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https://issues.apache.org/jira/browse/SPARK-24938?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16718199#comment-16718199
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ASF GitHub Bot commented on SPARK-24938:
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vanzin commented on issue #22114: [SPARK-24938][Core] Prevent Netty from using
onheap memory for headers without regard for configuration
URL: https://github.com/apache/spark/pull/22114#issuecomment-446404726
retest this please
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> Understand usage of netty's onheap memory use, even with offheap pools
> ----------------------------------------------------------------------
>
> Key: SPARK-24938
> URL: https://issues.apache.org/jira/browse/SPARK-24938
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.4.0
> Reporter: Imran Rashid
> Priority: Major
> Labels: memory-analysis
>
> We've observed that netty uses large amount of onheap memory in its pools, in
> addition to the expected offheap memory when I added some instrumentation
> (using SPARK-24918 and https://github.com/squito/spark-memory). We should
> figure out why its using that memory, and whether its really necessary.
> It might be just this one line:
> https://github.com/apache/spark/blob/master/common/network-common/src/main/java/org/apache/spark/network/protocol/MessageEncoder.java#L82
> which means that even with a small burst of messages, each arena will grow by
> 16MB which could lead to a 128 MB spike of an almost entirely unused pool.
> Switching to requesting a buffer from the default pool would probably fix
> this.
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