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Posted to reviews@spark.apache.org by "Yicong-Huang (via GitHub)" <gi...@apache.org> on 2026/07/08 08:14:17 UTC
[PR] [PYTHON][BENCHMARKS] Add Arrow Python UDF type benchmarks [spark]
Yicong-Huang opened a new pull request, #57118:
URL: https://github.com/apache/spark/pull/57118
### What changes were proposed in this pull request?
This PR adds ASV benchmarks for end-to-end regular Python UDF execution across Pickle and Arrow paths.
The new benchmark covers scalar Spark SQL types, timestamp, common nested types, and a scalar end-to-end workload variant with multiple UDF outputs and light per-row Python work. It also uses row counts from 100K to 6.4M so benchmark runs can show scaling behavior across input sizes.
### Why are the changes needed?
Existing Arrow conversion benchmarks isolate lower-level conversion costs, but they do not show full regular Python UDF query cost across input generation, Python worker execution, Arrow/Pickle transfer, UDF evaluation, result conversion, and writing to a noop sink. These benchmarks make it easier to compare Arrow-optimized Python UDF behavior against the pickled path for scalar and nested data types.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
- Ran Python formatting and Ruff through the pre-commit hook.
- Ran Python compilation for the new benchmark file:
```bash
/Users/yicong.huang/Repos/spark/venv/bin/python -m py_compile python/benchmarks/bench_arrow_python_udf_types.py
```
- Ran a smoke test that imported the benchmark and executed small Arrow UDF scalar and nested cases locally with 1,000 rows.
### Was this patch authored or co-authored using generative AI tooling?
Generated-by: OpenAI Codex
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Re: [PR] [PYTHON][BENCHMARKS] Add Arrow Python UDF type benchmarks [spark]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #57118:
URL: https://github.com/apache/spark/pull/57118#issuecomment-6227447852
We're closing this PR because it hasn't been updated in a while. This isn't a judgement on the merit of the PR in any way. It's just a way of keeping the PR queue manageable.
If you'd like to revive this PR, please reopen it and ask a committer to remove the Stale tag!
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Re: [PR] [PYTHON][BENCHMARKS] Add Arrow Python UDF type benchmarks [spark]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] closed pull request #57118: [PYTHON][BENCHMARKS] Add Arrow Python UDF type benchmarks
URL: https://github.com/apache/spark/pull/57118
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