Update rendering to use date_trunc on base time dimension granularity

MetricFlow's initial time dimension select statement rendering
was built on the assumption that the granularity configred for a given
time dimension would always match the granularity of the values stored.
For example, if a time dimension was defined with granularity DAY, we
assumed that the values in the warehouse would always correspond to
daily granularity data, and would never be offset from a day boundary.

This assumption is flawed for a variety of reasons - yearly or quarterly
granularities might use different offset boundaries, users may
misconfigure dimensions or allow offset values into the dataset which
could be safely corrected, etc.

This change updates our rendering to apply the date_trunc operation on
the base time dimension column, just as we do for the other, coarser
granularities. The one exception is for the base granularity column
for validity window time dimensions, which must retain their underlying
granularity in order to remain viable as validity window boundaries
for any DAILY granularity contexts, as we do not support smaller than
daily granularities at this time.

Note this may cause queries with start and end time constraints to
no longer trigger partition pruning, an issue which will be addressed
in subsequent updates.

metricflow/dataset/convert_semantic_model.py

@@ -285,12 +285,24 @@ def _convert_time_dimension(
             time_granularity=defined_time_granularity,
         )
         time_dimension_instances.append(time_dimension_instance)
-        select_columns.append(
-            SqlSelectColumn(
-                expr=dimension_select_expr,
-                column_alias=time_dimension_instance.associated_column.column_name,
+
+        # Until we support minimal granularities, we cannot truncate for
+        # any time dimension used as part of a validity window, since a validity window might
+        # be stored in seconds while we would truncate to daily.
+        if dimension.validity_params:
+            select_columns.append(
+                SqlSelectColumn(
+                    expr=dimension_select_expr,
+                    column_alias=time_dimension_instance.associated_column.column_name,
+                )
+            )
+        else:
+            select_columns.append(
+                SqlSelectColumn(
+                    expr=SqlDateTruncExpression(time_granularity=defined_time_granularity, arg=dimension_select_expr),
+                    column_alias=time_dimension_instance.associated_column.column_name,
+                )
             )
-        )
 
         # Add time dimensions with a smaller granularity for ease in query resolution
         for time_granularity in TimeGranularity:

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/BigQuery/test_convert_query_semantic_model__plan0.sql

@@ -1,7 +1,7 @@
 -- Read Elements From Semantic Model 'revenue'
 SELECT
   revenue_src_10006.revenue AS txn_revenue
-  , revenue_src_10006.created_at AS ds__day
+  , DATE_TRUNC(revenue_src_10006.created_at, day) AS ds__day
   , DATE_TRUNC(revenue_src_10006.created_at, isoweek) AS ds__week
   , DATE_TRUNC(revenue_src_10006.created_at, month) AS ds__month
   , DATE_TRUNC(revenue_src_10006.created_at, quarter) AS ds__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(day FROM revenue_src_10006.created_at) AS ds__extract_day
   , EXTRACT(dayofweek FROM revenue_src_10006.created_at) AS ds__extract_dow
   , EXTRACT(dayofyear FROM revenue_src_10006.created_at) AS ds__extract_doy
-  , revenue_src_10006.created_at AS company__ds__day
+  , DATE_TRUNC(revenue_src_10006.created_at, day) AS company__ds__day
   , DATE_TRUNC(revenue_src_10006.created_at, isoweek) AS company__ds__week
   , DATE_TRUNC(revenue_src_10006.created_at, month) AS company__ds__month
   , DATE_TRUNC(revenue_src_10006.created_at, quarter) AS company__ds__quarter

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/BigQuery/test_convert_table_semantic_model_with_measures__plan0.sql

@@ -1,7 +1,7 @@
 -- Read Elements From Semantic Model 'id_verifications'
 SELECT
   1 AS identity_verifications
-  , id_verifications_src_10003.ds AS ds__day
+  , DATE_TRUNC(id_verifications_src_10003.ds, day) AS ds__day
   , DATE_TRUNC(id_verifications_src_10003.ds, isoweek) AS ds__week
   , DATE_TRUNC(id_verifications_src_10003.ds, month) AS ds__month
   , DATE_TRUNC(id_verifications_src_10003.ds, quarter) AS ds__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(day FROM id_verifications_src_10003.ds) AS ds__extract_day
   , EXTRACT(dayofweek FROM id_verifications_src_10003.ds) AS ds__extract_dow
   , EXTRACT(dayofyear FROM id_verifications_src_10003.ds) AS ds__extract_doy
-  , id_verifications_src_10003.ds_partitioned AS ds_partitioned__day
+  , DATE_TRUNC(id_verifications_src_10003.ds_partitioned, day) AS ds_partitioned__day
   , DATE_TRUNC(id_verifications_src_10003.ds_partitioned, isoweek) AS ds_partitioned__week
   , DATE_TRUNC(id_verifications_src_10003.ds_partitioned, month) AS ds_partitioned__month
   , DATE_TRUNC(id_verifications_src_10003.ds_partitioned, quarter) AS ds_partitioned__quarter
@@ -26,7 +26,7 @@ SELECT
   , EXTRACT(dayofweek FROM id_verifications_src_10003.ds_partitioned) AS ds_partitioned__extract_dow
   , EXTRACT(dayofyear FROM id_verifications_src_10003.ds_partitioned) AS ds_partitioned__extract_doy
   , id_verifications_src_10003.verification_type
-  , id_verifications_src_10003.ds AS verification__ds__day
+  , DATE_TRUNC(id_verifications_src_10003.ds, day) AS verification__ds__day
   , DATE_TRUNC(id_verifications_src_10003.ds, isoweek) AS verification__ds__week
   , DATE_TRUNC(id_verifications_src_10003.ds, month) AS verification__ds__month
   , DATE_TRUNC(id_verifications_src_10003.ds, quarter) AS verification__ds__quarter
@@ -38,7 +38,7 @@ SELECT
   , EXTRACT(day FROM id_verifications_src_10003.ds) AS verification__ds__extract_day
   , EXTRACT(dayofweek FROM id_verifications_src_10003.ds) AS verification__ds__extract_dow
   , EXTRACT(dayofyear FROM id_verifications_src_10003.ds) AS verification__ds__extract_doy
-  , id_verifications_src_10003.ds_partitioned AS verification__ds_partitioned__day
+  , DATE_TRUNC(id_verifications_src_10003.ds_partitioned, day) AS verification__ds_partitioned__day
   , DATE_TRUNC(id_verifications_src_10003.ds_partitioned, isoweek) AS verification__ds_partitioned__week
   , DATE_TRUNC(id_verifications_src_10003.ds_partitioned, month) AS verification__ds_partitioned__month
   , DATE_TRUNC(id_verifications_src_10003.ds_partitioned, quarter) AS verification__ds_partitioned__quarter

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/BigQuery/test_convert_table_semantic_model_without_measures__plan0.sql

@@ -1,6 +1,6 @@
 -- Read Elements From Semantic Model 'users_latest'
 SELECT
-  users_latest_src_10008.ds AS ds_latest__day
+  DATE_TRUNC(users_latest_src_10008.ds, day) AS ds_latest__day
   , DATE_TRUNC(users_latest_src_10008.ds, isoweek) AS ds_latest__week
   , DATE_TRUNC(users_latest_src_10008.ds, month) AS ds_latest__month
   , DATE_TRUNC(users_latest_src_10008.ds, quarter) AS ds_latest__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(dayofweek FROM users_latest_src_10008.ds) AS ds_latest__extract_dow
   , EXTRACT(dayofyear FROM users_latest_src_10008.ds) AS ds_latest__extract_doy
   , users_latest_src_10008.home_state_latest
-  , users_latest_src_10008.ds AS user__ds_latest__day
+  , DATE_TRUNC(users_latest_src_10008.ds, day) AS user__ds_latest__day
   , DATE_TRUNC(users_latest_src_10008.ds, isoweek) AS user__ds_latest__week
   , DATE_TRUNC(users_latest_src_10008.ds, month) AS user__ds_latest__month
   , DATE_TRUNC(users_latest_src_10008.ds, quarter) AS user__ds_latest__quarter

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Databricks/test_convert_query_semantic_model__plan0.sql

@@ -1,7 +1,7 @@
 -- Read Elements From Semantic Model 'revenue'
 SELECT
   revenue_src_10006.revenue AS txn_revenue
-  , revenue_src_10006.created_at AS ds__day
+  , DATE_TRUNC('day', revenue_src_10006.created_at) AS ds__day
   , DATE_TRUNC('week', revenue_src_10006.created_at) AS ds__week
   , DATE_TRUNC('month', revenue_src_10006.created_at) AS ds__month
   , DATE_TRUNC('quarter', revenue_src_10006.created_at) AS ds__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(day FROM revenue_src_10006.created_at) AS ds__extract_day
   , EXTRACT(dow FROM revenue_src_10006.created_at) AS ds__extract_dow
   , EXTRACT(doy FROM revenue_src_10006.created_at) AS ds__extract_doy
-  , revenue_src_10006.created_at AS company__ds__day
+  , DATE_TRUNC('day', revenue_src_10006.created_at) AS company__ds__day
   , DATE_TRUNC('week', revenue_src_10006.created_at) AS company__ds__week
   , DATE_TRUNC('month', revenue_src_10006.created_at) AS company__ds__month
   , DATE_TRUNC('quarter', revenue_src_10006.created_at) AS company__ds__quarter

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Databricks/test_convert_table_semantic_model_with_measures__plan0.sql

@@ -1,7 +1,7 @@
 -- Read Elements From Semantic Model 'id_verifications'
 SELECT
   1 AS identity_verifications
-  , id_verifications_src_10003.ds AS ds__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds) AS ds__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds) AS ds__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds) AS ds__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds) AS ds__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(day FROM id_verifications_src_10003.ds) AS ds__extract_day
   , EXTRACT(dow FROM id_verifications_src_10003.ds) AS ds__extract_dow
   , EXTRACT(doy FROM id_verifications_src_10003.ds) AS ds__extract_doy
-  , id_verifications_src_10003.ds_partitioned AS ds_partitioned__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__quarter
@@ -26,7 +26,7 @@ SELECT
   , EXTRACT(dow FROM id_verifications_src_10003.ds_partitioned) AS ds_partitioned__extract_dow
   , EXTRACT(doy FROM id_verifications_src_10003.ds_partitioned) AS ds_partitioned__extract_doy
   , id_verifications_src_10003.verification_type
-  , id_verifications_src_10003.ds AS verification__ds__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds) AS verification__ds__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds) AS verification__ds__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds) AS verification__ds__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds) AS verification__ds__quarter
@@ -38,7 +38,7 @@ SELECT
   , EXTRACT(day FROM id_verifications_src_10003.ds) AS verification__ds__extract_day
   , EXTRACT(dow FROM id_verifications_src_10003.ds) AS verification__ds__extract_dow
   , EXTRACT(doy FROM id_verifications_src_10003.ds) AS verification__ds__extract_doy
-  , id_verifications_src_10003.ds_partitioned AS verification__ds_partitioned__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__quarter

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Databricks/test_convert_table_semantic_model_without_measures__plan0.sql

@@ -1,6 +1,6 @@
 -- Read Elements From Semantic Model 'users_latest'
 SELECT
-  users_latest_src_10008.ds AS ds_latest__day
+  DATE_TRUNC('day', users_latest_src_10008.ds) AS ds_latest__day
   , DATE_TRUNC('week', users_latest_src_10008.ds) AS ds_latest__week
   , DATE_TRUNC('month', users_latest_src_10008.ds) AS ds_latest__month
   , DATE_TRUNC('quarter', users_latest_src_10008.ds) AS ds_latest__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(dow FROM users_latest_src_10008.ds) AS ds_latest__extract_dow
   , EXTRACT(doy FROM users_latest_src_10008.ds) AS ds_latest__extract_doy
   , users_latest_src_10008.home_state_latest
-  , users_latest_src_10008.ds AS user__ds_latest__day
+  , DATE_TRUNC('day', users_latest_src_10008.ds) AS user__ds_latest__day
   , DATE_TRUNC('week', users_latest_src_10008.ds) AS user__ds_latest__week
   , DATE_TRUNC('month', users_latest_src_10008.ds) AS user__ds_latest__month
   , DATE_TRUNC('quarter', users_latest_src_10008.ds) AS user__ds_latest__quarter

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/DuckDB/test_convert_query_semantic_model__plan0.sql

@@ -1,7 +1,7 @@
 -- Read Elements From Semantic Model 'revenue'
 SELECT
   revenue_src_10006.revenue AS txn_revenue
-  , revenue_src_10006.created_at AS ds__day
+  , DATE_TRUNC('day', revenue_src_10006.created_at) AS ds__day
   , DATE_TRUNC('week', revenue_src_10006.created_at) AS ds__week
   , DATE_TRUNC('month', revenue_src_10006.created_at) AS ds__month
   , DATE_TRUNC('quarter', revenue_src_10006.created_at) AS ds__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(day FROM revenue_src_10006.created_at) AS ds__extract_day
   , EXTRACT(dow FROM revenue_src_10006.created_at) AS ds__extract_dow
   , EXTRACT(doy FROM revenue_src_10006.created_at) AS ds__extract_doy
-  , revenue_src_10006.created_at AS company__ds__day
+  , DATE_TRUNC('day', revenue_src_10006.created_at) AS company__ds__day
   , DATE_TRUNC('week', revenue_src_10006.created_at) AS company__ds__week
   , DATE_TRUNC('month', revenue_src_10006.created_at) AS company__ds__month
   , DATE_TRUNC('quarter', revenue_src_10006.created_at) AS company__ds__quarter

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/DuckDB/test_convert_table_semantic_model_with_measures__plan0.sql

@@ -1,7 +1,7 @@
 -- Read Elements From Semantic Model 'id_verifications'
 SELECT
   1 AS identity_verifications
-  , id_verifications_src_10003.ds AS ds__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds) AS ds__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds) AS ds__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds) AS ds__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds) AS ds__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(day FROM id_verifications_src_10003.ds) AS ds__extract_day
   , EXTRACT(dow FROM id_verifications_src_10003.ds) AS ds__extract_dow
   , EXTRACT(doy FROM id_verifications_src_10003.ds) AS ds__extract_doy
-  , id_verifications_src_10003.ds_partitioned AS ds_partitioned__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__quarter
@@ -26,7 +26,7 @@ SELECT
   , EXTRACT(dow FROM id_verifications_src_10003.ds_partitioned) AS ds_partitioned__extract_dow
   , EXTRACT(doy FROM id_verifications_src_10003.ds_partitioned) AS ds_partitioned__extract_doy
   , id_verifications_src_10003.verification_type
-  , id_verifications_src_10003.ds AS verification__ds__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds) AS verification__ds__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds) AS verification__ds__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds) AS verification__ds__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds) AS verification__ds__quarter
@@ -38,7 +38,7 @@ SELECT
   , EXTRACT(day FROM id_verifications_src_10003.ds) AS verification__ds__extract_day
   , EXTRACT(dow FROM id_verifications_src_10003.ds) AS verification__ds__extract_dow
   , EXTRACT(doy FROM id_verifications_src_10003.ds) AS verification__ds__extract_doy
-  , id_verifications_src_10003.ds_partitioned AS verification__ds_partitioned__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__quarter

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/DuckDB/test_convert_table_semantic_model_without_measures__plan0.sql

@@ -1,6 +1,6 @@
 -- Read Elements From Semantic Model 'users_latest'
 SELECT
-  users_latest_src_10008.ds AS ds_latest__day
+  DATE_TRUNC('day', users_latest_src_10008.ds) AS ds_latest__day
   , DATE_TRUNC('week', users_latest_src_10008.ds) AS ds_latest__week
   , DATE_TRUNC('month', users_latest_src_10008.ds) AS ds_latest__month
   , DATE_TRUNC('quarter', users_latest_src_10008.ds) AS ds_latest__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(dow FROM users_latest_src_10008.ds) AS ds_latest__extract_dow
   , EXTRACT(doy FROM users_latest_src_10008.ds) AS ds_latest__extract_doy
   , users_latest_src_10008.home_state_latest
-  , users_latest_src_10008.ds AS user__ds_latest__day
+  , DATE_TRUNC('day', users_latest_src_10008.ds) AS user__ds_latest__day
   , DATE_TRUNC('week', users_latest_src_10008.ds) AS user__ds_latest__week
   , DATE_TRUNC('month', users_latest_src_10008.ds) AS user__ds_latest__month
   , DATE_TRUNC('quarter', users_latest_src_10008.ds) AS user__ds_latest__quarter

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Postgres/test_convert_query_semantic_model__plan0.sql

@@ -1,7 +1,7 @@
 -- Read Elements From Semantic Model 'revenue'
 SELECT
   revenue_src_10006.revenue AS txn_revenue
-  , revenue_src_10006.created_at AS ds__day
+  , DATE_TRUNC('day', revenue_src_10006.created_at) AS ds__day
   , DATE_TRUNC('week', revenue_src_10006.created_at) AS ds__week
   , DATE_TRUNC('month', revenue_src_10006.created_at) AS ds__month
   , DATE_TRUNC('quarter', revenue_src_10006.created_at) AS ds__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(day FROM revenue_src_10006.created_at) AS ds__extract_day
   , EXTRACT(dow FROM revenue_src_10006.created_at) AS ds__extract_dow
   , EXTRACT(doy FROM revenue_src_10006.created_at) AS ds__extract_doy
-  , revenue_src_10006.created_at AS company__ds__day
+  , DATE_TRUNC('day', revenue_src_10006.created_at) AS company__ds__day
   , DATE_TRUNC('week', revenue_src_10006.created_at) AS company__ds__week
   , DATE_TRUNC('month', revenue_src_10006.created_at) AS company__ds__month
   , DATE_TRUNC('quarter', revenue_src_10006.created_at) AS company__ds__quarter

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Postgres/test_convert_table_semantic_model_with_measures__plan0.sql

@@ -1,7 +1,7 @@
 -- Read Elements From Semantic Model 'id_verifications'
 SELECT
   1 AS identity_verifications
-  , id_verifications_src_10003.ds AS ds__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds) AS ds__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds) AS ds__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds) AS ds__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds) AS ds__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(day FROM id_verifications_src_10003.ds) AS ds__extract_day
   , EXTRACT(dow FROM id_verifications_src_10003.ds) AS ds__extract_dow
   , EXTRACT(doy FROM id_verifications_src_10003.ds) AS ds__extract_doy
-  , id_verifications_src_10003.ds_partitioned AS ds_partitioned__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds_partitioned) AS ds_partitioned__quarter
@@ -26,7 +26,7 @@ SELECT
   , EXTRACT(dow FROM id_verifications_src_10003.ds_partitioned) AS ds_partitioned__extract_dow
   , EXTRACT(doy FROM id_verifications_src_10003.ds_partitioned) AS ds_partitioned__extract_doy
   , id_verifications_src_10003.verification_type
-  , id_verifications_src_10003.ds AS verification__ds__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds) AS verification__ds__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds) AS verification__ds__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds) AS verification__ds__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds) AS verification__ds__quarter
@@ -38,7 +38,7 @@ SELECT
   , EXTRACT(day FROM id_verifications_src_10003.ds) AS verification__ds__extract_day
   , EXTRACT(dow FROM id_verifications_src_10003.ds) AS verification__ds__extract_dow
   , EXTRACT(doy FROM id_verifications_src_10003.ds) AS verification__ds__extract_doy
-  , id_verifications_src_10003.ds_partitioned AS verification__ds_partitioned__day
+  , DATE_TRUNC('day', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__day
   , DATE_TRUNC('week', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__week
   , DATE_TRUNC('month', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__month
   , DATE_TRUNC('quarter', id_verifications_src_10003.ds_partitioned) AS verification__ds_partitioned__quarter

metricflow/test/snapshots/test_convert_semantic_model.py/SqlQueryPlan/Postgres/test_convert_table_semantic_model_without_measures__plan0.sql

@@ -1,6 +1,6 @@
 -- Read Elements From Semantic Model 'users_latest'
 SELECT
-  users_latest_src_10008.ds AS ds_latest__day
+  DATE_TRUNC('day', users_latest_src_10008.ds) AS ds_latest__day
   , DATE_TRUNC('week', users_latest_src_10008.ds) AS ds_latest__week
   , DATE_TRUNC('month', users_latest_src_10008.ds) AS ds_latest__month
   , DATE_TRUNC('quarter', users_latest_src_10008.ds) AS ds_latest__quarter
@@ -13,7 +13,7 @@ SELECT
   , EXTRACT(dow FROM users_latest_src_10008.ds) AS ds_latest__extract_dow
   , EXTRACT(doy FROM users_latest_src_10008.ds) AS ds_latest__extract_doy
   , users_latest_src_10008.home_state_latest
-  , users_latest_src_10008.ds AS user__ds_latest__day
+  , DATE_TRUNC('day', users_latest_src_10008.ds) AS user__ds_latest__day
   , DATE_TRUNC('week', users_latest_src_10008.ds) AS user__ds_latest__week
   , DATE_TRUNC('month', users_latest_src_10008.ds) AS user__ds_latest__month
   , DATE_TRUNC('quarter', users_latest_src_10008.ds) AS user__ds_latest__quarter