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Posted to yarn-issues@hadoop.apache.org by "Daniel Templeton (JIRA)" <ji...@apache.org> on 2016/06/14 23:31:30 UTC

[jira] [Comment Edited] (YARN-3611) Support Docker Containers In LinuxContainerExecutor

    [ https://issues.apache.org/jira/browse/YARN-3611?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15330864#comment-15330864 ] 

Daniel Templeton edited comment on YARN-3611 at 6/14/16 11:30 PM:
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Has the LinuxContainerExecutor Docker support been documented yet, or should I file a JIRA to add docs?  I didn't see anything.


was (Author: templedf):
Has this JIRA been documented yet, or should I file a JIRA to add docs?  I didn't see anything.

> Support Docker Containers In LinuxContainerExecutor
> ---------------------------------------------------
>
>                 Key: YARN-3611
>                 URL: https://issues.apache.org/jira/browse/YARN-3611
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: yarn
>            Reporter: Sidharta Seethana
>            Assignee: Sidharta Seethana
>
> Support Docker Containers In LinuxContainerExecutor
> LinuxContainerExecutor provides useful functionality today with respect to localization, cgroups based resource management and isolation for CPU, network, disk etc. as well as security with a well-defined mechanism to execute privileged operations using the container-executor utility.  Bringing docker support to LinuxContainerExecutor lets us use all of this functionality when running docker containers under YARN, while not requiring users and admins to configure and use a different ContainerExecutor. 
> There are several aspects here that need to be worked through :
> * Mechanism(s) to let clients request docker-specific functionality - we could initially implement this via environment variables without impacting the client API.
> * Security - both docker daemon as well as application
> * Docker image localization
> * Running a docker container via container-executor as a specified user
> * “Isolate” the docker container in terms of CPU/network/disk/etc
> * Communicating with and/or signaling the running container (ensure correct pid handling)
> * Figure out workarounds for certain performance-sensitive scenarios like HDFS short-circuit reads 
> * All of these need to be achieved without changing the current behavior of LinuxContainerExecutor



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