fix

superset/models/helpers.py

@@ -1201,6 +1201,36 @@ def _get_top_groups(
 
         return or_(*groups)
 
+    def dttm_sql_literal(self, dttm: sa.DateTime, col_type: Optional[str]) -> str:
+        """Convert datetime object to a SQL expression string"""
+        sql = (
+            self.db_engine_spec.convert_dttm(col_type, dttm, db_extra=None)
+            if col_type
+            else None
+        )
+
+        if sql:
+            return sql
+
+        return f'{dttm.strftime("%Y-%m-%d %H:%M:%S.%f")}'
+
+    def get_time_filter(
+        self,
+        time_col: Dict[str, Any],
+        start_dttm: sa.DateTime,
+        end_dttm: sa.DateTime,
+    ) -> ColumnElement:
+        label = "__time"
+        col = time_col.get("column_name")
+        sqla_col = literal_column(col)
+        my_col = self.make_sqla_column_compatible(sqla_col, label)
+        l = []
+        if start_dttm:
+            l.append(my_col >= self.dttm_sql_literal(start_dttm, time_col.get("type")))
+        if end_dttm:
+            l.append(my_col < self.dttm_sql_literal(end_dttm, time_col.get("type")))
+        return and_(*l)
+
     def values_for_column(self, column_name: str, limit: int = 10000) -> List[Any]:
         """Runs query against sqla to retrieve some
         sample values for the given column.
@@ -1490,6 +1520,33 @@ def get_sqla_query(  # pylint: disable=too-many-arguments,too-many-locals,too-ma
                 select_exprs.insert(0, timestamp)
                 groupby_all_columns[timestamp.name] = timestamp
 
+            # Use main dttm column to support index with secondary dttm columns.
+            if (
+                db_engine_spec.time_secondary_columns
+                and self.main_dttm_col in self.dttm_cols
+                and self.main_dttm_col != dttm_col.column_name
+            ):
+                if isinstance(self.main_dttm_col, dict):
+                    time_filters.append(
+                        self.get_time_filter(
+                            self.main_dttm_col,
+                            from_dttm,
+                            to_dttm,
+                        )
+                    )
+                else:
+                    time_filters.append(
+                        columns_by_name[self.main_dttm_col].get_time_filter(
+                            from_dttm,
+                            to_dttm,
+                        )
+                    )
+
+            if isinstance(dttm_col, dict):
+                time_filters.append(dttm_col.get_time_filter(from_dttm, to_dttm))
+            else:
+                time_filters.append(self.get_time_filter(dttm_col, from_dttm, to_dttm))
+
         # Always remove duplicates by column name, as sometimes `metrics_exprs`
         # can have the same name as a groupby column (e.g. when users use
         # raw columns as custom SQL adhoc metric).