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1. Overview

Thread is the basic unit of concurrency in Java. In most cases, the throughput of an application increases when multiple threads are created to do tasks in parallel.

However, there’s always a saturation point. After all, the throughput of an application depends on CPU and memory resources. After a certain limit, increasing the number of threads can result in high memory, thread context switching, etc. 

So a good starting point in troubleshooting a high memory issue in a Java application is to monitor the number of threads. In this tutorial, we’ll look at some ways we can check the number of threads created by a Java process.

2. Graphical Java Monitoring Tools

The simplest way to see the number of threads in Java is to use a graphical tool like Java VisualVM. Apart from the application threads, Java VisualVM also lists the GC or any other threads used by the application like JMX threads.

Furthermore, it also shows stats like thread states along with their duration:

Java VisualVM

Monitoring the number of threads is the most basic feature in Java VisualVM. Generally speaking, graphical tools are more advanced and allow live monitoring of an application. For example, Java VisualVM allows us to sample our CPU stack traces and thus find a class or a method that may cause CPU bottleneck.

Java VisualVM is distributed with the JDK installation on Windows machines.  For applications deployed on Linux, we need to connect to the application remotely. This requires JMX VM arguments.

Therefore, such tools won’t work if an application is already running without these parameters. In a later section, we’ll see how we can get the number of threads using command-line tools.

3. Java APIs

In some use cases, we may want to find the number of threads within the application itself. For example, to display on monitoring dashboards or exposing it in logs.

In such cases, we rely on Java APIs to get the thread count. Thankfully, there’s an activeCount() API in the Thread class:

public class FindNumberofThreads {
    public static void main(String[] args) {
        System.out.println("Number of threads " + Thread.activeCount());
    }
}

And the output will be:

Number of threads 2

Notably, if we see the number of threads in Java VisualVM, we’ll see more threads for the same application. This is because activeCount() only returns the number of threads in the same ThreadGroupJava divides all the threads into groups for easier management.

In this example, we have just the parent ThreadGroup, i.e., main:

public static void main(String[] args) {
    System.out.println("Current Thread Group - " + Thread.currentThread().getThreadGroup().getName());
}
Current Thread Group - main

If there are many thread groups in a Java application, activeCount() won’t give a correct output. For example, it won’t return the number of GC threads.

In such scenarios, we can use the JMX API:

public static void main(String[] args) {
    System.out.println("Total Number of threads " + ManagementFactory.getThreadMXBean().getThreadCount());
}

This API returns the total number of threads from all thread groups, GC, JMX, etc.:

Total Number of threads 6

As a matter of fact, the JMX graphical tools like Java VisualVM use the same API for their data.

4. Command-Line Tools

Previously, we discussed Java VisualVM, a graphical tool for analyzing live threads in an application. Although it’s a great tool for live visualization of threads, it has a minor impact on application performance. And hence it’s not recommended for production environments.

Moreover, as we discussed, Java VisualVM requires remote connectivity in Linux. And in fact, in some cases, it requires additional configuration. For example, an application running inside a Docker or Kubernetes would require additional service and port configuration.

In such cases, we have to rely on command-line tools in the host environment to get the thread count.

Luckily, Java provides few commands to take a thread dump. We can analyze a thread dump either as a text file or use a thread dump analyzer tool to check the number of threads along with their state.

Alibaba Arthas is another great command-line tool that doesn’t require remote connectivity or any special configuration.

Additionally, we can get information about threads from a few Linux commands as well. For example, we can use the top command to display all the threads of any Java application:

top -H -p 1

Here, -H is a command-line option to display every thread in a Java process. Without this flag, the top command will display combined stats for all threads in the process. The -p option filters the output by process id of the target application:

top - 15:59:44 up 7 days, 19:23,  0 users,  load average: 0.52, 0.41, 0.36
Threads:  37 total,   0 running,  37 sleeping,   0 stopped,   0 zombie
%Cpu(s):  3.2 us,  2.2 sy,  0.0 ni, 93.4 id,  0.8 wa,  0.0 hi,  0.3 si,  0.0 st
MiB Mem :   1989.2 total,    110.2 free,   1183.1 used,    695.8 buff/cache
MiB Swap:   1024.0 total,    993.0 free,     31.0 used.    838.8 avail Mem

  PID USER      PR  NI    VIRT    RES    SHR S  %CPU  %MEM     TIME+ COMMAND
   1 flink     20   0 2612160 304084  29784 S   0.0  14.9   0:00.07 java
  275 flink     20   0 2612160 304084  29784 S   0.0  14.9   0:02.87 java
  276 flink     20   0 2612160 304084  29784 S   0.0  14.9   0:00.37 VM Thread
  277 flink     20   0 2612160 304084  29784 S   0.0  14.9   0:00.00 Reference Handl
  278 flink     20   0 2612160 304084  29784 S   0.0  14.9   0:00.00 Finalizer
  279 flink     20   0 2612160 304084  29784 S   0.0  14.9   0:00.00 Signal Dispatch

As seen above, it shows the thread id, i.e., PID and per-thread CPU and memory utilization. Similar to Java VisualVM, the top command will list all the threads, including GC, JMX, or any other sub-process.

To find the process ID we used as an argument in the above command, we can use the ps command:

ps -ef | grep java

As a matter of fact, we can use the ps command to list the threads as well:

ps -e -T | grep 1

The -T option tells the ps command to list all the threads started by the application:

1     1 ?        00:00:00 java
1   275 ?        00:00:02 java
1   276 ?        00:00:00 VM Thread
1   277 ?        00:00:00 Reference Handl
1   278 ?        00:00:00 Finalizer
1   279 ?        00:00:00 Signal Dispatch
1   280 ?        00:00:03 C2 CompilerThre
1   281 ?        00:00:01 C1 CompilerThre

Here, the first column is the PID, and the second column shows the Linux thread ID for each thread.

5. Conclusion

In this article, we saw that there are various ways we can find the number of threads in a Java application. In most cases, using the command-line options like the top or ps command should be the go-to way.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
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eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

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eBook – Java Concurrency – NPI (cat=Java Concurrency)
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