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https://issues.apache.org/jira/browse/YARN-8275?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16474424#comment-16474424
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Íñigo Goiri commented on YARN-8275:
-----------------------------------

[~aw], thanks for the feedback, much appreciated.
It looks like we can put all you proposed together into an umbrella for fixing 
the way Hadoop interacts with Windows.
>From this thread, I see:
* Move away from an external processese (winutils.exe) for native code:
** Replace by native Java APIs (e.g., symlinks)
** Replace by something like JNI or so
* Fix the build system to fully leverage cmake instead of msbuild

I would create an umbrella for this bigger task and make this JIRA just a 
subtask focusing on the YARN side (e.g., task).

> Create a JNI interface to interact with Windows
> -----------------------------------------------
>
>                 Key: YARN-8275
>                 URL: https://issues.apache.org/jira/browse/YARN-8275
>             Project: Hadoop YARN
>          Issue Type: New Feature
>          Components: nodemanager
>            Reporter: Giovanni Matteo Fumarola
>            Assignee: Giovanni Matteo Fumarola
>            Priority: Major
>         Attachments: WinUtils-Functions.pdf, WinUtils.CSV
>
>
> I did a quick investigation of the performance of WinUtils in YARN. In 
> average NM calls 4.76 times per second and 65.51 per container.
>  
> | |Requests|Requests/sec|Requests/min|Requests/container|
> |*Sum [WinUtils]*|*135354*|*4.761*|*286.160*|*65.51*|
> |[WinUtils] Execute -help|4148|0.145|8.769|2.007|
> |[WinUtils] Execute -ls|2842|0.0999|6.008|1.37|
> |[WinUtils] Execute -systeminfo|9153|0.321|19.35|4.43|
> |[WinUtils] Execute -symlink|115096|4.048|243.33|57.37|
> |[WinUtils] Execute -task isAlive|4115|0.144|8.699|2.05|
>  Interval: 7 hours, 53 minutes and 48 seconds
> Each execution of WinUtils does around *140 IO ops*, of which 130 are DDL ops.
> This means *666.58* IO ops/second due to WinUtils.
> We should start considering to remove WinUtils from Hadoop and creating a JNI 
> interface.



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