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https://issues.apache.org/jira/browse/SPARK-27992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-27992:
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Environment: (was: Both SPARK-27805 and SPARK-27548 identified an issue
that errors in a Spark job are not propagated to Python. This is because
toLocalIterator() and toPandas() with Arrow enabled run Spark jobs
asynchronously in a background thread, after creating the socket connection
info. The fix for these was to catch a SparkException if the job errored and
then send the exception through the pyspark serializer.
A better fix would be to allow Python to synchronize on the serving thread
future. That way if the serving thread throws an exception, it will be
propagated on the synchronization call.)
> PySpark socket server should sync with JVM connection thread future
> -------------------------------------------------------------------
>
> Key: SPARK-27992
> URL: https://issues.apache.org/jira/browse/SPARK-27992
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 2.4.3
> Reporter: Bryan Cutler
> Priority: Major
>
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