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Posted to jira@kafka.apache.org by "Ismael Juma (JIRA)" <ji...@apache.org> on 2017/11/10 14:34:00 UTC

[jira] [Commented] (KAFKA-6199) Single broker with fast growing heap usage

    [ https://issues.apache.org/jira/browse/KAFKA-6199?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16247575#comment-16247575 ] 

Ismael Juma commented on KAFKA-6199:
------------------------------------

Do you have older consumers?

> Single broker with fast growing heap usage
> ------------------------------------------
>
>                 Key: KAFKA-6199
>                 URL: https://issues.apache.org/jira/browse/KAFKA-6199
>             Project: Kafka
>          Issue Type: Bug
>    Affects Versions: 0.10.2.1
>         Environment: Amazon Linux
>            Reporter: Robin Tweedie
>         Attachments: Screen Shot 2017-11-10 at 1.55.33 PM.png, Screen Shot 2017-11-10 at 11.59.06 AM.png
>
>
> We have a single broker in our cluster of 25 with fast growing heap usage which necessitates us restarting it every 12 hours. If we don't restart the broker, it becomes very slow from long GC pauses and eventually has {{OutOfMemory}} errors.
> See {{Screen Shot 2017-11-10 at 11.59.06 AM.png}} for a graph of heap usage percentage on the broker. A "normal" broker in the same cluster stays below 50% (averaged) over the same time period.
> We have taken heap dumps when the broker's heap usage is getting dangerously high, and there are a lot of retained {{NetworkSend}} objects referencing byte buffers.
> We also noticed that the single affected broker logs a lot more of this kind of warning than any other broker:
> {noformat}
> WARN Attempting to send response via channel for which there is no open connection, connection id 13 (kafka.network.Processor)
> {noformat}
> See {{Screen Shot 2017-11-10 at 1.55.33 PM.png}} for counts of that WARN log message visualized across all the brokers (to show it happens a bit on other brokers, but not nearly as much as it does on the "bad" broker).
> I can't make the heap dumps public, but would appreciate advice on how to pin down the problem better. We're currently trying to narrow it down to a particular client, but without much success so far.
> Let me know what else I could investigate or share to track down the source of this leak.



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