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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/10/08 13:38:27 UTC
[jira] [Resolved] (SPARK-10940) Too many open files Spark Shuffle
[ https://issues.apache.org/jira/browse/SPARK-10940?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-10940.
-------------------------------
Resolution: Cannot Reproduce
> 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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