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https://issues.apache.org/jira/browse/SPARK-48517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Prabhu Joseph updated SPARK-48517:
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Summary: PythonWorkerFactory does not print error stream in case the daemon
fails before the main daemon.py#main() (was: PythonWorkerFactory does not
print error stream in case the daemon fails before the main daemon.py#method)
> PythonWorkerFactory does not print error stream in case the daemon fails
> before the main daemon.py#main()
> ---------------------------------------------------------------------------------------------------------
>
> Key: SPARK-48517
> URL: https://issues.apache.org/jira/browse/SPARK-48517
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.3.2
> Reporter: Prabhu Joseph
> Priority: Major
>
> PythonWorkerFactory does not print the error stream in case the daemon fails
> before calling the main daemon.py#method.
> It throws SparkException like below but does not print the error stream
> which has the failure why pyspark.daemon failed to start.
> {code:java}
> org.apache.spark.SparkException:
> 2024-05-07T16:04:53.169524256Z stderr F Bad data in pyspark.daemon's standard
> output. Invalid port number:
> 2024-05-07T16:04:53.169530703Z stderr F 1097887852 (0x4170706c){code}
> The error stream is being
> [read|[https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala#L303]]
> after throwing SparkException. It has to be captured during the exception as
> well.
>
> *Simple Repro:*
> 1. Run a sample pyspark job by setting wrong
> spark.python.daemon.module like pyspark.wrongdaemon instead of default one
> pyspark.daemon.
>
> 2. The forked python process will fail with
> {*}"{*}{*}/opt/python/3.9.2/bin/python: No module named
> pyspark.wrongdaemon"{*} but it is not captured by PythonWorkerFactory.
>
>
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