[jira] [Resolved] (SPARK-10295) Dynamic allocation in Mesos does not release when RDDs are cached

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10295?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-10295.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.1
                   1.6.0

Issue resolved by pull request 8489
[https://github.com/apache/spark/pull/8489]

> Dynamic allocation in Mesos does not release when RDDs are cached
> -----------------------------------------------------------------
>
>                 Key: SPARK-10295
>                 URL: https://issues.apache.org/jira/browse/SPARK-10295
>             Project: Spark
>          Issue Type: Improvement
>          Components: Documentation, Spark Core
>    Affects Versions: 1.5.0
>         Environment: Spark 1.5.0 RC1
> Centos 6
> java 7 oracle
>            Reporter: Hans van den Bogert
>            Priority: Minor
>             Fix For: 1.6.0, 1.5.1
>
>
> When running spark in coarse grained mode with shuffle service and dynamic allocation, the driver does not release executors if a dataset is cached.
> The console output OTOH shows:
> > 15/08/26 17:29:58 WARN SparkContext: Dynamic allocation currently does not support cached RDDs. Cached data for RDD 9 will be lost when executors are removed.
> However after the default of 1m, executors are not released. When I perform the same initial setup, loading data, etc, but without caching, the executors are released.
> Is this intended behaviour?
> If this is intended behaviour, the console warning is misleading. 



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