jstat is a JVM command-line tool, which shows you a number of statistics regarding how the JVM is performing. In this recipe, we use jstat to understand the size of the permanent generation.
You will need the SOA Suite installed for this recipe, and will need permission to execute the domain control scripts, as well as the JVM tools. This recipe assumes that your SOA Suite application is running under a normal load.
The tools jps and jstat are included with both the HotSpot and JRockit JVMs. For brevity, this recipe assumes that you have the relevant bin directory on your path. If you do not, simply use the fully qualified paths to the relevant bin directory.
This recipe assumes you are using HotSpot, as JRockit does not have a permanent generation.
Use JPS to determine the process ID of your SOA Suite server, see step 1 of the Identifying New Size Problems with jstat recipe.
Use the
jstatcommand to view the sizes of the survivor spaces and eden:jstat -gc -h10 <pid> 2000
The metrics we are interested in are
YGCC,YGCT,FGCC, andFGCT. These are the young garbage collection count, young garbage collection time, full garbage collection count, and full garbage collection time.
jstat is a JVM tool that can be used to view a number of runtime statistics regarding the JVM. The option –gc prints statistics about garbage collection, including the capacity and utilization of each memory pool. In the preceding example, the parameter –h10 prints the headers every 10 lines, to make the output easier to read, and 2000 is the time in milliseconds between each sample (2 seconds).
Since garbage collection is a "stop the world" activity, any time spent garbage collecting is not the time spent in executing your business logic. We therefore want to minimize the amount of time spent in performing garbage collection. See the chapter on garbage collection for more details on what we are looking to achieve with garbage collection tuning.
In Chapter 5, JVM Garbage Collection Tuning, we also pass the JVM a startup option to enable verbose GC logging output, so we can capture this data all the time.
We can then run free tools such as GCviewer (http://www.tagtraum.com/gcviewer.html) on this data output to visualize the data trends. Later in this chapter, we will introduce using real-time monitoring tools bundled with the JVM to view this same data.
The Identifying performance problems using VisualVM on HotSpot and Identifying performance problems with jrmc on JRockit recipes
The Tuning to reduce the number of major garbage collections and Turning on verbose garbage collection recipes in Chapter 5, JVM Garbage Collection Tuning