[SPARK-53976][PYTHON] Support logging in Pandas/Arrow UDFs #52785
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ueshin
requested review from
HyukjinKwon,
allisonwang-db,
dongjoon-hyun and
zhengruifeng
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Thank you, @ueshin . |
zhengruifeng
approved these changes
Oct 30, 2025
| "spillSize" -> SQLMetrics.createSizeMetric(sparkContext, "spill size") | ||
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| private[this] val sessionUUID = { |
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nit: can we move this code into python runner so that it shares among subclasses?
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Unfortunately, no. python runner is already in executor but session is not available there. We could refactor it later, though.
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Merged to master for Apache Spark 4.1.0. Thank you, @ueshin and all. |
Yicong-Huang
pushed a commit
to Yicong-Huang/spark
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Oct 30, 2025
Supports logging in Pandas/Arrow UDFs. The basic logging infrastructure was introduced in apache#52689, and other UDF types should also support logging. Here adding support for Pandas and Arrow UDFs. Yes, the logging feature will be available in Pandas/Arrow UDFs. Added the related tests. No. Closes apache#52785 from ueshin/issues/SPARK-53976/pandas_arrow_udfs. Authored-by: Takuya Ueshin <ueshin@databricks.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
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What changes were proposed in this pull request?
Supports logging in Pandas/Arrow UDFs.
Why are the changes needed?
The basic logging infrastructure was introduced in #52689, and other UDF types should also support logging.
Here adding support for Pandas and Arrow UDFs.
Does this PR introduce any user-facing change?
Yes, the logging feature will be available in Pandas/Arrow UDFs.
How was this patch tested?
Added the related tests.
Was this patch authored or co-authored using generative AI tooling?
No.