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From "Robert Kanter (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-8569) Create an interface to provide cluster information to application
Date Fri, 19 Oct 2018 17:01:00 GMT

    [ https://issues.apache.org/jira/browse/YARN-8569?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16657096#comment-16657096
] 

Robert Kanter commented on YARN-8569:
-------------------------------------

Sorry about that.  I had to fix a number of problems with test-container-executor to get it
to run under root, which runs also runs a number of additional tests (I think the pre-commit
build must only run it as a normal user).  I had changed the dir permissions as part of that,
but perhaps it wasn't necessary.  I'll double check that it still works as root, using your
patch here.

> Create an interface to provide cluster information to application
> -----------------------------------------------------------------
>
>                 Key: YARN-8569
>                 URL: https://issues.apache.org/jira/browse/YARN-8569
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>            Reporter: Eric Yang
>            Assignee: Eric Yang
>            Priority: Major
>              Labels: Docker
>         Attachments: YARN-8569 YARN sysfs interface to provide cluster information to
application.pdf, YARN-8569.001.patch, YARN-8569.002.patch, YARN-8569.003.patch, YARN-8569.004.patch,
YARN-8569.005.patch, YARN-8569.006.patch, YARN-8569.007.patch, YARN-8569.008.patch, YARN-8569.009.patch,
YARN-8569.010.patch, YARN-8569.011.patch, YARN-8569.012.patch, YARN-8569.013.patch, YARN-8569.014.patch
>
>
> Some program requires container hostnames to be known for application to run.  For example,
distributed tensorflow requires launch_command that looks like:
> {code}
> # On ps0.example.com:
> $ python trainer.py \
>      --ps_hosts=ps0.example.com:2222,ps1.example.com:2222 \
>      --worker_hosts=worker0.example.com:2222,worker1.example.com:2222 \
>      --job_name=ps --task_index=0
> # On ps1.example.com:
> $ python trainer.py \
>      --ps_hosts=ps0.example.com:2222,ps1.example.com:2222 \
>      --worker_hosts=worker0.example.com:2222,worker1.example.com:2222 \
>      --job_name=ps --task_index=1
> # On worker0.example.com:
> $ python trainer.py \
>      --ps_hosts=ps0.example.com:2222,ps1.example.com:2222 \
>      --worker_hosts=worker0.example.com:2222,worker1.example.com:2222 \
>      --job_name=worker --task_index=0
> # On worker1.example.com:
> $ python trainer.py \
>      --ps_hosts=ps0.example.com:2222,ps1.example.com:2222 \
>      --worker_hosts=worker0.example.com:2222,worker1.example.com:2222 \
>      --job_name=worker --task_index=1
> {code}
> This is a bit cumbersome to orchestrate via Distributed Shell, or YARN services launch_command.
 In addition, the dynamic parameters do not work with YARN flex command.  This is the classic
pain point for application developer attempt to automate system environment settings as parameter
to end user application.
> It would be great if YARN Docker integration can provide a simple option to expose hostnames
of the yarn service via a mounted file.  The file content gets updated when flex command is
performed.  This allows application developer to consume system environment settings via a
standard interface.  It is like /proc/devices for Linux, but for Hadoop.  This may involve
updating a file in distributed cache, and allow mounting of the file via container-executor.



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