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https://issues.apache.org/jira/browse/HDFS-2718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13198534#comment-13198534
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Hadoop QA commented on HDFS-2718:
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+1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12512905/editsLoader-trunk.patch
against trunk revision .
+1 @author. The patch does not contain any @author tags.
+1 tests included. The patch appears to include 6 new or modified tests.
+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 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 .
+1 contrib tests. The patch passed contrib unit tests.
Test results:
https://builds.apache.org/job/PreCommit-HDFS-Build/1832//testReport/
Console output: https://builds.apache.org/job/PreCommit-HDFS-Build/1832//console
This message is automatically generated.
> Optimize OP_ADD in edits loading
> --------------------------------
>
> Key: HDFS-2718
> URL: https://issues.apache.org/jira/browse/HDFS-2718
> Project: Hadoop HDFS
> Issue Type: Bug
> Components: name-node
> Affects Versions: 0.22.0, 0.24.0, 1.0.0
> Reporter: Konstantin Shvachko
> Assignee: Konstantin Shvachko
> Attachments: editsLoader-0.22.patch, editsLoader-0.22.patch,
> editsLoader-0.22.patch, editsLoader-trunk.patch, editsLoader-trunk.patch,
> editsLoader-trunk.patch, editsLoader-trunk.patch
>
>
> During loading the edits journal FSEditLog.loadEditRecords() processes OP_ADD
> inefficiently. It first removes the existing INodeFile from the directory
> tree, then adds it back as a regular INodeFile, and then replaces it with
> INodeFileUnderConstruction if files is not closed. This slows down edits
> loading. OP_ADD should be done in one shot and retain previously existing
> data.
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