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From "Patrick Wendell (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-3174) Provide elastic scaling within a Spark application
Date Mon, 06 Oct 2014 04:32:33 GMT

     [ https://issues.apache.org/jira/browse/SPARK-3174?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Patrick Wendell updated SPARK-3174:
-----------------------------------
    Component/s: YARN
                 Spark Core

> 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
>         Attachments: SPARK-3174design.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.
> I think it would be useful to have some heuristics that
> * Request more executors when many pending tasks are building up
> * Request more executors when RDDs can't fit in memory
> * Discard executors when few tasks are running / pending and there's not much in memory
> Bonus points: migrate blocks from executors we're about to discard to executors with
free space.



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