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https://issues.apache.org/jira/browse/HADOOP-12956?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15768054#comment-15768054
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Roni Burd commented on HADOOP-12956:
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Hi, I'm a ppal dev in MSFT and my team owns a massive YARN deployment. I was 
profiling our latest production push and the log4j library takes a big chunk of 
processing time to the point of even blocking other allocate() calls in YARM 
RM. (happy to send some traces if anyone is interested) 

I was reading about the challenges in upgrading to log4j2 and how we are 
waiting for log4j2 2.7 for backward compat on the properties file. While the 
log4j guys are working on that, was wondering if there is anything preventing 
us from making forward progress in parallel? Also, I can see how this change 
could give a perf boost to older branches like 2.8 when running at scale 
without major risk to destabilize functionality. 

I'm more than happy to help with patches as we might need this change for our 
scale anyways and because we dont have strict compat issues that prevents us 
from moving now. Was really looking for some guidance in order to contribute 
back as this would be my first time (our team has done contributions, but not 
me personally)

Thanks!




> Inevitable Log4j2 migration via slf4j
> -------------------------------------
>
>                 Key: HADOOP-12956
>                 URL: https://issues.apache.org/jira/browse/HADOOP-12956
>             Project: Hadoop Common
>          Issue Type: Improvement
>            Reporter: Gopal V
>
> {{5 August 2015 --The Apache Logging Services™ Project Management Committee 
> (PMC) has announced that the Log4j™ 1.x logging framework has reached its end 
> of life (EOL) and is no longer officially supported.}}
> https://blogs.apache.org/foundation/entry/apache_logging_services_project_announces
> A whole framework log4j2 upgrade has to be synchronized, partly for improved 
> performance brought about by log4j2.
> https://logging.apache.org/log4j/2.x/manual/async.html#Performance



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