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https://issues.apache.org/jira/browse/YARN-6483?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16253912#comment-16253912
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Juan Rodríguez Hortalá commented on YARN-6483:
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Hi,
Any thoughts on this proposal? [~tgraves] do you think this could be
interesting to trigger the blacklisting of executors in decommissioning nodes
as in https://github.com/apache/spark/pull/19267/?
Thanks,
Juan
> Add nodes transitioning to DECOMMISSIONING state to the list of updated nodes
> returned by the Resource Manager as a response to the Application Master
> heartbeat
> ----------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: YARN-6483
> URL: https://issues.apache.org/jira/browse/YARN-6483
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: resourcemanager
> Affects Versions: 2.8.0
> Reporter: Juan Rodríguez Hortalá
> Attachments: YARN-6483-v1.patch
>
>
> The DECOMMISSIONING node state is currently used as part of the graceful
> decommissioning mechanism to give time for tasks to complete in a node that
> is scheduled for decommission, and for reducer tasks to read the shuffle
> blocks in that node. Also, YARN effectively blacklists nodes in
> DECOMMISSIONING state by assigning them a capacity of 0, to prevent
> additional containers to be launched in those nodes, so no more shuffle
> blocks are written to the node. This blacklisting is not effective for
> applications like Spark, because a Spark executor running in a YARN container
> will keep receiving more tasks after the corresponding node has been
> blacklisted at the YARN level. We would like to propose a modification of the
> YARN heartbeat mechanism so nodes transitioning to DECOMMISSIONING are added
> to the list of updated nodes returned by the Resource Manager as a response
> to the Application Master heartbeat. This way a Spark application master
> would be able to blacklist a DECOMMISSIONING at the Spark level.
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