[
https://issues.apache.org/jira/browse/SPARK-47899?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Arjun Sahoo updated SPARK-47899:
--------------------------------
Description:
As part of SPARK-39195, task is marked as failed but the exception chain was
not sent, ultimately the cause becomes `null` in SparkException. It is not
convenient to find the root cause from the detailed message.
{code}
/**
* Called by the OutputCommitCoordinator to cancel stage due to data
duplication may happen.
*/
private[scheduler] def stageFailed(stageId: Int, reason: String): Unit = {
eventProcessLoop.post(StageFailed(stageId, reason, None))
}
{code}
was:As part of SPARK-39195, task is marked as failed but the exception chain
was not sent, ultimately the cause becomes `null` in SparkException.
Applications unable to get the root cause as the cause is null.
> StageFailed event should attach the exception chain
> ---------------------------------------------------
>
> Key: SPARK-47899
> URL: https://issues.apache.org/jira/browse/SPARK-47899
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.4.0
> Reporter: Arjun Sahoo
> Assignee: BingKun Pan
> Priority: Minor
>
> As part of SPARK-39195, task is marked as failed but the exception chain was
> not sent, ultimately the cause becomes `null` in SparkException. It is not
> convenient to find the root cause from the detailed message.
> {code}
> /**
> * Called by the OutputCommitCoordinator to cancel stage due to data
> duplication may happen.
> */
> private[scheduler] def stageFailed(stageId: Int, reason: String): Unit = {
> eventProcessLoop.post(StageFailed(stageId, reason, None))
> }
> {code}
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