Yicong-Huang opened a new pull request, #55222: URL: https://github.com/apache/spark/pull/55222
### What changes were proposed in this pull request? Refactor `SQL_GROUPED_MAP_ARROW_UDF` and `SQL_GROUPED_MAP_ARROW_ITER_UDF` to be self-contained in `read_udfs()`, following the same pattern established by SPARK-56123 (grouped agg arrow) and SPARK-56189 (window agg arrow). Key changes: - **Remove wrapper functions** `wrap_grouped_map_arrow_udf` and `wrap_grouped_map_arrow_iter_udf` from the module-level scope - **Remove `ArrowStreamGroupUDFSerializer` usage** - these eval types now use `ArrowStreamGroupSerializer` (pure I/O) like other grouped arrow eval types - **Move all processing logic into `read_udfs()`** - flatten struct, extract key/value columns, call UDF, verify output, reorder columns, and wrap struct are all handled in the self-contained `grouped_func` - **Move `extract_key_value_indexes`** earlier in `read_udfs()` so it is available to both arrow and pandas grouped eval types - **Pass `(func, args_offsets, return_type, num_udf_args)` from `read_single_udf`** instead of a pre-wrapped function, consistent with other refactored eval types ### Why are the changes needed? Part of SPARK-55388 (Refactor PythonEvalType processing logic). Making each eval type self-contained in `read_udfs()` improves readability and makes it easier to reason about the data flow for each eval type independently. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Existing tests. No behavior change. ### 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]
