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Posted to issues@spark.apache.org by "Takeshi Yamamuro (JIRA)" <ji...@apache.org> on 2017/09/28 02:20:00 UTC
[jira] [Commented] (SPARK-22149) spark.shuffle.memoryFraction
(deprecated) in spark 2
[ https://issues.apache.org/jira/browse/SPARK-22149?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16183575#comment-16183575 ]
Takeshi Yamamuro commented on SPARK-22149:
------------------------------------------
I think you should first ask in the spark mailing list. Then, if we'd better to do something, you can open a jira. Thanks!
> spark.shuffle.memoryFraction (deprecated) in spark 2
> ----------------------------------------------------
>
> Key: SPARK-22149
> URL: https://issues.apache.org/jira/browse/SPARK-22149
> Project: Spark
> Issue Type: Documentation
> Components: Documentation
> Affects Versions: 2.1.1
> Reporter: regis le bretonnic
> Priority: Minor
>
> Hi
> This is not a bug but maybe a lack of documentation.
> I have a job that produce a lot of blockmgr files... I do not understand why the shuffle writes so much on disk and not in the heap of nodemanager.
> I wanted to increase spark.shuffle.memoryFraction to reduce the part of data on disk, but this parameter is deprecated in the version we use (https://spark.apache.org/docs/2.1.1/configuration.html)
> How to increase the memory size allocated to shuffle in spark 2 ? Is there a non documented parameter ?
> I do not use an external shuffle service and I'd prefer to avoid it for now...
> Thanks in advance
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