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https://issues.apache.org/jira/browse/SPARK-10940?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14945652#comment-14945652
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Sandeep Pal edited comment on SPARK-10940 at 10/6/15 7:55 PM:
--------------------------------------------------------------

Ok, I will. One more important thing I forgot to mention. The above failed 
configuration of 120 cores worked on spark core code on the top of rdd. The 
failure is only in case of using Spark SQL. I will also update the description.


was (Author: vnayak053):
Ok, I will. One more important think I forgot to mention. The above failed 
configuration of 120 cores worked on spark core code on the top of rdd. The 
failure is only in case of using Spark SQL. I will also update the description.

> Too many open files Spark Shuffle
> ---------------------------------
>
>                 Key: SPARK-10940
>                 URL: https://issues.apache.org/jira/browse/SPARK-10940
>             Project: Spark
>          Issue Type: Bug
>          Components: Shuffle, SQL
>    Affects Versions: 1.5.0
>         Environment: 6 node standalone spark cluster with 1 master and 5 
> worker nodes on Centos 6.6 for all nodes. Each node has > 100 GB memory and 
> 36 cores.
>            Reporter: Sandeep Pal
>
> Executing terasort by Spark-SQL on the data generated by teragen in hadoop. 
> Data size generated is ~456 GB. 
> Terasort passing with --total-executor-cores = 40, where as failing for 
> --total-executor-cores = 120. 
> I have tried to increase the ulimit to 10k but the problem persists.
> Note: The above failed configuration of 120 cores worked on spark core code 
> on the top of rdd. The failure is only in case of using Spark SQL.
> Below is the error message from one of the executor node:
> java.io.FileNotFoundException: 
> /tmp/spark-e15993e8-51a4-452a-8b86-da0169445065/executor-0c661152-3837-4711-bba2-2abf4fd15240/blockmgr-973aab72-feb8-4c60-ba3d-1b2ee27a1cc2/3f/temp_shuffle_7741538d-3ccf-4566-869f-265655ca9c90
>  (Too many open files)



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