HOW TO USE ECLIPSE MEMORY ANALYZER HOW TO
HOW TO USE ECLIPSE MEMORY ANALYZER DOWNLOAD

HOW TO USE ECLIPSE MEMORY ANALYZER DOWNLOAD

Visit URL to download the Memory Analyzer Tool.

It is very simple to use and gives a lot of info. Use the Memory Analyzer to analyze productive heap dumps with hundreds of millions of objects, quickly calculate the retained sizes of objects, see who is preventing the Garbage Collector from collecting objects, and run a report to automatically extract leak suspects. The Eclipse Memory Analyzer is a fast and feature-rich Java heap analyzer that helps to find memory leaks and reduce memory consumption.

HOW TO USE ECLIPSE MEMORY ANALYZER HOW TO

It's fast, easy to use and free.To show where to obtain and quick overview of how to use the the free Eclipse Memory Anal yzer Tool (MAT) to view a JVM Heap Dump to help in troubleshooting JVM issues. If you ever have to analyze a heap dump I would recommend to use Eclipse Memory Analyzer. Next, to the statistical views there is also an automatic leak hunter available to help you figure out the problem as fast as possible. Once you have the heapdump on your screen the dominator tree view is the most useful view and can give you a very good insight on what was loaded when the server ran out of memory.

This makes the processing of the heapdump very fast and once you've parsed the entire heapdump, reopening it is a piece of cake, because it does not have to process it all over again. One of the great things about Eclipse Memory Analyzer is that it starts indexing the heapdumps on first load. Eclipse MAT was able to analyze this file within 5-10 minutes.

On a laptop with only 4 Gb this will not fit. All the other analyzers were unable to handle a file of this size. Apparently some of these tools tried to load the entire file into memory. Eclipse Memory Analyzer was actually the only heap dump analyzer that was able to handle a heap dump of this size on my MacBookPro. I was surprised to see that most of the above applications were unable to handle a file of this size. The products range from commercial to open source and these are the ones that I tried with my 4Gb. Now you have the heap dump and want to figure out what was inside the heap at the moment the OOME occurred. There are several Java heap dump analyzers out there, where most of them can do more then just heap analysis. So if you have set your max heap size to -Xmx512m, your heap dump will be around that size. The size of the heap dump is around the same size as the configured max heap size JVM parameter. Automatically by providing the following JVM command line parameter:.Manually: by using 'jmap', which is available since JDK 1.5.This heap dump will be generated in the HPROF binary format. In case your application server runs out of memory you can instruct the JVM to generate a heap dump when an OOME occurs. Most of my clients run on the Sun(Oracle) JVM, so I will try to keep this post focussed on the instructions for the Sun JVM. To get an insight on what the application was doing at the moment the OOME occurred, we configured the JVM to create a memory(heap) dump/snapshot at the moment that the OOME was thrown. If your application is running, it's hard to see what objects allocate memory. I was glad to find out it was not a memory leak, but more a warning that the total size of requests could allocate a lot of memory. It turned out that this was related to the amount and type of requests being handled by the application server. You might have guessed it, because only a couple of minutes later we were represented with the OOME message in the server log. Let's say from 2 Gb the memory footprint went up to 4GB. The web application was running in Tomcat 6 and it appeared that at a certain point in time, the JVM tried to allocate twice the average memory it was using. There are several causes for such an exception, but the most obvious is that there is memory leak somewhere in the application.Īt one of my recent projects we were having some memory related issues on one of the production machines. The garbage collector inside the JVM will remove most waste, but what happens when not all waste can be removed or something is wrong inside the application? This may result in an exception that probably a lot of developers and system administrators have seen before: (OOME). Most developers working with Java hardly have to think about the memory footprint of their application that they wrote.

How to use eclipse memory analyzer