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https://issues.apache.org/jira/browse/HADOOP-7076?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13166585#comment-13166585
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Hadoop QA commented on HADOOP-7076:
-----------------------------------
-1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12506791/HADOOP-7076-2011-12-09.patch
against trunk revision .
+1 @author. The patch does not contain any @author tags.
+1 tests included. The patch appears to include 5 new or modified tests.
-1 javadoc. The javadoc tool appears to have generated 5 warning messages.
+1 javac. The applied patch does not increase the total number of javac
compiler warnings.
+1 findbugs. The patch does not introduce any new Findbugs (version 1.3.9)
warnings.
+1 release audit. The applied patch does not increase the total number of
release audit warnings.
+1 core tests. The patch passed unit tests in .
+1 contrib tests. The patch passed contrib unit tests.
Test results:
https://builds.apache.org/job/PreCommit-HADOOP-Build/459//testReport/
Console output:
https://builds.apache.org/job/PreCommit-HADOOP-Build/459//console
This message is automatically generated.
> 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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