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Posted to issues@mesos.apache.org by "Greg Mann (JIRA)" <ji...@apache.org> on 2018/10/04 05:21:00 UTC
[jira] [Assigned] (MESOS-9283) Docker containerizer actor can get
backlogged with large number of containers.
[ https://issues.apache.org/jira/browse/MESOS-9283?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Greg Mann reassigned MESOS-9283:
--------------------------------
Assignee: Greg Mann
> Docker containerizer actor can get backlogged with large number of containers.
> ------------------------------------------------------------------------------
>
> Key: MESOS-9283
> URL: https://issues.apache.org/jira/browse/MESOS-9283
> Project: Mesos
> Issue Type: Bug
> Components: containerization
> Affects Versions: 1.5.1, 1.6.1, 1.7.0
> Reporter: Jie Yu
> Assignee: Greg Mann
> Priority: Major
> Labels: perfomance
> Attachments: Screen Shot 2018-10-01 at 10.54.18 PM.png
>
>
> We observed during some scale testing that we do internally.
> When launching 300+ Docker containers on a single agent box, it's possible that the Docker containerizer actor gets backlogged. As a result, API processing like `GET_CONTAINERS` will become unresponsive. It'll also block Mesos containerizer from launching containers if one specified `--containers=docker,mesos` because Docker containerizer launch will be invoked first by the composing containerizer (and queued).
> Profiling results show that the bottleneck is `os::killtree`, which will be invoked when the Docker commands are discarded (e.g., client disconnect, etc.).
> For this particular case, killtree is not really necessary because the docker command does not fork additional subprocesses. If we use the argv version of `subprocess` to launch docker commands, we can simply use os::kill instead. We confirmed that, by switching to os::kill, the performance issues goes away, and the agent can easily scale up to 300+ containers.
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