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Concurrency

How do I use ExecutorService with virtual threads?

To use ExecutorService with virtual threads in Java, you can leverage the Executors.newVirtualThreadPerTaskExecutor() method. This method creates an ExecutorService where each task is executed on a new virtual thread, managed by the Java runtime. Here’s a step-by-step guide: 1. Dependencies & Setup Ensure you are using Java 19 or newer. Virtual threads were introduced as […]

DWayan · 16 Nov 2025 · 3 menit baca

Artikel oleh Wayan · Sumber: Kode Java ↗

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To use ExecutorService with virtual threads in Java, you can leverage the Executors.newVirtualThreadPerTaskExecutor() method. This method creates an ExecutorService where each task is executed on a new virtual thread, managed by the Java runtime. Here’s a step-by-step guide:


1. Dependencies & Setup

Ensure you are using Java 19 or newer. Virtual threads were introduced as a preview feature, but from Java 21 onward, they are part of the platform. You may need --enable-preview as a JVM option for Java 19 and 20.


2. Creating an ExecutorService with Virtual Threads

The Executors.newVirtualThreadPerTaskExecutor() method provides an easy way to create an executor service for virtual threads.

Example:

package org.kodejava.util.concurrent;

import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

public class VirtualThreadExample {
    public static void main(String[] args) {
        // Creates an ExecutorService with virtual threads
        try (ExecutorService executor = Executors.newVirtualThreadPerTaskExecutor()) {
            // Submitting tasks to executor
            executor.submit(() -> System.out.println("Task 1 on virtual thread"));
            executor.submit(() -> System.out.println("Task 2 on another virtual thread"));
        } // The executor is automatically closed after the try block
    }
}

In this example:

  • Each task runs in its own virtual thread, allowing them to scale efficiently.
  • The try block ensures the resources are cleaned up when the executor is closed.

3. Advantages

  • Concurrency: High-concurrency tasks, such as I/O-bound operations, benefit from virtual threads.
  • Scalability: You don’t have to limit the number of threads since virtual threads don’t demand system OS threads.
  • Simplicity: Virtual threads make it easier to adopt a thread-per-task model without resource overhead.

4. Important Use Cases

  • Concurrent workloads like handling multiple incoming web requests.
  • Tasks that rely on blocking operations, such as database access or network I/O.

5. Combining with Structured Concurrency (Optional)

Using structured concurrency (Java 21+) simplifies managing tasks by controlling their lifecycle. Here’s a snippet combining virtual threads with structured concurrency:

Example:

package org.kodejava.util.concurrent;

import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

public class StructuredConcurrencyExample {
    public static void main(String[] args) throws Exception {
        // Using an ExecutorService with virtual threads
        try (ExecutorService executor = Executors.newVirtualThreadPerTaskExecutor()) {
            var task1 = executor.submit(() -> {
                Thread.sleep(500); // Simulating a long-running task
                return "Result from task 1";
            });

            var task2 = executor.submit(() -> {
                Thread.sleep(300); // Another long-running task
                return "Result from task 2";
            });

            // Getting results from tasks
            System.out.println(task1.get());
            System.out.println(task2.get());
        }
    }
}

6. Considerations

  • Resource Efficiency: Virtual threads work well for blocking I/O tasks. However, for CPU-bound tasks, you’re limited by the number of available processors.
  • Preview Feature (If Applicable): Ensure you run the program with --enable-preview if using a preview version of Java.

Virtual threads offer a significant leap in simplifying multithreaded programming while improving scalability. Transitioning to virtual threads in most legacy multithreaded systems is straightforward because they integrate seamlessly with the existing threading APIs.

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