Printing stack trace in log file

After recompilation, the compiler may choose a faster tactic using preallocated exceptions that do not provide a stack trace. What you have posted should display the stack trace as stated in the javadoc. Note that if you don't include a message and just call logger. Like answered by Luhar above, I struggled with same thing and finally this worked for me; Good thing about this approach is we don't have to tinker with system level settings like JVM, Log4J since we never know it may lead to new unexpected surprise!

I don't see anything wrong with your config, so try to upgrade log4j to a newer not necessarily the latest version.

Though not the problem in this case, you'd better make your loggers private static final. I haven't used the fillStackTrace call, so I cannot comment if that will work. Another approach is to use a little method that returns the formatted text from an Exception. Make Logger a singleton Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams?

Collectives on Stack Overflow. Learn more. Asked 11 years, 11 months ago. Active 5 years, 4 months ago. Viewed 72k times. I am using log4j with tomcat. My log4j. ConsoleAppender log4j.

PatternLayout log4j. RollingFileAppender log4j. Raedwald Ryan Ryan 3, 5 5 gold badges 42 42 silver badges 67 67 bronze badges. As far as I can see you are doing it all as it should be done Which version of log4j, Java and Tomcat are you using? We're using tomcat 5. You can view bellow thread. You can view bellow thread. It has complete answer stackoverflow.

Sajedul Karim. Add a comment. Active Oldest Votes. You have to write logger. What if it's not an exception, you're using logger. Typically, you can pass the Throwable instance to the logger as well, e. Robin Robin Sign up or log in Sign up using Google. Sign up using Facebook.

Sign up using Email and Password. Post as a guest Name. Stack traces are a record of errors and exceptions caused by a program. Capturing stack trace helps in debugging the code, whereas Handlers help in extending the logging capabilities such as log customization, redirection etc. Before reading this post it is recommended to read logging in python part-1 of the Python Logging series. The logging module provides an inbuilt function which is logging. This is made possible by using Handlers, which not only allows you to define a custom logger but also much more such as, to redirect logs to different targets such as stdout, files, http etc.