bogao007 commented on code in PR #49277:
URL: https://github.com/apache/spark/pull/49277#discussion_r1918936950
##########
python/pyspark/sql/tests/pandas/test_pandas_transform_with_state.py:
##########
@@ -1698,6 +1876,173 @@ def init(self, handle: StatefulProcessorHandle) -> None:
self.list_state = handle.getListState("listState", key_schema)
+class BasicProcessor(StatefulProcessor):
+ # Schema definitions
+ state_schema = StructType(
+ [StructField("id", IntegerType(), True), StructField("name",
StringType(), True)]
+ )
+
+ def init(self, handle):
+
+ self.state = handle.getValueState("state", self.state_schema)
+
+ def handleInputRows(self, key, rows, timer_values) ->
Iterator[pd.DataFrame]:
+ for pdf in rows:
Review Comment:
> @bogao007 Do we break the inputs of the same key into multiple Arrow
batches like we do with applyInPandasWithState? I roughly remember we do, but
to double confirm.
@HeartSaVioR Yes we do break large input into multiple Arrow batches, same
as what we do in applyInPandasWithState.
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