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https://issues.apache.org/jira/browse/SPARK-46006?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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angerszhu updated SPARK-46006:
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Description:
We meet a case that user call sc.stop() after run all custom code, but stuck in
some place.
Cause below situation
# User call sc.stop()
# sc.stop() stuck in some process, but SchedulerBackend.stop was called
# Since tarn ApplicationMaster didn't finish， still call
YarnAllocator.allocateResources()
因为driver端口已经关闭，allocateResource还在继续申请新的executor失败
触发 Max number of executor failures
was:
We meet a case that user call sc.stop() after run all custom code, but stuck in
some place.
Cause below situation
# User call sc.stop()
# sc.stop() stuck in some process, but SchedulerBackend.stop was called
ApplicationMaster 还没有进入finish， 还会继续调用YarnAllocator.allocateResources()
因为driver端口已经关闭，allocateResource还在继续申请新的executor失败
触发 Max number of executor failures
> YarnAllocator miss clean targetNumExecutorsPerResourceProfileId after
> YarnSchedulerBackend call stop
> ----------------------------------------------------------------------------------------------------
>
> Key: SPARK-46006
> URL: https://issues.apache.org/jira/browse/SPARK-46006
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 3.1.3, 3.2.4, 3.3.2, 3.4.1, 3.5.0
> Reporter: angerszhu
> Priority: Major
> Fix For: 3.4.2, 4.0.0, 3.5.1
>
>
> We meet a case that user call sc.stop() after run all custom code, but stuck
> in some place.
> Cause below situation
> # User call sc.stop()
> # sc.stop() stuck in some process, but SchedulerBackend.stop was called
> # Since tarn ApplicationMaster didn't finish， still call
> YarnAllocator.allocateResources()
> 因为driver端口已经关闭，allocateResource还在继续申请新的executor失败
> 触发 Max number of executor failures
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