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https://issues.apache.org/jira/browse/HADOOP-17295?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18043717#comment-18043717
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ASF GitHub Bot commented on HADOOP-17295:
-----------------------------------------

github-actions[bot] commented on PR #2358:
URL: https://github.com/apache/hadoop/pull/2358#issuecomment-3629625363

   We're closing this stale PR because it has been open for 100 days with no 
activity. This isn't a judgement on the merit of the PR in any way. It's just a 
way of keeping the PR queue manageable.
   If you feel like this was a mistake, or you would like to continue working 
on it, please feel free to re-open it and ask for a committer to remove the 
stale tag and review again.
   Thanks all for your contribution.




> Move dedicated pre-logging statements into existing logging guards
> ------------------------------------------------------------------
>
>                 Key: HADOOP-17295
>                 URL: https://issues.apache.org/jira/browse/HADOOP-17295
>             Project: Hadoop Common
>          Issue Type: Improvement
>            Reporter: Chen Zhi
>            Assignee: Chen Zhi
>            Priority: Minor
>              Labels: pull-request-available
>          Time Spent: 1h 50m
>  Remaining Estimate: 0h
>
> I find some cases where some pre-processing statements dedicated to logging 
> calls are not guarded by existing logging guards. Most of them are easy to 
> fix. And the performance and maintainability of these logging calls can be 
> improved to some extend. So I create a PR to fix them.
> These issues are detected by a static analysis tool wrote by myself. This 
> tool can extract all the dedicated statements for each debug-logging calls 
> (i.e., the results of these statements are only used by debug-logging calls). 
> Because I realize that debug logs will incur overhead in production, such as 
> string concatenation and method calls in the parameters of logging calls as 
> well as pre-processing statements. And I want to perform a systematic 
> evaluation for the overhead of debugging logging calls in production.



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