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From "Khaireddine Rezgui (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (KAFKA-6399) Consider reducing "max.poll.interval.ms" default for Kafka Streams
Date Wed, 07 Mar 2018 22:06:00 GMT

     [ https://issues.apache.org/jira/browse/KAFKA-6399?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Khaireddine Rezgui reassigned KAFKA-6399:

    Assignee: Khaireddine Rezgui

> Consider reducing "max.poll.interval.ms" default for Kafka Streams
> ------------------------------------------------------------------
>                 Key: KAFKA-6399
>                 URL: https://issues.apache.org/jira/browse/KAFKA-6399
>             Project: Kafka
>          Issue Type: Improvement
>          Components: streams
>    Affects Versions: 1.0.0
>            Reporter: Matthias J. Sax
>            Assignee: Khaireddine Rezgui
>            Priority: Minor
> In Kafka {{}} we change the default value of {{max.poll.intervall.ms}} for Kafka
Streams to {{Integer.MAX_VALUE}}. The reason was that long state restore phases during rebalance
could yield "rebalance storms" as consumers drop out of a consumer group even if they are
healthy as they didn't call {{poll()}} during state restore phase.
> In version {{0.11}} and {{1.0}} the state restore logic was improved a lot and thus,
now Kafka Streams does call {{poll()}} even during restore phase. Therefore, we might consider
setting a smaller timeout for {{max.poll.intervall.ms}} to detect bad behaving Kafka Streams
applications (ie, targeting user code) that don't make progress any more during regular operations.
> The open question would be, what a good default might be. Maybe the actual consumer default
of 30 seconds might be sufficient. During one {{poll()}} roundtrip, we would only call {{restoreConsumer.poll()}}
once and restore a single batch of records. This should take way less time than 30 seconds.

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