codeant-ai-for-open-source[bot] commented on code in PR #44627:
URL: https://github.com/apache/superset/pull/44627#discussion_r4099942583


##########
superset/db_engine_specs/databricks.py:
##########
@@ -246,6 +248,17 @@ class DatabricksBaseEngineSpec(BaseEngineSpec):
     identifier_quote_start: str = "`"
     identifier_quote_end: str = "`"
 
+    # Databricks SQL documents native MEDIAN/STDDEV_SAMP/VAR_SAMP aggregate
+    # functions (docs.databricks.com/aws/en/sql/language-manual/functions/
+    # {median,stddev_samp,var_samp}), confirmed against that reference, not a
+    # live Databricks instance. All three are plain function calls, same
+    # spelling as Postgres/DuckDB, so no dialect-specific rewriting is needed.
+    _extended_aggregations: dict[str, Callable[[ColumnElement], 
ColumnElement]] = {
+        "MEDIAN": sa.func.median,
+        "STDDEV_SAMP": sa.func.stddev_samp,
+        "VAR_SAMP": sa.func.var_samp,
+    }

Review Comment:
   ✅ **Customized review instruction saved!**
   
   **Instruction:**
   > For Databricks aggregate support, documentation verification is 
sufficient; do not require live-engine verification before enabling documented 
native functions.
   
   **Applied to:**
     - `superset/db_engine_specs/databricks.py`
   
   ---
   💡 *To manage or update this instruction, visit: [CodeAnt AI 
Settings](https://app.codeant.ai/org/settings/learnings)*



##########
superset/db_engine_specs/databricks.py:
##########
@@ -986,6 +999,16 @@ class DatabricksHiveEngineSpec(HiveEngineSpec):
 
     _time_grain_expressions = time_grain_expressions
 
+    # Interactive Clusters run Spark SQL, same as the primary Databricks
+    # connector above; same native MEDIAN/STDDEV_SAMP/VAR_SAMP functions
+    # apply here rather than the inherited (unimplemented) HiveEngineSpec/
+    # PrestoEngineSpec default.
+    _extended_aggregations: dict[str, Callable[[ColumnElement], 
ColumnElement]] = {
+        "MEDIAN": sa.func.median,
+        "STDDEV_SAMP": sa.func.stddev_samp,
+        "VAR_SAMP": sa.func.var_samp,
+    }

Review Comment:
   ✅ **Customized review instruction saved!**
   
   **Instruction:**
   > For Databricks Interactive Cluster specs, rely on documented Spark SQL 
aggregate support even without live-cluster verification; retain explicit 
functions so unsupported cases fail clearly rather than falling back to 
unimplemented defaults.
   
   **Applied to:**
     - `superset/db_engine_specs/databricks.py`
   
   ---
   💡 *To manage or update this instruction, visit: [CodeAnt AI 
Settings](https://app.codeant.ai/org/settings/learnings)*



##########
superset/db_engine_specs/snowflake.py:
##########
@@ -142,10 +143,19 @@ class SnowflakeEngineSpec(PostgresBaseEngineSpec):
     force_column_alias_quotes = True
     max_column_name_length = 256
 
-    # `PostgresBaseEngineSpec._extended_aggregations` 
(MEDIAN/STDDEV_SAMP/VAR_SAMP)
-    # is verified against real Postgres behavior, not Snowflake's; disable it 
here
-    # until someone confirms the same expressions against a live Snowflake 
instance.
-    _extended_aggregations: dict[str, Callable[[ColumnElement], 
ColumnElement]] = {}
+    # Snowflake documents native MEDIAN/STDDEV_SAMP/VAR_SAMP aggregate 
functions
+    # 
(docs.snowflake.com/en/sql-reference/functions/{median,stddev_samp,var_samp}),
+    # confirmed against that reference, not a live Snowflake instance. 
STDDEV_SAMP/
+    # VAR_SAMP are plain function calls, same spelling as inherited from
+    # `PostgresBaseEngineSpec`, so those are reused directly. MEDIAN is 
overridden:
+    # Snowflake's own `MEDIAN(x)` is a plain function call, unlike Postgres's
+    # `percentile_cont(0.5) WITHIN GROUP (ORDER BY x)` (Postgres has no native
+    # MEDIAN), so there is no reason to compile the more complex inherited 
form.
+    _extended_aggregations: dict[str, Callable[[ColumnElement], 
ColumnElement]] = {
+        "MEDIAN": sa.func.median,
+        "STDDEV_SAMP": 
PostgresBaseEngineSpec._extended_aggregations["STDDEV_SAMP"],
+        "VAR_SAMP": PostgresBaseEngineSpec._extended_aggregations["VAR_SAMP"],
+    }

Review Comment:
   ✅ **Customized review instruction saved!**
   
   **Instruction:**
   > Allow Snowflake aggregate support to be enabled based on verification 
against Snowflake's official function reference; do not require live-instance 
verification for this engine spec.
   
   **Applied to:**
     - `superset/db_engine_specs/snowflake.py`
   
   ---
   💡 *To manage or update this instruction, visit: [CodeAnt AI 
Settings](https://app.codeant.ai/org/settings/learnings)*



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