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https://issues.apache.org/jira/browse/LOG4J2-2606?focusedWorklogId=261059&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-261059
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ASF GitHub Bot logged work on LOG4J2-2606:
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                Author: ASF GitHub Bot
            Created on: 16/Jun/19 19:49
            Start Date: 16/Jun/19 19:49
    Worklog Time Spent: 10m 
      Work Description: carterkozak commented on issue #273: LOG4J2-2606: 
Substantially improve async logging performance under heavy load
URL: https://github.com/apache/logging-log4j2/pull/273#issuecomment-502480491
 
 
   Friendly ping on this. Not a rush, just want to make sure we don't forget 
about it for 2.12.0 :-)
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 261059)
    Time Spent: 3h 10m  (was: 3h)

> Asynchronous logging when the queue is full results heavy CPU load
> ------------------------------------------------------------------
>
>                 Key: LOG4J2-2606
>                 URL: https://issues.apache.org/jira/browse/LOG4J2-2606
>             Project: Log4j 2
>          Issue Type: Bug
>    Affects Versions: 2.11.2
>            Reporter: Carter Kozak
>            Assignee: Carter Kozak
>            Priority: Major
>          Time Spent: 3h 10m
>  Remaining Estimate: 0h
>
> I've encountered unexpected performance characteristics when the asynchronous 
> logging queue is full, resulting in the application becoming unavailable for 
> an extended period of time.
> I think EventRoute.ENQUEUE is using a spin lock (or similar construct). When 
> many threads attempt to log at a higher rate than we can drain the queue, 
> logging throughput drops significantly while CPU utilization skyrockets 
> causing instability across the system.
> I can reproduce this in a benchmark (I will clean it up and push when I have 
> a moment) where I get the following results:
> Setup:
>  Root logger has a random access file appender with immediateFlush disabled
> AsyncLoggerContextSelector enabled for completely asynchronous logging
> 1 thread logging, any queue full policy: ~1,400k events/second, 150% CPU
> 32 threads logging, default policy (EventRoute.ENQUEUE, default policy): 
> 300k-400k events/second. 930% CPU load
> 32 threads logging, custom policy using EventRoute.SYNCHRONOUS: 1,200k 
> events/second. 350% CPU load
> Using the synchronous policy results in ~1/3 the CPU load and 3-4x throughput 
> when the system is loaded to the point that the logging queue is filled.



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