Fork/Join框架 demo

demo1: 使⽤Fork/Join来求，斐波那契数列第n项

斐波那契数列数列是⼀个线性递推数列，从第三项开始，每⼀项的值都等于
前两项之和：
1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89······
如果设f(n）为该数列的第n项（n∈N*），那么有：f(n) = f(n-1) + f(n-2)。

import org.junit.Test;

import java.util.concurrent.ExecutionException;
import java.util.concurrent.ForkJoinPool;
import java.util.concurrent.Future;
import java.util.concurrent.RecursiveTask;

/**
 * Created by DELL on 2020/7/20.
 */
public class FibonacciTest {
    class Fibonacci extends RecursiveTask<Integer> {
        int n;

        public Fibonacci(int n) {
            this.n = n;
        }

        // 主要的实现逻辑都在compute()⾥
        @Override
        protected Integer compute() {
            // 这⾥先假设 n >= 0
            if (n <= 1) {
                return n;
            } else {
                // f(n-1)
                Fibonacci f1 = new Fibonacci(n - 1);
                f1.fork();
                // f(n-2)
                Fibonacci f2 = new Fibonacci(n - 2);
                f2.fork();
                // f(n) = f(n-1) + f(n-2)
                return f1.join() + f2.join();
            }
        }
    }

    @Test
    public void testFib() throws ExecutionException, InterruptedException {
        ForkJoinPool forkJoinPool = new ForkJoinPool();
        System.out.println("CPU核数：" + Runtime.getRuntime().availableProcessors());
        long start = System.currentTimeMillis();
        Fibonacci fibonacci = new Fibonacci(40);
        Future<Integer> future = forkJoinPool.submit(fibonacci);
        System.out.println(future.get());
        long end = System.currentTimeMillis();
        System.out.println(String.format("耗时：%d millis", end - start));
    }
}

输出:

CPU核数：4
计算结果：102334155
耗时：9490 millis

　　

demo2:求1+2+3+4的结果 

Fork/Join框架分割任务，将每个子任务最多执行两个数的相加，那么我们设置分割的阈值是2，由于是4个数字相加，所以Fork/Join框架会把这个任务fork成两个子任务，子任务一负责计算1+2，子任务二负责计算3+4，然后再join两个子任务的结果。因为是有结果的任务，所以必须继承RecursiveTask

import java.util.concurrent.ExecutionException;
import java.util.concurrent.ForkJoinPool;
import java.util.concurrent.Future;
import java.util.concurrent.RecursiveTask;

/**
 *
 * @author aikq
 * @date 2018年11月21日 20:37
 */
public class ForkJoinTaskDemo {

    public static void main(String[] args) {
        ForkJoinPool pool = new ForkJoinPool();
        CountTask task = new CountTask(1,4);
        Future<Integer> result = pool.submit(task);
        try {
            System.out.println("计算结果=" + result.get());
        } catch (InterruptedException e) {
            e.printStackTrace();
        } catch (ExecutionException e) {
            e.printStackTrace();
        }
    }
}

class CountTask extends RecursiveTask<Integer>{
    private static final long serialVersionUID = -7524245439872879478L;

    private static final int THREAD_HOLD = 2;

    private int start;
    private int end;

    public CountTask(int start,int end){
        this.start = start;
        this.end = end;
    }

    @Override
    protected Integer compute() {
        int sum = 0;
        //如果任务足够小就计算
        boolean canCompute = (end - start) <= THREAD_HOLD;
        if(canCompute){
            for(int i=start;i<=end;i++){
                sum += i;
            }
        }else{
            int middle = (start + end) / 2;
            CountTask left = new CountTask(start,middle);
            CountTask right = new CountTask(middle+1,end);
            //执行子任务
            left.fork();
            right.fork();
            //获取子任务结果
            int lResult = left.join();
            int rResult = right.join();
            sum = lResult + rResult;
        }
        return sum;
    }
}

参考: Fork/Join框架详解

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