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