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From "Wangda Tan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-8079) Support static and archive unmodified local resources in service AM
Date Sun, 20 May 2018 22:33:00 GMT

    [ https://issues.apache.org/jira/browse/YARN-8079?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16482065#comment-16482065
] 

Wangda Tan commented on YARN-8079:
----------------------------------

Thanks [~suma.shivaprasad]. 

While using this feature, I found the behavior to download to resources/ folder is really
confusing. Since inside the spec: 
{code:java}
 {
"dest_file": "presetup-tf.sh",
"type": "STATIC",
"src_file": "hdfs:///tf-job-conf/scripts/configs/presetup-tf.sh"
},{code}

It doesn't mention the "resources" at all in the spec!

To make it simple, I would prefer to remove the default resources, and place all downloaded
files directly under container's local folder. Thoughts? 

+ [~gsaha]/[~billie.rinaldi]/[~eyang] for suggestions.

> Support static and archive unmodified local resources in service AM
> -------------------------------------------------------------------
>
>                 Key: YARN-8079
>                 URL: https://issues.apache.org/jira/browse/YARN-8079
>             Project: Hadoop YARN
>          Issue Type: Bug
>            Reporter: Wangda Tan
>            Assignee: Suma Shivaprasad
>            Priority: Critical
>             Fix For: 3.2.0, 3.1.1
>
>         Attachments: YARN-8079.001.patch, YARN-8079.002.patch, YARN-8079.003.patch, YARN-8079.004.patch,
YARN-8079.005.patch, YARN-8079.006.patch, YARN-8079.007.patch, YARN-8079.008.patch, YARN-8079.009.patch,
YARN-8079.010.patch
>
>
> Currently, {{srcFile}} is not respected. {{ProviderUtils}} doesn't properly read srcFile,
instead it always construct {{remoteFile}} by using componentDir and fileName of {{destFile}}:
> {code}
> Path remoteFile = new Path(compInstanceDir, fileName);
> {code} 
> To me it is a common use case which services have some files existed in HDFS and need
to be localized when components get launched. (For example, if we want to serve a Tensorflow
model, we need to localize Tensorflow model (typically not huge, less than GB) to local disk.
Otherwise launched docker container has to access HDFS.



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