You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Kay Ousterhout (JIRA)" <ji...@apache.org> on 2016/08/03 18:36:20 UTC

[jira] [Commented] (SPARK-16455) Add a new hook in CoarseGrainedSchedulerBackend in order to stop scheduling new tasks when cluster is restarting

    [ https://issues.apache.org/jira/browse/SPARK-16455?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15406375#comment-15406375 ] 

Kay Ousterhout commented on SPARK-16455:
----------------------------------------

Given that this feature is only needed for an internal feature that's not part of the main Spark code, I don't think it makes sense to add additional complexity to Spark to support it.

Also, isClusterAvailableForNewOffers is in a class that's private to Spark, so it doesn't make sense to add this Spark-private method that's not used anywhere in Spark.

I'd be in favor of closing this as "will not fix", unless others have reasons they think this makes sense to add?

> Add a new hook in CoarseGrainedSchedulerBackend in order to stop scheduling new tasks when cluster is restarting
> ----------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-16455
>                 URL: https://issues.apache.org/jira/browse/SPARK-16455
>             Project: Spark
>          Issue Type: New Feature
>          Components: Scheduler
>            Reporter: YangyangLiu
>            Priority: Minor
>
> In our case, we are implementing a new mechanism which will let driver survive when cluster is temporarily down and restarting. So when the service provided by cluster is not available, scheduler should stop scheduling new tasks. I added a hook inside CoarseGrainedSchedulerBackend class, in order to avoid new task scheduling when it's necessary.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org