IBM Pattern Modeling and Analysis Tool for Java Garbage Collector
A tool that parses verbose GC trace, analyzes Java heap usage, and recommends key configurations based on pattern modeling of Java heap usage.
Date Posted: April 12, 2005
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Update: May 6, 2008
Version 2.2 fixes defects in parser.
What is Pattern Modeling and Analysis Tool for IBM Java Garbage Collector?
Pattern Modeling and Analysis Tool for IBM® Java™ Garbage Collector (PMAT) parses verbose GC trace, analyzes Java heap usage, and recommends key configurations based on pattern modeling of Java heap usage.
When the JVM (Java virtual machine) cannot allocate an object from the current heap because of lack of space, a memory allocation fault occurs, and the Garbage Collector is invoked. The first task of the Garbage Collector is to collect all the garbage that is in the heap. This process starts when any thread calls the Garbage Collector either indirectly as a result of allocation failure or directly by a specific call to System.gc(). The first step is to get all the locks needed by the garbage collection process. This step ensures that other threads are not suspended while they are holding critical locks. All other threads are then suspended. Garbage collection can then begin. It occurs in three phases: Mark, Sweep, and Compaction (optional).
Verbose GC is a command-line option that one can supply to the JVM at start-up time. The format is: -verbose:gc or -verbosegc. This option switches on a substantial trace of every garbage collection cycle. The format for the generated information is not designed and therefore varies among various platforms and releases.
This trace should allow one to see the gross heap usage in every garbage collection cycle. For example, one could monitor the output to see the changes in the free heap space and the total heap space. This information can be used to determine whether garbage collections are taking too long to run; whether too many garbage collections are occurring; and whether the JVM crashed during garbage collection.
How does it work? PMAT analyzes verbose GC traces by parsing the traces and building pattern models. PMAT recommends key configurations by executing a diagnosis engine and pattern modeling algorithm. If there are any errors related with Java heap exhaustion or fragmentation in the verbose GC trace, PMAT can diagnose the root cause of failures. PMAT provides rich chart features that graphically display Java heap usage.
The following features are included:
- GC analysis
- GC table view
- Allocation failure summary
- GC usage summary
- GC duration summary
- GC graph view
- GC pattern analysis
- Zoom in/out/selection/center of chart view
- Option of changing chart color.
Further information is available in this Webcast replay: "How to analyze verbosegc trace with IBM Pattern Modeling and Analysis Tool for IBM Java Garbage Collector".
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| | About the technology author(s):
 | Jinwoo Hwang is a software engineer, a team leader, and a technical leader within the WebSphere® Application Server Technical Support team, which is based in Research Triangle Park, N.C. He joined IBM in 1995 and worked with IBM Global Learning Services, IBM Consulting Services, and development prior to his current position. Mr. Hwang is an IBM Certified Solution Developer as well as a SUN Certified Programmer for the Java 2 platform. He is the architect and developer of the following tools:
Mr. Hwang is also the author of the book C Programming for Novices (Yonam Press, 1995).
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Java and all Java-based trademarks are trademarks of Sun Microsystems, Inc. in the United States, other countries, or both.
IBM and WebSphere are trademarks of IBM Corporation in the United States, other countries, or both.
Other company, product, or service names may be trademarks or service marks of others.
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