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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:
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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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