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Project Loom is an ongoing effort by the OpenJDK community to introduce lightweight, efficient threads, known as fibers, and continuations to the Java platform. These new features aim to simplify concurrent programming and improve the scalability of Java applications.
Project Loom aims to enhance Java’s concurrency model by introducing fibers, which are lightweight threads managed by the JVM. Unlike traditional threads, fibers have a much lower overhead, making it possible to create and manage millions of them concurrently. This project also introduces continuations, which allow the suspension and resumption of computations at specific points.
Here’s an example of how you can use fibers in a Java application:
import java.util.concurrent.Executors; import java.util.concurrent.ExecutorService; public class LoomExample { public static void main(String[] args) { ExecutorService executor = Executors.newVirtualThreadPerTaskExecutor(); for (int i = 0; i < 1_000_000; i++) { executor.submit(() -> { System.out.println("Hello from fiber " + Thread.currentThread().getName()); }); } executor.shutdown(); } }
In this example, we create an executor that uses virtual threads (fibers). We then submit a million tasks to this executor. Each task prints a message along with the current thread’s name.
Continuations allow you to pause and resume computations. Here’s a basic example:
import jdk.incubator.concurrent.Continuation; import jdk.incubator.concurrent.ContinuationScope; public class ContinuationExample { public static void main(String[] args) { ContinuationScope scope = new ContinuationScope("example"); Continuation continuation = new Continuation(scope, () -> { System.out.println("Part 1"); Continuation.yield(scope); System.out.println("Part 2"); }); while (!continuation.isDone()) { continuation.run(); } } }
In this example, the continuation prints "Part 1", yields control back to the main thread, and then resumes to print "Part 2".
Project Loom is set to revolutionize the way we handle concurrency in Java. By introducing lightweight fibers and continuations, it offers a more scalable and efficient model for concurrent programming. Developers can look forward to writing simpler, more performant concurrent applications with these new features.
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