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https://issues.apache.org/jira/browse/KAFKA-8950?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16959891#comment-16959891
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Andrew Olson commented on KAFKA-8950:
-------------------------------------
Thank you for the detailed and helpful response, [~thomaslee]. The symptom we
see is that a random partition occasionally (maybe once every month or two)
gets "stuck" and accumulates lag indefinitely while all other partitions
continue to be consumed normally, with the only solution being to restart the
consumer. Our consumer groups are relatively large (about 20 to 80 members)
with each member reading from about 10 to 25 partitions usually, some high
volume (up to 5k messages per second) and some low. We don't auto-commit
offsets.
> KafkaConsumer stops fetching
> ----------------------------
>
> Key: KAFKA-8950
> URL: https://issues.apache.org/jira/browse/KAFKA-8950
> Project: Kafka
> Issue Type: Bug
> Components: clients
> Affects Versions: 2.3.0
> Environment: linux
> Reporter: Will James
> Priority: Major
> Fix For: 2.4.0, 2.3.1
>
>
> We have a KafkaConsumer consuming from a single partition with
> enable.auto.commit set to true.
> Very occasionally, the consumer goes into a broken state. It returns no
> records from the broker with every poll, and from most of the Kafka metrics
> in the consumer it looks like it is fully caught up to the end of the log.
> We see that we are long polling for the max poll timeout, and that there is
> zero lag. In addition, we see that the heartbeat rate stays unchanged from
> before the issue begins (so the consumer stays a part of the consumer group).
> In addition, from looking at the __consumer_offsets topic, it is possible to
> see that the consumer is committing the same offset on the auto commit
> interval, however, the offset does not move, and the lag from the broker's
> perspective continues to increase.
> The issue is only resolved by restarting our application (which restarts the
> KafkaConsumer instance).
> From a heap dump of an application in this state, I can see that the Fetcher
> is in a state where it believes there are nodesWithPendingFetchRequests.
> However, I can see the state of the fetch latency sensor, specifically, the
> fetch rate, and see that the samples were not updated for a long period of
> time (actually, precisely the amount of time that the problem in our
> application was occurring, around 50 hours - we have alerting on other
> metrics but not the fetch rate, so we didn't notice the problem until a
> customer complained).
> In this example, the consumer was processing around 40 messages per second,
> with an average size of about 10kb, although most of the other examples of
> this have happened with higher volume (250 messages / second, around 23kb per
> message on average).
> I have spent some time investigating the issue on our end, and will continue
> to do so as time allows, however I wanted to raise this as an issue because
> it may be affecting other people.
> Please let me know if you have any questions or need additional information.
> I doubt I can provide heap dumps unfortunately, but I can provide further
> information as needed.
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