Add snapshots for all engines

tests_metricflow/snapshots/test_conversion_metric_rendering.py/SqlQueryPlan/BigQuery/test_conversion_metric__plan0_optimized.sql

@@ -0,0 +1,110 @@
+-- Compute Metrics via Expressions
+SELECT
+  metric_time__day
+  , CAST(buys AS FLOAT64) / CAST(NULLIF(visits, 0) AS FLOAT64) AS visit_buy_conversion_rate
+FROM (
+  -- Combine Aggregated Outputs
+  SELECT
+    COALESCE(subq_20.metric_time__day, subq_30.metric_time__day) AS metric_time__day
+    , MAX(subq_20.visits) AS visits
+    , MAX(subq_30.buys) AS buys
+  FROM (
+    -- Constrain Output with WHERE
+    -- Aggregate Measures
+    SELECT
+      metric_time__day
+      , SUM(visits) AS visits
+    FROM (
+      -- Read Elements From Semantic Model 'visits_source'
+      -- Metric Time Dimension 'ds'
+      -- Pass Only Elements: ['visits', 'metric_time__day']
+      SELECT
+        DATE_TRUNC(ds, day) AS metric_time__day
+        , 1 AS visits
+      FROM ***************************.fct_visits visits_source_src_28000
+    ) subq_18
+    WHERE metric_time__day = '2020-01-01'
+    GROUP BY
+      metric_time__day
+  ) subq_20
+  FULL OUTER JOIN (
+    -- Find conversions for user within the range of INF
+    -- Pass Only Elements: ['buys', 'metric_time__day']
+    -- Aggregate Measures
+    SELECT
+      metric_time__day
+      , SUM(buys) AS buys
+    FROM (
+      -- Dedupe the fanout with mf_internal_uuid in the conversion data set
+      SELECT DISTINCT
+        first_value(subq_23.visits) OVER (
+          PARTITION BY
+            subq_26.user
+            , subq_26.ds__day
+            , subq_26.mf_internal_uuid
+          ORDER BY subq_23.ds__day DESC
+          ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
+        ) AS visits
+        , first_value(subq_23.ds__day) OVER (
+          PARTITION BY
+            subq_26.user
+            , subq_26.ds__day
+            , subq_26.mf_internal_uuid
+          ORDER BY subq_23.ds__day DESC
+          ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
+        ) AS ds__day
+        , first_value(subq_23.metric_time__day) OVER (
+          PARTITION BY
+            subq_26.user
+            , subq_26.ds__day
+            , subq_26.mf_internal_uuid
+          ORDER BY subq_23.ds__day DESC
+          ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
+        ) AS metric_time__day
+        , first_value(subq_23.user) OVER (
+          PARTITION BY
+            subq_26.user
+            , subq_26.ds__day
+            , subq_26.mf_internal_uuid
+          ORDER BY subq_23.ds__day DESC
+          ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
+        ) AS user
+        , subq_26.mf_internal_uuid AS mf_internal_uuid
+        , subq_26.buys AS buys
+      FROM (
+        -- Read Elements From Semantic Model 'visits_source'
+        -- Metric Time Dimension 'ds'
+        -- Pass Only Elements: ['visits', 'ds__day', 'metric_time__day', 'user']
+        SELECT
+          DATE_TRUNC(ds, day) AS ds__day
+          , DATE_TRUNC(ds, day) AS metric_time__day
+          , user_id AS user
+          , 1 AS visits
+        FROM ***************************.fct_visits visits_source_src_28000
+      ) subq_23
+      INNER JOIN (
+        -- Read Elements From Semantic Model 'buys_source'
+        -- Metric Time Dimension 'ds'
+        -- Add column with generated UUID
+        SELECT
+          DATE_TRUNC(ds, day) AS ds__day
+          , user_id AS user
+          , 1 AS buys
+          , GENERATE_UUID() AS mf_internal_uuid
+        FROM ***************************.fct_buys buys_source_src_28000
+      ) subq_26
+      ON
+        (
+          subq_23.user = subq_26.user
+        ) AND (
+          (subq_23.ds__day <= subq_26.ds__day)
+        )
+    ) subq_27
+    GROUP BY
+      metric_time__day
+  ) subq_30
+  ON
+    subq_20.metric_time__day = subq_30.metric_time__day
+  GROUP BY
+    metric_time__day
+) subq_31