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)