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Posted to issues@spark.apache.org by "ShiShu (JIRA)" <ji...@apache.org> on 2014/09/18 09:02:33 UTC

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

ShiShu created SPARK-3583:
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             Summary: 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


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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