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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/02/07 05:33:00 UTC
[jira] [Commented] (SPARK-34389) Spark job on Kubernetes scheduled
For Zero or less than minimum number of executors and Wait indefinitely
under resource starvation
[ https://issues.apache.org/jira/browse/SPARK-34389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17280378#comment-17280378 ]
Hyukjin Kwon commented on SPARK-34389:
--------------------------------------
Does that happen specifically in Kubernates only? It would be easier to assess further with the actual logs and the steps you took to reproduce.
> Spark job on Kubernetes scheduled For Zero or less than minimum number of executors and Wait indefinitely under resource starvation
> -----------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-34389
> URL: https://issues.apache.org/jira/browse/SPARK-34389
> Project: Spark
> Issue Type: Bug
> Components: Kubernetes
> Affects Versions: 3.0.1
> Reporter: Ranju
> Priority: Major
>
> In case Cluster does not have sufficient resource (CPU/ Memory ) for minimum number of executors , the executors goes in Pending State for indefinite time until the resource gets free.
> Suppose, Cluster Configurations are:
> total Memory=204Gi
> used Memory=200Gi
> free memory= 4Gi
> SPARK.EXECUTOR.MEMORY=10G
> SPARK.DYNAMICALLOCTION.MINEXECUTORS=4
> SPARK.DYNAMICALLOCATION.MAXEXECUTORS=8
> Rather, the job should be cancelled if requested number of minimum executors are not available at that point of time because of resource unavailability.
> Currently it is doing partial scheduling or no scheduling and waiting indefinitely. And the job got stuck.
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