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https://issues.apache.org/jira/browse/LOG4J2-163?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13618253#comment-13618253
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Ralph Goers commented on LOG4J2-163:
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I started to look at the code and I have a couple of issues:
1. @author tags are discouraged by the ASF board of directors and Log4j 2
doesn't use them. The idea here is that the community owns the code. Individual
contributions are recognized through the changes.xml and subversion commits.
2. I am seeing com.lmax.disruptor classes in the source code. This is very bad
practice as it means a log4j jar will now be exposing classes from a third
party. The pom.xml should reference the disruptor jar as a dependency. I'd fix
this but I don't know what version you based this on.
> Create asynchronous Logger for low-latency logging
> --------------------------------------------------
>
> Key: LOG4J2-163
> URL: https://issues.apache.org/jira/browse/LOG4J2-163
> Project: Log4j 2
> Issue Type: Improvement
> Affects Versions: 2.0-beta4
> Reporter: Remko Popma
> Attachments: async-perf-comparison.png, FastLog4j-v2-for-beta4.zip,
> FastLog4j-v3-for-beta4.zip, FastLog4j-v4-for-beta4.zip,
> LOG4J2-163-log4j-async-20130320.patch,
> LOG4J2-163-log4j-async-20130331-images.zip,
> LOG4J2-163-log4j-async-20130331.patch, LOG4J2-163-log4j-async.patch
>
>
> One of the main considerations for selecting a logging library is
> performance, specifically, how long it takes for a call to Logger.log to
> return. (See the comments of LOG4J-151 for a discussion of latency versus
> application throughput and logging throughput.)
> I believe it is possible to improve this performance by an order of magnitude
> by having an asynchronous Logger implementation that hands off the work to a
> separate thread as early as possible. The disk I/O would be done in this
> separate thread.
> AsynchAppender is not a good match for these requirements, as with that
> approach (a) the logging call still needs to flow down the hierarchy to the
> appender, doing synchronization and creating objects at various points on the
> way, and (b) when serializing the LogEvent, the getSource() method is always
> called, which is expensive.
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