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Table of Contents
Remote debugging: It's not just adding a parameter
Performance analysis using Java Flight Recorder (JFR)
Use MAT to analyze memory leak issues
Quickly diagnose online problems with Arthas
Home Java javaTutorial Advanced Java Debugging Techniques and Tools

Advanced Java Debugging Techniques and Tools

Jul 20, 2025 am 01:00 AM

Advanced Java debugging techniques include remote debugging, JFR performance analysis, MAT memory leak detection, and Arthas online diagnosis. Remote debugging requires attention to port opening and performance impact, and dynamic connections can be used in additional modes; enable JFR and cooperate with JMC analysis threads, GC and method hotspot paths, suitable for low overhead monitoring in production environments; load heap dump files through MAT to view Dominator Tree, Histogram and Leak Suspects Report to locate memory leaks; use Arthas' trace, watch, thread and jad commands to achieve intrusive runtime diagnosis, and improve problem-solving efficiency.

Advanced Java Debugging Techniques and Tools

Java debugging is not just about breaking points and looking at variables. Especially when dealing with complex applications, concurrency problems or performance bottlenecks, conventional debugging methods are often not enough. At this time, some more advanced skills and tools are needed to help you locate problems.

Advanced Java Debugging Techniques and Tools

Remote debugging: It's not just adding a parameter

Remote debugging is one of the most common advanced usages in Java debugging. You may know that remote debugging can be started with -agentlib:jdwp parameter, but when you really use it, there are several details that are easy to ignore.

  • Ensure that the port is accessible : Firewall, network policies may prevent the IDE from connecting to the target JVM.
  • Avoid affecting performance : Turning on debug mode will affect performance, especially in production environments. It is recommended to enable it only if necessary.
  • Use attachment mode : Sometimes you don't want to start debugging at the beginning, but instead want to dynamically attach the debugger during operation.

If your application is deployed in Kubernetes or Docker environment, remember to map the debug port and add the corresponding JVM parameters to the startup command.

Advanced Java Debugging Techniques and Tools

Performance analysis using Java Flight Recorder (JFR)

JFR is a low-overhead performance analysis tool that comes with JVM, suitable for use in production environments. It can record key information such as thread status, GC behavior, class loading, lock competition, etc.

To enable JFR, you can add the following JVM parameters:

Advanced Java Debugging Techniques and Tools
 -XX: UnlockCommercialFeatures -XX: FlightRecorder

Then you can open the recorded .jfr file through Java Mission Control (JMC) for analysis. for example:

  • View thread blocking and waiting events
  • Analyze the frequency and time consumption of GCs
  • Find the hotspot path of the method call

The advantage of JFR is that it has very little impact on performance and is suitable for crawling data in a real environment.

Use MAT to analyze memory leak issues

Memory leaks are one of the most common problems in Java applications, especially long-running services. MAT (Memory Analyzer) is a powerful tool specially used to analyze heap dumps.

You can automatically generate a heap dump when an OutOfMemoryError occurs:

 -XX: HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/path/to/dumps

After opening with MAT, focus on:

  • Dominator Tree : See which objects occupy the most memory
  • Histogram : Check the number of instances of a class and find the class with abnormal growth
  • Leak Suspects Report : MAT will automatically generate a possible leak point report

With this information, you can locate unfreed objects and their reference chains to find the source of the real memory leak.

Quickly diagnose online problems with Arthas

Arthas is an open source Java diagnostic tool from Alibaba, which is especially suitable for quickly positioning problems in production environments. It supports function such as method call tracing, thread analysis, class loading viewing, etc.

For example, if you want to see the time-consuming call of a certain method, you can use the trace command:

 trace com.example.MyService myMethod

You can also:

  • Use watch command to observe the incoming parameters and return values of the method
  • Use thread to view the current thread status and find the blocking thread
  • Decompile the class file through jad to confirm the code version loaded at runtime

The advantage of Arthas is that it does not require modifying the code or restarting the application. You can start diagnosis by attaching it to the JVM.

Basically, these commonly used advanced debugging methods. If used well, it can save a lot of time to troubleshoot problems.

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