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https://issues.apache.org/jira/browse/KAFKA-13188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17398148#comment-17398148
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Alok Nikhil commented on KAFKA-13188:
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[~luwang] I see that the consumer side memory pool management KIP was never
implemented -
[https://cwiki.apache.org/confluence/display/KAFKA/KIP-81:+Bound+Fetch+memory+usage+in+the+consumer]
The default is `MemoryPool.NONE`. How did LinkedIn measure the performance
here? Is there a customization / config that allows the consumer to use a
different memory pool?
> Release the memory back into MemoryPool
> ---------------------------------------
>
> Key: KAFKA-13188
> URL: https://issues.apache.org/jira/browse/KAFKA-13188
> Project: Kafka
> Issue Type: Improvement
> Reporter: Lucas Wang
> Assignee: Alok Nikhil
> Priority: Major
> Fix For: 3.0.1
>
>
> Tushar made a [hotfix change|https://github.com/linkedin/kafka/pull/186] to
> the linkedin/kafka repo hosting apache kafka 2.4.
> The change is about releasing memory back to the MemoryPool for the kafka
> consumer, and his benchmark showed significant improvement in terms of the
> memory graduating from Young Gen and promoted to Old Gen.
> Given the benefit, the change should also be added trunk.
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