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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/04/19 05:31:25 UTC
[jira] [Resolved] (SPARK-13904) Add support for pluggable cluster
manager
[ https://issues.apache.org/jira/browse/SPARK-13904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin resolved SPARK-13904.
---------------------------------
Resolution: Fixed
Assignee: Hemant Bhanawat
Fix Version/s: 2.0.0
> Add support for pluggable cluster manager
> -----------------------------------------
>
> Key: SPARK-13904
> URL: https://issues.apache.org/jira/browse/SPARK-13904
> Project: Spark
> Issue Type: Improvement
> Components: Scheduler
> Reporter: Hemant Bhanawat
> Assignee: Hemant Bhanawat
> Fix For: 2.0.0
>
>
> Currently Spark allows only a few cluster managers viz Yarn, Mesos and Standalone. But, as Spark is now being used in newer and different use cases, there is a need for allowing other cluster managers to manage spark components. One such use case is - embedding spark components like executor and driver inside another process which may be a datastore. This allows colocation of data and processing. Another requirement that stems from such a use case is that the executors/driver should not take the parent process down when they go down and the components can be relaunched inside the same process again.
> So, this JIRA requests two functionalities:
> 1. Support for external cluster managers
> 2. Allow a cluster manager to clean up the tasks without taking the parent process down.
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