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Posted to jira@kafka.apache.org by "Elias Levy (JIRA)" <ji...@apache.org> on 2018/11/05 19:05:00 UTC

[jira] [Commented] (KAFKA-3932) Consumer fails to consume in a round robin fashion

    [ https://issues.apache.org/jira/browse/KAFKA-3932?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16675610#comment-16675610 ] 

Elias Levy commented on KAFKA-3932:
-----------------------------------

[~chienhsw] Alas, I reported the issue two years ago and have not had the opportunity to revisit it as I've moved on to other things.  That said, it seems like your proposal would have addressed the fairness issue I raised.  

> Consumer fails to consume in a round robin fashion
> --------------------------------------------------
>
>                 Key: KAFKA-3932
>                 URL: https://issues.apache.org/jira/browse/KAFKA-3932
>             Project: Kafka
>          Issue Type: Bug
>          Components: consumer
>    Affects Versions: 0.10.0.0
>            Reporter: Elias Levy
>            Assignee: CHIENHSING WU
>            Priority: Major
>
> The Java consumer fails consume messages in a round robin fashion.  This can lead to an unbalance consumption.
> In our use case we have a set of consumer that can take a significant amount of time consuming messages off a topic.  For this reason, we are using the pause/poll/resume pattern to ensure the consumer session is not timeout.  The topic that is being consumed has been preloaded with message.  That means there is a significant message lag when the consumer is first started.  To limit how many messages are consumed at a time, the consumer has been configured with max.poll.records=1.
> The first initial observation is that the client receive a large batch of messages for the first partition it decides to consume from and will consume all those messages before moving on, rather than returning a message from a different partition for each call to poll.
> We solved this issue by configuring max.partition.fetch.bytes to be small enough that only a single message will be returned by the broker on each fetch, although this would not be feasible if message size were highly variable.
> The behavior of the consumer after this change is to largely consume from a small number of partitions, usually just two, iterating between them, until it exhausts them, before moving to another partition.   This behavior is problematic if the messages have some rough time semantics and need to be process roughly time ordered across all partitions.
> It would be useful if the consumer has a pluggable API that allowed custom logic to select which partition to consume from next, thus enabling the creation of a round robin partition consumer.



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