Permgen Memory Error
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API Home » Java » Understanding and avoiding the Java Permgen Space error 36 Understanding and avoiding the Java Permgen Space error - Steffen permgen space tomcat Luypaert Share Tweet Posted by Steffen Luypaert on Jul 24, 2011 in
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Java Java Performance PermGen In this article, I look into what it means when a Java program runs error:out of memory: permgen space android studio into a OutOfMemoryError: PermGen Space error. I first explain what the permanent generation heap space is, after which I explain the usual cause of the Permgen Space error and permgen space weblogic I give some pointers on how to avoid it. Introduction Usually, we do not look into JVM intrinsics. We take the JVM as is. Some of the world’s finest engineers are working on the JVM(s) and I am sure we can’t improve their work, definitely not without getting seriously involved. However, as a Java developer, you are often
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confronted with performance issues, usually working memory related. The problem I run into most is the dreaded OutOfMemoryError: PermGen Space error. I thought it would be nice to know more about it, so I looked into what causes it exactly. Java memory structure To understand the error, we have to look into how the jvm memory is structured. There are two memory regions in the JVM: the heap and the stack. Local variables and methods reside on the stack, everything else on the heap. This Java heap memory is structured again into regions, called generations. The longer an object lives, the higher the chance it will be promoted to an older generation. Young generations(such as Eden on Sun JVM) are more garbage collected than older generations(survivor and tenured on Sun JVM). However, there is also some separate heap space called permanent generation. Since it is a separate region, it is not considered part of the Java Heap space. Objects in this space are relatively permanent. Class definitions are stored here, as are static instances.
API Home » Java » Understanding and avoiding the Java Permgen Space error 36 Understanding and avoiding the Java Permgen Space error - Steffen Luypaert permgen space gradle Share Tweet Posted by Steffen Luypaert on Jul 24, 2011 in Java permgen space java 8 Java Performance PermGen In this article, I look into what it means when a Java program runs
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into a OutOfMemoryError: PermGen Space error. I first explain what the permanent generation heap space is, after which I explain the usual cause of the Permgen Space error and I http://www.integratingstuff.com/2011/07/24/understanding-and-avoiding-the-java-permgen-space-error/ give some pointers on how to avoid it. Introduction Usually, we do not look into JVM intrinsics. We take the JVM as is. Some of the world’s finest engineers are working on the JVM(s) and I am sure we can’t improve their work, definitely not without getting seriously involved. However, as a Java developer, you are often confronted with http://www.integratingstuff.com/2011/07/24/understanding-and-avoiding-the-java-permgen-space-error/ performance issues, usually working memory related. The problem I run into most is the dreaded OutOfMemoryError: PermGen Space error. I thought it would be nice to know more about it, so I looked into what causes it exactly. Java memory structure To understand the error, we have to look into how the jvm memory is structured. There are two memory regions in the JVM: the heap and the stack. Local variables and methods reside on the stack, everything else on the heap. This Java heap memory is structured again into regions, called generations. The longer an object lives, the higher the chance it will be promoted to an older generation. Young generations(such as Eden on Sun JVM) are more garbage collected than older generations(survivor and tenured on Sun JVM). However, there is also some separate heap space called permanent generation. Since it is a separate region, it is not considered part of the Java Heap space. Objects in this space are relatively permanent. Class definitions are stored here, as are static instances. Without getting in
thread "DefaultQuartzScheduler_QuartzSchedulerThread" java.lang.OutOfMemoryError: PermGen space Exception in thread "http-80-Processor1" java.lang.OutOfMemoryError: PermGen space Exception in thread "http-80-Processor2" java.lang.OutOfMemoryError: https://confluence.atlassian.com/confkb/confluence-crashes-due-to-outofmemoryerror-permgen-space-126910596.html PermGen space Exception in thread "com.mchange.v2.async.ThreadPoolAsynchronousRunner$PoolThread-#1" java.lang.OutOfMemoryError: PermGen space Cause https://confluence.atlassian.com/confkb/how-to-fix-out-of-memory-errors-by-increasing-available-memory-154071.html If you get the error message: java.lang.OutOfMemoryError: PermGen space this means that you have exceeded Java's fixed block for loading class files. Permanent Generation Memory, unlike Java heap space, is the memory allocation for the classes themselves as opposed to the permgen space objects created. The addition of more plugins contributes to more consumption of PermGen space. The error occurs when enough classes are invoked. Resolution This is only relevant for Confluence 5.7 and below as Java 8 manages PermGen automatically. To avoid this in the future follow the steps detailed in the guide permgen memory error How to fix out of memory errors by increasing available memory. Find the instructions on how to increase the Permanent Generation Space. Make sure to change -XX:MaxPermSize rather than the Heap Space Parameters. Confluence doesn't require a huge amount of PermGen memory, so if you find that you need to increase it to more than 512MB this could indicate a problem with either the application or an installed addon. Was this helpful? Yes No Thanks for your feedback! Why was this unhelpful? It wasn't accurate It wasn't clear It wasn't relevant Submit feedback Cancel Have a question about this article? See questions about this article Powered by Confluence and Scroll Viewport Atlassian Support Ask the community Provide product feedback Contact technical support Atlassian Privacy Policy Terms of use Security Copyright © 2016 Atlassian Except where otherwise noted, content in this space is licensed under a Creative Commons Attribution 2.5 Australia License.
in Atlassian Cloud apps, the contents of this article cannot be applied to Atlassian Cloud applications. Purpose Java applications like JIRA, Crowd and Confluence run in a "Java virtual machine" (JVM), instead of directly within an operating system. When started, the Java virtual machine is allocated a certain amount of memory, which it makes available to applications like Confluence. By default, Java virtual machines are allocated 64Mb of memory, no matter how many gigabytes of memory your server may actually have available. 64Mb is inadequate for most Confluence installations, and so this needs to be increased. Diagnosis Expand to see diagnosis section Determine type of error message Look in the atlassian-confluence.log to see which type of OutOfMemory Error you're receiving. There are three common messages: Heap Space Perm Gen Space GC Overhead This document discusses increasing memory to address PermGen and Heap space errors. Follow the links above to assess root causes for each issue. For GC Overhead, refer to Confluence Crashes Due to 'java.lang.OutOfMemoryError GC overhead limit exceeded'. Determine Confluence's usage patterns In Confluence, go to Confluence Administration > System Information , and look at the memory graph during times of peak usage: This server has been allocated a maximum of 650Mb and a minimum of 256m. You can see the minimum displayed here; if you're trying to see whether your settings are being picked up, this is where to look. Determine available system memory On Windows From the Close Programs Dialogue (Press ctrl-alt-delete), select the Performance tab: The amount marked Available is the amount in kilobytes you have free to allocate to Confluence. On this server we should allocate at most 214Mb. On Linux Run cat /proc/meminfo to view the memory usage. Setting the -Xmx above the available amount on the server runs the risk of OutOfMemoryErrors due to lack of physical memory. If that occurs the system will use swap space, which greatly decreases performance. Guidance The default values supplied with Confluence stand-alone are sufficient for most installations. Please refer to Managing Application Server Memory Settings and Server Hardwar