You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "Till Rohrmann (Jira)" <ji...@apache.org> on 2020/05/22 10:41:00 UTC

[jira] [Closed] (FLINK-10564) tm costs too much time when communicating with jm

     [ https://issues.apache.org/jira/browse/FLINK-10564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Till Rohrmann closed FLINK-10564.
---------------------------------
    Resolution: Abandoned

Closed for inactivity.

> tm costs too much time when communicating with  jm
> --------------------------------------------------
>
>                 Key: FLINK-10564
>                 URL: https://issues.apache.org/jira/browse/FLINK-10564
>             Project: Flink
>          Issue Type: Bug
>          Components: Runtime / Coordination
>         Environment: configs are following:
> jm
> high-availability	zookeeper
> taskmanager.heap.mb	16384
> taskmanager.memory.preallocate	false
> taskmanager.numberOfTaskSlots	64
> tm
> slots 128
> free slots 0-128
> cpu core 40 
> Physical Memory 95gb
> free Memory 32gb-50gb
> Flink Managed Memory 22gb-35gb
>            Reporter: chenlf
>            Priority: Major
>         Attachments: timeout.log
>
>
> it works fine until the number of tasks is above about 400.
>  There are 600+ tasks(each task handles billion data) running in our cluster now,and the problem is it costs too much time (even time out)when submiting/canceling/querying a task.
>  Recouses like memory,cpu are on normal level.
> after debuging,we found this method is the culprit:
>  org.apache.flink.runtime.util.LeaderRetrievalUtils.LeaderGatewayListener.notifyLeaderAddress(String, UUID)



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