Yicong-Huang opened a new pull request, #56442: URL: https://github.com/apache/spark/pull/56442
### What changes were proposed in this pull request? Refactor `SQL_WINDOW_AGG_PANDAS_UDF` to be self-contained in `read_udfs()`, moving bounded/unbounded window logic from wrapper functions and the old mapper into a single execution block that uses `ArrowStreamGroupSerializer` as pure I/O. The Arrow-to-pandas conversion (previously in `ArrowStreamAggPandasUDFSerializer.load_stream`) and the pandas-to-Arrow conversion (previously in the inherited `dump_stream`) now happen directly in the execution block via `ArrowBatchTransformer.to_pandas` and `PandasToArrowConversion.convert`. The wrapper functions `wrap_window_agg_pandas_udf`, `wrap_unbounded_window_agg_pandas_udf` and `wrap_bounded_window_agg_pandas_udf` are removed. `ArrowStreamAggPandasUDFSerializer` is now only used by `SQL_GROUPED_AGG_PANDAS_ITER_UDF`. This follows the same pattern as #55153 (`SQL_WINDOW_AGG_ARROW_UDF`). ### Why are the changes needed? Part of [SPARK-55388](https://issues.apache.org/jira/browse/SPARK-55388). ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Existing tests. No behavior change. ASV micro-benchmark comparison (`WindowAggPandasUDFTimeBench`, 3 runs each on master vs this branch, averaged): ```text scenario udf before (ms) after (ms) diff (%) few_groups_sm sum 56.0 46.9 -16.3% few_groups_sm mean_multi 61.7 52.0 -15.8% few_groups_lg sum 113.7 99.1 -12.8% few_groups_lg mean_multi 121.7 107.0 -12.0% many_groups_sm sum 2043.3 1663.3 -18.6% many_groups_sm mean_multi 2350.0 1873.3 -20.3% many_groups_lg sum 601.3 474.7 -21.1% many_groups_lg mean_multi 654.0 533.7 -18.4% wide_cols sum 574.7 476.0 -17.2% wide_cols mean_multi 562.0 477.7 -15.0% ``` Peak memory (`WindowAggPandasUDFPeakmemBench`): no change (87M-228M for all scenarios, before == after within noise). ### Was this patch authored or co-authored using generative AI tooling? No. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
