[jira] [Updated] (SPARK-3583) Spark run slow after unexpected repartition

["ShiShu (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-3583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ShiShu updated SPARK-3583:
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    Attachment: spark_q_006.jpg
                spark_q_005.jpg
                spark_q_004.jpg
                spark_q_001.jpg

these are the screenshots I take.

> Spark run slow after unexpected repartition
> -------------------------------------------
>
>                 Key: SPARK-3583
>                 URL: https://issues.apache.org/jira/browse/SPARK-3583
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 0.9.1
>            Reporter: ShiShu
>              Labels: easyfix
>         Attachments: spark_q_001.jpg, spark_q_004.jpg, spark_q_005.jpg, spark_q_006.jpg
>
>
> Hi dear all~
> My spark application sometimes runs much slower than it use to be, so I wonder why would this happen.
> I find out that after a repartition stage of stage 17, all tasks go to one executor. But in my code, I only use repartition at the very beginning.  
> In my application, before stage 17,  every stage run sucessfully within 1 minute, but after stage 17, it cost more than 10 minutes for every stage. Normally my application runs succcessfully and will finish within 9 minites.
> My spark version is 0.9.1,  and my program is writen by scala.
> I take some screenshots but don't know how to post it, pls tell me if you need.



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