From c117e8eac316e0a8387b04e8be78674b2411c538 Mon Sep 17 00:00:00 2001 From: Will Deng Date: Wed, 15 Nov 2023 02:49:09 -0500 Subject: [PATCH] commit to show snapshots (to revert this commit after renaming node after PR review) --- .../test_dataflow_to_sql_plan.py | 60 ++ .../test_combine_output_node__plan0.sql | 228 +++++ ...t_combine_output_node__plan0_optimized.sql | 46 + .../test_combine_output_node__plan0.xml | 843 ++++++++++++++++++ 4 files changed, 1177 insertions(+) create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/DuckDB/test_combine_output_node__plan0.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/DuckDB/test_combine_output_node__plan0_optimized.sql create mode 100644 metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/test_combine_output_node__plan0.xml diff --git a/metricflow/test/plan_conversion/test_dataflow_to_sql_plan.py b/metricflow/test/plan_conversion/test_dataflow_to_sql_plan.py index caebaf4b6d..1c65e018d2 100644 --- a/metricflow/test/plan_conversion/test_dataflow_to_sql_plan.py +++ b/metricflow/test/plan_conversion/test_dataflow_to_sql_plan.py @@ -15,6 +15,7 @@ from metricflow.dataflow.dataflow_plan import ( AggregateMeasuresNode, BaseOutput, + CombineMetricsNode, ComputeMetricsNode, ConstrainTimeRangeNode, DataflowPlan, @@ -1003,3 +1004,62 @@ def test_compute_metrics_node_ratio_from_multiple_semantic_models( sql_client=sql_client, node=dataflow_plan.sink_output_nodes[0].parent_node, ) + + +@pytest.mark.sql_engine_snapshot +def test_combine_output_node( # noqa: D + request: FixtureRequest, + mf_test_session_state: MetricFlowTestSessionState, + dataflow_to_sql_converter: DataflowToSqlQueryPlanConverter, + consistent_id_object_repository: ConsistentIdObjectRepository, + sql_client: SqlClient, +) -> None: + """Tests combining AggregateMeasuresNode.""" + sum_spec = MeasureSpec( + element_name="bookings", + ) + sum_boolean_spec = MeasureSpec( + element_name="instant_bookings", + ) + count_distinct_spec = MeasureSpec( + element_name="bookers", + ) + dimension_spec = DimensionSpec( + element_name="is_instant", + entity_links=(), + ) + measure_source_node = consistent_id_object_repository.simple_model_read_nodes["bookings_source"] + + # Build compute measures node + measure_specs: List[MeasureSpec] = [sum_spec] + filtered_measure_node = FilterElementsNode( + parent_node=measure_source_node, + include_specs=InstanceSpecSet(measure_specs=tuple(measure_specs), dimension_specs=(dimension_spec,)), + ) + aggregated_measure_node = AggregateMeasuresNode( + parent_node=filtered_measure_node, + metric_input_measure_specs=tuple(MetricInputMeasureSpec(measure_spec=x) for x in measure_specs), + ) + + # Build agg measures node + measure_specs_2 = [sum_boolean_spec, count_distinct_spec] + filtered_measure_node_2 = FilterElementsNode( + parent_node=measure_source_node, + include_specs=InstanceSpecSet(measure_specs=tuple(measure_specs_2), dimension_specs=(dimension_spec,)), + ) + aggregated_measure_node_2 = AggregateMeasuresNode( + parent_node=filtered_measure_node_2, + metric_input_measure_specs=tuple( + MetricInputMeasureSpec(measure_spec=x, fill_nulls_with=1) for x in measure_specs_2 + ), + ) + + combine_output_node = CombineMetricsNode([aggregated_measure_node, aggregated_measure_node_2]) + + convert_and_check( + request=request, + mf_test_session_state=mf_test_session_state, + dataflow_to_sql_converter=dataflow_to_sql_converter, + sql_client=sql_client, + node=combine_output_node, + ) diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/DuckDB/test_combine_output_node__plan0.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/DuckDB/test_combine_output_node__plan0.sql new file mode 100644 index 0000000000..25c453e0dd --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/DuckDB/test_combine_output_node__plan0.sql @@ -0,0 +1,228 @@ +-- Combine Metrics +SELECT + COALESCE(subq_2.is_instant, subq_5.is_instant) AS is_instant + , MAX(subq_2.bookings) AS bookings + , COALESCE(MAX(subq_5.instant_bookings), 1) AS instant_bookings + , COALESCE(MAX(subq_5.bookers), 1) AS bookers +FROM ( + -- Aggregate Measures + SELECT + subq_1.is_instant + , SUM(subq_1.bookings) AS bookings + FROM ( + -- Pass Only Elements: + -- ['bookings', 'is_instant'] + SELECT + subq_0.is_instant + , subq_0.bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(isodow 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(isodow 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(isodow 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(isodow 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(isodow 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(isodow FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_0 + ) subq_1 + GROUP BY + subq_1.is_instant +) subq_2 +FULL OUTER JOIN ( + -- Aggregate Measures + SELECT + subq_4.is_instant + , SUM(subq_4.instant_bookings) AS instant_bookings + , COUNT(DISTINCT subq_4.bookers) AS bookers + FROM ( + -- Pass Only Elements: + -- ['instant_bookings', 'bookers', 'is_instant'] + SELECT + subq_3.is_instant + , subq_3.instant_bookings + , subq_3.bookers + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + SELECT + 1 AS bookings + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , bookings_source_src_10001.booking_value + , bookings_source_src_10001.booking_value AS max_booking_value + , bookings_source_src_10001.booking_value AS min_booking_value + , bookings_source_src_10001.guest_id AS bookers + , bookings_source_src_10001.booking_value AS average_booking_value + , bookings_source_src_10001.booking_value AS booking_payments + , CASE WHEN referrer_id IS NOT NULL THEN 1 ELSE 0 END AS referred_bookings + , bookings_source_src_10001.booking_value AS median_booking_value + , bookings_source_src_10001.booking_value AS booking_value_p99 + , bookings_source_src_10001.booking_value AS discrete_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_continuous_booking_value_p99 + , bookings_source_src_10001.booking_value AS approximate_discrete_booking_value_p99 + , bookings_source_src_10001.is_instant + , DATE_TRUNC('day', bookings_source_src_10001.ds) AS ds__day + , DATE_TRUNC('week', bookings_source_src_10001.ds) AS ds__week + , DATE_TRUNC('month', bookings_source_src_10001.ds) AS ds__month + , DATE_TRUNC('quarter', bookings_source_src_10001.ds) AS ds__quarter + , DATE_TRUNC('year', bookings_source_src_10001.ds) AS ds__year + , EXTRACT(year FROM bookings_source_src_10001.ds) AS ds__extract_year + , EXTRACT(quarter FROM bookings_source_src_10001.ds) AS ds__extract_quarter + , EXTRACT(month FROM bookings_source_src_10001.ds) AS ds__extract_month + , EXTRACT(day FROM bookings_source_src_10001.ds) AS ds__extract_day + , EXTRACT(isodow 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(isodow 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(isodow 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(isodow 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(isodow 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(isodow FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_dow + , EXTRACT(doy FROM bookings_source_src_10001.paid_at) AS booking__paid_at__extract_doy + , bookings_source_src_10001.listing_id AS listing + , bookings_source_src_10001.guest_id AS guest + , bookings_source_src_10001.host_id AS host + , bookings_source_src_10001.listing_id AS booking__listing + , bookings_source_src_10001.guest_id AS booking__guest + , bookings_source_src_10001.host_id AS booking__host + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_3 + ) subq_4 + GROUP BY + subq_4.is_instant +) subq_5 +ON + subq_2.is_instant = subq_5.is_instant +GROUP BY + COALESCE(subq_2.is_instant, subq_5.is_instant) diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/DuckDB/test_combine_output_node__plan0_optimized.sql b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/DuckDB/test_combine_output_node__plan0_optimized.sql new file mode 100644 index 0000000000..b357345f9a --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/DuckDB/test_combine_output_node__plan0_optimized.sql @@ -0,0 +1,46 @@ +-- Combine Metrics +SELECT + COALESCE(subq_8.is_instant, subq_11.is_instant) AS is_instant + , MAX(subq_8.bookings) AS bookings + , COALESCE(MAX(subq_11.instant_bookings), 1) AS instant_bookings + , COALESCE(MAX(subq_11.bookers), 1) AS bookers +FROM ( + -- Aggregate Measures + SELECT + is_instant + , SUM(bookings) AS bookings + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Pass Only Elements: + -- ['bookings', 'is_instant'] + SELECT + is_instant + , 1 AS bookings + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_7 + GROUP BY + is_instant +) subq_8 +FULL OUTER JOIN ( + -- Aggregate Measures + SELECT + is_instant + , SUM(instant_bookings) AS instant_bookings + , COUNT(DISTINCT bookers) AS bookers + FROM ( + -- Read Elements From Semantic Model 'bookings_source' + -- Pass Only Elements: + -- ['instant_bookings', 'bookers', 'is_instant'] + SELECT + is_instant + , CASE WHEN is_instant THEN 1 ELSE 0 END AS instant_bookings + , guest_id AS bookers + FROM ***************************.fct_bookings bookings_source_src_10001 + ) subq_10 + GROUP BY + is_instant +) subq_11 +ON + subq_8.is_instant = subq_11.is_instant +GROUP BY + COALESCE(subq_8.is_instant, subq_11.is_instant) diff --git a/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/test_combine_output_node__plan0.xml b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/test_combine_output_node__plan0.xml new file mode 100644 index 0000000000..e1cf8b6716 --- /dev/null +++ b/metricflow/test/snapshots/test_dataflow_to_sql_plan.py/SqlQueryPlan/test_combine_output_node__plan0.xml @@ -0,0 +1,843 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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