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From "Niels Basjes (Updated) (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HADOOP-7076) Splittable Gzip
Date Fri, 09 Dec 2011 21:33:39 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-7076?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Niels Basjes updated HADOOP-7076:
---------------------------------

    Attachment: HADOOP-7076-2011-12-09-branch-0.22.patch

This is the same patch as HADOOP-7076-2011-12-09.patch but this one has been changed for branch-0.22

This one will fail the automated Hadoop QA because it is non-trunk.
                
> Splittable Gzip
> ---------------
>
>                 Key: HADOOP-7076
>                 URL: https://issues.apache.org/jira/browse/HADOOP-7076
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: io
>            Reporter: Niels Basjes
>            Assignee: Niels Basjes
>         Attachments: HADOOP-7076-2011-01-26.patch, HADOOP-7076-2011-01-29.patch, HADOOP-7076-2011-02-05.patch,
HADOOP-7076-2011-02-06.patch, HADOOP-7076-2011-05-18.patch, HADOOP-7076-2011-08-05-2255.patch,
HADOOP-7076-2011-08-05-2315.patch, HADOOP-7076-2011-12-04-2332.patch, HADOOP-7076-2011-12-09-branch-0.22.patch,
HADOOP-7076-2011-12-09.patch, HADOOP-7076-branch-0.22.patch, HADOOP-7076.patch
>
>
> Files compressed with the gzip codec are not splittable due to the nature of the codec.
> This limits the options you have scaling out when reading large gzipped input files.
> Given the fact that gunzipping a 1GiB file usually takes only 2 minutes I figured that
for some use cases wasting some resources may result in a shorter job time under certain conditions.
> So reading the entire input file from the start for each split (wasting resources!!)
may lead to additional scalability.

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