Add sql_hook_params parameter to SqlToS3Operator (#33425)

Adding `sql_hook_params` parameter to `SqlToS3Operator`. This will allow you to pass extra config params to the underlying SQL hook.

airflow/providers/amazon/aws/transfers/sql_to_s3.py

@@ -65,6 +65,8 @@ class SqlToS3Operator(BaseOperator):
     :param s3_key: desired key for the file. It includes the name of the file. (templated)
     :param replace: whether or not to replace the file in S3 if it previously existed
     :param sql_conn_id: reference to a specific database.
+    :param sql_hook_params: Extra config params to be passed to the underlying hook.
+        Should match the desired hook constructor params.
     :param parameters: (optional) the parameters to render the SQL query with.
     :param aws_conn_id: reference to a specific S3 connection
     :param verify: Whether or not to verify SSL certificates for S3 connection.
@@ -100,6 +102,7 @@ def __init__(
         s3_bucket: str,
         s3_key: str,
         sql_conn_id: str,
+        sql_hook_params: dict | None = None,
         parameters: None | Mapping | Iterable = None,
         replace: bool = False,
         aws_conn_id: str = "aws_default",
@@ -120,6 +123,7 @@ def __init__(
         self.pd_kwargs = pd_kwargs or {}
         self.parameters = parameters
         self.groupby_kwargs = groupby_kwargs or {}
+        self.sql_hook_params = sql_hook_params
 
         if "path_or_buf" in self.pd_kwargs:
             raise AirflowException("The argument path_or_buf is not allowed, please remove it")
@@ -200,7 +204,7 @@ def _partition_dataframe(self, df: DataFrame) -> Iterable[tuple[str, DataFrame]]
     def _get_hook(self) -> DbApiHook:
         self.log.debug("Get connection for %s", self.sql_conn_id)
         conn = BaseHook.get_connection(self.sql_conn_id)
-        hook = conn.get_hook()
+        hook = conn.get_hook(hook_params=self.sql_hook_params)
         if not callable(getattr(hook, "get_pandas_df", None)):
             raise AirflowException(
                 "This hook is not supported. The hook class must have get_pandas_df method."

tests/providers/amazon/aws/transfers/test_sql_to_s3.py

@@ -24,6 +24,7 @@
 import pytest
 
 from airflow.exceptions import AirflowException
+from airflow.models import Connection
 from airflow.providers.amazon.aws.transfers.sql_to_s3 import SqlToS3Operator
 
 
@@ -269,3 +270,20 @@ def test_without_groupby_kwarg(self):
                 }
             )
         )
+
+    @mock.patch("airflow.providers.common.sql.operators.sql.BaseHook.get_connection")
+    def test_hook_params(self, mock_get_conn):
+        mock_get_conn.return_value = Connection(conn_id="postgres_test", conn_type="postgres")
+        op = SqlToS3Operator(
+            query="query",
+            s3_bucket="bucket",
+            s3_key="key",
+            sql_conn_id="postgres_test",
+            task_id="task_id",
+            sql_hook_params={
+                "log_sql": False,
+            },
+            dag=None,
+        )
+        hook = op._get_hook()
+        assert hook.log_sql == op.sql_hook_params["log_sql"]