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Alok Nikhil commented on KAFKA-13188: ------------------------------------- [~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. -- This message was sent by Atlassian Jira (v8.3.4#803005)