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https://issues.apache.org/jira/browse/SPARK-60117?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lisa Cao updated SPARK-60117:
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Summary: Install PyArrow in PySpark Docker image (was: Install PyArrow in
PySpark K8s Dockerfile)
> Install PyArrow in PySpark Docker image
> ---------------------------------------
>
> Key: SPARK-60117
> URL: https://issues.apache.org/jira/browse/SPARK-60117
> Project: Spark
> Issue Type: Bug
> Components: Kubernetes
> Affects Versions: 4.2.0
> Reporter: Lisa Cao
> Priority: Major
>
> Since 4.2.0, regular Python UDFs are Arrow-optimized by default
> (SPARK-54555), but the PySpark K8s image only installs python3 and
> python3-pip, so a plain {{@udf}} fails on it:
> {noformat}
> ModuleNotFoundError: No module named 'pyarrow'
> {noformat}
> Installing {{pyarrow>=18.0.0}} fixes it for about 160 MB. I left pandas out
> since only pandas UDFs need it. Tested by building master's Dockerfiles over
> the 4.3.0-rc1 distribution and running UDFs through Spark Connect.
> PR: https://github.com/apache/spark/pull/59280 (first raised in
> apache/spark-docker#137)
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