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fix: Support param timeout when persisting (feast-dev#3593)
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* fix: Support param timeout when persisting

Signed-off-by: Hai Nguyen <quanghai.ng1512@gmail.com>

* fix: Revert default timeout value in `to_bigquery`

Signed-off-by: Hai Nguyen <quanghai.ng1512@gmail.com>

---------

Signed-off-by: Hai Nguyen <quanghai.ng1512@gmail.com>
Signed-off-by: zerafachris PERSONAL <zerafachris@gmail.com>
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sudohainguyen authored and zerafachris committed Mar 5, 2024
1 parent 494041c commit 144aee2
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Showing 11 changed files with 70 additions and 14 deletions.
14 changes: 10 additions & 4 deletions sdk/python/feast/infra/offline_stores/bigquery.py
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand Down Expand Up @@ -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
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Original file line number Diff line number Diff line change
Expand Up @@ -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)

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Original file line number Diff line number Diff line change
Expand Up @@ -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(
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Original file line number Diff line number Diff line change
Expand Up @@ -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(
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Original file line number Diff line number Diff line change
Expand Up @@ -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.
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Original file line number Diff line number Diff line change
Expand Up @@ -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.
"""
Expand Down
7 changes: 6 additions & 1 deletion sdk/python/feast/infra/offline_stores/file.py
Original file line number Diff line number Diff line change
Expand Up @@ -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.
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7 changes: 6 additions & 1 deletion sdk/python/feast/infra/offline_stores/offline_store.py
Original file line number Diff line number Diff line change
Expand Up @@ -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.
Expand Down
7 changes: 6 additions & 1 deletion sdk/python/feast/infra/offline_stores/redshift.py
Original file line number Diff line number Diff line change
Expand Up @@ -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)

Expand Down
7 changes: 6 additions & 1 deletion sdk/python/feast/infra/offline_stores/snowflake.py
Original file line number Diff line number Diff line change
Expand Up @@ -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)

Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -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.
Expand Down

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