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https://issues.apache.org/jira/browse/SPARK-28743?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jiandan Yang updated SPARK-28743:
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Attachment: dominator.jpg
> YarnShuffleService leads to NodeManager OOM because ChannelOutboundBuffer has
> to many entry
> -------------------------------------------------------------------------------------------
>
> Key: SPARK-28743
> URL: https://issues.apache.org/jira/browse/SPARK-28743
> Project: Spark
> Issue Type: Bug
> Components: Shuffle
> Affects Versions: 2.2.3
> Reporter: Jiandan Yang
> Priority: Major
> Attachments: dominator.jpg, histo.jpg
>
>
> NodeManager heap size is 4G, io.netty.channel.ChannelOutboundBuffer$Entry
> occupied about 2.8G by looking at Histogram of Mat, and those Entries were
> hold by ChannelOutboundBuffer by looking at dominator_tree of mat. By
> analyzing one fo ChannelOutboundBuffer object, I found there were 248867
> entries in the object of ChannelOutboundBuffer
> (ChannelOutboundBuffer#flushed=248867), and
> ChannelOutboundBuffer#totalPengdingSize=23891232 which is more than
> highwaterMark(64K), and unwritable=1 meaning sending buffer was full. But
> ChannelHandler seems not check unwritable flag when write message, and
> finally NodeManager occurs OOM.
>
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