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https://issues.apache.org/jira/browse/SPARK-39752?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17600543#comment-17600543
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Iqbal Singh commented on SPARK-39752:
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[~sshukla05] , Could you please provide the stack trace for the issue or a way
to reproduce the error.
> Spark job failed with 10M rows data with Broken pipe error
> ----------------------------------------------------------
>
> Key: SPARK-39752
> URL: https://issues.apache.org/jira/browse/SPARK-39752
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Spark Core
> Affects Versions: 3.0.3, 3.2.1
> Reporter: SHOBHIT SHUKLA
> Priority: Major
> Fix For: 3.0.2
>
>
> Spark job failed with 10M rows data with Broken pipe error. Same spark job
> was working previously with the settings "executor_cores": 1,
> "executor_memory": 1, "driver_cores": 1, "driver_memory": 1. where as the
> same job is failing with spark settings in 3.0.3 and 3.2.1.
> Major symptoms (slowness, timeout, out of memory as examples): Spark job is
> failing with the error java.net.SocketException: Broken pipe (Write failed)
> Here are the spark settings information which is working on Spark 3.0.3 and
> 3.2.1 : "executor_cores": 4, "executor_memory": 4, "driver_cores": 4,
> "driver_memory": 4.. The spark job doesn't consistently works with the above
> settings. Some times, need to increase the cores and memory.
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