使用Log4j的多个文件

问题描述

我正在使用log4j记录一些信息.我想将这些信息分成多个文件.

I'm using log4j to log several informations. I'd like to separate these infos into multiple files.

我的配置文件与此类似:

My configuration file is similar to this:

      #logger_1
            log4j.logger.logger_1=debug, logger_1_File
            log4j.appender.logger_1_File=org.apache.log4j.RollingFileAppender
            log4j.appender.logger_1_File.layout=org.apache.log4j.PatternLayout
            log4j.appender.logger_1_File.layout.ConversionPattern=%d{ABSOLUTE} %m%n
            log4j.appender.logger_1_File.File=${webinf}/logs/logger1/logger1.log
            log4j.appender.logger_1_File.MaxFileSize=5000KB
            log4j.appender.logger_1_File.MaxBackupIndex=200
            log4j.appender.logger_1_File.encoding=UTF-8

        #logger_2
            log4j.logger.logger_2=debug, logger_2_File
            log4j.appender.logger_2_File=org.apache.log4j.RollingFileAppender
            log4j.appender.logger_2_File.layout=org.apache.log4j.PatternLayout
            log4j.appender.logger_2_File.layout.ConversionPattern=%d{ABSOLUTE} %m%n
            log4j.appender.logger_2_File.File=${webinf}/logs/logger2/logger2.log
            log4j.appender.logger_2_File.MaxFileSize=5000KB
            log4j.appender.logger_2_File.MaxBackupIndex=200
            log4j.appender.logger_2_File.encoding=UTF-8

...

对此我有两个问题:

1. 有什么我可以缩写的方法吗?这个(省略重复/样板代码)?我必须重复很多当我使用几个appenders行.
2. 是 有任何性能问题 它?此配置意味着log4j保持 要写入的几种资源 文件.可以 造成性能问题?一世 有9个像这样的Appender，所以我 对此感到担心.

1. Is there any way I could abbreviatethis (omit the repeated/boilerplatecode)? I have to repeat a lot ofline when I use several appenders.
2. Is there any performance problem with it? This config means log4j holds several resources to write into files. Does it cause performance problems? I have 9 appenders like these so I'm worried about it.

推荐答案

首先，使用一个附加程序，多个附加程序和不同的日志级别来衡量应用程序的性能. 如果遇到性能问题，则需要解决它，否则就不必担心.

First of all, measure the performance of your app with a single appender, with many appenders, with different log levels. If you have a performance issue, you need to solve it, otherwise no need to worry about it.

还请阅读 log4j的简短介绍末尾的性能"部分. /a>.

Also read the "Performance" section at the end of the Short introduction to log4j.

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