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https://issues.apache.org/jira/browse/YARN-8079?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16455545#comment-16455545
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genericqa commented on YARN-8079:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue}  0m  
0s{color} | {color:blue} Docker mode activated. {color} |
| {color:red}-1{color} | {color:red} patch {color} | {color:red}  0m  6s{color} 
| {color:red} YARN-8079 does not apply to trunk. Rebase required? Wrong Branch? 
See https://wiki.apache.org/hadoop/HowToContribute for help. {color} |
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|| Subsystem || Report/Notes ||
| JIRA Issue | YARN-8079 |
| JIRA Patch URL | 
https://issues.apache.org/jira/secure/attachment/12920908/YARN-8079.006.patch |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/20502/console |
| Powered by | Apache Yetus 0.8.0-SNAPSHOT   http://yetus.apache.org |


This message was automatically generated.



> Support specify files to be downloaded (localized) before containers launched 
> by YARN
> -------------------------------------------------------------------------------------
>
>                 Key: YARN-8079
>                 URL: https://issues.apache.org/jira/browse/YARN-8079
>             Project: Hadoop YARN
>          Issue Type: Bug
>            Reporter: Wangda Tan
>            Assignee: Wangda Tan
>            Priority: Critical
>         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
>
>
> 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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