Table of Contents
Demystifying Java Memory Pool: Delving into the Hierarchy
Heap Memory
Non-Heap Memory
Home Java javaTutorial What are the Different Memory Pools in Java and How Do They Function?

What are the Different Memory Pools in Java and How Do They Function?

Nov 10, 2024 am 10:58 AM

What are the Different Memory Pools in Java and How Do They Function?

Demystifying Java Memory Pool: Delving into the Hierarchy

In the realm of Java development, the memory pool serves as a crucial aspect. When delving into the depths of monitoring a Java application with jconsole, you're presented with an array of options that may leave you perplexed. This discourse will illuminate the distinctions between heap and non-heap memory pools and their constituent sub-pools.

Heap Memory

At its core, the heap memory is the primary arena where the Java Virtual Machine (JVM) allocates memory for both class instances and arrays. Its malleability permits it to expand dynamically to accommodate escalating memory demands. Within the heap memory realm, a structured hierarchy divides memory into distinct pools:

  • Eden Space: This pool serves as the initial allocation site for the majority of objects. Newly created instances reside here, awaiting the garbage collector's judgment.
  • Survivor Space: A haven for objects that have outlived their initial encounter with the garbage collector, the survivor space provides them a temporary respite from oblivion.
  • Tenured Generation (or Old Gen): The final resting place for seasoned objects, the tenured generation houses objects that have endured multiple garbage collection cycles.

Non-Heap Memory

Beyond the confines of heap memory, the non-heap memory domain remains dedicated to the internal machinations of the JVM itself. It segregates specific memory segments for critical operations:

  • Permanent Generation: This pool stockpiles reflective data pertaining to the virtual machine itself, encompassing class and method objects. Java VMs utilizing class data sharing partition this generation into read-only and read-write sub-spaces.
  • Code Cache: A sanctuary for compiled code, the code cache guarantees lightning-fast access to native code, elevating application performance.

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