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Table of Contents
What is Stack Overflow?
Common reasons and suggestions:
What is Heap Dump? When will it be generated?
Common scenarios that trigger Heap Dump:
How to analyze Heap Dump?
The relationship between Stack Overflow and Heap Dump
Home Java javaTutorial Understanding Java Stack Overflows and Heap Dumps

Understanding Java Stack Overflows and Heap Dumps

Jul 16, 2025 am 02:46 AM

Stack Overflow is an error caused by the depth of the thread call stack exceeding the JVM limit. It is common in infinite recursion or too deep recursion. It can be prevented by avoiding deep recursion and setting a reasonable stack size; Heap Dump is a heap memory snapshot generated by the JVM in memory overflow and other situations. It is used to analyze memory leaks and object occupations. It can be triggered by OutOfMemoryError, jmap or JVM parameters. Common tools include Eclipse MAT, VisualVM and jhat; although the two are not directly related, Stack Overflow may indirectly raise OutOfMemoryError, thereby generating Heap Dump. When troubleshooting, you should first check the code logic, and then analyze memory usage in combination with Heap Dump.

Understanding Java Stack Overflows and Heap Dumps

During the running process, Java applications sometimes crash due to memory or call stack problems. Among them, Stack Overflow and Heap Dump are two common phenomena, which reflect the exceptions of the program in terms of call stack depth and heap memory, respectively. If you are troubleshooting Java application crashes, it is very important to understand both.

Understanding Java Stack Overflows and Heap Dumps

What is Stack Overflow?

Stack Overflow refers to the maximum depth allowed in a Java virtual machine (JVM). Each thread has a private call stack that saves the frame information of the method call. When the recursive call is too deep or the methods are nested too much, it may cause the stack space to be exhausted, thereby throwing java.lang.StackOverflowError .

Common reasons and suggestions:

  • Infinite recursion : For example, writing a recursive function without a termination condition.
  • Recursion level is too deep : Although it is not infinite recursion, the number of call layers exceeds the default stack size.
  • The thread stack size setting is unreasonable : The default thread stack size of the JVM is usually 1MB (depend on the platform for details), and can be adjusted through the -Xss parameter.
 - Avoid using deep recursion and prioritize rewriting to loop structures.
- If recursion must be used, make sure there is a clear termination condition.
- For applications with more concurrent tasks, appropriately reduce the thread stack size (such as -Xss256k) to avoid memory waste.

Note: Increasing the stack size does not fundamentally solve the problem, but may conceal the real logical flaws.

Understanding Java Stack Overflows and Heap Dumps

What is Heap Dump? When will it be generated?

Heap Dump is a snapshot file generated by the JVM in the event of an OutOfMemoryError or other specified situation, recording the status of all objects in the heap memory. It is very useful for analyzing memory leaks, large object occupancy and other issues.

Common scenarios that trigger Heap Dump:

  • The program throws OutOfMemoryError
  • Manually triggered via jmap or JMX
  • Automatically trigger using JVM startup parameters:
 -XX: HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=./heapdump.hprof

How to analyze Heap Dump?

Heap Dump files are usually large and require tools to analyze:

Understanding Java Stack Overflows and Heap Dumps
  • Eclipse MAT (Memory Analyzer) : Powerful, suitable for in-depth analysis of memory leaks.
  • VisualVM / JConsole : Lightweight, suitable for initial viewing of object distribution.
  • jhat : JDK comes with command line tools that can be viewed with the browser.

Once you open Heap Dump, you can focus on the following aspects:

  • Which classes have the largest number of instances?
  • Which objects occupy the most memory?
  • Is there an unreleased cache or listener?

The relationship between Stack Overflow and Heap Dump

Although Stack Overflow itself does not directly cause Heap Dump to be generated, if other problems are raised during the exception handling process (such as failure to create an object when trying to print an error log), the chain may raise OutOfMemoryError , which triggers Heap Dump.

Therefore, in some complex systems, it is not uncommon to see a StackOverflowError immediately following an OutOfMemoryError. In this case, Heap Dump may help you find the "last straw that broke the camel's back."


Basically that's it. When encountering this type of problem, first confirm whether it is a logical problem in the code, and then analyze resource usage by combining Heap Dump, you can find the root cause most of the time.

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