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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JProbe 8.0: The Java code, memory, and coverage profiler is back

Your source of Java performance news. When we start our initial performance analysis, we want to get an overview of our application code at a method level to identify methods that may be performance bottlenecks. At this point, we know hutorial our code that our object change counts should be zero. It is more of a question of how you value your time.

For more information, visit www. The problem seems to be repetitive calls in a tight loop that assigns data to the nprobe control. And to fully make use of JProbe inside Eclipse, Quest will be shortly releasing a white paper describing how to exploit JProbe’s automation features to integrate with Eclipse’s Ant support. Tutoriak, loitering objects can compound memory usage problems if that object is acting as an anchor to other objects that would otherwise be marked as unreachable by the garbage collector and therefore removed.

After tackling some obvious pain-points, I had to turn to help of a profiler. We monitor the instance Change Count and then end the use case by logging out of the web page and select the Finish Use Case button. I downloaded JProfiler and installed it using the provided installer.


We only want to investigate the classes that we have written so we put our package name in the Filter Classes combo box of the Instance Summary tab see Figure 4.

What I like most about this window is the two lower bars that give you an estimate on how intensive this profiling session is going to be in terms of memory and CPU usage.

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 developers to capture and analyze memory, coverage, and performance snapshots all from within Eclipse.

None of them worked well. I searched for some other free tools.

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

Tuyorial expressed by DZone contributors are their own. Real-time data provides a view of heap size and dynamic activity including object allocation and garbage collection. Join a community of oversenior developers. We perform the same use case and capture a snapshot of the session data.

As we remove the reference, the Memory Leak Doctor informs us that by removing this reference, the object can now be garbage collected see Figure 6-B.

We continue to perform the use case and navigate through four of our favorite stocks. It is my opinion that every professional developer should uttorial how to profile code.

Once Tomcat has successfully started, we select Start Use Tutrial. The example application used in this article is a stock price charting servlet deployed in an Apache Tomcat 4.

Tool Report: JProbe

The Method Detail Window shows assignData taking a cumulative time of 4, ms, and a method time of 4, ms. See the “Memory Released” column of the highlighted line in Figure 3. We will compare the snapshot that was run against our new code with the snapshot we ran against the code with the loitering object.


Furthermore, JProbe’s automation capabilities the ability to control all aspects of JProbe from an Ant build script provide a mechanism to facilitate “continuous performance testing”, which is an extension to test-driven development and continuous integration that provides support for automatically discovering and profiling unit test cases.

A couple of weeks ago I found myself in a position which is well known to any professional Java developer: We can also use the Snapshot Difference Window to show us that the total performance gain that is visible to the end user is 4, ms I took a few screenshots to show how simple yet powerful is JProfiler.

We can also view the code at the point of allocation for a specific instance and calculate the size of any memory leaks. Once we identify methods that are potential performance?

So we can see that the vast majority of time spent in assignData is within the method, and not as a consequence of calls to any other methods. The Java code, memory, and coverage profiler is back. Like JProbe Memory Debugger, we can monitor sessions in real-time and capture snapshots for analysis at a later time. Subscribe to our industry email notices? JProbe Profiler helps you diagnose, repair, and validate code changes for Java efficiency issues related to inefficient algorithms.

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