anishshri-db commented on code in PR #49560:
URL: https://github.com/apache/spark/pull/49560#discussion_r1943581472
##########
python/pyspark/sql/connect/group.py:
##########
@@ -361,6 +362,63 @@ def applyInPandasWithState(
applyInPandasWithState.__doc__ =
PySparkGroupedData.applyInPandasWithState.__doc__
+ def transformWithStateInPandas(
+ self,
+ statefulProcessor: StatefulProcessor,
+ outputStructType: Union[StructType, str],
+ outputMode: str,
+ timeMode: str,
+ initialState: Optional["GroupedData"] = None,
+ eventTimeColumnName: str = "",
+ ) -> "DataFrame":
+ from pyspark.sql.connect.udf import UserDefinedFunction
+ from pyspark.sql.connect.dataframe import DataFrame
+ from pyspark.sql.streaming.stateful_processor_util import
TransformWithStateInPandasUdfUtils
+
+ udf_util = TransformWithStateInPandasUdfUtils(statefulProcessor,
timeMode)
+ if initialState is None:
+ udf_obj = UserDefinedFunction(
+ udf_util.transformWithStateUDF,
+ returnType=outputStructType,
+ evalType=PythonEvalType.SQL_TRANSFORM_WITH_STATE_PANDAS_UDF,
+ )
+ initial_state_plan = None
+ initial_state_grouping_cols = None
+
Review Comment:
nit: do we need newline here ?
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