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https://issues.apache.org/jira/browse/HADOOP-7076?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13165911#comment-13165911
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Luke Lu commented on HADOOP-7076:
---------------------------------

The code especially the docs/comments looks good to me. I wonder if the name of 
the codec would better be called SkipGzipCodec instead of SplittableGzipCodec 
mostly because the latter would be a good name for a real splittable variant of 
gzip format and that the former sounds weird enough to prompt user to read the 
documentation to find out that the codec actually do O(s*n) io, which is mostly 
suitable for processing archived gzipped files infrequently with number of 
splits less than the compression factor (uncompressed size/compressed size) 
(not a precise criterion BTW). Otherwise, you'd better off convert these files 
into a real splittable compressed format.
                
> 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-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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