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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:24:11 UTC
[jira] [Updated] (SPARK-16539) When worker is killed driver
continues to run causing issues in supervise mode
[ https://issues.apache.org/jira/browse/SPARK-16539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-16539:
---------------------------------
Labels: bulk-closed supervise (was: supervise)
> When worker is killed driver continues to run causing issues in supervise mode
> ------------------------------------------------------------------------------
>
> Key: SPARK-16539
> URL: https://issues.apache.org/jira/browse/SPARK-16539
> Project: Spark
> Issue Type: Bug
> Components: Scheduler, Spark Core
> Affects Versions: 1.6.1
> Environment: Ubuntu 14.04
> Reporter: Noorul Islam K M
> Priority: Major
> Labels: bulk-closed, supervise
>
> Spark version: 1.6.1
> Cluster Manager: Standalone
> I am experimenting with cluster mode deployment along with supervise for
> high availability of streaming applications.
> 1. Submit a streaming job in cluster mode with supervise
> 2. Say that driver is scheduled on worker1. The app started
> successfully.
> 3. Kill worker1 java process. This does not kill driver process and
> hence the application (context) is still alive.
> 4. Because of supervise flag, driver gets scheduled to new worker
> worker2 and hence a new context is created, making it a duplicate.
> I think this seems to be a bug.
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