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https://issues.apache.org/jira/browse/SPARK-17917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15586304#comment-15586304
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Apache Spark commented on SPARK-17917:
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User 'mariobriggs' has created a pull request for this issue:
https://github.com/apache/spark/pull/15534

> Convert 'Initial job has not accepted any resources..' logWarning to a 
> SparkListener event
> ------------------------------------------------------------------------------------------
>
>                 Key: SPARK-17917
>                 URL: https://issues.apache.org/jira/browse/SPARK-17917
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>            Reporter: Mario Briggs
>            Priority: Minor
>
> When supporting Spark on a multi-tenant shared large cluster with quotas per 
> tenant, often a submitted taskSet might not get executors because quotas have 
> been exhausted (or) resources unavailable. In these situations, firing a 
> SparkListener event instead of just logging the issue (as done currently at 
> https://github.com/apache/spark/blob/9216901d52c9c763bfb908013587dcf5e781f15b/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala#L192),
>  would give applications/listeners an opportunity to handle this more 
> appropriately as needed.



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