROM listings_src_10019.active_from) AS window_start__extract_doy + , listings_src_10019.active_to AS window_end__day + , DATE_TRUNC('week', listings_src_10019.active_to) AS window_end__week + , DATE_TRUNC('month', listings_src_10019.active_to) AS window_end__month + , DATE_TRUNC('quarter', listings_src_10019.active_to) AS window_end__quarter + , DATE_TRUNC('year', listings_src_10019.active_to) AS window_end__year + , EXTRACT(year FROM listings_src_10019.active_to) AS window_end__extract_year + , EXTRACT(quarter FROM listings_src_10019.active_to) AS window_end__extract_quarter + , EXTRACT(month FROM listings_src_10019.active_to) AS window_end__extract_month + , EXTRACT(day FROM listings_src_10019.active_to) AS window_end__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_src_10019.active_to) AS window_end__extract_dow + , EXTRACT(doy FROM listings_src_10019.active_to) AS window_end__extract_doy + , listings_src_10019.country + , listings_src_10019.is_lux + , listings_src_10019.capacity + , listings_src_10019.active_from AS listing__window_start__day + , DATE_TRUNC('week', listings_src_10019.active_from) AS listing__window_start__week + , DATE_TRUNC('month', listings_src_10019.active_from) AS listing__window_start__month + , DATE_TRUNC('quarter', listings_src_10019.active_from) AS listing__window_start__quarter + , DATE_TRUNC('year', listings_src_10019.active_from) AS listing__window_start__year + , EXTRACT(year FROM listings_src_10019.active_from) AS listing__window_start__extract_year + , EXTRACT(quarter FROM listings_src_10019.active_from) AS listing__window_start__extract_quarter + , EXTRACT(month FROM listings_src_10019.active_from) AS listing__window_start__extract_month + , EXTRACT(day FROM listings_src_10019.active_from) AS listing__window_start__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_src_10019.active_from) AS listing__window_start__extract_dow + , EXTRACT(doy FROM listings_src_10019.active_from) AS listing__window_start__extract_doy + , listings_src_10019.active_to AS listing__window_end__day + , DATE_TRUNC('week', listings_src_10019.active_to) AS listing__window_end__week + , DATE_TRUNC('month', listings_src_10019.active_to) AS listing__window_end__month + , DATE_TRUNC('quarter', listings_src_10019.active_to) AS listing__window_end__quarter + , DATE_TRUNC('year', listings_src_10019.active_to) AS listing__window_end__year + , EXTRACT(year FROM listings_src_10019.active_to) AS listing__window_end__extract_year + , EXTRACT(quarter FROM listings_src_10019.active_to) AS listing__window_end__extract_quarter + , EXTRACT(month FROM listings_src_10019.active_to) AS listing__window_end__extract_month + , EXTRACT(day FROM listings_src_10019.active_to) AS listing__window_end__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_src_10019.active_to) AS listing__window_end__extract_dow + , EXTRACT(doy FROM listings_src_10019.active_to) AS listing__window_end__extract_doy + , listings_src_10019.country AS listing__country + , listings_src_10019.is_lux AS listing__is_lux + , listings_src_10019.capacity AS listing__capacity + , listings_src_10019.listing_id AS listing + , listings_src_10019.user_id AS user + , listings_src_10019.user_id AS listing__user + FROM ***************************.dim_listings listings_src_10019 + ) subq_3 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['home_state_latest', + -- 'user__home_state_latest', + -- 'ds__day', + -- 'ds__week', + -- 'ds__month', + -- 'ds__quarter', + -- 'ds__year', + -- 'ds__extract_year', + -- 'ds__extract_quarter', + -- 'ds__extract_month', + -- 'ds__extract_day', + -- 'ds__extract_dow', + -- 'ds__extract_doy', + -- 'user__ds__day', + -- 'user__ds__week', + -- 'user__ds__month', + -- 'user__ds__quarter', + -- 'user__ds__year', + -- 'user__ds__extract_year', + -- 'user__ds__extract_quarter', + -- 'user__ds__extract_month', + -- 'user__ds__extract_day', + -- 'user__ds__extract_dow', + -- 'user__ds__extract_doy', + -- 'user'] + SELECT + subq_4.ds__day + , subq_4.ds__week + , subq_4.ds__month + , subq_4.ds__quarter + , subq_4.ds__year + , subq_4.ds__extract_year + , subq_4.ds__extract_quarter + , subq_4.ds__extract_month + , subq_4.ds__extract_day + , subq_4.ds__extract_dow + , subq_4.ds__extract_doy + , subq_4.user__ds__day + , subq_4.user__ds__week + , subq_4.user__ds__month + , subq_4.user__ds__quarter + , subq_4.user__ds__year + , subq_4.user__ds__extract_year + , subq_4.user__ds__extract_quarter + , subq_4.user__ds__extract_month + , subq_4.user__ds__extract_day + , subq_4.user__ds__extract_dow + , subq_4.user__ds__extract_doy + , subq_4.user + , subq_4.home_state_latest + , subq_4.user__home_state_latest + FROM ( + -- Read Elements From Semantic Model 'users_latest' + SELECT + DATE_TRUNC('day', users_latest_src_10023.ds) AS ds__day + , DATE_TRUNC('week', users_latest_src_10023.ds) AS ds__week + , DATE_TRUNC('month', users_latest_src_10023.ds) AS ds__month + , DATE_TRUNC('quarter', users_latest_src_10023.ds) AS ds__quarter + , DATE_TRUNC('year', users_latest_src_10023.ds) AS ds__year + , EXTRACT(year FROM users_latest_src_10023.ds) AS ds__extract_year + , EXTRACT(quarter FROM users_latest_src_10023.ds) AS ds__extract_quarter + , EXTRACT(month FROM users_latest_src_10023.ds) AS ds__extract_month + , EXTRACT(day FROM users_latest_src_10023.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10023.ds) AS ds__extract_dow + , EXTRACT(doy FROM users_latest_src_10023.ds) AS ds__extract_doy + , users_latest_src_10023.home_state_latest + , DATE_TRUNC('day', users_latest_src_10023.ds) AS user__ds__day + , DATE_TRUNC('week', users_latest_src_10023.ds) AS user__ds__week + , DATE_TRUNC('month', users_latest_src_10023.ds) AS user__ds__month + , DATE_TRUNC('quarter', users_latest_src_10023.ds) AS user__ds__quarter + , DATE_TRUNC('year', users_latest_src_10023.ds) AS user__ds__year + , EXTRACT(year FROM users_latest_src_10023.ds) AS user__ds__extract_year + , EXTRACT(quarter FROM users_latest_src_10023.ds) AS user__ds__extract_quarter + , EXTRACT(month FROM users_latest_src_10023.ds) AS user__ds__extract_month + , EXTRACT(day FROM users_latest_src_10023.ds) AS user__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_latest_src_10023.ds) AS user__ds__extract_dow + , EXTRACT(doy FROM users_latest_src_10023.ds) AS user__ds__extract_doy + , users_latest_src_10023.home_state_latest AS user__home_state_latest + , users_latest_src_10023.user_id AS user + FROM ***************************.dim_users_latest users_latest_src_10023 + ) subq_4 + ) subq_5 + ON + subq_3.user = subq_5.user + ) subq_6 + ) subq_7 + ON + ( + subq_2.listing = subq_7.listing + ) AND ( + ( + subq_2.metric_time__day >= subq_7.window_start__day + ) AND ( + ( + subq_2.metric_time__day < subq_7.window_end__day + ) OR ( + subq_7.window_end__day IS NULL + ) + ) + ) + ) subq_8 + ) subq_9 + GROUP BY + subq_9.metric_time__day + , subq_9.listing__user__home_state_latest +) subq_10 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_through_scd_dimension__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_through_scd_dimension__plan0_optimized.sql new file mode 100644 index 0000000000..afba0439d0 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_through_scd_dimension__plan0_optimized.sql @@ -0,0 +1,52 @@ +-- Join Standard Outputs +-- Pass Only Elements: +-- ['bookings', 'listing__user__home_state_latest', 'metric_time__day'] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + subq_13.metric_time__day AS metric_time__day + , subq_18.user__home_state_latest AS listing__user__home_state_latest + , SUM(subq_13.bookings) AS bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day', 'listing'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , listing_id AS listing + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10017 +) subq_13 +LEFT OUTER JOIN ( + -- Join Standard Outputs + -- Pass Only Elements: + -- ['user__home_state_latest', 'window_start__day', 'window_end__day', 'listing'] + SELECT + listings_src_10019.active_from AS window_start__day + , listings_src_10019.active_to AS window_end__day + , listings_src_10019.listing_id AS listing + , users_latest_src_10023.home_state_latest AS user__home_state_latest + FROM ***************************.dim_listings listings_src_10019 + LEFT OUTER JOIN + ***************************.dim_users_latest users_latest_src_10023 + ON + listings_src_10019.user_id = users_latest_src_10023.user_id +) subq_18 +ON + ( + subq_13.listing = subq_18.listing + ) AND ( + ( + subq_13.metric_time__day >= subq_18.window_start__day + ) AND ( + ( + subq_13.metric_time__day < subq_18.window_end__day + ) OR ( + subq_18.window_end__day IS NULL + ) + ) + ) +GROUP BY + subq_13.metric_time__day + , subq_18.user__home_state_latest diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_to_scd_dimension__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_to_scd_dimension__plan0.sql new file mode 100644 index 0000000000..5e879e0c1c --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_to_scd_dimension__plan0.sql @@ -0,0 +1,440 @@ +-- Compute Metrics via Expressions +SELECT + subq_10.metric_time__day + , subq_10.listing__lux_listing__is_confirmed_lux + , subq_10.bookings +FROM ( + -- Aggregate Measures + SELECT + subq_9.metric_time__day + , subq_9.listing__lux_listing__is_confirmed_lux + , SUM(subq_9.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'listing__lux_listing__is_confirmed_lux', 'metric_time__day'] + SELECT + subq_8.metric_time__day + , subq_8.listing__lux_listing__is_confirmed_lux + , subq_8.bookings + FROM ( + -- Join Standard Outputs + SELECT + subq_2.metric_time__day AS metric_time__day + , subq_7.lux_listing__window_start__day AS listing__lux_listing__window_start__day + , subq_7.lux_listing__window_end__day AS listing__lux_listing__window_end__day + , subq_2.listing AS listing + , subq_7.lux_listing__is_confirmed_lux AS listing__lux_listing__is_confirmed_lux + , subq_2.bookings AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day', 'listing'] + SELECT + subq_1.metric_time__day + , subq_1.listing + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.user + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.booking__user + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.bookers + , subq_0.average_booking_value + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10017.booking_value + , bookings_source_src_10017.guest_id AS bookers + , bookings_source_src_10017.booking_value AS average_booking_value + , bookings_source_src_10017.booking_value AS booking_payments + , bookings_source_src_10017.is_instant + , DATE_TRUNC('day', bookings_source_src_10017.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10017.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10017.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10017.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10017.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10017.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10017.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10017.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10017.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10017.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.paid_at) AS paid_at__extract_doy + , bookings_source_src_10017.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10017.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10017.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10017.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10017.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10017.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10017.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10017.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10017.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10017.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10017.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10017.listing_id AS listing + , bookings_source_src_10017.guest_id AS guest + , bookings_source_src_10017.host_id AS host + , bookings_source_src_10017.guest_id AS user + , bookings_source_src_10017.listing_id AS booking__listing + , bookings_source_src_10017.guest_id AS booking__guest + , bookings_source_src_10017.host_id AS booking__host + , bookings_source_src_10017.guest_id AS booking__user + FROM ***************************.fct_bookings bookings_source_src_10017 + ) subq_0 + ) subq_1 + ) subq_2 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['lux_listing__is_confirmed_lux', + -- 'lux_listing__window_start__day', + -- 'lux_listing__window_end__day', + -- 'listing'] + SELECT + subq_6.lux_listing__window_start__day + , subq_6.lux_listing__window_end__day + , subq_6.listing + , subq_6.lux_listing__is_confirmed_lux + FROM ( + -- Join Standard Outputs + SELECT + subq_5.window_start__day AS lux_listing__window_start__day + , subq_5.window_start__week AS lux_listing__window_start__week + , subq_5.window_start__month AS lux_listing__window_start__month + , subq_5.window_start__quarter AS lux_listing__window_start__quarter + , subq_5.window_start__year AS lux_listing__window_start__year + , subq_5.window_start__extract_year AS lux_listing__window_start__extract_year + , subq_5.window_start__extract_quarter AS lux_listing__window_start__extract_quarter + , subq_5.window_start__extract_month AS lux_listing__window_start__extract_month + , subq_5.window_start__extract_day AS lux_listing__window_start__extract_day + , subq_5.window_start__extract_dow AS lux_listing__window_start__extract_dow + , subq_5.window_start__extract_doy AS lux_listing__window_start__extract_doy + , subq_5.window_end__day AS lux_listing__window_end__day + , subq_5.window_end__week AS lux_listing__window_end__week + , subq_5.window_end__month AS lux_listing__window_end__month + , subq_5.window_end__quarter AS lux_listing__window_end__quarter + , subq_5.window_end__year AS lux_listing__window_end__year + , subq_5.window_end__extract_year AS lux_listing__window_end__extract_year + , subq_5.window_end__extract_quarter AS lux_listing__window_end__extract_quarter + , subq_5.window_end__extract_month AS lux_listing__window_end__extract_month + , subq_5.window_end__extract_day AS lux_listing__window_end__extract_day + , subq_5.window_end__extract_dow AS lux_listing__window_end__extract_dow + , subq_5.window_end__extract_doy AS lux_listing__window_end__extract_doy + , subq_3.listing AS listing + , subq_3.lux_listing AS lux_listing + , subq_3.listing__lux_listing AS listing__lux_listing + , subq_5.is_confirmed_lux AS lux_listing__is_confirmed_lux + FROM ( + -- Read Elements From Semantic Model 'lux_listing_mapping' + SELECT + lux_listing_mapping_src_10020.listing_id AS listing + , lux_listing_mapping_src_10020.lux_listing_id AS lux_listing + , lux_listing_mapping_src_10020.lux_listing_id AS listing__lux_listing + FROM ***************************.dim_lux_listing_id_mapping lux_listing_mapping_src_10020 + ) subq_3 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['is_confirmed_lux', + -- 'lux_listing__is_confirmed_lux', + -- 'window_start__day', + -- 'window_start__week', + -- 'window_start__month', + -- 'window_start__quarter', + -- 'window_start__year', + -- 'window_start__extract_year', + -- 'window_start__extract_quarter', + -- 'window_start__extract_month', + -- 'window_start__extract_day', + -- 'window_start__extract_dow', + -- 'window_start__extract_doy', + -- 'window_end__day', + -- 'window_end__week', + -- 'window_end__month', + -- 'window_end__quarter', + -- 'window_end__year', + -- 'window_end__extract_year', + -- 'window_end__extract_quarter', + -- 'window_end__extract_month', + -- 'window_end__extract_day', + -- 'window_end__extract_dow', + -- 'window_end__extract_doy', + -- 'lux_listing__window_start__day', + -- 'lux_listing__window_start__week', + -- 'lux_listing__window_start__month', + -- 'lux_listing__window_start__quarter', + -- 'lux_listing__window_start__year', + -- 'lux_listing__window_start__extract_year', + -- 'lux_listing__window_start__extract_quarter', + -- 'lux_listing__window_start__extract_month', + -- 'lux_listing__window_start__extract_day', + -- 'lux_listing__window_start__extract_dow', + -- 'lux_listing__window_start__extract_doy', + -- 'lux_listing__window_end__day', + -- 'lux_listing__window_end__week', + -- 'lux_listing__window_end__month', + -- 'lux_listing__window_end__quarter', + -- 'lux_listing__window_end__year', + -- 'lux_listing__window_end__extract_year', + -- 'lux_listing__window_end__extract_quarter', + -- 'lux_listing__window_end__extract_month', + -- 'lux_listing__window_end__extract_day', + -- 'lux_listing__window_end__extract_dow', + -- 'lux_listing__window_end__extract_doy', + -- 'lux_listing'] + SELECT + subq_4.window_start__day + , subq_4.window_start__week + , subq_4.window_start__month + , subq_4.window_start__quarter + , subq_4.window_start__year + , subq_4.window_start__extract_year + , subq_4.window_start__extract_quarter + , subq_4.window_start__extract_month + , subq_4.window_start__extract_day + , subq_4.window_start__extract_dow + , subq_4.window_start__extract_doy + , subq_4.window_end__day + , subq_4.window_end__week + , subq_4.window_end__month + , subq_4.window_end__quarter + , subq_4.window_end__year + , subq_4.window_end__extract_year + , subq_4.window_end__extract_quarter + , subq_4.window_end__extract_month + , subq_4.window_end__extract_day + , subq_4.window_end__extract_dow + , subq_4.window_end__extract_doy + , subq_4.lux_listing__window_start__day + , subq_4.lux_listing__window_start__week + , subq_4.lux_listing__window_start__month + , subq_4.lux_listing__window_start__quarter + , subq_4.lux_listing__window_start__year + , subq_4.lux_listing__window_start__extract_year + , subq_4.lux_listing__window_start__extract_quarter + , subq_4.lux_listing__window_start__extract_month + , subq_4.lux_listing__window_start__extract_day + , subq_4.lux_listing__window_start__extract_dow + , subq_4.lux_listing__window_start__extract_doy + , subq_4.lux_listing__window_end__day + , subq_4.lux_listing__window_end__week + , subq_4.lux_listing__window_end__month + , subq_4.lux_listing__window_end__quarter + , subq_4.lux_listing__window_end__year + , subq_4.lux_listing__window_end__extract_year + , subq_4.lux_listing__window_end__extract_quarter + , subq_4.lux_listing__window_end__extract_month + , subq_4.lux_listing__window_end__extract_day + , subq_4.lux_listing__window_end__extract_dow + , subq_4.lux_listing__window_end__extract_doy + , subq_4.lux_listing + , subq_4.is_confirmed_lux + , subq_4.lux_listing__is_confirmed_lux + FROM ( + -- Read Elements From Semantic Model 'lux_listings' + SELECT + lux_listings_src_10021.valid_from AS window_start__day + , DATE_TRUNC('week', lux_listings_src_10021.valid_from) AS window_start__week + , DATE_TRUNC('month', lux_listings_src_10021.valid_from) AS window_start__month + , DATE_TRUNC('quarter', lux_listings_src_10021.valid_from) AS window_start__quarter + , DATE_TRUNC('year', lux_listings_src_10021.valid_from) AS window_start__year + , EXTRACT(year FROM lux_listings_src_10021.valid_from) AS window_start__extract_year + , EXTRACT(quarter FROM lux_listings_src_10021.valid_from) AS window_start__extract_quarter + , EXTRACT(month FROM lux_listings_src_10021.valid_from) AS window_start__extract_month + , EXTRACT(day FROM lux_listings_src_10021.valid_from) AS window_start__extract_day + , EXTRACT(DAY_OF_WEEK FROM lux_listings_src_10021.valid_from) AS window_start__extract_dow + , EXTRACT(doy FROM lux_listings_src_10021.valid_from) AS window_start__extract_doy + , lux_listings_src_10021.valid_to AS window_end__day + , DATE_TRUNC('week', lux_listings_src_10021.valid_to) AS window_end__week + , DATE_TRUNC('month', lux_listings_src_10021.valid_to) AS window_end__month + , DATE_TRUNC('quarter', lux_listings_src_10021.valid_to) AS window_end__quarter + , DATE_TRUNC('year', lux_listings_src_10021.valid_to) AS window_end__year + , EXTRACT(year FROM lux_listings_src_10021.valid_to) AS window_end__extract_year + , EXTRACT(quarter FROM lux_listings_src_10021.valid_to) AS window_end__extract_quarter + , EXTRACT(month FROM lux_listings_src_10021.valid_to) AS window_end__extract_month + , EXTRACT(day FROM lux_listings_src_10021.valid_to) AS window_end__extract_day + , EXTRACT(DAY_OF_WEEK FROM lux_listings_src_10021.valid_to) AS window_end__extract_dow + , EXTRACT(doy FROM lux_listings_src_10021.valid_to) AS window_end__extract_doy + , lux_listings_src_10021.is_confirmed_lux + , lux_listings_src_10021.valid_from AS lux_listing__window_start__day + , DATE_TRUNC('week', lux_listings_src_10021.valid_from) AS lux_listing__window_start__week + , DATE_TRUNC('month', lux_listings_src_10021.valid_from) AS lux_listing__window_start__month + , DATE_TRUNC('quarter', lux_listings_src_10021.valid_from) AS lux_listing__window_start__quarter + , DATE_TRUNC('year', lux_listings_src_10021.valid_from) AS lux_listing__window_start__year + , EXTRACT(year FROM lux_listings_src_10021.valid_from) AS lux_listing__window_start__extract_year + , EXTRACT(quarter FROM lux_listings_src_10021.valid_from) AS lux_listing__window_start__extract_quarter + , EXTRACT(month FROM lux_listings_src_10021.valid_from) AS lux_listing__window_start__extract_month + , EXTRACT(day FROM lux_listings_src_10021.valid_from) AS lux_listing__window_start__extract_day + , EXTRACT(DAY_OF_WEEK FROM lux_listings_src_10021.valid_from) AS lux_listing__window_start__extract_dow + , EXTRACT(doy FROM lux_listings_src_10021.valid_from) AS lux_listing__window_start__extract_doy + , lux_listings_src_10021.valid_to AS lux_listing__window_end__day + , DATE_TRUNC('week', lux_listings_src_10021.valid_to) AS lux_listing__window_end__week + , DATE_TRUNC('month', lux_listings_src_10021.valid_to) AS lux_listing__window_end__month + , DATE_TRUNC('quarter', lux_listings_src_10021.valid_to) AS lux_listing__window_end__quarter + , DATE_TRUNC('year', lux_listings_src_10021.valid_to) AS lux_listing__window_end__year + , EXTRACT(year FROM lux_listings_src_10021.valid_to) AS lux_listing__window_end__extract_year + , EXTRACT(quarter FROM lux_listings_src_10021.valid_to) AS lux_listing__window_end__extract_quarter + , EXTRACT(month FROM lux_listings_src_10021.valid_to) AS lux_listing__window_end__extract_month + , EXTRACT(day FROM lux_listings_src_10021.valid_to) AS lux_listing__window_end__extract_day + , EXTRACT(DAY_OF_WEEK FROM lux_listings_src_10021.valid_to) AS lux_listing__window_end__extract_dow + , EXTRACT(doy FROM lux_listings_src_10021.valid_to) AS lux_listing__window_end__extract_doy + , lux_listings_src_10021.is_confirmed_lux AS lux_listing__is_confirmed_lux + , lux_listings_src_10021.lux_listing_id AS lux_listing + FROM ***************************.dim_lux_listings lux_listings_src_10021 + ) subq_4 + ) subq_5 + ON + subq_3.lux_listing = subq_5.lux_listing + ) subq_6 + ) subq_7 + ON + ( + subq_2.listing = subq_7.listing + ) AND ( + ( + subq_2.metric_time__day >= subq_7.lux_listing__window_start__day + ) AND ( + ( + subq_2.metric_time__day < subq_7.lux_listing__window_end__day + ) OR ( + subq_7.lux_listing__window_end__day IS NULL + ) + ) + ) + ) subq_8 + ) subq_9 + GROUP BY + subq_9.metric_time__day + , subq_9.listing__lux_listing__is_confirmed_lux +) subq_10 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_to_scd_dimension__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_to_scd_dimension__plan0_optimized.sql new file mode 100644 index 0000000000..16470814e6 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multi_hop_to_scd_dimension__plan0_optimized.sql @@ -0,0 +1,55 @@ +-- Join Standard Outputs +-- Pass Only Elements: +-- ['bookings', 'listing__lux_listing__is_confirmed_lux', 'metric_time__day'] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + subq_13.metric_time__day AS metric_time__day + , subq_18.lux_listing__is_confirmed_lux AS listing__lux_listing__is_confirmed_lux + , SUM(subq_13.bookings) AS bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day', 'listing'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , listing_id AS listing + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10017 +) subq_13 +LEFT OUTER JOIN ( + -- Join Standard Outputs + -- Pass Only Elements: + -- ['lux_listing__is_confirmed_lux', + -- 'lux_listing__window_start__day', + -- 'lux_listing__window_end__day', + -- 'listing'] + SELECT + lux_listings_src_10021.valid_from AS lux_listing__window_start__day + , lux_listings_src_10021.valid_to AS lux_listing__window_end__day + , lux_listing_mapping_src_10020.listing_id AS listing + , lux_listings_src_10021.is_confirmed_lux AS lux_listing__is_confirmed_lux + FROM ***************************.dim_lux_listing_id_mapping lux_listing_mapping_src_10020 + LEFT OUTER JOIN + ***************************.dim_lux_listings lux_listings_src_10021 + ON + lux_listing_mapping_src_10020.lux_listing_id = lux_listings_src_10021.lux_listing_id +) subq_18 +ON + ( + subq_13.listing = subq_18.listing + ) AND ( + ( + subq_13.metric_time__day >= subq_18.lux_listing__window_start__day + ) AND ( + ( + subq_13.metric_time__day < subq_18.lux_listing__window_end__day + ) OR ( + subq_18.lux_listing__window_end__day IS NULL + ) + ) + ) +GROUP BY + subq_13.metric_time__day + , subq_18.lux_listing__is_confirmed_lux diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multihop_node__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multihop_node__plan0.sql new file mode 100644 index 0000000000..499b9f8c12 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multihop_node__plan0.sql @@ -0,0 +1,366 @@ +-- Compute Metrics via Expressions +SELECT + subq_10.account_id__customer_id__customer_name + , subq_10.txn_count +FROM ( + -- Aggregate Measures + SELECT + subq_9.account_id__customer_id__customer_name + , SUM(subq_9.txn_count) AS txn_count + FROM ( + -- Pass Only Elements: + -- ['txn_count', 'account_id__customer_id__customer_name'] + SELECT + subq_8.account_id__customer_id__customer_name + , subq_8.txn_count + FROM ( + -- Join Standard Outputs + SELECT + subq_2.ds_partitioned__day AS ds_partitioned__day + , subq_7.ds_partitioned__day AS account_id__ds_partitioned__day + , subq_2.account_id AS account_id + , subq_7.customer_id__customer_name AS account_id__customer_id__customer_name + , subq_2.txn_count AS txn_count + FROM ( + -- Pass Only Elements: + -- ['txn_count', 'ds_partitioned__day', 'account_id'] + SELECT + subq_1.ds_partitioned__day + , subq_1.account_id + , subq_1.txn_count + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.account_id__ds_partitioned__day + , subq_0.account_id__ds_partitioned__week + , subq_0.account_id__ds_partitioned__month + , subq_0.account_id__ds_partitioned__quarter + , subq_0.account_id__ds_partitioned__year + , subq_0.account_id__ds_partitioned__extract_year + , subq_0.account_id__ds_partitioned__extract_quarter + , subq_0.account_id__ds_partitioned__extract_month + , subq_0.account_id__ds_partitioned__extract_day + , subq_0.account_id__ds_partitioned__extract_dow + , subq_0.account_id__ds_partitioned__extract_doy + , subq_0.account_id__ds__day + , subq_0.account_id__ds__week + , subq_0.account_id__ds__month + , subq_0.account_id__ds__quarter + , subq_0.account_id__ds__year + , subq_0.account_id__ds__extract_year + , subq_0.account_id__ds__extract_quarter + , subq_0.account_id__ds__extract_month + , subq_0.account_id__ds__extract_day + , subq_0.account_id__ds__extract_dow + , subq_0.account_id__ds__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.account_id + , subq_0.account_month + , subq_0.account_id__account_month + , subq_0.txn_count + FROM ( + -- Read Elements From Semantic Model 'account_month_txns' + SELECT + account_month_txns_src_10012.txn_count + , DATE_TRUNC('day', account_month_txns_src_10012.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', account_month_txns_src_10012.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', account_month_txns_src_10012.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', account_month_txns_src_10012.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', account_month_txns_src_10012.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM account_month_txns_src_10012.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM account_month_txns_src_10012.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM account_month_txns_src_10012.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM account_month_txns_src_10012.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM account_month_txns_src_10012.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM account_month_txns_src_10012.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', account_month_txns_src_10012.ds) AS ds__day + , DATE_TRUNC('week', account_month_txns_src_10012.ds) AS ds__week + , DATE_TRUNC('month', account_month_txns_src_10012.ds) AS ds__month + , DATE_TRUNC('quarter', account_month_txns_src_10012.ds) AS ds__quarter + , DATE_TRUNC('year', account_month_txns_src_10012.ds) AS ds__year + , EXTRACT(year FROM account_month_txns_src_10012.ds) AS ds__extract_year + , EXTRACT(quarter FROM account_month_txns_src_10012.ds) AS ds__extract_quarter + , EXTRACT(month FROM account_month_txns_src_10012.ds) AS ds__extract_month + , EXTRACT(day FROM account_month_txns_src_10012.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM account_month_txns_src_10012.ds) AS ds__extract_dow + , EXTRACT(doy FROM account_month_txns_src_10012.ds) AS ds__extract_doy + , account_month_txns_src_10012.account_month + , DATE_TRUNC('day', account_month_txns_src_10012.ds_partitioned) AS account_id__ds_partitioned__day + , DATE_TRUNC('week', account_month_txns_src_10012.ds_partitioned) AS account_id__ds_partitioned__week + , DATE_TRUNC('month', account_month_txns_src_10012.ds_partitioned) AS account_id__ds_partitioned__month + , DATE_TRUNC('quarter', account_month_txns_src_10012.ds_partitioned) AS account_id__ds_partitioned__quarter + , DATE_TRUNC('year', account_month_txns_src_10012.ds_partitioned) AS account_id__ds_partitioned__year + , EXTRACT(year FROM account_month_txns_src_10012.ds_partitioned) AS account_id__ds_partitioned__extract_year + , EXTRACT(quarter FROM account_month_txns_src_10012.ds_partitioned) AS account_id__ds_partitioned__extract_quarter + , EXTRACT(month FROM account_month_txns_src_10012.ds_partitioned) AS account_id__ds_partitioned__extract_month + , EXTRACT(day FROM account_month_txns_src_10012.ds_partitioned) AS account_id__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM account_month_txns_src_10012.ds_partitioned) AS account_id__ds_partitioned__extract_dow + , EXTRACT(doy FROM account_month_txns_src_10012.ds_partitioned) AS account_id__ds_partitioned__extract_doy + , DATE_TRUNC('day', account_month_txns_src_10012.ds) AS account_id__ds__day + , DATE_TRUNC('week', account_month_txns_src_10012.ds) AS account_id__ds__week + , DATE_TRUNC('month', account_month_txns_src_10012.ds) AS account_id__ds__month + , DATE_TRUNC('quarter', account_month_txns_src_10012.ds) AS account_id__ds__quarter + , DATE_TRUNC('year', account_month_txns_src_10012.ds) AS account_id__ds__year + , EXTRACT(year FROM account_month_txns_src_10012.ds) AS account_id__ds__extract_year + , EXTRACT(quarter FROM account_month_txns_src_10012.ds) AS account_id__ds__extract_quarter + , EXTRACT(month FROM account_month_txns_src_10012.ds) AS account_id__ds__extract_month + , EXTRACT(day FROM account_month_txns_src_10012.ds) AS account_id__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM account_month_txns_src_10012.ds) AS account_id__ds__extract_dow + , EXTRACT(doy FROM account_month_txns_src_10012.ds) AS account_id__ds__extract_doy + , account_month_txns_src_10012.account_month AS account_id__account_month + , account_month_txns_src_10012.account_id + FROM ***************************.account_month_txns account_month_txns_src_10012 + ) subq_0 + ) subq_1 + ) subq_2 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['customer_id__customer_name', 'ds_partitioned__day', 'account_id'] + SELECT + subq_6.ds_partitioned__day + , subq_6.account_id + , subq_6.customer_id__customer_name + FROM ( + -- Join Standard Outputs + SELECT + subq_3.ds_partitioned__day AS ds_partitioned__day + , subq_3.ds_partitioned__week AS ds_partitioned__week + , subq_3.ds_partitioned__month AS ds_partitioned__month + , subq_3.ds_partitioned__quarter AS ds_partitioned__quarter + , subq_3.ds_partitioned__year AS ds_partitioned__year + , subq_3.ds_partitioned__extract_year AS ds_partitioned__extract_year + , subq_3.ds_partitioned__extract_quarter AS ds_partitioned__extract_quarter + , subq_3.ds_partitioned__extract_month AS ds_partitioned__extract_month + , subq_3.ds_partitioned__extract_day AS ds_partitioned__extract_day + , subq_3.ds_partitioned__extract_dow AS ds_partitioned__extract_dow + , subq_3.ds_partitioned__extract_doy AS ds_partitioned__extract_doy + , subq_3.account_id__ds_partitioned__day AS account_id__ds_partitioned__day + , subq_3.account_id__ds_partitioned__week AS account_id__ds_partitioned__week + , subq_3.account_id__ds_partitioned__month AS account_id__ds_partitioned__month + , subq_3.account_id__ds_partitioned__quarter AS account_id__ds_partitioned__quarter + , subq_3.account_id__ds_partitioned__year AS account_id__ds_partitioned__year + , subq_3.account_id__ds_partitioned__extract_year AS account_id__ds_partitioned__extract_year + , subq_3.account_id__ds_partitioned__extract_quarter AS account_id__ds_partitioned__extract_quarter + , subq_3.account_id__ds_partitioned__extract_month AS account_id__ds_partitioned__extract_month + , subq_3.account_id__ds_partitioned__extract_day AS account_id__ds_partitioned__extract_day + , subq_3.account_id__ds_partitioned__extract_dow AS account_id__ds_partitioned__extract_dow + , subq_3.account_id__ds_partitioned__extract_doy AS account_id__ds_partitioned__extract_doy + , subq_3.bridge_account__ds_partitioned__day AS bridge_account__ds_partitioned__day + , subq_3.bridge_account__ds_partitioned__week AS bridge_account__ds_partitioned__week + , subq_3.bridge_account__ds_partitioned__month AS bridge_account__ds_partitioned__month + , subq_3.bridge_account__ds_partitioned__quarter AS bridge_account__ds_partitioned__quarter + , subq_3.bridge_account__ds_partitioned__year AS bridge_account__ds_partitioned__year + , subq_3.bridge_account__ds_partitioned__extract_year AS bridge_account__ds_partitioned__extract_year + , subq_3.bridge_account__ds_partitioned__extract_quarter AS bridge_account__ds_partitioned__extract_quarter + , subq_3.bridge_account__ds_partitioned__extract_month AS bridge_account__ds_partitioned__extract_month + , subq_3.bridge_account__ds_partitioned__extract_day AS bridge_account__ds_partitioned__extract_day + , subq_3.bridge_account__ds_partitioned__extract_dow AS bridge_account__ds_partitioned__extract_dow + , subq_3.bridge_account__ds_partitioned__extract_doy AS bridge_account__ds_partitioned__extract_doy + , subq_5.ds_partitioned__day AS customer_id__ds_partitioned__day + , subq_5.ds_partitioned__week AS customer_id__ds_partitioned__week + , subq_5.ds_partitioned__month AS customer_id__ds_partitioned__month + , subq_5.ds_partitioned__quarter AS customer_id__ds_partitioned__quarter + , subq_5.ds_partitioned__year AS customer_id__ds_partitioned__year + , subq_5.ds_partitioned__extract_year AS customer_id__ds_partitioned__extract_year + , subq_5.ds_partitioned__extract_quarter AS customer_id__ds_partitioned__extract_quarter + , subq_5.ds_partitioned__extract_month AS customer_id__ds_partitioned__extract_month + , subq_5.ds_partitioned__extract_day AS customer_id__ds_partitioned__extract_day + , subq_5.ds_partitioned__extract_dow AS customer_id__ds_partitioned__extract_dow + , subq_5.ds_partitioned__extract_doy AS customer_id__ds_partitioned__extract_doy + , subq_3.account_id AS account_id + , subq_3.customer_id AS customer_id + , subq_3.account_id__customer_id AS account_id__customer_id + , subq_3.bridge_account__account_id AS bridge_account__account_id + , subq_3.bridge_account__customer_id AS bridge_account__customer_id + , subq_3.extra_dim AS extra_dim + , subq_3.account_id__extra_dim AS account_id__extra_dim + , subq_3.bridge_account__extra_dim AS bridge_account__extra_dim + , subq_5.customer_name AS customer_id__customer_name + , subq_5.customer_atomic_weight AS customer_id__customer_atomic_weight + FROM ( + -- Read Elements From Semantic Model 'bridge_table' + SELECT + bridge_table_src_10013.extra_dim + , DATE_TRUNC('day', bridge_table_src_10013.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bridge_table_src_10013.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bridge_table_src_10013.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bridge_table_src_10013.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bridge_table_src_10013.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bridge_table_src_10013.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bridge_table_src_10013.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bridge_table_src_10013.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bridge_table_src_10013.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bridge_table_src_10013.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bridge_table_src_10013.ds_partitioned) AS ds_partitioned__extract_doy + , bridge_table_src_10013.extra_dim AS account_id__extra_dim + , DATE_TRUNC('day', bridge_table_src_10013.ds_partitioned) AS account_id__ds_partitioned__day + , DATE_TRUNC('week', bridge_table_src_10013.ds_partitioned) AS account_id__ds_partitioned__week + , DATE_TRUNC('month', bridge_table_src_10013.ds_partitioned) AS account_id__ds_partitioned__month + , DATE_TRUNC('quarter', bridge_table_src_10013.ds_partitioned) AS account_id__ds_partitioned__quarter + , DATE_TRUNC('year', bridge_table_src_10013.ds_partitioned) AS account_id__ds_partitioned__year + , EXTRACT(year FROM bridge_table_src_10013.ds_partitioned) AS account_id__ds_partitioned__extract_year + , EXTRACT(quarter FROM bridge_table_src_10013.ds_partitioned) AS account_id__ds_partitioned__extract_quarter + , EXTRACT(month FROM bridge_table_src_10013.ds_partitioned) AS account_id__ds_partitioned__extract_month + , EXTRACT(day FROM bridge_table_src_10013.ds_partitioned) AS account_id__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bridge_table_src_10013.ds_partitioned) AS account_id__ds_partitioned__extract_dow + , EXTRACT(doy FROM bridge_table_src_10013.ds_partitioned) AS account_id__ds_partitioned__extract_doy + , bridge_table_src_10013.extra_dim AS bridge_account__extra_dim + , DATE_TRUNC('day', bridge_table_src_10013.ds_partitioned) AS bridge_account__ds_partitioned__day + , DATE_TRUNC('week', bridge_table_src_10013.ds_partitioned) AS bridge_account__ds_partitioned__week + , DATE_TRUNC('month', bridge_table_src_10013.ds_partitioned) AS bridge_account__ds_partitioned__month + , DATE_TRUNC('quarter', bridge_table_src_10013.ds_partitioned) AS bridge_account__ds_partitioned__quarter + , DATE_TRUNC('year', bridge_table_src_10013.ds_partitioned) AS bridge_account__ds_partitioned__year + , EXTRACT(year FROM bridge_table_src_10013.ds_partitioned) AS bridge_account__ds_partitioned__extract_year + , EXTRACT(quarter FROM bridge_table_src_10013.ds_partitioned) AS bridge_account__ds_partitioned__extract_quarter + , EXTRACT(month FROM bridge_table_src_10013.ds_partitioned) AS bridge_account__ds_partitioned__extract_month + , EXTRACT(day FROM bridge_table_src_10013.ds_partitioned) AS bridge_account__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bridge_table_src_10013.ds_partitioned) AS bridge_account__ds_partitioned__extract_dow + , EXTRACT(doy FROM bridge_table_src_10013.ds_partitioned) AS bridge_account__ds_partitioned__extract_doy + , bridge_table_src_10013.account_id + , bridge_table_src_10013.customer_id + , bridge_table_src_10013.customer_id AS account_id__customer_id + , bridge_table_src_10013.account_id AS bridge_account__account_id + , bridge_table_src_10013.customer_id AS bridge_account__customer_id + FROM ***************************.bridge_table bridge_table_src_10013 + ) subq_3 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['customer_name', + -- 'customer_atomic_weight', + -- 'customer_id__customer_name', + -- 'customer_id__customer_atomic_weight', + -- 'ds_partitioned__day', + -- 'ds_partitioned__week', + -- 'ds_partitioned__month', + -- 'ds_partitioned__quarter', + -- 'ds_partitioned__year', + -- 'ds_partitioned__extract_year', + -- 'ds_partitioned__extract_quarter', + -- 'ds_partitioned__extract_month', + -- 'ds_partitioned__extract_day', + -- 'ds_partitioned__extract_dow', + -- 'ds_partitioned__extract_doy', + -- 'customer_id__ds_partitioned__day', + -- 'customer_id__ds_partitioned__week', + -- 'customer_id__ds_partitioned__month', + -- 'customer_id__ds_partitioned__quarter', + -- 'customer_id__ds_partitioned__year', + -- 'customer_id__ds_partitioned__extract_year', + -- 'customer_id__ds_partitioned__extract_quarter', + -- 'customer_id__ds_partitioned__extract_month', + -- 'customer_id__ds_partitioned__extract_day', + -- 'customer_id__ds_partitioned__extract_dow', + -- 'customer_id__ds_partitioned__extract_doy', + -- 'customer_id'] + SELECT + subq_4.ds_partitioned__day + , subq_4.ds_partitioned__week + , subq_4.ds_partitioned__month + , subq_4.ds_partitioned__quarter + , subq_4.ds_partitioned__year + , subq_4.ds_partitioned__extract_year + , subq_4.ds_partitioned__extract_quarter + , subq_4.ds_partitioned__extract_month + , subq_4.ds_partitioned__extract_day + , subq_4.ds_partitioned__extract_dow + , subq_4.ds_partitioned__extract_doy + , subq_4.customer_id__ds_partitioned__day + , subq_4.customer_id__ds_partitioned__week + , subq_4.customer_id__ds_partitioned__month + , subq_4.customer_id__ds_partitioned__quarter + , subq_4.customer_id__ds_partitioned__year + , subq_4.customer_id__ds_partitioned__extract_year + , subq_4.customer_id__ds_partitioned__extract_quarter + , subq_4.customer_id__ds_partitioned__extract_month + , subq_4.customer_id__ds_partitioned__extract_day + , subq_4.customer_id__ds_partitioned__extract_dow + , subq_4.customer_id__ds_partitioned__extract_doy + , subq_4.customer_id + , subq_4.customer_name + , subq_4.customer_atomic_weight + , subq_4.customer_id__customer_name + , subq_4.customer_id__customer_atomic_weight + FROM ( + -- Read Elements From Semantic Model 'customer_table' + SELECT + customer_table_src_10015.customer_name + , customer_table_src_10015.customer_atomic_weight + , DATE_TRUNC('day', customer_table_src_10015.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', customer_table_src_10015.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', customer_table_src_10015.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', customer_table_src_10015.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', customer_table_src_10015.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM customer_table_src_10015.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM customer_table_src_10015.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM customer_table_src_10015.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM customer_table_src_10015.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM customer_table_src_10015.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM customer_table_src_10015.ds_partitioned) AS ds_partitioned__extract_doy + , customer_table_src_10015.customer_name AS customer_id__customer_name + , customer_table_src_10015.customer_atomic_weight AS customer_id__customer_atomic_weight + , DATE_TRUNC('day', customer_table_src_10015.ds_partitioned) AS customer_id__ds_partitioned__day + , DATE_TRUNC('week', customer_table_src_10015.ds_partitioned) AS customer_id__ds_partitioned__week + , DATE_TRUNC('month', customer_table_src_10015.ds_partitioned) AS customer_id__ds_partitioned__month + , DATE_TRUNC('quarter', customer_table_src_10015.ds_partitioned) AS customer_id__ds_partitioned__quarter + , DATE_TRUNC('year', customer_table_src_10015.ds_partitioned) AS customer_id__ds_partitioned__year + , EXTRACT(year FROM customer_table_src_10015.ds_partitioned) AS customer_id__ds_partitioned__extract_year + , EXTRACT(quarter FROM customer_table_src_10015.ds_partitioned) AS customer_id__ds_partitioned__extract_quarter + , EXTRACT(month FROM customer_table_src_10015.ds_partitioned) AS customer_id__ds_partitioned__extract_month + , EXTRACT(day FROM customer_table_src_10015.ds_partitioned) AS customer_id__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM customer_table_src_10015.ds_partitioned) AS customer_id__ds_partitioned__extract_dow + , EXTRACT(doy FROM customer_table_src_10015.ds_partitioned) AS customer_id__ds_partitioned__extract_doy + , customer_table_src_10015.customer_id + FROM ***************************.customer_table customer_table_src_10015 + ) subq_4 + ) subq_5 + ON + ( + subq_3.customer_id = subq_5.customer_id + ) AND ( + subq_3.ds_partitioned__day = subq_5.ds_partitioned__day + ) + ) subq_6 + ) subq_7 + ON + ( + subq_2.account_id = subq_7.account_id + ) AND ( + subq_2.ds_partitioned__day = subq_7.ds_partitioned__day + ) + ) subq_8 + ) subq_9 + GROUP BY + subq_9.account_id__customer_id__customer_name +) subq_10 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multihop_node__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multihop_node__plan0_optimized.sql new file mode 100644 index 0000000000..65d688b745 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multihop_node__plan0_optimized.sql @@ -0,0 +1,35 @@ +-- Join Standard Outputs +-- Pass Only Elements: +-- ['txn_count', 'account_id__customer_id__customer_name'] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + subq_18.customer_id__customer_name AS account_id__customer_id__customer_name + , SUM(account_month_txns_src_10012.txn_count) AS txn_count +FROM ***************************.account_month_txns account_month_txns_src_10012 +LEFT OUTER JOIN ( + -- Join Standard Outputs + -- Pass Only Elements: + -- ['customer_id__customer_name', 'ds_partitioned__day', 'account_id'] + SELECT + DATE_TRUNC('day', bridge_table_src_10013.ds_partitioned) AS ds_partitioned__day + , bridge_table_src_10013.account_id AS account_id + , customer_table_src_10015.customer_name AS customer_id__customer_name + FROM ***************************.bridge_table bridge_table_src_10013 + LEFT OUTER JOIN + ***************************.customer_table customer_table_src_10015 + ON + ( + bridge_table_src_10013.customer_id = customer_table_src_10015.customer_id + ) AND ( + DATE_TRUNC('day', bridge_table_src_10013.ds_partitioned) = DATE_TRUNC('day', customer_table_src_10015.ds_partitioned) + ) +) subq_18 +ON + ( + account_month_txns_src_10012.account_id = subq_18.account_id + ) AND ( + DATE_TRUNC('day', account_month_txns_src_10012.ds_partitioned) = subq_18.ds_partitioned__day + ) +GROUP BY + subq_18.customer_id__customer_name diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multiple_metrics_no_dimensions__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multiple_metrics_no_dimensions__plan0.sql new file mode 100644 index 0000000000..657579fe50 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multiple_metrics_no_dimensions__plan0.sql @@ -0,0 +1,538 @@ +-- Combine Aggregated Outputs +SELECT + MAX(subq_5.bookings) AS bookings + , MAX(subq_11.listings) AS listings +FROM ( + -- Compute Metrics via Expressions + SELECT + subq_4.bookings + FROM ( + -- Aggregate Measures + SELECT + SUM(subq_3.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings'] + SELECT + subq_2.bookings + FROM ( + -- Constrain Time Range to [2020-01-01T00:00:00, 2020-01-01T00:00:00] + SELECT + subq_1.ds__day + , subq_1.ds__week + , subq_1.ds__month + , subq_1.ds__quarter + , subq_1.ds__year + , subq_1.ds__extract_year + , subq_1.ds__extract_quarter + , subq_1.ds__extract_month + , subq_1.ds__extract_day + , subq_1.ds__extract_dow + , subq_1.ds__extract_doy + , subq_1.ds_partitioned__day + , subq_1.ds_partitioned__week + , subq_1.ds_partitioned__month + , subq_1.ds_partitioned__quarter + , subq_1.ds_partitioned__year + , subq_1.ds_partitioned__extract_year + , subq_1.ds_partitioned__extract_quarter + , subq_1.ds_partitioned__extract_month + , subq_1.ds_partitioned__extract_day + , subq_1.ds_partitioned__extract_dow + , subq_1.ds_partitioned__extract_doy + , subq_1.paid_at__day + , subq_1.paid_at__week + , subq_1.paid_at__month + , subq_1.paid_at__quarter + , subq_1.paid_at__year + , subq_1.paid_at__extract_year + , subq_1.paid_at__extract_quarter + , subq_1.paid_at__extract_month + , subq_1.paid_at__extract_day + , subq_1.paid_at__extract_dow + , subq_1.paid_at__extract_doy + , subq_1.booking__ds__day + , subq_1.booking__ds__week + , subq_1.booking__ds__month + , subq_1.booking__ds__quarter + , subq_1.booking__ds__year + , subq_1.booking__ds__extract_year + , subq_1.booking__ds__extract_quarter + , subq_1.booking__ds__extract_month + , subq_1.booking__ds__extract_day + , subq_1.booking__ds__extract_dow + , subq_1.booking__ds__extract_doy + , subq_1.booking__ds_partitioned__day + , subq_1.booking__ds_partitioned__week + , subq_1.booking__ds_partitioned__month + , subq_1.booking__ds_partitioned__quarter + , subq_1.booking__ds_partitioned__year + , subq_1.booking__ds_partitioned__extract_year + , subq_1.booking__ds_partitioned__extract_quarter + , subq_1.booking__ds_partitioned__extract_month + , subq_1.booking__ds_partitioned__extract_day + , subq_1.booking__ds_partitioned__extract_dow + , subq_1.booking__ds_partitioned__extract_doy + , subq_1.booking__paid_at__day + , subq_1.booking__paid_at__week + , subq_1.booking__paid_at__month + , subq_1.booking__paid_at__quarter + , subq_1.booking__paid_at__year + , subq_1.booking__paid_at__extract_year + , subq_1.booking__paid_at__extract_quarter + , subq_1.booking__paid_at__extract_month + , subq_1.booking__paid_at__extract_day + , subq_1.booking__paid_at__extract_dow + , subq_1.booking__paid_at__extract_doy + , subq_1.metric_time__day + , subq_1.metric_time__week + , subq_1.metric_time__month + , subq_1.metric_time__quarter + , subq_1.metric_time__year + , subq_1.metric_time__extract_year + , subq_1.metric_time__extract_quarter + , subq_1.metric_time__extract_month + , subq_1.metric_time__extract_day + , subq_1.metric_time__extract_dow + , subq_1.metric_time__extract_doy + , subq_1.listing + , subq_1.guest + , subq_1.host + , subq_1.booking__listing + , subq_1.booking__guest + , subq_1.booking__host + , subq_1.is_instant + , subq_1.booking__is_instant + , subq_1.bookings + , subq_1.instant_bookings + , subq_1.booking_value + , subq_1.max_booking_value + , subq_1.min_booking_value + , subq_1.bookers + , subq_1.average_booking_value + , subq_1.referred_bookings + , subq_1.median_booking_value + , subq_1.booking_value_p99 + , subq_1.discrete_booking_value_p99 + , subq_1.approximate_continuous_booking_value_p99 + , subq_1.approximate_discrete_booking_value_p99 + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + WHERE subq_1.metric_time__day BETWEEN timestamp '2020-01-01' AND timestamp '2020-01-01' + ) subq_2 + ) subq_3 + ) subq_4 +) subq_5 +CROSS JOIN ( + -- Compute Metrics via Expressions + SELECT + subq_10.listings + FROM ( + -- Aggregate Measures + SELECT + SUM(subq_9.listings) AS listings + FROM ( + -- Pass Only Elements: + -- ['listings'] + SELECT + subq_8.listings + FROM ( + -- Constrain Time Range to [2020-01-01T00:00:00, 2020-01-01T00:00:00] + SELECT + subq_7.ds__day + , subq_7.ds__week + , subq_7.ds__month + , subq_7.ds__quarter + , subq_7.ds__year + , subq_7.ds__extract_year + , subq_7.ds__extract_quarter + , subq_7.ds__extract_month + , subq_7.ds__extract_day + , subq_7.ds__extract_dow + , subq_7.ds__extract_doy + , subq_7.created_at__day + , subq_7.created_at__week + , subq_7.created_at__month + , subq_7.created_at__quarter + , subq_7.created_at__year + , subq_7.created_at__extract_year + , subq_7.created_at__extract_quarter + , subq_7.created_at__extract_month + , subq_7.created_at__extract_day + , subq_7.created_at__extract_dow + , subq_7.created_at__extract_doy + , subq_7.listing__ds__day + , subq_7.listing__ds__week + , subq_7.listing__ds__month + , subq_7.listing__ds__quarter + , subq_7.listing__ds__year + , subq_7.listing__ds__extract_year + , subq_7.listing__ds__extract_quarter + , subq_7.listing__ds__extract_month + , subq_7.listing__ds__extract_day + , subq_7.listing__ds__extract_dow + , subq_7.listing__ds__extract_doy + , subq_7.listing__created_at__day + , subq_7.listing__created_at__week + , subq_7.listing__created_at__month + , subq_7.listing__created_at__quarter + , subq_7.listing__created_at__year + , subq_7.listing__created_at__extract_year + , subq_7.listing__created_at__extract_quarter + , subq_7.listing__created_at__extract_month + , subq_7.listing__created_at__extract_day + , subq_7.listing__created_at__extract_dow + , subq_7.listing__created_at__extract_doy + , subq_7.metric_time__day + , subq_7.metric_time__week + , subq_7.metric_time__month + , subq_7.metric_time__quarter + , subq_7.metric_time__year + , subq_7.metric_time__extract_year + , subq_7.metric_time__extract_quarter + , subq_7.metric_time__extract_month + , subq_7.metric_time__extract_day + , subq_7.metric_time__extract_dow + , subq_7.metric_time__extract_doy + , subq_7.listing + , subq_7.user + , subq_7.listing__user + , subq_7.country_latest + , subq_7.is_lux_latest + , subq_7.capacity_latest + , subq_7.listing__country_latest + , subq_7.listing__is_lux_latest + , subq_7.listing__capacity_latest + , subq_7.listings + , subq_7.largest_listing + , subq_7.smallest_listing + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_6.ds__day + , subq_6.ds__week + , subq_6.ds__month + , subq_6.ds__quarter + , subq_6.ds__year + , subq_6.ds__extract_year + , subq_6.ds__extract_quarter + , subq_6.ds__extract_month + , subq_6.ds__extract_day + , subq_6.ds__extract_dow + , subq_6.ds__extract_doy + , subq_6.created_at__day + , subq_6.created_at__week + , subq_6.created_at__month + , subq_6.created_at__quarter + , subq_6.created_at__year + , subq_6.created_at__extract_year + , subq_6.created_at__extract_quarter + , subq_6.created_at__extract_month + , subq_6.created_at__extract_day + , subq_6.created_at__extract_dow + , subq_6.created_at__extract_doy + , subq_6.listing__ds__day + , subq_6.listing__ds__week + , subq_6.listing__ds__month + , subq_6.listing__ds__quarter + , subq_6.listing__ds__year + , subq_6.listing__ds__extract_year + , subq_6.listing__ds__extract_quarter + , subq_6.listing__ds__extract_month + , subq_6.listing__ds__extract_day + , subq_6.listing__ds__extract_dow + , subq_6.listing__ds__extract_doy + , subq_6.listing__created_at__day + , subq_6.listing__created_at__week + , subq_6.listing__created_at__month + , subq_6.listing__created_at__quarter + , subq_6.listing__created_at__year + , subq_6.listing__created_at__extract_year + , subq_6.listing__created_at__extract_quarter + , subq_6.listing__created_at__extract_month + , subq_6.listing__created_at__extract_day + , subq_6.listing__created_at__extract_dow + , subq_6.listing__created_at__extract_doy + , subq_6.ds__day AS metric_time__day + , subq_6.ds__week AS metric_time__week + , subq_6.ds__month AS metric_time__month + , subq_6.ds__quarter AS metric_time__quarter + , subq_6.ds__year AS metric_time__year + , subq_6.ds__extract_year AS metric_time__extract_year + , subq_6.ds__extract_quarter AS metric_time__extract_quarter + , subq_6.ds__extract_month AS metric_time__extract_month + , subq_6.ds__extract_day AS metric_time__extract_day + , subq_6.ds__extract_dow AS metric_time__extract_dow + , subq_6.ds__extract_doy AS metric_time__extract_doy + , subq_6.listing + , subq_6.user + , subq_6.listing__user + , subq_6.country_latest + , subq_6.is_lux_latest + , subq_6.capacity_latest + , subq_6.listing__country_latest + , subq_6.listing__is_lux_latest + , subq_6.listing__capacity_latest + , subq_6.listings + , subq_6.largest_listing + , subq_6.smallest_listing + FROM ( + -- Read Elements From Semantic Model 'listings_latest' + SELECT + 1 AS listings + , listings_latest_src_10005.capacity AS largest_listing + , listings_latest_src_10005.capacity AS smallest_listing + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS created_at__extract_doy + , listings_latest_src_10005.country AS country_latest + , listings_latest_src_10005.is_lux AS is_lux_latest + , listings_latest_src_10005.capacity AS capacity_latest + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__ds__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__ds__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__ds__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__ds__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__ds__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__ds__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__ds__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__ds__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__ds__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__ds__extract_doy + , DATE_TRUNC('day', listings_latest_src_10005.created_at) AS listing__created_at__day + , DATE_TRUNC('week', listings_latest_src_10005.created_at) AS listing__created_at__week + , DATE_TRUNC('month', listings_latest_src_10005.created_at) AS listing__created_at__month + , DATE_TRUNC('quarter', listings_latest_src_10005.created_at) AS listing__created_at__quarter + , DATE_TRUNC('year', listings_latest_src_10005.created_at) AS listing__created_at__year + , EXTRACT(year FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_year + , EXTRACT(quarter FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_quarter + , EXTRACT(month FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_month + , EXTRACT(day FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_dow + , EXTRACT(doy FROM listings_latest_src_10005.created_at) AS listing__created_at__extract_doy + , listings_latest_src_10005.country AS listing__country_latest + , listings_latest_src_10005.is_lux AS listing__is_lux_latest + , listings_latest_src_10005.capacity AS listing__capacity_latest + , listings_latest_src_10005.listing_id AS listing + , listings_latest_src_10005.user_id AS user + , listings_latest_src_10005.user_id AS listing__user + FROM ***************************.dim_listings_latest listings_latest_src_10005 + ) subq_6 + ) subq_7 + WHERE subq_7.metric_time__day BETWEEN timestamp '2020-01-01' AND timestamp '2020-01-01' + ) subq_8 + ) subq_9 + ) subq_10 +) subq_11 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multiple_metrics_no_dimensions__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multiple_metrics_no_dimensions__plan0_optimized.sql new file mode 100644 index 0000000000..3c0ea8fcbb --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_multiple_metrics_no_dimensions__plan0_optimized.sql @@ -0,0 +1,30 @@ +-- Combine Aggregated Outputs +SELECT + MAX(subq_17.bookings) AS bookings + , MAX(subq_23.listings) AS listings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Constrain Time Range to [2020-01-01T00:00:00, 2020-01-01T00:00:00] + -- Pass Only Elements: + -- ['bookings'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + SUM(1) AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + WHERE DATE_TRUNC('day', ds) BETWEEN timestamp '2020-01-01' AND timestamp '2020-01-01' +) subq_17 +CROSS JOIN ( + -- Read Elements From Semantic Model 'listings_latest' + -- Metric Time Dimension 'ds' + -- Constrain Time Range to [2020-01-01T00:00:00, 2020-01-01T00:00:00] + -- Pass Only Elements: + -- ['listings'] + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + SUM(1) AS listings + FROM ***************************.dim_listings_latest listings_latest_src_10005 + WHERE DATE_TRUNC('day', created_at) BETWEEN timestamp '2020-01-01' AND timestamp '2020-01-01' +) subq_23 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_partitioned_join__plan0.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_partitioned_join__plan0.sql new file mode 100644 index 0000000000..cf515d8b83 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_partitioned_join__plan0.sql @@ -0,0 +1,244 @@ +-- Compute Metrics via Expressions +SELECT + subq_7.user__home_state + , subq_7.identity_verifications +FROM ( + -- Aggregate Measures + SELECT + subq_6.user__home_state + , SUM(subq_6.identity_verifications) AS identity_verifications + FROM ( + -- Pass Only Elements: + -- ['identity_verifications', 'user__home_state'] + SELECT + subq_5.user__home_state + , subq_5.identity_verifications + FROM ( + -- Join Standard Outputs + SELECT + subq_2.ds_partitioned__day AS ds_partitioned__day + , subq_4.ds_partitioned__day AS user__ds_partitioned__day + , subq_2.user AS user + , subq_4.home_state AS user__home_state + , subq_2.identity_verifications AS identity_verifications + FROM ( + -- Pass Only Elements: + -- ['identity_verifications', 'ds_partitioned__day', 'user'] + SELECT + subq_1.ds_partitioned__day + , subq_1.user + , subq_1.identity_verifications + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.verification__ds__day + , subq_0.verification__ds__week + , subq_0.verification__ds__month + , subq_0.verification__ds__quarter + , subq_0.verification__ds__year + , subq_0.verification__ds__extract_year + , subq_0.verification__ds__extract_quarter + , subq_0.verification__ds__extract_month + , subq_0.verification__ds__extract_day + , subq_0.verification__ds__extract_dow + , subq_0.verification__ds__extract_doy + , subq_0.verification__ds_partitioned__day + , subq_0.verification__ds_partitioned__week + , subq_0.verification__ds_partitioned__month + , subq_0.verification__ds_partitioned__quarter + , subq_0.verification__ds_partitioned__year + , subq_0.verification__ds_partitioned__extract_year + , subq_0.verification__ds_partitioned__extract_quarter + , subq_0.verification__ds_partitioned__extract_month + , subq_0.verification__ds_partitioned__extract_day + , subq_0.verification__ds_partitioned__extract_dow + , subq_0.verification__ds_partitioned__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.verification + , subq_0.user + , subq_0.verification__user + , subq_0.verification_type + , subq_0.verification__verification_type + , subq_0.identity_verifications + FROM ( + -- Read Elements From Semantic Model 'id_verifications' + SELECT + 1 AS identity_verifications + , DATE_TRUNC('day', id_verifications_src_10004.ds) AS ds__day + , DATE_TRUNC('week', id_verifications_src_10004.ds) AS ds__week + , DATE_TRUNC('month', id_verifications_src_10004.ds) AS ds__month + , DATE_TRUNC('quarter', id_verifications_src_10004.ds) AS ds__quarter + , DATE_TRUNC('year', id_verifications_src_10004.ds) AS ds__year + , EXTRACT(year FROM id_verifications_src_10004.ds) AS ds__extract_year + , EXTRACT(quarter FROM id_verifications_src_10004.ds) AS ds__extract_quarter + , EXTRACT(month FROM id_verifications_src_10004.ds) AS ds__extract_month + , EXTRACT(day FROM id_verifications_src_10004.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM id_verifications_src_10004.ds) AS ds__extract_dow + , EXTRACT(doy FROM id_verifications_src_10004.ds) AS ds__extract_doy + , DATE_TRUNC('day', id_verifications_src_10004.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', id_verifications_src_10004.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', id_verifications_src_10004.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', id_verifications_src_10004.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', id_verifications_src_10004.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM id_verifications_src_10004.ds_partitioned) AS ds_partitioned__extract_doy + , id_verifications_src_10004.verification_type + , DATE_TRUNC('day', id_verifications_src_10004.ds) AS verification__ds__day + , DATE_TRUNC('week', id_verifications_src_10004.ds) AS verification__ds__week + , DATE_TRUNC('month', id_verifications_src_10004.ds) AS verification__ds__month + , DATE_TRUNC('quarter', id_verifications_src_10004.ds) AS verification__ds__quarter + , DATE_TRUNC('year', id_verifications_src_10004.ds) AS verification__ds__year + , EXTRACT(year FROM id_verifications_src_10004.ds) AS verification__ds__extract_year + , EXTRACT(quarter FROM id_verifications_src_10004.ds) AS verification__ds__extract_quarter + , EXTRACT(month FROM id_verifications_src_10004.ds) AS verification__ds__extract_month + , EXTRACT(day FROM id_verifications_src_10004.ds) AS verification__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM id_verifications_src_10004.ds) AS verification__ds__extract_dow + , EXTRACT(doy FROM id_verifications_src_10004.ds) AS verification__ds__extract_doy + , DATE_TRUNC('day', id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__day + , DATE_TRUNC('week', id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__week + , DATE_TRUNC('month', id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__month + , DATE_TRUNC('quarter', id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__quarter + , DATE_TRUNC('year', id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__year + , EXTRACT(year FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_year + , EXTRACT(quarter FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_quarter + , EXTRACT(month FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_month + , EXTRACT(day FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_dow + , EXTRACT(doy FROM id_verifications_src_10004.ds_partitioned) AS verification__ds_partitioned__extract_doy + , id_verifications_src_10004.verification_type AS verification__verification_type + , id_verifications_src_10004.verification_id AS verification + , id_verifications_src_10004.user_id AS user + , id_verifications_src_10004.user_id AS verification__user + FROM ***************************.fct_id_verifications id_verifications_src_10004 + ) subq_0 + ) subq_1 + ) subq_2 + LEFT OUTER JOIN ( + -- Pass Only Elements: + -- ['home_state', 'ds_partitioned__day', 'user'] + SELECT + subq_3.ds_partitioned__day + , subq_3.user + , subq_3.home_state + FROM ( + -- Read Elements From Semantic Model 'users_ds_source' + SELECT + DATE_TRUNC('day', users_ds_source_src_10008.ds) AS ds__day + , DATE_TRUNC('week', users_ds_source_src_10008.ds) AS ds__week + , DATE_TRUNC('month', users_ds_source_src_10008.ds) AS ds__month + , DATE_TRUNC('quarter', users_ds_source_src_10008.ds) AS ds__quarter + , DATE_TRUNC('year', users_ds_source_src_10008.ds) AS ds__year + , EXTRACT(year FROM users_ds_source_src_10008.ds) AS ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_10008.ds) AS ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_10008.ds) AS ds__extract_month + , EXTRACT(day FROM users_ds_source_src_10008.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_10008.ds) AS ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_10008.ds) AS ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_10008.created_at) AS created_at__day + , DATE_TRUNC('week', users_ds_source_src_10008.created_at) AS created_at__week + , DATE_TRUNC('month', users_ds_source_src_10008.created_at) AS created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_10008.created_at) AS created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_10008.created_at) AS created_at__year + , EXTRACT(year FROM users_ds_source_src_10008.created_at) AS created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_10008.created_at) AS created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_10008.created_at) AS created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_10008.created_at) AS created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_10008.created_at) AS created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_10008.created_at) AS created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_10008.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_10008.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_10008.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_10008.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_10008.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_10008.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_10008.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_10008.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_10008.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_10008.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_10008.ds_partitioned) AS ds_partitioned__extract_doy + , users_ds_source_src_10008.home_state + , DATE_TRUNC('day', users_ds_source_src_10008.ds) AS user__ds__day + , DATE_TRUNC('week', users_ds_source_src_10008.ds) AS user__ds__week + , DATE_TRUNC('month', users_ds_source_src_10008.ds) AS user__ds__month + , DATE_TRUNC('quarter', users_ds_source_src_10008.ds) AS user__ds__quarter + , DATE_TRUNC('year', users_ds_source_src_10008.ds) AS user__ds__year + , EXTRACT(year FROM users_ds_source_src_10008.ds) AS user__ds__extract_year + , EXTRACT(quarter FROM users_ds_source_src_10008.ds) AS user__ds__extract_quarter + , EXTRACT(month FROM users_ds_source_src_10008.ds) AS user__ds__extract_month + , EXTRACT(day FROM users_ds_source_src_10008.ds) AS user__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_10008.ds) AS user__ds__extract_dow + , EXTRACT(doy FROM users_ds_source_src_10008.ds) AS user__ds__extract_doy + , DATE_TRUNC('day', users_ds_source_src_10008.created_at) AS user__created_at__day + , DATE_TRUNC('week', users_ds_source_src_10008.created_at) AS user__created_at__week + , DATE_TRUNC('month', users_ds_source_src_10008.created_at) AS user__created_at__month + , DATE_TRUNC('quarter', users_ds_source_src_10008.created_at) AS user__created_at__quarter + , DATE_TRUNC('year', users_ds_source_src_10008.created_at) AS user__created_at__year + , EXTRACT(year FROM users_ds_source_src_10008.created_at) AS user__created_at__extract_year + , EXTRACT(quarter FROM users_ds_source_src_10008.created_at) AS user__created_at__extract_quarter + , EXTRACT(month FROM users_ds_source_src_10008.created_at) AS user__created_at__extract_month + , EXTRACT(day FROM users_ds_source_src_10008.created_at) AS user__created_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_10008.created_at) AS user__created_at__extract_dow + , EXTRACT(doy FROM users_ds_source_src_10008.created_at) AS user__created_at__extract_doy + , DATE_TRUNC('day', users_ds_source_src_10008.ds_partitioned) AS user__ds_partitioned__day + , DATE_TRUNC('week', users_ds_source_src_10008.ds_partitioned) AS user__ds_partitioned__week + , DATE_TRUNC('month', users_ds_source_src_10008.ds_partitioned) AS user__ds_partitioned__month + , DATE_TRUNC('quarter', users_ds_source_src_10008.ds_partitioned) AS user__ds_partitioned__quarter + , DATE_TRUNC('year', users_ds_source_src_10008.ds_partitioned) AS user__ds_partitioned__year + , EXTRACT(year FROM users_ds_source_src_10008.ds_partitioned) AS user__ds_partitioned__extract_year + , EXTRACT(quarter FROM users_ds_source_src_10008.ds_partitioned) AS user__ds_partitioned__extract_quarter + , EXTRACT(month FROM users_ds_source_src_10008.ds_partitioned) AS user__ds_partitioned__extract_month + , EXTRACT(day FROM users_ds_source_src_10008.ds_partitioned) AS user__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM users_ds_source_src_10008.ds_partitioned) AS user__ds_partitioned__extract_dow + , EXTRACT(doy FROM users_ds_source_src_10008.ds_partitioned) AS user__ds_partitioned__extract_doy + , users_ds_source_src_10008.home_state AS user__home_state + , users_ds_source_src_10008.user_id AS user + FROM ***************************.dim_users users_ds_source_src_10008 + ) subq_3 + ) subq_4 + ON + ( + subq_2.user = subq_4.user + ) AND ( + subq_2.ds_partitioned__day = subq_4.ds_partitioned__day + ) + ) subq_5 + ) subq_6 + GROUP BY + subq_6.user__home_state +) subq_7 diff --git a/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_partitioned_join__plan0_optimized.sql b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_partitioned_join__plan0_optimized.sql new file mode 100644 index 0000000000..b52d743037 --- /dev/null +++ b/metricflow/test/snapshots/test_query_rendering.py/SqlQueryPlan/Trino/test_partitioned_join__plan0_optimized.sql @@ -0,0 +1,29 @@ +-- Join Standard Outputs +-- Pass Only Elements: +-- ['identity_verifications', 'user__home_state'] +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + users_ds_source_src_10008.home_state AS user__home_state + , SUM(subq_10.identity_verifications) AS identity_verifications +FROM ( + -- Read Elements From Semantic Model 'id_verifications' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['identity_verifications', 'ds_partitioned__day', 'user'] + SELECT + DATE_TRUNC('day', ds_partitioned) AS ds_partitioned__day + , user_id AS user + , 1 AS identity_verifications + FROM ***************************.fct_id_verifications id_verifications_src_10004 +) subq_10 +LEFT OUTER JOIN + ***************************.dim_users users_ds_source_src_10008 +ON + ( + subq_10.user = users_ds_source_src_10008.user_id + ) AND ( + subq_10.ds_partitioned__day = DATE_TRUNC('day', users_ds_source_src_10008.ds_partitioned) + ) +GROUP BY + users_ds_source_src_10008.home_state diff --git a/metricflow/test/snapshots/test_rendered_query.py/MetricFlowExplainResult/Trino/test_render_query__query0.sql b/metricflow/test/snapshots/test_rendered_query.py/MetricFlowExplainResult/Trino/test_render_query__query0.sql new file mode 100644 index 0000000000..a3bb3c8e79 --- /dev/null +++ b/metricflow/test/snapshots/test_rendered_query.py/MetricFlowExplainResult/Trino/test_render_query__query0.sql @@ -0,0 +1,17 @@ +-- Aggregate Measures +-- Compute Metrics via Expressions +SELECT + metric_time__day + , SUM(bookings) AS bookings +FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_1 +) subq_2 +GROUP BY + metric_time__day diff --git a/metricflow/test/snapshots/test_rendered_query.py/MetricFlowExplainResult/Trino/test_render_write_to_table_query__query0.sql b/metricflow/test/snapshots/test_rendered_query.py/MetricFlowExplainResult/Trino/test_render_write_to_table_query__query0.sql new file mode 100644 index 0000000000..584414321a --- /dev/null +++ b/metricflow/test/snapshots/test_rendered_query.py/MetricFlowExplainResult/Trino/test_render_write_to_table_query__query0.sql @@ -0,0 +1,19 @@ +CREATE TABLE ***************************.test_table AS ( + -- Aggregate Measures + -- Compute Metrics via Expressions + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_1 + ) subq_2 + GROUP BY + metric_time__day +) diff --git a/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan0.sql b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan0.sql new file mode 100644 index 0000000000..94a467a61a --- /dev/null +++ b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan0.sql @@ -0,0 +1,4 @@ +-- test0 +SELECT + SUM(1) AS bookings +FROM demo.fct_bookings a diff --git a/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan1.sql b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan1.sql new file mode 100644 index 0000000000..4f2811f3ab --- /dev/null +++ b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan1.sql @@ -0,0 +1,6 @@ +-- test1 +SELECT + SUM(1) AS bookings + , b.country AS user__country + , c.country AS listing__country +FROM demo.fct_bookings a diff --git a/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan2.sql b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan2.sql new file mode 100644 index 0000000000..9084cacd9c --- /dev/null +++ b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan2.sql @@ -0,0 +1,10 @@ +-- test2 +SELECT + SUM(1) AS bookings + , b.country AS user__country + , c.country AS listing__country +FROM demo.fct_bookings a +LEFT OUTER JOIN + demo.dim_users b +ON + a.user_id = b.user_id diff --git a/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan3.sql b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan3.sql new file mode 100644 index 0000000000..e283f191ed --- /dev/null +++ b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan3.sql @@ -0,0 +1,14 @@ +-- test3 +SELECT + SUM(1) AS bookings + , b.country AS user__country + , c.country AS listing__country +FROM demo.fct_bookings a +LEFT OUTER JOIN + demo.dim_users b +ON + a.user_id = b.user_id +LEFT OUTER JOIN + demo.dim_listings c +ON + a.user_id = c.user_id diff --git a/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan4.sql b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan4.sql new file mode 100644 index 0000000000..50c2a20f46 --- /dev/null +++ b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan4.sql @@ -0,0 +1,16 @@ +-- test4 +SELECT + SUM(1) AS bookings + , b.country AS user__country + , c.country AS listing__country +FROM demo.fct_bookings a +LEFT OUTER JOIN + demo.dim_users b +ON + a.user_id = b.user_id +LEFT OUTER JOIN + demo.dim_listings c +ON + a.user_id = c.user_id +GROUP BY + b.country diff --git a/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan5.sql b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan5.sql new file mode 100644 index 0000000000..98affe9d30 --- /dev/null +++ b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_component_rendering__plan5.sql @@ -0,0 +1,17 @@ +-- test5 +SELECT + SUM(1) AS bookings + , b.country AS user__country + , c.country AS listing__country +FROM demo.fct_bookings a +LEFT OUTER JOIN + demo.dim_users b +ON + a.user_id = b.user_id +LEFT OUTER JOIN + demo.dim_listings c +ON + a.user_id = c.user_id +GROUP BY + b.country + , c.country diff --git a/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_render_limit__plan0.sql b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_render_limit__plan0.sql new file mode 100644 index 0000000000..5720a09db8 --- /dev/null +++ b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_render_limit__plan0.sql @@ -0,0 +1,5 @@ +-- test0 +SELECT + a.bookings +FROM demo.fct_bookings a +LIMIT 1 diff --git a/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_render_order_by__plan0.sql b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_render_order_by__plan0.sql new file mode 100644 index 0000000000..bef477c2b8 --- /dev/null +++ b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_render_order_by__plan0.sql @@ -0,0 +1,6 @@ +-- test0 +SELECT + a.booking_value + , a.bookings +FROM demo.fct_bookings a +ORDER BY a.booking_value, a.bookings DESC diff --git a/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_render_where__plan0.sql b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_render_where__plan0.sql new file mode 100644 index 0000000000..0f17ba24b2 --- /dev/null +++ b/metricflow/test/snapshots/test_sql_plan_render.py/SqlQueryPlan/Trino/test_render_where__plan0.sql @@ -0,0 +1,5 @@ +-- test0 +SELECT + a.booking_value +FROM demo.fct_bookings a +WHERE a.booking_value > 100 diff --git a/metricflow/test/snapshots/test_time_spine_join_rendering.py/SqlQueryPlan/Trino/test_simple_join_to_time_spine__plan0.sql b/metricflow/test/snapshots/test_time_spine_join_rendering.py/SqlQueryPlan/Trino/test_simple_join_to_time_spine__plan0.sql new file mode 100644 index 0000000000..250642f628 --- /dev/null +++ b/metricflow/test/snapshots/test_time_spine_join_rendering.py/SqlQueryPlan/Trino/test_simple_join_to_time_spine__plan0.sql @@ -0,0 +1,228 @@ +-- Compute Metrics via Expressions +SELECT + subq_6.metric_time__day + , subq_6.bookings AS bookings_join_to_time_spine +FROM ( + -- Join to Time Spine Dataset + SELECT + subq_4.metric_time__day AS metric_time__day + , subq_3.bookings AS bookings + FROM ( + -- Date Spine + SELECT + subq_5.ds AS metric_time__day + FROM ***************************.mf_time_spine subq_5 + ) subq_4 + LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_2.metric_time__day + , SUM(subq_2.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + subq_1.metric_time__day + , subq_1.bookings + FROM ( + -- Metric Time Dimension 'ds' + SELECT + subq_0.ds__day + , subq_0.ds__week + , subq_0.ds__month + , subq_0.ds__quarter + , subq_0.ds__year + , subq_0.ds__extract_year + , subq_0.ds__extract_quarter + , subq_0.ds__extract_month + , subq_0.ds__extract_day + , subq_0.ds__extract_dow + , subq_0.ds__extract_doy + , subq_0.ds_partitioned__day + , subq_0.ds_partitioned__week + , subq_0.ds_partitioned__month + , subq_0.ds_partitioned__quarter + , subq_0.ds_partitioned__year + , subq_0.ds_partitioned__extract_year + , subq_0.ds_partitioned__extract_quarter + , subq_0.ds_partitioned__extract_month + , subq_0.ds_partitioned__extract_day + , subq_0.ds_partitioned__extract_dow + , subq_0.ds_partitioned__extract_doy + , subq_0.paid_at__day + , subq_0.paid_at__week + , subq_0.paid_at__month + , subq_0.paid_at__quarter + , subq_0.paid_at__year + , subq_0.paid_at__extract_year + , subq_0.paid_at__extract_quarter + , subq_0.paid_at__extract_month + , subq_0.paid_at__extract_day + , subq_0.paid_at__extract_dow + , subq_0.paid_at__extract_doy + , subq_0.booking__ds__day + , subq_0.booking__ds__week + , subq_0.booking__ds__month + , subq_0.booking__ds__quarter + , subq_0.booking__ds__year + , subq_0.booking__ds__extract_year + , subq_0.booking__ds__extract_quarter + , subq_0.booking__ds__extract_month + , subq_0.booking__ds__extract_day + , subq_0.booking__ds__extract_dow + , subq_0.booking__ds__extract_doy + , subq_0.booking__ds_partitioned__day + , subq_0.booking__ds_partitioned__week + , subq_0.booking__ds_partitioned__month + , subq_0.booking__ds_partitioned__quarter + , subq_0.booking__ds_partitioned__year + , subq_0.booking__ds_partitioned__extract_year + , subq_0.booking__ds_partitioned__extract_quarter + , subq_0.booking__ds_partitioned__extract_month + , subq_0.booking__ds_partitioned__extract_day + , subq_0.booking__ds_partitioned__extract_dow + , subq_0.booking__ds_partitioned__extract_doy + , subq_0.booking__paid_at__day + , subq_0.booking__paid_at__week + , subq_0.booking__paid_at__month + , subq_0.booking__paid_at__quarter + , subq_0.booking__paid_at__year + , subq_0.booking__paid_at__extract_year + , subq_0.booking__paid_at__extract_quarter + , subq_0.booking__paid_at__extract_month + , subq_0.booking__paid_at__extract_day + , subq_0.booking__paid_at__extract_dow + , subq_0.booking__paid_at__extract_doy + , subq_0.ds__day AS metric_time__day + , subq_0.ds__week AS metric_time__week + , subq_0.ds__month AS metric_time__month + , subq_0.ds__quarter AS metric_time__quarter + , subq_0.ds__year AS metric_time__year + , subq_0.ds__extract_year AS metric_time__extract_year + , subq_0.ds__extract_quarter AS metric_time__extract_quarter + , subq_0.ds__extract_month AS metric_time__extract_month + , subq_0.ds__extract_day AS metric_time__extract_day + , subq_0.ds__extract_dow AS metric_time__extract_dow + , subq_0.ds__extract_doy AS metric_time__extract_doy + , subq_0.listing + , subq_0.guest + , subq_0.host + , subq_0.booking__listing + , subq_0.booking__guest + , subq_0.booking__host + , subq_0.is_instant + , subq_0.booking__is_instant + , subq_0.bookings + , subq_0.instant_bookings + , subq_0.booking_value + , subq_0.max_booking_value + , subq_0.min_booking_value + , subq_0.bookers + , subq_0.average_booking_value + , subq_0.referred_bookings + , subq_0.median_booking_value + , subq_0.booking_value_p99 + , subq_0.discrete_booking_value_p99 + , subq_0.approximate_continuous_booking_value_p99 + , subq_0.approximate_discrete_booking_value_p99 + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS paid_at__extract_doy + , bookings_source_src_10001.is_instant AS booking__is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS booking__ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS booking__ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS booking__ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS booking__ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS booking__ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS booking__ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS booking__ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS booking__ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS booking__ds__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds) AS booking__ds__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds) AS booking__ds__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__day + , DATE_TRUNC('week', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__week + , DATE_TRUNC('month', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__year + , EXTRACT(year FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.ds_partitioned) AS booking__ds_partitioned__extract_doy + , DATE_TRUNC('day', bookings_source_src_10001.paid_at) AS booking__paid_at__day + , DATE_TRUNC('week', bookings_source_src_10001.paid_at) AS booking__paid_at__week + , DATE_TRUNC('month', bookings_source_src_10001.paid_at) AS booking__paid_at__month + , DATE_TRUNC('quarter', bookings_source_src_10001.paid_at) AS booking__paid_at__quarter + , DATE_TRUNC('year', bookings_source_src_10001.paid_at) AS booking__paid_at__year + , EXTRACT(year FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_month + , EXTRACT(day FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_day + , EXTRACT(DAY_OF_WEEK FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + ) subq_2 + GROUP BY + subq_2.metric_time__day + ) subq_3 + ON + subq_4.metric_time__day = subq_3.metric_time__day +) subq_6 diff --git a/metricflow/test/snapshots/test_time_spine_join_rendering.py/SqlQueryPlan/Trino/test_simple_join_to_time_spine__plan0_optimized.sql b/metricflow/test/snapshots/test_time_spine_join_rendering.py/SqlQueryPlan/Trino/test_simple_join_to_time_spine__plan0_optimized.sql new file mode 100644 index 0000000000..cc3c93f375 --- /dev/null +++ b/metricflow/test/snapshots/test_time_spine_join_rendering.py/SqlQueryPlan/Trino/test_simple_join_to_time_spine__plan0_optimized.sql @@ -0,0 +1,26 @@ +-- Join to Time Spine Dataset +-- Compute Metrics via Expressions +SELECT + subq_12.ds AS metric_time__day + , subq_10.bookings AS bookings_join_to_time_spine +FROM ***************************.mf_time_spine subq_12 +LEFT OUTER JOIN ( + -- Aggregate Measures + SELECT + metric_time__day + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Metric Time Dimension 'ds' + -- Pass Only Elements: + -- ['bookings', 'metric_time__day'] + SELECT + DATE_TRUNC('day', ds) AS metric_time__day + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_9 + GROUP BY + metric_time__day +) subq_10 +ON + subq_12.ds = subq_10.metric_time__day diff --git a/pyproject.toml b/pyproject.toml index 9f77994289..7a36838646 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ requires-python = ">=3.8,<3.12" license = "BUSL-1.1" keywords = [] authors = [ - {name = "dbt Labs"} + {name = "dbt Labs"} ] classifiers = [ @@ -72,6 +72,9 @@ sql-client-packages = [ "SQLAlchemy~=1.4.42", "sqlalchemy2-stubs~=0.0.2a21", ] +trino-sql-client-packages = [ + "trino~=0.327.0", +] dbt-postgres = [ "dbt-postgres~=1.7.0", @@ -97,6 +100,10 @@ dbt-duckdb = [ "dbt-duckdb~=1.7.0", ] +dbt-trino = [ + "dbt-trino~=1.7.0", +] + [tool.hatch.build.targets.sdist] exclude = [ "/.github", @@ -118,13 +125,13 @@ features = [ ] [tool.hatch.envs.dev-env.env-vars] - MF_TEST_ADAPTER_TYPE="duckdb" - MF_SQL_ENGINE_URL="duckdb://" +MF_TEST_ADAPTER_TYPE="duckdb" +MF_SQL_ENGINE_URL="duckdb://" [tool.hatch.envs.postgres-env.env-vars] - MF_SQL_ENGINE_URL="postgresql://metricflow@localhost:5432/metricflow" - MF_SQL_ENGINE_PASSWORD="metricflowing" - MF_TEST_ADAPTER_TYPE="postgres" +MF_SQL_ENGINE_URL="postgresql://metricflow@localhost:5432/metricflow" +MF_SQL_ENGINE_PASSWORD="metricflowing" +MF_TEST_ADAPTER_TYPE="postgres" [tool.hatch.envs.postgres-env] description = "Dev environment for working with Postgres adapter" @@ -138,7 +145,7 @@ features = [ # configured independently of the hatch env construction [tool.hatch.envs.bigquery-env.env-vars] - MF_TEST_ADAPTER_TYPE="bigquery" +MF_TEST_ADAPTER_TYPE="bigquery" [tool.hatch.envs.bigquery-env] description = "Dev environment for working with the BigQuery adapter" @@ -149,7 +156,7 @@ features = [ ] [tool.hatch.envs.databricks-env.env-vars] - MF_TEST_ADAPTER_TYPE="databricks" +MF_TEST_ADAPTER_TYPE="databricks" [tool.hatch.envs.databricks-env] description = "Dev environment for working with the Databricks adapter" @@ -160,7 +167,7 @@ features = [ ] [tool.hatch.envs.redshift-env.env-vars] - MF_TEST_ADAPTER_TYPE="redshift" +MF_TEST_ADAPTER_TYPE="redshift" [tool.hatch.envs.redshift-env] description = "Dev environment for working with the Redshift adapter" @@ -171,7 +178,7 @@ features = [ ] [tool.hatch.envs.snowflake-env.env-vars] - MF_TEST_ADAPTER_TYPE="snowflake" +MF_TEST_ADAPTER_TYPE="snowflake" [tool.hatch.envs.snowflake-env] description = "Dev environment for working with Snowflake adapter" @@ -181,6 +188,20 @@ features = [ "sql-client-packages", ] +[tool.hatch.envs.trino-env.env-vars] +MF_TEST_ADAPTER_TYPE = "trino" +MF_SQL_ENGINE_URL = "trino://trino@localhost:8080/" +DBT_ENV_SECRET_CATALOG="memory" + +[tool.hatch.envs.trino-env] +description = "Dev environment for working with the Trino adapter" +features = [ + "dev-packages", + "dbt-trino", + "sql-client-packages", + "trino-sql-client-packages", +] + [tool.black] line-length = 120 @@ -189,7 +210,7 @@ line-length = 120 # warnings. [tool.pytest.ini_options] filterwarnings = [ - "ignore:Deprecated call to.*", - "ignore:pkg_resources is deprecated as an API" + "ignore:Deprecated call to.*", + "ignore:pkg_resources is deprecated as an API" ] python_functions = "test_* populate_source_schema"