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From "Yi Tian (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-3687) Spark hang while processing more than 100 sequence files
Date Wed, 01 Oct 2014 15:02:33 GMT

    [ https://issues.apache.org/jira/browse/SPARK-3687?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14154893#comment-14154893
] 

Yi Tian commented on SPARK-3687:
--------------------------------

yes

> 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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