[SPARK-54901][Python] Selective column conversion for scalar pandas UDFs #53674
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JIRA Issue Information=== Improvement SPARK-54901 === This comment was automatically generated by GitHub Actions |
fangchenli
changed the title
zhengruifeng
reviewed
Jan 5, 2026
Author
|
Closing since this optimization is not necessary. |
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What changes were proposed in this pull request?
Only convert Arrow columns that are actually used by the scalar pandas UDF(s).
Why are the changes needed?
When executing a scalar Pandas UDF, PySpark currently converts all Arrow columns to Pandas Series, even if the UDF only uses a subset of columns. This is wasteful when working with wide DataFrames, where the UDF needs only a few columns.
Does this PR introduce any user-facing change?
No
How was this patch tested?
Unit tests included.
Was this patch authored or co-authored using generative AI tooling?
Generated-by: Claude Opus 4.5