Profiling needs to be configured for the VM that will be running the application. If this is the first time that you have run the profiler then the threads and call graph window will be blank. The debugger’s threads and the profiling process are shown here Source is synched with the nodes selected in the Thread Call Graph window The call graph is displayed and can be navigated here Active threads in the VM being profiled are displayed here The windows that are of interest to us are: The perspective will open and you should see a number of new views: You should now see the Profiler perspective in the list of available perspectives: Test the plug-in installation by starting up Eclipse and selecting: Window->Open Perspective->Other… On my installation of Weblogic 8.1, I copied the ProfilerDLL.dll file into D:/bea/jrockit81sp3_142_04/jre/bin Testing the plug-inĮclipse should now have an additional Profiling perspective. Install the DLLįollow the online instructions to install the Profiler DLL: Follow the instructions and unzip the plug-in into Eclipse. Open up the downloaded Jar file and open the readme file. If you are using a different platform, you will need to follow the relevant instructions carefully and browse the web to tap into other people’s experiences to get the Profiler running if you get stuck, you can always try mailing the developers. I have followed the installation for Win32 using Weblogic8.1 with Eclipse 3.0.1 and found that the instructions online worked out-of-the box. You can download the latest version of the Profiler at: The first step you will need to perform is to download and install the Profiler. In order to use the Profiler, you will need to be running Eclipse on one of the supported platforms. The Profiler was written by Konstantin Scheglov and is available as an open source project from Sourceforge: The Eclipse Profiler (also called the Eclipse Colourer) is a free plug-in for the Eclipse IDE that captures and displays JVMPI-generated profiling information. In Java 2, the JVMPI API was introduced to standardise the delivery of profiling information: Īs of JDK1.5, a new API has been introduced called JVMTI: The Eclipse Profiler I have not included a full description here, but an excellent introduction to Java profiling can be found at: This then allows a profiling client to connect to the profiler agent via a socket, capture the profile information and analyse it. The profiling agent spits out information about what methods are being calling and when. In the Java world, profiling is achieved by tweaking the VM so that it runs a profiling agent. Profiling is a technique used to capture information about the execution of code at runtime. is derived from an open source project, allowing you to tailor the sourceĪ snapshot of the profiler in action, displaying a call graph and associated code is shown below:.thins out un-important information in the code such as getters and setters.is self-documenting, providing a view of the code at the point of execution rather than a view created the last time the documentation was updated. allows you to save and re-load analysis information.syncs the call graph with source code so you can navigate the code using the graph as a navigational aid.flattens out OO design and resolves runtime class loading, showing what code actually ran at a particular moment in time.eases the process of analysing large amounts of code.This document describes an analysis technique using the Eclipse Profiler that: Fortunately there is a free plug-in for Eclipse that does a grand job. Hence, when a recent project confronted me with code dozens of function calls deep, I was prompted to look for something that would assist this analysis process and not bust the budget. Furthermore, OO code frequently abstracts in a way that confuses the analyst polymorphism, dynamic data, remote method calls and auto-generated code to name but a few obstacles. There are a number of techniques that help this process, such as the forwards-and-back navigation provided by IDEs like Eclipse, but when there’s a lot of code to analyse then source-code-only analysis can be very difficult to visualise, very error-prone and downright time-consuming. Hence, there comes a time when its necessary to put on the miner’s lamp and clamber through a pile of code and try to understand it. Everyone tries his or her best to create adequate documentation but it’s a rare thing to find a fully documented component that needs no further explanation. In my experience as a software professional, I often have the need to analyse an existing body of code in order to understand it.
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