feat: Get Snowflake Query Output As Pyspark Dataframe (feast-dev#2504)

1. Added feature to offline_store-> snowflake.py to return results of snowflake query as pyspark data frame.This helps spark-based users to distribute data, which often doesn't fit in driver nodes through pandas output.

2. Also added relevant error class, to notify user on missing spark session , particular to this usecase.

Signed-off-by: amithadiraju1694 <[email protected]>

sdk/python/feast/errors.py

@@ -56,6 +56,14 @@ def __init__(self, name, project=None):
             super().__init__(f"Feature view {name} does not exist")
 
 
+class InvalidSparkSessionException(Exception):
+    def __init__(self, spark_arg):
+        super().__init__(
+            f" Need Spark Session to convert results to spark data frame\
+               recieved {type(spark_arg)} instead. "
+        )
+
+
 class OnDemandFeatureViewNotFoundException(FeastObjectNotFoundException):
     def __init__(self, name, project=None):
         if project:

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

@@ -1,7 +1,9 @@
 import contextlib
 import os
 import uuid
+import warnings
 from datetime import datetime
+from functools import reduce
 from pathlib import Path
 from typing import (
     Any,
@@ -21,11 +23,16 @@
 import pyarrow
 from pydantic import Field, StrictStr
 from pydantic.typing import Literal
+from pyspark.sql import DataFrame, SparkSession
 from pytz import utc
 
 from feast import OnDemandFeatureView
 from feast.data_source import DataSource
-from feast.errors import EntitySQLEmptyResults, InvalidEntityType
+from feast.errors import (
+    EntitySQLEmptyResults,
+    InvalidEntityType,
+    InvalidSparkSessionException,
+)
 from feast.feature_logging import LoggingConfig, LoggingSource
 from feast.feature_view import DUMMY_ENTITY_ID, DUMMY_ENTITY_VAL, FeatureView
 from feast.infra.offline_stores import offline_utils
@@ -57,6 +64,8 @@
 
     raise FeastExtrasDependencyImportError("snowflake", str(e))
 
+warnings.filterwarnings("ignore", category=DeprecationWarning)
+
 
 class SnowflakeOfflineStoreConfig(FeastConfigBaseModel):
     """Offline store config for Snowflake"""
@@ -447,6 +456,41 @@ def to_sql(self) -> str:
         with self._query_generator() as query:
             return query
 
+    def to_spark_df(self, spark_session: SparkSession) -> DataFrame:
+        """
+        Method to convert snowflake query results to pyspark data frame.
+
+        Args:
+            spark_session: spark Session variable of current environment.
+
+        Returns:
+            spark_df: A pyspark dataframe.
+        """
+
+        if isinstance(spark_session, SparkSession):
+            with self._query_generator() as query:
+
+                arrow_batches = execute_snowflake_statement(
+                    self.snowflake_conn, query
+                ).fetch_arrow_batches()
+
+                if arrow_batches:
+                    spark_df = reduce(
+                        DataFrame.unionAll,
+                        [
+                            spark_session.createDataFrame(batch.to_pandas())
+                            for batch in arrow_batches
+                        ],
+                    )
+
+                    return spark_df
+
+                else:
+                    raise EntitySQLEmptyResults(query)
+
+        else:
+            raise InvalidSparkSessionException(spark_session)
+
     def persist(self, storage: SavedDatasetStorage, allow_overwrite: bool = False):
         assert isinstance(storage, SavedDatasetSnowflakeStorage)
         self.to_snowflake(table_name=storage.snowflake_options.table)