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Table of Contents
View real-time performance data using VisualVM
Quick diagnosis with command line tools jstat and jmap
Include monitoring logic in the code (for specific scenarios)
Basically these common methods
Home Java javaTutorial How to profile CPU and memory usage of a Java application?

How to profile CPU and memory usage of a Java application?

Jul 12, 2025 am 02:08 AM
Java Performance Analysis CPU memory analysis

To understand the CPU and memory usage of Java applications, you can use the following methods: 1. Use VisualVM to view real-time performance data, including heap memory, GC situation and thread analysis; 2. Use jstat and jmap command line tools to diagnose GC behavior and generate heap snapshots; 3. Add monitoring logic to the code to estimate memory changes. These methods are applicable to graphical interface debugging, server environment inspection and specific logical observations, and can be flexibly selected according to the actual scenario.

How to profile CPU and memory usage of a Java application?

To understand the CPU and memory usage of Java applications, there are actually many practical methods and tools to use. The core idea is to obtain resource consumption data by monitoring, sampling or analyzing the internal state of the JVM. Here are some common and effective practices.

How to profile CPU and memory usage of a Java application?

View real-time performance data using VisualVM

VisualVM is a graphical tool that connects local or remotely running Java applications and demonstrates CPU and memory usage trends. It also performs thread analysis and heap Dump checking.

  • Add JMX parameters (optional) when starting the application, so as to facilitate remote connection
  • Open VisualVM and select the corresponding application process
  • Switch to the "Surveillance" tab to see heap memory, GC status and class loading information
  • Click "Sampler" to enable sampling analysis of CPU or memory

This method is suitable for quick viewing of overall performance, especially when debugging the development environment.

How to profile CPU and memory usage of a Java application?

Quick diagnosis with command line tools jstat and jmap

If you don't have a graphical interface on the server, jstat and jmap come in handy.

jstat is mainly used to observe GC behavior:

How to profile CPU and memory usage of a Java application?
 jstat -gc <pid> 1000

This command will output the garbage collection status of the specified process once a second, including the usage of the Eden area and the elderly, etc.

jmap can generate heap snapshots or view object statistics:

 jmap -heap <pid>

This command displays the configuration and usage of the current heap.

You can also use:

 jmap -dump:live,format=b,file=heap.bin <pid>

Export the heap dump file, and you can use MAT (Memory Analyzer) to analyze memory leak problems in the future.

These commands are simple and direct, suitable for script integration or temporary troubleshooting.

Include monitoring logic in the code (for specific scenarios)

Sometimes you want to know the impact on resources when a certain piece of logic is executed, you can add some widgets to the code.

For example, record the start and end times, and obtain memory usage with the Runtime class:

 Runtime runtime = Runtime.getRuntime();
long startMemory = runtime.totalMemory() - runtime.freeMemory();

// Execute the operation long endMemory = runtime.totalMemory() - runtime.freeMemory();
System.out.println("Used memory increased by " (endMemory - startMemory));

This approach is primitive, but practical in some lightweight testing or embedded environments. However, it should be noted that this type of data is only estimates and cannot completely replace professional tools.

Basically these common methods

The methods mentioned above have their own applicable scenarios: Graphic tools are suitable for fast positioning problems, command line tools are suitable for server environments, and code insertion is suitable for fine-grained observations of specific logic. In actual work, you can flexibly choose according to the environment and needs.

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