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Showing content from http://docs.oracle.com/en/java/javase/15/docs/api/java.base/java/util/concurrent/RecursiveTask.html below:

RecursiveTask (Java SE 15 & JDK 15)

All Implemented Interfaces:
Serializable, Future<V>
public abstract class RecursiveTask<V>
extends ForkJoinTask<V>

A recursive result-bearing

ForkJoinTask

.

For a classic example, here is a task computing Fibonacci numbers:

 
 class Fibonacci extends RecursiveTask<Integer> {
   final int n;
   Fibonacci(int n) { this.n = n; }
   protected Integer compute() {
     if (n <= 1)
       return n;
     Fibonacci f1 = new Fibonacci(n - 1);
     f1.fork();
     Fibonacci f2 = new Fibonacci(n - 2);
     return f2.compute() + f1.join();
   }
 }

However, besides being a dumb way to compute Fibonacci functions (there is a simple fast linear algorithm that you'd use in practice), this is likely to perform poorly because the smallest subtasks are too small to be worthwhile splitting up. Instead, as is the case for nearly all fork/join applications, you'd pick some minimum granularity size (for example 10 here) for which you always sequentially solve rather than subdividing.

Since:
1.7
See Also:
Serialized Form

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