Java OutOfMemoryError – A tragedy in seven acts | blog.codecentric.de. One day every professional Java programmer will suffer from this exception thrown by his Java application: java.lang.OutOfMemoryError. With a little luck this error will occur during development of the application – if not and it happens in a production environment, you will quickly get a lot of unintentional attention by your management, as a Java OutOfMemoryError normally means that you had an application crash! The reasons for these memory problems in the Java Virtual Maschine are versatile and in many cases not easys to analyze. In our troubleshooting services we see workarounds for these errors every day: Servers are preventevly restarted every night as the heap gets closer and closer to its limits or – even worse – the application regulary crashes with an java.lang.OutOfMemoryError indicating that the hunger of the JVM for more memory was bigger than the available heap.
This is an overview of my Java Memory Tragedy: 1. Act – The Java Memory Architecture. 2. 3. 4. 5. 6. 7. Stop Wasting Money On WebLogic, WebSphere, And JBoss Application Servers. Use Apache Tomcat. It is free. I don’t understand why firms spend millions of dollars on Java application servers like Oracle Weblogic or IBM WebSphere Application Server. I get why firms spend money on Red Hat JBoss -- they want to spend less on application servers. But, why spend anything at all? Apache Tomcat will satisfy the deployment requirements of most Java web applications.
Your Java Web Applications Need A Safe, Fast Place To Run Most Java applications don’t need a fancy container that has umpteen features. Expensive Java Application Servers Sometimes Add Value There is a need for luxury. You need an application container that supports EJBs. Recommendations If you are already deploying large-scale Java web applications on Apache Tomcat, then you already know what I am talking about.
Existing Java web applications. What is your opinion? The Java Memory Architecture (1. Act) | blog.codecentric.de. One of the biggest strength of the Java Platform is the implementation of an automatic memory management in the Java Virtual Maschine. Everybody who has programmed with languages like C/C++ knows about the problems of managing memory allocation and deallocation in the code. With Java problems like deallocating memory too early (corrupted pointer) or too late (memory leak) cannot occur by specification. The question is: Why am I writing these blog entries? The problem is that even with an implicit memory management integrated, Java cannot prevent application of being corrupt in sense of memory management, even it is not allowed to explicitly allocate memory in Java.
This part of the blog series about Java OutOfMemoryError, will introduce the Java Memory Architecture in detail and shows in which memory areas an java.lang.OutOfMemoryError can occur. Lets start by looking at the Javadoc of java.lang.OutOfMemoryError: The method area is responsible for storing class information.
Setting up a Java EE 6 development environment. We Recommend These Resources This tutorial explains in short how to set-up a typical environment to develop Java EE 6 based applications. There is no prerequesite to this tutorial other then a working Windows XP client with sufficient CPU power and memory. During the tutorial we will need to install the following components:Java 6 JDK Update 26Eclipse IDE for Java EE Developers 3.6.2 (Helios)Maven 3.0.3Glassfish 3.1I suggest that you create a folder where you drop all the stuff we need to set-up the environment. My Folder is C:\jee6. I will call that Note: In one of my recent posts I explained how to set-up a Spring environment. In this tutorial we will create a little demo project. Installing Java 6 JDK See this blog post.Installing Eclipse IDE for Java EE Developers See this blog post. Creating the Eclipse Projects using Maven 3 See my Spring blog where I have explained how to set-up Maven and create a Spring project.
Download Glassfish 3.1 Accept the license and select "Finish". Java Collection Performance. Performance of data structures, especially collections is a recurrent subject when coding. If you have never heard about such a topic, here is the chance, otherwise it’s the hundredth time you'll have seen such title, and you are probably thinking “Another article about this topic, I’ll probably not learn anything new, but anyway I’m bored so I’m gonna read it …”. And you are probably 90% right, nothing really new here, but I promise you a couple of colorful and beautiful charts that we don’t have the opportunity to see everyday (and the ability to create your own) . The first time I started wondering about collection performances was when I started working with some > 100 000 elements collections. At that time, I heard some bad jokes such as “I just understood why the Java logo is a cup of coffee, because Java collections are so slow that when manipulating them, you have the time to go and grab some coffee before they do the job … Just kidding’ !”.
02. 04. collection.clear(); 10. 11. 4.
Springframework.