Update SQL engine snapshots for new tests

tests_metricflow/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/BigQuery/test_subdaily_cumulative_grain_to_date_metric__plan0_optimized.sql

@@ -0,0 +1,24 @@
+-- Join Self Over Time Range
+-- Pass Only Elements: ['archived_users', 'metric_time__hour']
+-- Aggregate Measures
+-- Compute Metrics via Expressions
+SELECT
+  subq_10.ts AS metric_time__hour
+  , SUM(subq_8.archived_users) AS subdaily_cumulative_grain_to_date_metric
+FROM ***************************.mf_time_spine_hour subq_10
+INNER JOIN (
+  -- Read Elements From Semantic Model 'users_ds_source'
+  -- Metric Time Dimension 'archived_at'
+  SELECT
+    DATETIME_TRUNC(archived_at, hour) AS metric_time__hour
+    , 1 AS archived_users
+  FROM ***************************.dim_users users_ds_source_src_28000
+) subq_8
+ON
+  (
+    subq_8.metric_time__hour <= subq_10.ts
+  ) AND (
+    subq_8.metric_time__hour >= DATETIME_TRUNC(subq_10.ts, hour)
+  )
+GROUP BY
+  metric_time__hour

tests_metricflow/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/BigQuery/test_subdaily_cumulative_window_metric__plan0_optimized.sql

@@ -0,0 +1,24 @@
+-- Join Self Over Time Range
+-- Pass Only Elements: ['archived_users', 'metric_time__hour']
+-- Aggregate Measures
+-- Compute Metrics via Expressions
+SELECT
+  subq_10.ts AS metric_time__hour
+  , SUM(subq_8.archived_users) AS subdaily_cumulative_window_metric
+FROM ***************************.mf_time_spine_hour subq_10
+INNER JOIN (
+  -- Read Elements From Semantic Model 'users_ds_source'
+  -- Metric Time Dimension 'archived_at'
+  SELECT
+    DATETIME_TRUNC(archived_at, hour) AS metric_time__hour
+    , 1 AS archived_users
+  FROM ***************************.dim_users users_ds_source_src_28000
+) subq_8
+ON
+  (
+    subq_8.metric_time__hour <= subq_10.ts
+  ) AND (
+    subq_8.metric_time__hour > DATE_SUB(CAST(subq_10.ts AS DATETIME), INTERVAL 3 hour)
+  )
+GROUP BY
+  metric_time__hour

tests_metricflow/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/BigQuery/test_subdaily_join_to_time_spine_metric__plan0_optimized.sql

@@ -0,0 +1,25 @@
+-- Join to Time Spine Dataset
+-- Compute Metrics via Expressions
+SELECT
+  subq_12.ts AS metric_time__hour
+  , subq_10.archived_users AS subdaily_join_to_time_spine_metric
+FROM ***************************.mf_time_spine_hour subq_12
+LEFT OUTER JOIN (
+  -- Aggregate Measures
+  SELECT
+    metric_time__hour
+    , SUM(archived_users) AS archived_users
+  FROM (
+    -- Read Elements From Semantic Model 'users_ds_source'
+    -- Metric Time Dimension 'archived_at'
+    -- Pass Only Elements: ['archived_users', 'metric_time__hour']
+    SELECT
+      DATETIME_TRUNC(archived_at, hour) AS metric_time__hour
+      , 1 AS archived_users
+    FROM ***************************.dim_users users_ds_source_src_28000
+  ) subq_9
+  GROUP BY
+    metric_time__hour
+) subq_10
+ON
+  subq_12.ts = subq_10.metric_time__hour

tests_metricflow/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/BigQuery/test_subdaily_offset_to_grain_metric__plan0_optimized.sql

@@ -0,0 +1,26 @@
+-- Compute Metrics via Expressions
+SELECT
+  metric_time__hour
+  , archived_users AS subdaily_offset_grain_to_date_metric
+FROM (
+  -- Join to Time Spine Dataset
+  -- Pass Only Elements: ['archived_users', 'metric_time__hour']
+  -- Aggregate Measures
+  -- Compute Metrics via Expressions
+  SELECT
+    subq_11.ts AS metric_time__hour
+    , SUM(subq_9.archived_users) AS archived_users
+  FROM ***************************.mf_time_spine_hour subq_11
+  INNER JOIN (
+    -- Read Elements From Semantic Model 'users_ds_source'
+    -- Metric Time Dimension 'archived_at'
+    SELECT
+      DATETIME_TRUNC(archived_at, hour) AS metric_time__hour
+      , 1 AS archived_users
+    FROM ***************************.dim_users users_ds_source_src_28000
+  ) subq_9
+  ON
+    DATETIME_TRUNC(subq_11.ts, hour) = subq_9.metric_time__hour
+  GROUP BY
+    metric_time__hour
+) subq_15

tests_metricflow/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/BigQuery/test_subdaily_offset_window_metric__plan0_optimized.sql

@@ -0,0 +1,26 @@
+-- Compute Metrics via Expressions
+SELECT
+  metric_time__hour
+  , archived_users AS subdaily_offset_window_metric
+FROM (
+  -- Join to Time Spine Dataset
+  -- Pass Only Elements: ['archived_users', 'metric_time__hour']
+  -- Aggregate Measures
+  -- Compute Metrics via Expressions
+  SELECT
+    subq_11.ts AS metric_time__hour
+    , SUM(subq_9.archived_users) AS archived_users
+  FROM ***************************.mf_time_spine_hour subq_11
+  INNER JOIN (
+    -- Read Elements From Semantic Model 'users_ds_source'
+    -- Metric Time Dimension 'archived_at'
+    SELECT
+      DATETIME_TRUNC(archived_at, hour) AS metric_time__hour
+      , 1 AS archived_users
+    FROM ***************************.dim_users users_ds_source_src_28000
+  ) subq_9
+  ON
+    DATE_SUB(CAST(subq_11.ts AS DATETIME), INTERVAL 1 hour) = subq_9.metric_time__hour
+  GROUP BY
+    metric_time__hour
+) subq_15

tests_metricflow/snapshots/test_granularity_date_part_rendering.py/SqlQueryPlan/Databricks/test_subdaily_cumulative_grain_to_date_metric__plan0_optimized.sql

@@ -0,0 +1,24 @@
+-- Join Self Over Time Range
+-- Pass Only Elements: ['archived_users', 'metric_time__hour']
+-- Aggregate Measures
+-- Compute Metrics via Expressions
+SELECT
+  subq_10.ts AS metric_time__hour
+  , SUM(subq_8.archived_users) AS subdaily_cumulative_grain_to_date_metric
+FROM ***************************.mf_time_spine_hour subq_10
+INNER JOIN (
+  -- Read Elements From Semantic Model 'users_ds_source'
+  -- Metric Time Dimension 'archived_at'
+  SELECT
+    DATE_TRUNC('hour', archived_at) AS metric_time__hour
+    , 1 AS archived_users
+  FROM ***************************.dim_users users_ds_source_src_28000
+) subq_8
+ON
+  (
+    subq_8.metric_time__hour <= subq_10.ts
+  ) AND (
+    subq_8.metric_time__hour >= DATE_TRUNC('hour', subq_10.ts)
+  )
+GROUP BY
+  subq_10.ts