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https://issues.apache.org/jira/browse/HDFS-3440?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13278500#comment-13278500
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Hadoop QA commented on HDFS-3440:
---------------------------------
-1 overall. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12527968/HDFS-3440.001.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 appears to have generated 2 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
hadoop-hdfs-project/hadoop-hdfs/src/contrib/bkjournal.
+1 contrib tests. The patch passed contrib unit tests.
Test results:
https://builds.apache.org/job/PreCommit-HDFS-Build/2465//testReport/
Console output: https://builds.apache.org/job/PreCommit-HDFS-Build/2465//console
This message is automatically generated.
> should more effectively limit stream memory consumption when reading corrupt
> edit logs
> --------------------------------------------------------------------------------------
>
> Key: HDFS-3440
> URL: https://issues.apache.org/jira/browse/HDFS-3440
> Project: Hadoop HDFS
> Issue Type: Bug
> Reporter: Colin Patrick McCabe
> Assignee: Colin Patrick McCabe
> Priority: Minor
> Attachments: HDFS-3440.001.patch
>
>
> Currently, we do in.mark(100MB) before reading an opcode out of the edit log.
> However, this could result in us usin all of those 100 MB when reading bogus
> data, which is not what we want. It also could easily make some corrupt edit
> log files unreadable.
> We should have a stream limiter interface, that causes a clean IOException
> when we're in this situation, and does not result in huge memory consumption.
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