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Posted to issues@spark.apache.org by "Ryan Williams (JIRA)" <ji...@apache.org> on 2015/07/20 18:12:05 UTC
[jira] [Updated] (SPARK-9197) Cached RDD partitions are lost when
executors are dynamically deallocated
[ https://issues.apache.org/jira/browse/SPARK-9197?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ryan Williams updated SPARK-9197:
---------------------------------
Priority: Minor (was: Major)
> Cached RDD partitions are lost when executors are dynamically deallocated
> -------------------------------------------------------------------------
>
> Key: SPARK-9197
> URL: https://issues.apache.org/jira/browse/SPARK-9197
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 1.4.1
> Reporter: Ryan Williams
> Priority: Minor
>
> Currently, dynamic allocation cleans up executors that have not run any tasks for a certain amount of time.
> However, this often leads to cached RDD partitions being lost.
> Should dynamic allocation leave executors alone that have cached partitions? Should this be configurable?
> Is there any interest in code that would shuffle cached partitions around in preparation for executor-deallocation, to avoid this? Such logic could be useful in general for maintaining persisted RDDs across executor churn.
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