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https://issues.apache.org/jira/browse/HADOOP-5603?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12696355#action_12696355
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Hadoop QA commented on HADOOP-5603:
-----------------------------------
-1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12404772/blockPlace1.patch
against trunk revision 762509.
+1 @author. The patch does not contain any @author tags.
-1 tests included. The patch doesn't appear to include any new or modified
tests.
Please justify why no tests are needed for this patch.
+1 javadoc. The javadoc tool did not generate any 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 warnings.
-1 Eclipse classpath. The patch causes the Eclipse classpath to differ from
the contents of the lib directories.
+1 release audit. The applied patch does not increase the total number of
release audit warnings.
+1 core tests. The patch passed core unit tests.
+1 contrib tests. The patch passed contrib unit tests.
Test results:
http://hudson.zones.apache.org/hudson/job/Hadoop-Patch-vesta.apache.org/156/testReport/
Findbugs warnings:
http://hudson.zones.apache.org/hudson/job/Hadoop-Patch-vesta.apache.org/156/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Checkstyle results:
http://hudson.zones.apache.org/hudson/job/Hadoop-Patch-vesta.apache.org/156/artifact/trunk/build/test/checkstyle-errors.html
Console output:
http://hudson.zones.apache.org/hudson/job/Hadoop-Patch-vesta.apache.org/156/console
This message is automatically generated.
> Improve block placement performance
> -----------------------------------
>
> Key: HADOOP-5603
> URL: https://issues.apache.org/jira/browse/HADOOP-5603
> Project: Hadoop Core
> Issue Type: Improvement
> Components: dfs
> Reporter: Hairong Kuang
> Assignee: Hairong Kuang
> Fix For: 0.21.0
>
> Attachments: blockPlace.patch, blockPlace1.patch
>
>
> ReplicationTargetChooser chooses targets by iteratively selecting random
> nodes first and then filtering good targets until the required number of
> targets are chosen. This code may require selecting random nodes multiple
> times, thus introducing multiple traversals of the given portion of the
> cluster map. This code can be improved by traversing the portion of the
> cluster map only once.
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