8 JProbe Introduction to This Guide 9 JProbe Documentation Suite that require a third-party application. The JProbe Profiler. Information about JProbeTM from Sitraka is available at http :// After JProbe is installed using the following. 09, 08 · Performance Zone · Tutorial. Like (2). Comment (34). Save. Tweet. k Views. Join the DZone community and get the full member.

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I don’t need any special preparation or setup: Auto-Map Objects 80 Percent Faster.

JProbe The Java code, memory, and coverage profiler is back

We will compare the snapshot that was run against our new code with the snapshot we ran against the code with the loitering object. In this graph, each method gets a color according to its’ contribution to the overall performance. The JProbe Console is the common user interface launched as an individual application in the JProbe Suite from which you can analyze session data collected by the JProbe Analysis Engine.

With the new code in place and running, we perform the same problematic use case as before while monitoring the heap activity in Jpdobe Memory Debugger. Why should you choose JProbe over its competition?

We continue our performance investigation of the stock price charting servlet by working with the application in JProbe Profiler. Again, we open the snapshot file and see that the application is spending the most time in assignData exclusive of the methods that assignData calls. I found this list of open source Java profilers and wasted about hours running through it.

In its initial release, JProbe’s Eclipse plug-in supports memory analysis of JProbe generated heap snapshots and JVM generated heap dumps, as well as coverage snapshots Subsequent releases will allow jprobd to capture and analyze memory, coverage, and performance snapshots all from within Eclipse.


The use case that we are testing against in this example is the rendering of multiple stock charts to an end user, one at a time.

JProbe Profiler helps you diagnose, repair, and validate code changes for Java efficiency issues related to inefficient algorithms. Very simple to use, compared to tools in its’ class. The example application used in this article is a stock price charting servlet deployed in an Apache Tomcat 4. JProfiler will simply provide the results faster. All of these views can be exported to a readable HTML format, including the graphs.

A loitering object is an object that is determined to be reachable by the garbage collector, but is no longer in use by your application.

tutoial The first use case to perform is to view the stock charts tuhorial several stocks. JProbe Memory Debugger can monitor sessions in real-time and capture snapshots for analysis at a later time. Once you select an option you’ll see some explanation in the dialog itself, so there’s no need to start looking for documentation. For now, we will just hide this information and proceed with investigating the performance characteristics of our own code.

You will be sent an email to validate the new email address. Some options include filtering packages, classes, or methods and whether we want session data at the method, or line level. I don’t believe profiling is an art which should be left to dedicated performance teams my former employer took that approachmostly because it is the combination of knowing the code and mastering the profiling technique which yields the best results.

JProbe Memory Debugger is a highly use case-oriented tool. For each method you can expand the callers and methods being invoked.

If we move along the object graph to the StockChartDataSource class, we can right-click on the reference and select Remove Reference from the pop-up menu to model the result if we changed our code to properly remove the reference. Snapshot data consists primarily of code timings, object instance summaries, and object references.


JProbe Profiler and JProbe Memory Debugger allow you to analyze application performance in two session types, local session monitoring see Figure 1-A and remote session monitoring see Figure 1-B.

JProbe Coverage assists development and quality assurance teams in locating unexecuted code, making it easier to assess the reliability and accuracy of unit test and user acceptance test runs.

Opinions expressed by DZone contributors are their own. We continue to perform the use case and navigate through four of our favorite stocks.

The Method Detail Window shows assignData taking a cumulative time of 4, ms, and a method time of 4, ms. As we remove the reference, the Memory Leak Doctor informs us that by removing this reference, the yutorial can now be garbage collected see Figure 6-B. Integrating with popular Application Servers is a simple task with JProbe?

JProfiler: Your Java Code Could be Running Faster in Under Two Hours

Since we cannot modify code in a third-party component, we can hide this information while we are analyzing the profiling data by right clicking on the node in the Call Graph window and selecting the Prune Subtree option. Your source of Java performance news. The Application Server Integration can then be saved to a globally accessible directory for use by other developers. As we monitor the heap usage graph, we switch to the Garbage Monitor tab to determine if there are any methods that excessively allocate temporary objects.

JProbe Profiler combines a visual Call Graph interface and sophisticated data collection technology to provide highly accurate performance diagnostics to help you identify performance problems down to the offending line of code.