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Posted to issues@spark.apache.org by "Nathan M (JIRA)" <ji...@apache.org> on 2014/12/22 02:37:15 UTC
[jira] [Comment Edited] (SPARK-3174) Provide elastic scaling within
a Spark application
[ https://issues.apache.org/jira/browse/SPARK-3174?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14255344#comment-14255344 ]
Nathan M edited comment on SPARK-3174 at 12/22/14 1:36 AM:
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This is something we're very interested in but we aren't using YARN.
Is there a JIRA to add this feature to Mesos?
was (Author: nemccarthy):
Is there a JIRA to add this feature to Mesos?
> Provide elastic scaling within a Spark application
> --------------------------------------------------
>
> Key: SPARK-3174
> URL: https://issues.apache.org/jira/browse/SPARK-3174
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core, YARN
> Affects Versions: 1.0.2
> Reporter: Sandy Ryza
> Assignee: Andrew Or
> Fix For: 1.2.0
>
> Attachments: SPARK-3174design.pdf, SparkElasticScalingDesignB.pdf, dynamic-scaling-executors-10-6-14.pdf
>
>
> A common complaint with Spark in a multi-tenant environment is that applications have a fixed allocation that doesn't grow and shrink with their resource needs. We're blocked on YARN-1197 for dynamically changing the resources within executors, but we can still allocate and discard whole executors.
> It would be useful to have some heuristics that
> * Request more executors when many pending tasks are building up
> * Discard executors when they are idle
> See the latest design doc for more information.
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