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https://issues.apache.org/jira/browse/SPARK-18798?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15736057#comment-15736057
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Narendra commented on SPARK-18798:
----------------------------------
I am putting below code it says
logWarning("Killing executors is only supported in coarse-grained mode") ,
this means it is supported only in Mesos ? if i am wrong please correct
/**
* :: DeveloperApi ::
* Request that the cluster manager kill the specified executors.
*
* @note This is an indication to the cluster manager that the application
wishes to adjust
* its resource usage downwards. If the application wishes to replace the
executors it kills
* through this method with new ones, it should follow up explicitly with a
call to
* {{SparkContext#requestExecutors}}.
*
* @return whether the request is received.
*/
@DeveloperApi
def killExecutors(executorIds: Seq[String]): Boolean = {
schedulerBackend match {
case b: CoarseGrainedSchedulerBackend =>
b.killExecutors(executorIds, replace = false, force = true).nonEmpty
case _ =>
logWarning("Killing executors is only supported in coarse-grained mode")
false
}
}
> Expose the kill Executor in Yarn Mode
> -------------------------------------
>
> Key: SPARK-18798
> URL: https://issues.apache.org/jira/browse/SPARK-18798
> Project: Spark
> Issue Type: Improvement
> Reporter: Narendra
>
> Expose the kill Executor in Yarn Mode
> I can see spark already has exposed the kill Executor method through spark
> context for Mesos , fi spark can expose the same method for Yarn it will
> good feature if some want to test application stability by killing randomly
> Executor
> I see spark have kill Executor in YarnAllocator, it won't we much time
> consuming to expose this , anyone can work I can also
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