You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "Jiayi Liao (Jira)" <ji...@apache.org> on 2019/09/19 09:55:00 UTC

[jira] [Commented] (FLINK-14124) potential memory leak in netty server

    [ https://issues.apache.org/jira/browse/FLINK-14124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16933227#comment-16933227 ] 

Jiayi Liao commented on FLINK-14124:
------------------------------------

Can you provide the topology(including the parallelism information) and the netty buffer related properties?

You can find the property list here: https://ci.apache.org/projects/flink/flink-docs-stable/ops/config.html#netty-shuffle-environment.

> potential memory leak in netty server
> -------------------------------------
>
>                 Key: FLINK-14124
>                 URL: https://issues.apache.org/jira/browse/FLINK-14124
>             Project: Flink
>          Issue Type: Improvement
>          Components: Runtime / Network
>    Affects Versions: 1.6.3
>            Reporter: YufeiLiu
>            Priority: Critical
>         Attachments: image-2019-09-19-15-53-32-294.png
>
>
> I have a job running in flink 1.4.2, end of the task is use Phoenix jdbc driver write record into Apache Phoenix.
> _mqStream
>             .keyBy(0)
>             .window(TumblingProcessingTimeWindows.of(Time.of(300, TimeUnit.SECONDS)))
>             .process(new MyProcessWindowFunction())
>             .addSink(new PhoenixSinkFunction());_
> But the TaskManager of sink subtask off-heap memory keep increasing, precisely is might case by DirectByteBuffer.
> I analyze heap dump, find there are hundreds of DirectByteBuffer object, each of them reference to over 3MB memory address, they are all link to Flink Netty Server Thread.
>  !image-2019-09-19-15-53-32-294.png! 
> It only happened in sink task, other nodes just work fine. I think is problem of Phoenix at first, but heap dump show memory is consume by netty. I didn't know much about flink network, I will be appreciated if someone can tell me the might causation or how to dig further.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)