[SPARK-XXXXX][PYTHON] Standardize PySpark row count mismatch error class to use RESULT_ROWS_MISMATCH#57204
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…ass to use RESULT_ROWS_MISMATCH
…SULT_ROWS_MISMATCH error class
… RESULT_ROWS_MISMATCH
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What changes were proposed in this pull request?
This PR resolves a TODO in
python/pyspark/worker.pyto standardize row count mismatch error reporting by using the unifiedRESULT_ROWS_MISMATCHerror class instead of the legacySCHEMA_MISMATCH_FOR_PANDAS_UDFclass.Why are the changes needed?
Previously, PySpark raised a custom
SCHEMA_MISMATCH_FOR_PANDAS_UDFerror class during UDF row count mismatches. Standardizing this error class toRESULT_ROWS_MISMATCHmakes error codes and message patterns uniform across PySpark.Does this PR introduce any user-facing change?
Yes, the error class raised on a Pandas/Arrow UDF row count mismatch changes from
SCHEMA_MISMATCH_FOR_PANDAS_UDFtoRESULT_ROWS_MISMATCH.How was this patch tested?
Result: Passed successfully.