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https://issues.apache.org/jira/browse/SPARK-30246?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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huangweiyi updated SPARK-30246:
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Description:
In our large busy yarn cluster which started Spark external shuffle service on
each NodeManager(NM), we encountered OOM in some NMs.
after i dump the heap memory and found there are some stremState objects still
in heap, but the app which the streamState belongs to is already finished.
Here is some relate Figures:
!https://raw.githubusercontent.com/012huang/public_source/master/SparkPRFigures/nm_oom.png|width=100%!
The heap dump below shows that the memory consumption mainly consists of two
parts:
*(1) OneForOneStreamManager (4,429,796,424 (77.11%) bytes)*
*(2) PoolChunk(occupy 1,059,201,712 (18.44%) bytes. )*
!https://raw.githubusercontent.com/012huang/public_source/master/SparkPRFigures/nm_heap_overview.png|width=100%!
dig into the OneForOneStreamManager, there are some streaStates remained :
!https://raw.githubusercontent.com/012huang/public_source/master/SparkPRFigures/streamState.png|width=100%!
was:
In our large busy yarn cluster which started Spark external shuffle service on
each NodeManager(NM), we encountered OOM in some NMs.
after i dump the heap memory and found there are some stremState objects still
in heap, but the app which the streamState belongs to is already finished.
> Spark on Yarn External Shuffle Service Memory Leak
> --------------------------------------------------
>
> Key: SPARK-30246
> URL: https://issues.apache.org/jira/browse/SPARK-30246
> Project: Spark
> Issue Type: Bug
> Components: Shuffle, Spark Core
> Affects Versions: 2.4.3
> Environment: hadoop 2.7.3
> spark 2.4.3
> jdk 1.8.0_60
> Reporter: huangweiyi
> Priority: Major
>
> In our large busy yarn cluster which started Spark external shuffle service
> on each NodeManager(NM), we encountered OOM in some NMs.
> after i dump the heap memory and found there are some stremState objects
> still in heap, but the app which the streamState belongs to is already
> finished.
> Here is some relate Figures:
> !https://raw.githubusercontent.com/012huang/public_source/master/SparkPRFigures/nm_oom.png|width=100%!
> The heap dump below shows that the memory consumption mainly consists of two
> parts:
> *(1) OneForOneStreamManager (4,429,796,424 (77.11%) bytes)*
> *(2) PoolChunk(occupy 1,059,201,712 (18.44%) bytes. )*
> !https://raw.githubusercontent.com/012huang/public_source/master/SparkPRFigures/nm_heap_overview.png|width=100%!
> dig into the OneForOneStreamManager, there are some streaStates remained :
> !https://raw.githubusercontent.com/012huang/public_source/master/SparkPRFigures/streamState.png|width=100%!
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