zhengruifeng opened a new pull request, #58162:
URL: https://github.com/apache/spark/pull/58162
### What changes were proposed in this pull request?
This PR retries the `python_worker_logs()` assertion in
`test_udf_with_pyspark_logger`.
The UDF result assertion still runs once. Only the follow-up read from the
Python
worker log TVF is retried, using the existing `eventually` helper.
### Why are the changes needed?
The log assertion can be flaky when a Python worker log row is not visible at
the moment the test reads `python_worker_logs()`. Retrying the log-table
assertion keeps the expected rows unchanged while tolerating delayed log
visibility.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Not run.
Checked locally:
```
git diff --check
awk 'length>100 && $0 !~ /^[[:space:]]*(import|package) / && $0 !~
/https?:\/\// {print FILENAME":"FNR": "length" chars"}'
python/pyspark/sql/tests/test_udf.py
```
### Was this patch authored or co-authored using generative AI tooling?
Generated-by: Codex (GPT-5)
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