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https://issues.apache.org/jira/browse/YARN-8569?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16640484#comment-16640484
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Suma Shivaprasad commented on YARN-8569:
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[~eyang] YARN_CONTAINER_RUNTIME_YARN_SYSFS_ENABLE sounds good. Thanks !

> 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
>
>
> 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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