7/11/2023 0 Comments Committed memory![]() Configuring the option doesn't have any performance impact on your environment, so you can enable it in a production environment. The -XX:HeapDumpOnOutOfMemoryError option provides critical information about out-of-memory errors. The heap dump can help you find the cause. Detecting out-of-memory errorsĮnabling the -XX:HeapDumpOnOutOfMemoryError option generates a heap dump when an allocation from the Java heap could not be satisfied and the application fails with an OutOfMemoryError. Your production heap size should be at least 25% to 30% higher than the tested maximum to allow room for overhead. Next, test your application with the expected production load in a development environment to determine the maximum heap memory usage. Excessive allocation is often due to a memory leak. If garbage collections are happening too often or contributing to a significant percentage of your CPU, the first thing to do is check whether your application is allocating memory unnecessarily. For instance, when full collection events happen too often, they cause high CPU usage on the application server, resulting in poor application request processing. Garbage collection can have a negative and unpredictable impact on Java application performance if it is improperly tuned. This article goes into more depth about memory use in the Java Virtual Machine (JVM) and how to control it. The previous article introduced the stages and levels of garbage collection (including generational garbage collection) and showed how to check garbage collection behavior in your applications. This is the second article in a series that explains garbage collection in Java and how to tweak it for optimal Java application performance.
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