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https://issues.apache.org/jira/browse/HDFS-3368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13273032#comment-13273032
 ] 

Hadoop QA commented on HDFS-3368:
---------------------------------

+1 overall.  Here are the results of testing the latest attachment 
  
http://issues.apache.org/jira/secure/attachment/12526469/blockDeletePolicy-trunk.patch
  against trunk revision .

    +1 @author.  The patch does not contain any @author tags.

    +1 tests included.  The patch appears to include 1 new or modified test 
files.

    +1 javac.  The applied patch does not increase the total number of javac 
compiler warnings.

    +1 javadoc.  The javadoc tool did not generate any warning messages.

    +1 eclipse:eclipse.  The patch built with eclipse:eclipse.

    +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 
hadoop-hdfs-project/hadoop-hdfs.

    +1 contrib tests.  The patch passed contrib unit tests.

Test results: 
https://builds.apache.org/job/PreCommit-HDFS-Build/2421//testReport/
Console output: https://builds.apache.org/job/PreCommit-HDFS-Build/2421//console

This message is automatically generated.
                
> Missing blocks due to bad DataNodes comming up and down.
> --------------------------------------------------------
>
>                 Key: HDFS-3368
>                 URL: https://issues.apache.org/jira/browse/HDFS-3368
>             Project: Hadoop HDFS
>          Issue Type: Bug
>          Components: name-node
>    Affects Versions: 0.22.0, 1.0.0, 2.0.0, 3.0.0
>            Reporter: Konstantin Shvachko
>            Assignee: Konstantin Shvachko
>         Attachments: blockDeletePolicy-0.22.patch, 
> blockDeletePolicy-trunk.patch, blockDeletePolicy.patch
>
>
> All replicas of a block can be removed if bad DataNodes come up and down 
> during cluster restart resulting in data loss.

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