Embracing Virtual Threads: Migration Tips for Java Developers

George Adams

As a Java developer, you may have already heard about virtual threads, a powerful feature introduced in Project Loom. Virtual threads provide a lightweight alternative to traditional threads, making writing scalable and efficient concurrent code easier. In this blog post, we will discuss migration tips for Java developers who want to make the most of virtual threads.

Understand the differences between virtual and native threads

Start using virtual threads

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

public class VirtualThreadExample {

    public static void main(String[] args) {
        ExecutorService executor = Executors.newVirtualThreadExecutor();

        executor.submit(() -> {
            System.out.println("Hello from a virtual thread!");
        });

        executor.shutdown();
    }
}

Migrate from Thread to ExecutorService for concurrency

public class NativeThreadExample {

    public static void main(String[] args) {
        Thread thread = new Thread(() -> {
            System.out.println("Hello from a native thread!");
        });

        thread.start();

        try {
            thread.join();
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
    }
}

The equivalent example using virtual threads would look like this:

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

public class VirtualThreadExample {

    public static void main(String[] args) {
        ExecutorService executor = Executors.newVirtualThreadPerTaskExecutor();

        executor.submit(() -> {
            System.out.println("Hello from a virtual thread!");
        });

        executor.shutdown();
    }
}

Handle blocking operations

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

public class FutureExample {

    public static void main(String[] args) {
        ExecutorService executor = Executors.newVirtualThreadPerTaskExecutor();

        Future<String> future = executor.submit(() -> {
            return blockingOperation();
        });

        try {
            String result = future.get();
            System.out.println("Result: " + result);
        } catch (InterruptedException | ExecutionException e) {
            e.printStackTrace();
        }

        executor.shutdown();
    }

    private static String blockingOperation() {
        // Simulate a blocking operation
        try {
            Thread.sleep(2000);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
        return "Blocking operation completed";
    }
}

In this example, we submit a blocking operation to the virtual thread executor, which returns a Future object. We then use Future.get() to block and wait for the result of the blocking operation. Thanks to virtual threads, this blocking style can be used without incurring the same performance penalties typically associated with native threads.

Conclusion

Migrating from native threads to virtual threads in Java can significantly improve the performance and scalability of your concurrent applications. By reducing the overhead associated with native threads, virtual threads enable you to create millions of lightweight threads without running into resource limitations. This allows you to write more efficient, parallelized code that can handle a larger number of concurrent tasks.

When transitioning to virtual threads, it’s crucial to replace direct usage of the Thread class with the ExecutorService, which provides a more flexible and powerful way to manage concurrency. Additionally, handling blocking operations using CompletableFuture ensures that your virtual threads remain efficient and responsive.

By embracing virtual threads and adopting these migration tips, Java developers can unlock new levels of performance in their concurrent applications. This powerful feature from Project Loom can help you write cleaner, more maintainable code while achieving superior scalability and responsiveness. As the Java ecosystem continues to evolve, virtual threads are set to play a key role in the future of high-performance, concurrent programming.

 



        

2 comments

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  • a b 0

    I’m confused about the last example. Does calling future.get() block main thread or not (I’m talking about “native” OS thread where main() is called)?

    Also, what’s the practical difference between newCachedThreadPool and newVirtualThreadPerTaskExecutor?

    • George AdamsMicrosoft employee 0

      To answer your first question, yes, calling future.get() blocks the main thread. The future.get() call will wait for the task to complete and return the result. If the task has not yet finished, the main thread will block until it does. In this example, the main thread will block for around 2 seconds, since the blocking operation sleeps for that duration.

      Regarding your second question, the main practical difference between newCachedThreadPool and newVirtualThreadPerTaskExecutor is in how threads are managed:

      newCachedThreadPool: This executor creates a thread pool with a dynamic number of threads. It reuses threads when possible, but if no threads are available and the workload demands it, new threads will be created. Unused threads are terminated after 60 seconds of inactivity. This executor is well-suited for short-lived tasks or tasks that are created frequently.

      newVirtualThreadPerTaskExecutor: Virtual threads are managed by a scheduler, which is responsible for executing them on a smaller number of “native” OS threads. This executor creates a new virtual thread for each submitted task. It is well-suited for tasks that may block (e.g., due to I/O operations) or for applications that require a large number of concurrent tasks.

      In summary, newCachedThreadPool is best for short-lived, frequently created tasks and reuses threads, while newVirtualThreadPerTaskExecutor is better for handling a large number of concurrent tasks, especially when they involve blocking operations.

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