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https://issues.apache.org/jira/browse/SPARK-3687?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14152985#comment-14152985
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Ziv Huang commented on SPARK-3687:
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I run jps on worker node when it hangs.
I see two processes: "Worker" and "CoarseGrainedExecutorBackend".
Do you mean I should print the stack of "CoarseGrainedExecutorBackend"?
> 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 120th-150th tasks.
> In 1.0.2, the job can hang for several hours, maybe forever (I can't wait for
> its completion).
> When the spark job hangs, I can't kill the job from web UI.
> In 1.1.0, the job hangs for couple mins (3.x mins actually),
> and then web UI of spark master shows that the job is finished with state
> "FAILED".
> In addition, the job stage web UI still hangs, and execution duration time is
> still accumulating.
> For both 1.0.2 and 1.1.0, the job hangs with no error messages in anywhere.
> 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 100.
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