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Posted to jira@kafka.apache.org by "Nicholas Telford (Jira)" <ji...@apache.org> on 2023/07/11 12:54:00 UTC
[jira] [Created] (KAFKA-15178) Poor performance of ConsumerCoordinator with many TopicPartitions
Nicholas Telford created KAFKA-15178:
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Summary: Poor performance of ConsumerCoordinator with many TopicPartitions
Key: KAFKA-15178
URL: https://issues.apache.org/jira/browse/KAFKA-15178
Project: Kafka
Issue Type: Bug
Components: consumer
Affects Versions: 3.5.0
Reporter: Nicholas Telford
Assignee: Nicholas Telford
Attachments: pollPhase.png
Doing some profiling of my Kafka Streams application, I noticed that the {{pollPhase}} suffers from a minor performance issue.
See flame graph below. !pollPhase.png|width=1028,height=308!
{{ConsumerCoordinator.poll}} calls {{{}rejoinNeededOrPending{}}}, which checks the current {{metadataSnapshot}} against the {{{}assignmentSnapshot{}}}. This comparison is a deep-equality check, and if there's a large number of topic-partitions being consumed by the application, then this comparison can perform poorly.
I suspect this can be trivially addressed with a {{boolean}} flag that indicates when the {{metadataSnapshot}} has been updated (or is "dirty"), and actually needs to be checked, since most of the time it should be identical to {{{}assignmentSnapshot{}}}.
I plan to raise a PR with this optimization to address this issue.
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