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Posted to common-issues@hadoop.apache.org by "Ajay Sachdev (JIRA)" <ji...@apache.org> on 2018/05/15 16:46:00 UTC
[jira] [Moved] (HADOOP-15471) Hdfs recursive listing operation is
very slow
[ https://issues.apache.org/jira/browse/HADOOP-15471?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ajay Sachdev moved HDFS-13398 to HADOOP-15471:
----------------------------------------------
Fix Version/s: (was: 2.7.1)
2.7.1
Affects Version/s: (was: 2.7.1)
2.7.1
Target Version/s: 2.7.6 (was: 2.7.1)
Component/s: (was: hdfs)
fs
Key: HADOOP-15471 (was: HDFS-13398)
Project: Hadoop Common (was: Hadoop HDFS)
> Hdfs recursive listing operation is very slow
> ---------------------------------------------
>
> Key: HADOOP-15471
> URL: https://issues.apache.org/jira/browse/HADOOP-15471
> Project: Hadoop Common
> Issue Type: Bug
> Components: fs
> 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, HDFS-13398.002.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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