Update SQL engine snapshots

tests_metricflow/snapshots/test_custom_granularity.py/SqlPlan/BigQuery/test_custom_grain_in_metric_yaml_filter__plan0_optimized.sql

@@ -0,0 +1,33 @@
+test_name: test_custom_grain_in_metric_yaml_filter
+test_filename: test_custom_granularity.py
+sql_engine: BigQuery
+---
+-- Constrain Output with WHERE
+-- Pass Only Elements: ['bookings', 'metric_time__day']
+-- Aggregate Measures
+-- Compute Metrics via Expressions
+SELECT
+  metric_time__day
+  , SUM(bookings) AS bookings_on_first_alien_day
+FROM (
+  -- Metric Time Dimension 'ds'
+  -- Join to Custom Granularity Dataset
+  SELECT
+    subq_6.ds__day AS metric_time__day
+    , subq_6.bookings AS bookings
+    , subq_7.alien_day AS metric_time__alien_day
+  FROM (
+    -- Read Elements From Semantic Model 'bookings_source'
+    SELECT
+      1 AS bookings
+      , DATETIME_TRUNC(ds, day) AS ds__day
+    FROM ***************************.fct_bookings bookings_source_src_28000
+  ) subq_6
+  LEFT OUTER JOIN
+    ***************************.mf_time_spine subq_7
+  ON
+    subq_6.ds__day = subq_7.ds
+) subq_8
+WHERE metric_time__alien_day
+GROUP BY
+  metric_time__day

tests_metricflow/snapshots/test_custom_granularity.py/SqlPlan/BigQuery/test_custom_offset_window_with_filter_not_in_group_by__plan0_optimized.sql

@@ -0,0 +1,93 @@
+test_name: test_custom_offset_window_with_filter_not_in_group_by
+test_filename: test_custom_granularity.py
+sql_engine: BigQuery
+---
+-- Compute Metrics via Expressions
+SELECT
+  metric_time__day
+  , bookings AS bookings_offset_one_alien_day
+FROM (
+  -- Constrain Output with WHERE
+  -- Pass Only Elements: ['bookings', 'metric_time__day']
+  -- Aggregate Measures
+  -- Compute Metrics via Expressions
+  SELECT
+    metric_time__day
+    , SUM(bookings) AS bookings
+  FROM (
+    -- Join to Time Spine Dataset
+    SELECT
+      subq_26.ds__day__lead AS metric_time__day
+      , subq_22.metric_time__month AS metric_time__month
+      , subq_22.bookings AS bookings
+    FROM (
+      -- Offset Base Granularity By Custom Granularity Period(s)
+      WITH cte_6 AS (
+        -- Read From Time Spine 'mf_time_spine'
+        -- Get Custom Granularity Bounds
+        SELECT
+          ds AS ds__day
+          , alien_day AS ds__alien_day
+          , FIRST_VALUE(ds) OVER (
+            PARTITION BY alien_day
+            ORDER BY ds
+            ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
+          ) AS ds__day__first_value
+          , LAST_VALUE(ds) OVER (
+            PARTITION BY alien_day
+            ORDER BY ds
+            ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
+          ) AS ds__day__last_value
+          , ROW_NUMBER() OVER (
+            PARTITION BY alien_day
+            ORDER BY ds
+          ) AS ds__day__row_number
+        FROM ***************************.mf_time_spine time_spine_src_28006
+      )
+
+      SELECT
+        cte_6.ds__day AS ds__day
+        , CASE
+          WHEN DATE_ADD(CAST(subq_25.ds__day__first_value__lead AS DATETIME), INTERVAL cte_6.ds__day__row_number - 1 day) <= subq_25.ds__day__last_value__lead
+            THEN DATE_ADD(CAST(subq_25.ds__day__first_value__lead AS DATETIME), INTERVAL cte_6.ds__day__row_number - 1 day)
+          ELSE NULL
+        END AS ds__day__lead
+      FROM cte_6 cte_6
+      INNER JOIN (
+        -- Offset Custom Granularity Bounds
+        SELECT
+          ds__alien_day
+          , LEAD(ds__day__first_value, 1) OVER (ORDER BY ds__alien_day) AS ds__day__first_value__lead
+          , LEAD(ds__day__last_value, 1) OVER (ORDER BY ds__alien_day) AS ds__day__last_value__lead
+        FROM (
+          -- Get Unique Rows for Custom Granularity Bounds
+          SELECT
+            ds__alien_day
+            , ds__day__first_value
+            , ds__day__last_value
+          FROM cte_6 cte_6
+          GROUP BY
+            ds__alien_day
+            , ds__day__first_value
+            , ds__day__last_value
+        ) subq_24
+      ) subq_25
+      ON
+        cte_6.ds__alien_day = subq_25.ds__alien_day
+    ) subq_26
+    INNER JOIN (
+      -- Read Elements From Semantic Model 'bookings_source'
+      -- Metric Time Dimension 'ds'
+      SELECT
+        DATETIME_TRUNC(ds, day) AS metric_time__day
+        , DATETIME_TRUNC(ds, month) AS metric_time__month
+        , 1 AS bookings
+      FROM ***************************.fct_bookings bookings_source_src_28000
+    ) subq_22
+    ON
+      subq_26.ds__day = subq_22.metric_time__day
+  ) subq_29
+  WHERE metric_time__month = '2020-01-01'
+  GROUP BY
+    metric_time__day
+) subq_33