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https://issues.apache.org/jira/browse/SPARK-3687?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14147465#comment-14147465
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Patrick Wendell commented on SPARK-3687:
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Can you perform a jstack on the executor when it is hanging? We usually only
post things on JIRA like this when a specific issue has been debugged a bit
more. But if you can produce a jstack of the hung executor we can keep it open
:)
> Spark hang while processing more than 100 sequence files
> --------------------------------------------------------
>
> Key: SPARK-3687
> URL: https://issues.apache.org/jira/browse/SPARK-3687
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.0.2, 1.1.0
> Reporter: Ziv Huang
>
> In my application, I read more than 100 sequence files to a JavaPairRDD,
> perform flatmap to get another JavaRDD, and then use takeOrdered to get the
> result.
> It is quite often (but not always) that the spark hangs while the executing
> some of 110th-130th tasks.
> The job can hang for several hours, maybe forever (I can't wait for its
> completion).
> When the spark job hangs, I can't find any error message in anywhere, and I
> can't kill the job from web UI.
> The current workaround is to use coalesce to reduce the number of partitions
> to be processed.
> I never get a job hanged if the number of partitions to be processed is no
> greater than 80.
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