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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-9187) FileUtil.CopyMerge should handle compressed input and output
Date Wed, 12 Apr 2017 15:59:41 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-9187?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15966116#comment-15966116
] 

Hadoop QA commented on HADOOP-9187:
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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 13s{color} | {color:red}
HADOOP-9187 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 | HADOOP-9187 |
| JIRA Patch URL | https://issues.apache.org/jira/secure/attachment/12665694/HADOOP-9187.2.patch
|
| Console output | https://builds.apache.org/job/PreCommit-HADOOP-Build/12089/console |
| Powered by | Apache Yetus 0.5.0-SNAPSHOT   http://yetus.apache.org |


This message was automatically generated.



> FileUtil.CopyMerge should handle compressed input and output
> ------------------------------------------------------------
>
>                 Key: HADOOP-9187
>                 URL: https://issues.apache.org/jira/browse/HADOOP-9187
>             Project: Hadoop Common
>          Issue Type: Improvement
>          Components: fs
>    Affects Versions: 2.3.0
>            Reporter: Ranadip
>            Assignee: Tsuyoshi Ozawa
>              Labels: BB2015-05-TBR
>         Attachments: HADOOP-9187.1.patch, HADOOP-9187.2.patch
>
>
> This method, if run on compressed input, results in corrupt output since it just does
a byte-by-byte concatenation disregarding compression codecs. It should automatically detect
compression codecs from input files and handle them intelligently. 
> Additionally, there should be an option to create a compressed output file so that the
output can be efficiently stored and sent out to customers (over the network outside the cluster).



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