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Posted to jira@kafka.apache.org by "Matthias J. Sax (Jira)" <ji...@apache.org> on 2020/05/29 18:02:00 UTC
[jira] [Commented] (KAFKA-10068) Verify
HighAvailabilityTaskAssignor performance with large clusters and topologies
[ https://issues.apache.org/jira/browse/KAFKA-10068?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17119817#comment-17119817 ]
Matthias J. Sax commented on KAFKA-10068:
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> 30 seconds is a good upper bound.
Why that? The broker side group coordinator applies `max.poll.interval.ms` as timeout on the consumer group leader to compute the assignment (otherwise, a new rebalance with new leader is done and the old leader is removed from the group) – hence, it might make sense to apply like 50% of `max.poll.interval.ms`.
This is also discussion via KIP-572.
> Verify HighAvailabilityTaskAssignor performance with large clusters and topologies
> ----------------------------------------------------------------------------------
>
> Key: KAFKA-10068
> URL: https://issues.apache.org/jira/browse/KAFKA-10068
> Project: Kafka
> Issue Type: Task
> Components: streams
> Affects Versions: 2.6.0
> Reporter: John Roesler
> Priority: Blocker
>
> While reviewing [https://github.com/apache/kafka/pull/8668/files,] I realized that we should have a similar test to make sure that the new task assignor completes well within the default assignment deadline. 30 seconds is a good upper bound.
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