WweiL commented on code in PR #40736:
URL: https://github.com/apache/spark/pull/40736#discussion_r1163158951


##########
python/pyspark/sql/connect/proto/catalog_pb2.pyi:
##########
@@ -50,6 +50,7 @@ else:
 
 DESCRIPTOR: google.protobuf.descriptor.FileDescriptor
 
+@typing_extensions.final

Review Comment:
   Any idea why these are added?



##########
python/pyspark/sql/connect/group.py:
##########
@@ -262,8 +264,44 @@ def applyInPandas(
 
     applyInPandas.__doc__ = PySparkGroupedData.applyInPandas.__doc__
 
-    def applyInPandasWithState(self, *args: Any, **kwargs: Any) -> None:
-        raise NotImplementedError("applyInPandasWithState() is not 
implemented.")
+    def applyInPandasWithState(
+            self,
+            func: "PandasGroupedMapFunctionWithState",
+            outputStructType: Union[StructType, str],

Review Comment:
   I see that other part of the code use quoted types, i.e. 
`Union["StructType", str]`. Maybe we should also do that for code consistency? 
   Also doing that seems to [help with forward 
consistency](https://stackoverflow.com/questions/46458470/should-you-put-quotes-around-type-annotations-in-python)



##########
python/pyspark/sql/connect/group.py:
##########
@@ -262,8 +264,44 @@ def applyInPandas(
 
     applyInPandas.__doc__ = PySparkGroupedData.applyInPandas.__doc__
 
-    def applyInPandasWithState(self, *args: Any, **kwargs: Any) -> None:
-        raise NotImplementedError("applyInPandasWithState() is not 
implemented.")
+    def applyInPandasWithState(
+            self,
+            func: "PandasGroupedMapFunctionWithState",
+            outputStructType: Union[StructType, str],
+            stateStructType: Union[StructType, str],
+            outputMode: str,
+            timeoutConf: str
+    ) -> "DataFrame":
+        from pyspark.sql.connect.udf import UserDefinedFunction
+        from pyspark.sql.connect.dataframe import DataFrame
+
+        udf_obj = UserDefinedFunction(
+            func,
+            returnType=outputStructType,
+            evalType=PythonEvalType.SQL_GROUPED_MAP_PANDAS_UDF_WITH_STATE,
+        )
+
+        output_schema: str = outputStructType.json() if 
isinstance(outputStructType, StructType)\

Review Comment:
   I'm not very sure if we could do like this? In `UserDefinedFunction` above 
the `returnRype` is of the same type, and it handles it differently 
   
https://github.com/apache/spark/blob/007a42b8511b005aabdf45955e504d1f71eb1d25/python/pyspark/sql/connect/udf.py#L101
   and then
   
https://github.com/apache/spark/blob/007a42b8511b005aabdf45955e504d1f71eb1d25/python/pyspark/sql/connect/expressions.py#L595-L598
   Should we also follow this pattern? 
   
   Maybe @ueshin has more context?



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