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问题描述
我们有几个使用log4j进行记录的应用程序.我需要让Log4J解析器正常工作，以便我们可以组合多个日志文件并对它们进行自动分析.我不想重新发明轮子，所以有人可以将我指向一个不错的现有解析器吗?如果有帮助，我确实有log4j转换模式.
如果没有，我必须自己滚动.
推荐答案
我没有意识到log4j用XML Appender发货.
解决方案是:在记录配置文件中指定XML Appender，将输出XML文件作为实体包含在形成良好的XML文件中，然后使用您喜欢的技术解析XML.
其他方法具有以下局限性:
- apache Chainsaw - 未足够自动化
- JDBC-高性能分布式应用程序的性能不佳
其他推荐答案
您可以使用 otroslogviewer 用批处理处理.您必须:
- 定义您的日志格式，可以使用 log4j log4j tatter a href =" http://code.google.com/p/otroslogviewer/wiki/wiki/includededlogparsers" rel =" nofollow"> log4j xmllayout
- 创建实现 logdataparsedlistener .方法将在每个解析的日志事件上调用方法公共void logDataParsed(LogData数据，batchProcessingContext上下文).
- 创建jar
- 运行Otroslogviewer，并指定您的日志处理jar，logDataparSedListener实现和日志文件.
其他推荐答案
您要寻找的是锯木厂 >类似IT .
问题描述
We have several applications that use log4j for logging. I need to get a log4j parser working so we can combine multiple log files and run automated analysis on them. I'm not looking to reinvent the wheel, so can someone point me to a decent pre-existing parser? I do have the log4j conversion pattern if that helps.
If not, I'll have to roll our own.
推荐答案
I didn't realize that Log4J ships with an XML appender.
Solution was: specify an XML appender in the logging configuration file, include that output XML file as an entity into a well formed XML file, then parse the XML using your favorite technique.
The other methods had the following limitations:
- Apache Chainsaw - not automated enough
- jdbc - poor performance in a high performance distributed app
其他推荐答案
You can use OtrosLogViewer with batch processing. You have to:
- Define you log format, you can use Log4j pattern layout parser or Log4j XmlLayout
- Create java class that implements LogDataParsedListener. Method public void logDataParsed(LogData data, BatchProcessingContext context) will be called on every parsed log event.
- Create jar
- Run OtrosLogViewer with specifying your log processing jar, LogDataParsedListener implementation and log files.
其他推荐答案
What you are looking for is called SawMill, or something like it.
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