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https://issues.apache.org/jira/browse/HDFS-13398?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16461122#comment-16461122
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Ajay Sachdev commented on HDFS-13398:
-------------------------------------

Hi Mukul/Arpit,

Sorry for late response. We would like to get a formal review process for this 
patch before we deploy on customer site. I will work on items #3 and #4 above. 
Also I was unable to find trunk branch in 

[https://github.com/hortonworks/hadoop-release.] So we have used HDP tag -

HDP-2.6.2.0-205-tag

I have also attached the patch against this tag. I would appreciate if you 
could take a look at code and get a review as well.

 

Thanks

Ajay[^HDFS-13398.001.patch]

> Hdfs recursive listing operation is very slow
> ---------------------------------------------
>
>                 Key: HDFS-13398
>                 URL: https://issues.apache.org/jira/browse/HDFS-13398
>             Project: Hadoop HDFS
>          Issue Type: Bug
>          Components: hdfs
>    Affects Versions: 2.7.1
>         Environment: HCFS file system where HDP 2.6.1 is connected to ECS 
> (Object Store).
>            Reporter: Ajay Sachdev
>            Assignee: Ajay Sachdev
>            Priority: Major
>             Fix For: 2.7.1
>
>         Attachments: HDFS-13398.001.patch, parallelfsPatch
>
>
> The hdfs dfs -ls -R command is sequential in nature and is very slow for a 
> HCFS system. We have seen around 6 mins for 40K directory/files structure.
> The proposal is to use multithreading approach to speed up recursive list, du 
> and count operations.
> We have tried a ForkJoinPool implementation to improve performance for 
> recursive listing operation.
> [https://github.com/jasoncwik/hadoop-release/tree/parallel-fs-cli]
> commit id : 
> 82387c8cd76c2e2761bd7f651122f83d45ae8876
> Another implementation is to use Java Executor Service to improve performance 
> to run listing operation in multiple threads in parallel. This has 
> significantly reduced the time to 40 secs from 6 mins.
>  
>  



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