From 6e42eb233a265078955a614a93b8914afb604cc3 Mon Sep 17 00:00:00 2001 From: Courtney Holcomb Date: Wed, 1 Nov 2023 12:02:08 -0700 Subject: [PATCH] Update Snowflake snapshots --- .../test_cumulative_fill_nulls__plan0.sql | 342 +++++++++++ ...cumulative_fill_nulls__plan0_optimized.sql | 33 + ...fill_nulls_for_one_input_metric__plan0.sql | 567 ++++++++++++++++++ ..._for_one_input_metric__plan0_optimized.sql | 77 +++ ...ll_0_with_categorical_dimension__plan0.sql | 214 +++++++ ...categorical_dimension__plan0_optimized.sql | 22 + ...ple_fill_0_with_non_metric_time__plan0.sql | 214 +++++++ ..._with_non_metric_time__plan0_optimized.sql | 22 + ...e_fill_nulls_with_0_metric_time__plan0.sql | 228 +++++++ ...ls_with_0_metric_time__plan0_optimized.sql | 31 + ..._simple_fill_nulls_with_0_month__plan0.sql | 230 +++++++ ...ll_nulls_with_0_month__plan0_optimized.sql | 38 ++ ...e_fill_nulls_without_time_spine__plan0.sql | 214 +++++++ ...ls_without_time_spine__plan0_optimized.sql | 22 + .../test_simple_join_to_time_spine__plan0.sql | 228 +++++++ ...le_join_to_time_spine__plan0_optimized.sql | 26 + 16 files changed, 2508 insertions(+) create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_cumulative_fill_nulls__plan0.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_cumulative_fill_nulls__plan0_optimized.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_derived_fill_nulls_for_one_input_metric__plan0.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_derived_fill_nulls_for_one_input_metric__plan0_optimized.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_categorical_dimension__plan0.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_categorical_dimension__plan0_optimized.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_non_metric_time__plan0.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_non_metric_time__plan0_optimized.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_metric_time__plan0.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_metric_time__plan0_optimized.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_month__plan0.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_month__plan0_optimized.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_without_time_spine__plan0.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_without_time_spine__plan0_optimized.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_join_to_time_spine__plan0.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_join_to_time_spine__plan0_optimized.sql diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_cumulative_fill_nulls__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_cumulative_fill_nulls__plan0.sql new file mode 100644 index 0000000000..cd4a642ba1 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/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_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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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 > DATEADD(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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_cumulative_fill_nulls__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_cumulative_fill_nulls__plan0_optimized.sql new file mode 100644 index 0000000000..d45fad26fd --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/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_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) > DATEADD(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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_derived_fill_nulls_for_one_input_metric__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_derived_fill_nulls_for_one_input_metric__plan0.sql new file mode 100644 index 0000000000..077ed02613 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_derived_fill_nulls_for_one_input_metric__plan0.sql @@ -0,0 +1,567 @@ +-- Compute Metrics via Expressions +SELECT + subq_16.metric_time__day + , bookings_fill_0 - bookings_2_weeks_ago AS bookings_growth_2_weeks_fill_0_for_non_offset +FROM ( + -- Combine Metrics + SELECT + COALESCE(subq_7.metric_time__day, subq_15.metric_time__day) AS metric_time__day + , subq_7.bookings_fill_0 AS bookings_fill_0 + , 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_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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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 + INNER 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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 + DATEADD(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 + ) OR ( + ( + subq_7.metric_time__day IS NULL + ) AND ( + subq_15.metric_time__day IS NULL + ) + ) +) subq_16 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_derived_fill_nulls_for_one_input_metric__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_derived_fill_nulls_for_one_input_metric__plan0_optimized.sql new file mode 100644 index 0000000000..f79c093542 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_derived_fill_nulls_for_one_input_metric__plan0_optimized.sql @@ -0,0 +1,77 @@ +-- Compute Metrics via Expressions +SELECT + metric_time__day + , bookings_fill_0 - bookings_2_weeks_ago AS bookings_growth_2_weeks_fill_0_for_non_offset +FROM ( + -- Combine Metrics + SELECT + COALESCE(subq_24.metric_time__day, subq_32.metric_time__day) AS metric_time__day + , subq_24.bookings_fill_0 AS bookings_fill_0 + , 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_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 + INNER 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 + DATEADD(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 + ) OR ( + ( + subq_24.metric_time__day IS NULL + ) AND ( + subq_32.metric_time__day IS NULL + ) + ) +) subq_33 diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_categorical_dimension__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_categorical_dimension__plan0.sql new file mode 100644 index 0000000000..38e934b999 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_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_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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_categorical_dimension__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_categorical_dimension__plan0_optimized.sql new file mode 100644 index 0000000000..137ea27829 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_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_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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_non_metric_time__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_non_metric_time__plan0.sql new file mode 100644 index 0000000000..58b82a670d --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_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_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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_non_metric_time__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_0_with_non_metric_time__plan0_optimized.sql new file mode 100644 index 0000000000..ff3673d7fc --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_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_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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_metric_time__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_metric_time__plan0.sql new file mode 100644 index 0000000000..0adef088cc --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/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_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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_metric_time__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_metric_time__plan0_optimized.sql new file mode 100644 index 0000000000..6eaf4ece6c --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/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_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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_month__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_month__plan0.sql new file mode 100644 index 0000000000..aea1de7dfe --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/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_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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_month__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_with_0_month__plan0_optimized.sql new file mode 100644 index 0000000000..3ff964d117 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/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_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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_without_time_spine__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_without_time_spine__plan0.sql new file mode 100644 index 0000000000..488fe29fd0 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/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_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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_without_time_spine__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_fill_nulls_without_time_spine__plan0_optimized.sql new file mode 100644 index 0000000000..996e4c7c5f --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/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_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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_join_to_time_spine__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_join_to_time_spine__plan0.sql new file mode 100644 index 0000000000..d36547c6e6 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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(dayofweekiso 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_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_join_to_time_spine__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/test_simple_join_to_time_spine__plan0_optimized.sql new file mode 100644 index 0000000000..cc3c93f375 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/Snowflake/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