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Posted to common-issues@hadoop.apache.org by "Genmao Yu (JIRA)" <ji...@apache.org> on 2016/10/08 11:10:21 UTC

[jira] [Commented] (HADOOP-12756) Incorporate Aliyun OSS file system implementation

    [ https://issues.apache.org/jira/browse/HADOOP-12756?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15557769#comment-15557769 ] 

Genmao Yu commented on HADOOP-12756:
------------------------------------

h4. FS Shell
||op||support or not||comment||
|cat| (/)  | |
|chgrp| (x)  | |
|chmod| (x)  | |
|chown| (x) | |
|copyFromLocal| (/) | |
|copyToLocal| (/) | |
|cp| (/) | oss -> oss, oss -> local, oss -> hdfs |
|du| (/) | |
|dus| (/) | |
|expunge| (x)  |only support hdfs |
|get| (/)  | |
|getmerge| (/) | |
|ls| (/) | |
|lsr| (/) | |
|mkdir| (/) | |
|movefromLocal| (/) | |
|mv| (/) |oss -> oss |
|put| (/)  | |
|rm| (/) | |
|rmr| (/) | |
|setrep| (x) | locked |
|stat| (/) | |
|tail| (/) | |
|test| (/) | |
|text| (/) | |
|touchz| (/) | |

> Incorporate Aliyun OSS file system implementation
> -------------------------------------------------
>
>                 Key: HADOOP-12756
>                 URL: https://issues.apache.org/jira/browse/HADOOP-12756
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: fs
>    Affects Versions: HADOOP-12756
>            Reporter: shimingfei
>            Assignee: shimingfei
>             Fix For: HADOOP-12756
>
>         Attachments: Aliyun-OSS-integration-v2.pdf, Aliyun-OSS-integration.pdf, HADOOP-12756-v02.patch, HADOOP-12756.003.patch, HADOOP-12756.004.patch, HADOOP-12756.005.patch, HADOOP-12756.006.patch, HADOOP-12756.007.patch, HADOOP-12756.008.patch, HADOOP-12756.009.patch, HADOOP-12756.010.patch, HCFS User manual.md, OSS integration.pdf
>
>
> Aliyun OSS is widely used among China’s cloud users, but currently it is not easy to access data laid on OSS storage from user’s Hadoop/Spark application, because of no original support for OSS in Hadoop.
> This work aims to integrate Aliyun OSS with Hadoop. By simple configuration, Spark/Hadoop applications can read/write data from OSS without any code change. Narrowing the gap between user’s APP and data storage, like what have been done for S3 in Hadoop 



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