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Posted to jira@kafka.apache.org by "Justine Olshan (JIRA)" <ji...@apache.org> on 2019/05/30 16:19:00 UTC

[jira] [Assigned] (KAFKA-8448) Too many kafka.log.Log instances (Memory Leak)

     [ https://issues.apache.org/jira/browse/KAFKA-8448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Justine Olshan reassigned KAFKA-8448:
-------------------------------------

    Assignee: Justine Olshan

> Too many kafka.log.Log instances (Memory Leak)
> ----------------------------------------------
>
>                 Key: KAFKA-8448
>                 URL: https://issues.apache.org/jira/browse/KAFKA-8448
>             Project: Kafka
>          Issue Type: Bug
>    Affects Versions: 2.2.0
>         Environment: Red Hat 4.4.7-16, java version "1.8.0_152", kafka_2.12-2.2.0
>            Reporter: Juan Olivares
>            Assignee: Justine Olshan
>            Priority: Major
>
> We have a custom Kafka health check which creates a topic, add some ACLs (read/write topic and group), produce & consume a single message and then quickly remove it and all the related ACLs created. We close the consumer involved, but no the producer.
> We have observed that # of instances of {{kafka.log.Log}} keep growing, while there's no evidence of topics being leaked, neither running {{/opt/kafka/bin/kafka-topics.sh --zookeeper localhost:2181 --describe}} , nor looking at the disk directory where topics are stored.
> After looking at the heapdump we've observed the following
>  - None of the {{kafka.log.Log}} references ({{currentLogs}}, {{logsToBeDeleted }} and {{logsToBeDeleted}}) in {{kafka.log.LogManager}} is holding the big amount of {{kafka.log.Log}} instances.
>  - The only reference preventing {{kafka.log.Log}} to be Garbage collected seems to be {{java.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue}} which contains schedule tasks created with the name {{PeriodicProducerExpirationCheck}}.
> I can see in the code that for every {{kafka.log.Log}} a task with this name is scheduled.
> {code:java}
>   scheduler.schedule(name = "PeriodicProducerExpirationCheck", fun = () => {
>     lock synchronized {
>       producerStateManager.removeExpiredProducers(time.milliseconds)
>     }
>   }, period = producerIdExpirationCheckIntervalMs, delay = producerIdExpirationCheckIntervalMs, unit = TimeUnit.MILLISECONDS)
> {code}
> However it seems those tasks are never unscheduled/cancelled



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