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https://issues.apache.org/jira/browse/HADOOP-7076?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12977446#action_12977446
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Greg Roelofs commented on HADOOP-7076:
--------------------------------------
See also PIG-42. That died when Pig stopped doing compression itself, but the
approach may be worth considering.
Alternatively, an LZO-style side index could be generated for any concatenated
gzip stream.
> 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
> Attachments: 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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