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From "Remko Popma (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LOG4J2-163) Create asynchronous Logger for low-latency logging
Date Fri, 22 Mar 2013 04:09:17 GMT

    [ https://issues.apache.org/jira/browse/LOG4J2-163?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13609888#comment-13609888

Remko Popma commented on LOG4J2-163:

I compared performance of log4j2-async with log4j-1.x and logback:
Log4j2-async is significantly faster, especially in multi-threaded scenarios.

1 thread: 20% faster, 2 threads: 45% faster, 4 threads: 2.5x faster, 8 threads: 3.2x faster

Throughput in logged messages per second:
____________________________	1 thread	2 threads	4 threads	8 threads
Log4j2: All async (SysClock)	2,652,412	909,119	776,993	516,365
Log4j2: Async Appender _____	1,713,429	603,019	331,506	149,408
Log4j1: Async Appender _____	2,239,664	494,470	221,402	109,314
Logback: Async Appender ____	2,206,907	624,082	307,500	160,096
Log4j2: Sync	273,536	136,523	67,609	34,404
Log4j1: Sync	326,894	105,591	57,036	30,511
Logback: Sync	178,063	65,000	34,372	16,903

For synchronous logging, I experimented with replacing DatePatternConverter with a dummy impl,
but this only increased throughput to 287,113 ops/sec.

> 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: 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.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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