fix: Support param timeout when persisting

sdk/python/feast/infra/offline_stores/bigquery.py

@@ -456,8 +456,8 @@ def to_sql(self) -> str:
     def to_bigquery(
         self,
         job_config: Optional[bigquery.QueryJobConfig] = None,
-        timeout: int = 1800,
-        retry_cadence: int = 10,
+        timeout: Optional[int] = 1800,
+        retry_cadence: Optional[int] = 10,
     ) -> str:
         """
         Synchronously executes the underlying query and exports the result to a BigQuery table. The
@@ -530,11 +530,17 @@ def _execute_query(
         block_until_done(client=self.client, bq_job=bq_job, timeout=timeout or 1800)
         return bq_job
 
-    def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: Optional[bool] = False,
+        timeout: Optional[int] = None,
+    ):
         assert isinstance(storage, SavedDatasetBigQueryStorage)
 
         self.to_bigquery(
-            bigquery.QueryJobConfig(destination=storage.bigquery_options.table)
+            bigquery.QueryJobConfig(destination=storage.bigquery_options.table),
+            timeout=timeout,
         )
 
     @property

sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/athena.py

@@ -412,7 +412,12 @@ def _to_arrow_internal(self, timeout: Optional[int] = None) -> pa.Table:
     def metadata(self) -> Optional[RetrievalMetadata]:
         return self._metadata
 
-    def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: Optional[bool] = False,
+        timeout: Optional[int] = None,
+    ):
         assert isinstance(storage, SavedDatasetAthenaStorage)
         self.to_athena(table_name=storage.athena_options.table)
 

sdk/python/feast/infra/offline_stores/contrib/mssql_offline_store/mssql.py

@@ -356,7 +356,12 @@ def _to_arrow_internal(self, timeout: Optional[int] = None) -> pyarrow.Table:
 
     ## Implements persist in Feast 0.18 - This persists to filestorage
     ## ToDo: Persist to Azure Storage
-    def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: Optional[bool] = False,
+        timeout: Optional[int] = None,
+    ):
         assert isinstance(storage, SavedDatasetFileStorage)
 
         filesystem, path = FileSource.create_filesystem_and_path(

sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py

@@ -302,7 +302,12 @@ def _to_arrow_internal(self, timeout: Optional[int] = None) -> pa.Table:
     def metadata(self) -> Optional[RetrievalMetadata]:
         return self._metadata
 
-    def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: Optional[bool] = False,
+        timeout: Optional[int] = None,
+    ):
         assert isinstance(storage, SavedDatasetPostgreSQLStorage)
 
         df_to_postgres_table(

sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py

@@ -344,7 +344,12 @@ def _to_arrow_internal(self, timeout: Optional[int] = None) -> pyarrow.Table:
         """Return dataset as pyarrow Table synchronously"""
         return pyarrow.Table.from_pandas(self._to_df_internal(timeout=timeout))
 
-    def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: Optional[bool] = False,
+        timeout: Optional[int] = None,
+    ):
         """
         Run the retrieval and persist the results in the same offline store used for read.
         Please note the persisting is done only within the scope of the spark session.

sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino.py

@@ -126,7 +126,12 @@ def to_trino(
         self._client.execute_query(query_text=query)
         return destination_table
 
-    def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: Optional[bool] = False,
+        timeout: Optional[int] = None,
+    ):
         """
         Run the retrieval and persist the results in the same offline store used for read.
         """

sdk/python/feast/infra/offline_stores/file.py

@@ -88,7 +88,12 @@ def _to_arrow_internal(self, timeout: Optional[int] = None):
         df = self.evaluation_function().compute()
         return pyarrow.Table.from_pandas(df)
 
-    def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: Optional[bool] = False,
+        timeout: Optional[int] = None,
+    ):
         assert isinstance(storage, SavedDatasetFileStorage)
 
         # Check if the specified location already exists.

sdk/python/feast/infra/offline_stores/offline_store.py

@@ -189,7 +189,12 @@ def on_demand_feature_views(self) -> List[OnDemandFeatureView]:
         pass
 
     @abstractmethod
-    def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: bool = False,
+        timeout: Optional[int] = None,
+    ):
         """
         Synchronously executes the underlying query and persists the result in the same offline store
         at the specified destination.

sdk/python/feast/infra/offline_stores/redshift.py

@@ -476,7 +476,12 @@ def to_redshift(self, table_name: str) -> None:
                 query,
             )
 
-    def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: Optional[bool] = False,
+        timeout: Optional[int] = None,
+    ):
         assert isinstance(storage, SavedDatasetRedshiftStorage)
         self.to_redshift(table_name=storage.redshift_options.table)
 

sdk/python/feast/infra/offline_stores/snowflake.py

@@ -531,7 +531,12 @@ def to_spark_df(self, spark_session: "SparkSession") -> "DataFrame":
         else:
             raise InvalidSparkSessionException(spark_session)
 
-    def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: Optional[bool] = False,
+        timeout: Optional[int] = None,
+    ):
         assert isinstance(storage, SavedDatasetSnowflakeStorage)
         self.to_snowflake(table_name=storage.snowflake_options.table)
 

sdk/python/tests/unit/infra/offline_stores/test_offline_store.py

@@ -67,7 +67,12 @@ def on_demand_feature_views(self) -> List[OnDemandFeatureView]:
         """Returns a list containing all the on demand feature views to be handled."""
         pass
 
-    def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: bool = False,
+        timeout: Optional[int] = None,
+    ):
         """
         Synchronously executes the underlying query and persists the result in the same offline store
         at the specified destination.