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[SPARK-60211][PYTHON][4.1] Fix applyInPandasWithState failure with PyArrow 26 due to float slice offsets #59423

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[SPARK-60211][PYTHON][4.1] Fix applyInPandasWithState failure with PyArrow 26 due to float slice offsets #59423

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7 changes: 5 additions & 2 deletions python/pyspark/sql/pandas/serializers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1573,8 +1573,11 @@ def gen_data_and_state(batches):
# no more data with grouping key + state
break

data_start_offset = state_info_col["startOffset"]
num_data_rows = state_info_col["numRows"]
# The int fields of the state struct are converted to float when the batch
# contains padding (null) state rows. PyArrow >= 26 rejects float offsets
# in slice(), so convert them back to int.
data_start_offset = int(state_info_col["startOffset"])
num_data_rows = int(state_info_col["numRows"])
is_last_chunk = state_info_col["isLastChunk"]

if state_for_current_group:
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