[英]parsing log4j log file using regular expression
I have created a java application for parsing the log4j log file using regular expression, The application is working fine for the log which i have shown below 我创建了一个用于使用正则表达式解析log4j日志文件的Java应用程序,该应用程序对于下面显示的日志工作正常
1999-11-27 15:49:37,459 [thread-x] ERROR mypackage - Catastrophic system failure
but not working for 但不为
2015-01-22 01:52:54,237 [http-bio-80-exec-5] FATAL TestLog4jServlet - Show FATAL message
My log4j ConversionPattern is given below 我的log4j ConversionPattern如下
log4j.appender.Appender2.layout.ConversionPattern=%d [%t] %-7p %10c{1} - %m%n
Can anyone please tell me some solution for this 谁能告诉我一些解决方案
My code is as given below 我的代码如下
public static void main(String[] args) {
String regex = "(\\d{4}-\\d{2}-\\d{2}) (\\d{2}:\\d{2}:\\d{2},\\d{3}) \\[(.*)\\] ([^ ]*) ([^ ]*) - (.*)$";
Pattern p = Pattern.compile(regex);
String[] samples = {
"2015-01-22 01:52:54,237 [http-bio-80-exec-5] FATAL TestLog4jServlet - Show FATAL message"
};
Matcher m = p.matcher(samples[1]);
System.out.println(m.matches());
if (m.matches() && m.groupCount() == 6) {
String date = m.group(1);
String time = m.group(2);
String threadId = m.group(3);
String priority = m.group(4);
String category = m.group(5);
String message = m.group(6);
System.out.println("date: " + date);
System.out.println("time: " + time);
System.out.println("threadId: " + threadId);
System.out.println("priority: " + priority);
System.out.println("category: " + category);
System.out.println("message: " + message);
}
}
Because there are two spaces between FATAL
and TestLog4jServlet
but you included only one space in your regex. 因为
FATAL
和TestLog4jServlet
之间有两个空格,但是您的正则表达式中只包含一个空格。 So i suggest you to replace the corresponding space with <space>+
which allows one or more spaces. 因此,我建议您用允许一个或多个空格的
<space>+
替换相应的空格。
(\d{4}-\d{2}-\d{2}) (\d{2}:\d{2}:\d{2},\d{3}) \[(.*?)\] ([^ ]*) +([^ ]*) - (.*)$
^
|
Java regex would be, Java正则表达式将是
"(\\d{4}-\\d{2}-\\d{2}) (\\d{2}:\\d{2}:\\d{2},\\d{3}) \\[(.*)\\] ([^ ]*) +([^ ]*) - (.*)$"
我认为Logstash更适合解析日志。
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