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Posted to log4j-dev@logging.apache.org by "Ralph Goers (JIRA)" <ji...@apache.org> on 2013/04/01 05:57:15 UTC

[jira] [Resolved] (LOG4J2-163) Create asynchronous Logger for low-latency logging

     [ https://issues.apache.org/jira/browse/LOG4J2-163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ralph Goers resolved LOG4J2-163.
--------------------------------

       Resolution: Fixed
    Fix Version/s: 2.0-beta5
         Assignee: Ralph Goers

Patch applied in revision 1463078. Please verify and close.
                
> 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
>            Assignee: Ralph Goers
>             Fix For: 2.0-beta5
>
>         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-20130331a.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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