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[SPARK-56248][PYTHON][SS] Optimize python stateful processor serialization to skip unnecessary list/dict/row construction. #55039

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[SPARK-56248][PYTHON][SS] Optimize python stateful processor serialization to skip unnecessary list/dict/row construction. #55039

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Optimize python stateful processor serialization to skip unnecessary …
jiateoh Mar 25, 2026
8a3bb7d
Change Schema.toInternal serializer input to consistent tuple type fo…
jiateoh Mar 31, 2026
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9 changes: 3 additions & 6 deletions python/pyspark/sql/streaming/stateful_processor_api_client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -516,14 +516,11 @@ def normalize_value(v: Any) -> Any:
else:
return v

converted = [normalize_value(v) for v in data]
converted = tuple(normalize_value(v) for v in data)
else:
converted = list(data)
converted = data

field_names = [f.name for f in schema.fields]
row_value = Row(**dict(zip(field_names, converted)))
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@jiateoh jiateoh Mar 26, 2026 •
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PR Description contains explanation/breakdown of why this is safe: TLDR is that the inputs to Schema.toInternal before/after this change are a tuple/list that is positionally ordered based on the input data.


return self.pickleSer.dumps(schema.toInternal(row_value))
return self.pickleSer.dumps(schema.toInternal(converted))

def _deserialize_from_bytes(self, value: bytes) -> Any:
return self.pickleSer.loads(value)
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