I don't think the JIT can optimize that whole method away, but in some extreme cases it might convert the getShape() into something specialized for a single path, and recompile again for the next path. That's a prime example of something that should be pulled out of the inner loop. Launch YourKit Java Profiler from the Windows host’s Start menu. Create a Monitor Remote Application to collect snapshots. ![]() This port needs to be open on the WebSphere server's firewall. ntains() creates a bounding shape each time it's called, so you end up creating the same shape again and again. The YourKit Java Profiler on a Windows host will communicate to the WebSphere server on its default TCP port of 10001. (like some heavy calculations that could go out of tight loops)Īfter looking at your code, in a big loop on Literas.prepareLiteras(), you're continuously calling ntains(p) with different points but the same path. very non-optimal code at the source level.not the code but something else (like file or database caches).it can only do 'static' optimizations)īut in the end, if you're getting so high improvement (30x is a lot!), it's quite likely that it's either This can cause a situation that may be impossible to debug with Java profilers. to load all profiling data except for the heap content this feature helps working with huge memory snapshots. In other words: without real data, the JVM won't do a good job optimizing code. Much has been written on how to debug production memory leaks in Java. > Click here for The Complete Free Training On JMeter. Heap Memory and Non-Heap memory both can be calculated using the same tool. Also, gives you the number of threads running and the Daemon Threads. ![]() Or even it could be reoptimized more than once when circumstances change. Java Kit profiler gets attached to your JMeter and gives you an inside picture of the resources utilized when a certain amount of load is put. It's even possible that the JITted code is different on different runs because of different input data. JVMPI, the profiling interface in Java 1.4, makes a copy of Java heap data to a temporary allocated block of memory and then provides the block to profiler agent, by specifying start and end addresses of the block. The JIT optimizations work so well precisely because they optimize what your code actually does, and not what it could do in different instances.
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