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https://issues.apache.org/jira/browse/SPARK-24938?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16558798#comment-16558798
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Imran Rashid commented on SPARK-24938:
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This should be an easy change to make, its just a question of running a test.
I keep meaning to do it, but have too many other things in flight, so anybody
is welcome to do it. You could use SPARK-24918 and
https://github.com/squito/spark-memory to check the memory usage before and
after.
> 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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