What is Perf4j Logging

Perf4J is a set of utilities for calculating and displaying performance statistics for Java code. For developers who are familiar with logging frameworks such as log4j or logback, an analogy helps to describe Perf4J:

Perf4J is to System.currentTimeMillis() as log4j is to System.out.println()

How is this relevant to Perf4J? Consider that before good logging frameworks were widely available, developers new to Java would often print debugging statements using System.out.println(). Later they would discover they wanted log statements to go to a dedicated file, perhaps a log file that was rolled daily. Then they would discover they wanted finer control of which log statements would be written, and they wanted it to be possible to only have some log statements written in some environments without changing any code. Thus, the full set of features that log4j provides comes out of the original desire to have a "better" System.out.println() for logging statements.

Similarly, when new Java developers discover that they need to time specified blocks of code for performance logging and monitoring reasons, they often do something like this:

long start = System.currentTimeMillis();

System.out.println("ms for block n was:"+(System.currentTimeMillis() - start));

What is special in Perf4j

Only caliculating time of execution no not only that have option to create graphs, such as aggregated performance statistics like mean, minimum, maximum, standard deviation and transactions per second over a set time span. They would like graphs of these values in real time to detect problems on a running server, or they would like to expose performance metrics through JMX. In addition, they want their timing statements to work with the common logging frameworks like log4j (and, more recently, SLF4J).

Perf4J provides these features and more:

  • A simple stop watch mechanism for succinct timing statements.
  • A command line tool for parsing log files that generates aggregated statistics and performance graphs.
  • Easy integration with the most common logging frameworks and facades: log4j, java.util.logging, Apache Commons Logging and SLF4J (including logback).
  • Custom log4j and logback appenders to generate statistics and graphs in a running application.
  • The ability to expose performance statistics as JMX attributes, and to send notifications when statistics exceed specified thresholds.
  • A servlet for exposing performance graphs in a web application.
  • A Profiled annotation and a set of custom aspects that allow unobstrusive timing statements when coupled with an AOP framework such as AspectJ or Spring AOP.
  • An extensible architecture.


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