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From "Matthias J. Sax (JIRA)" <j...@apache.org>
Subject [jira] [Created] (KAFKA-6399) Consider reducing "max.poll.interval.ms" default for Kafka Streams
Date Fri, 22 Dec 2017 21:41:00 GMT
Matthias J. Sax created KAFKA-6399:
--------------------------------------

             Summary: 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: Bug
          Components: streams
    Affects Versions: 1.0.0
            Reporter: Matthias J. Sax
            Priority: Minor


In Kafka {{0.10.2.1}} 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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