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https://issues.apache.org/jira/browse/HADOOP-8149?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13224658#comment-13224658
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Hadoop QA commented on HADOOP-8149:
-----------------------------------

-1 overall.  Here are the results of testing the latest attachment 
  http://issues.apache.org/jira/secure/attachment/12517443/HADOOP-8149.patch
  against trunk revision .

    +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 new tests are needed for this 
patch.
                        Also please list what manual steps were performed to 
verify this patch.

    -1 patch.  The patch command could not apply the patch.

Console output: 
https://builds.apache.org/job/PreCommit-HADOOP-Build/683//console

This message is automatically generated.
                
> cap space usage of default log4j rolling policy 
> ------------------------------------------------
>
>                 Key: HADOOP-8149
>                 URL: https://issues.apache.org/jira/browse/HADOOP-8149
>             Project: Hadoop Common
>          Issue Type: Improvement
>          Components: conf
>            Reporter: Patrick Hunt
>         Attachments: HADOOP-8149.patch
>
>
> I've seen several critical production issues because logs are not 
> automatically removed after some time and accumulate. Changes to Hadoop's 
> default log4j file appender would help with this.
> I recommend we move to an appender which:
> 1) caps the max file size (configurable)
> 2) caps the max number of files to keep (configurable)
> 3) uses rolling file appender rather than DRFA, see the warning here:
> http://logging.apache.org/log4j/1.2/apidocs/org/apache/log4j/DailyRollingFileAppender.html
> Specifically: "DailyRollingFileAppender has been observed to exhibit 
> synchronization issues and data loss."
> We'd lose (based on the default log4j configuration) the daily rolling 
> aspect, however increase reliability.

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