Java在JDK7以後加入了並行計算的框架Fork/Join,能夠解決咱們系統中大數據計算的性能問題。Fork/Join採用的是分治法,Fork是將一個大任務拆分紅若干個子任務,子任務分別去計算,而Join是獲取到子任務的計算結果,而後合併,這個是遞歸的過程。子任務被分配到不一樣的核上執行時,效率最高。java
package com.thread.forkjoin; import java.util.Arrays; import java.util.Random; import java.util.concurrent.ExecutionException; import java.util.concurrent.ForkJoinPool; import java.util.concurrent.RecursiveTask; /** * Java在JDK7以後加入了並行計算的框架Fork/Join,能夠解決咱們系統中大數據計算的性能問題。 * Fork/Join採用的是分治法,Fork是將一個大任務拆分紅若干個子任務,子任務分別去計算,而Join是獲取到子任務的計算結果,而後合併,這個是遞歸的過程。 * 子任務被分配到不一樣的核上執行時,效率最高。 */ public class ForkJoinTest extends RecursiveTask<Long> { private static final int THREADSHOLD = 50000; private long[] array; private int low; private int hight; public ForkJoinTest(long[] array, int low, int hight) { this.array = array; this.low = low; this.hight = hight; } @Override protected Long compute() { long sum = 0; if (hight - low < THREADSHOLD) { for (int i = low; i < hight; i++) { sum += array[i]; } } else { int middle = (low + hight) >>> 1; ForkJoinTest left = new ForkJoinTest(array, low, middle); ForkJoinTest right = new ForkJoinTest(array, middle + 1, hight); left.fork(); right.fork(); sum = left.join() + right.join(); } return sum; } public static void main(String[] args) throws ExecutionException, InterruptedException { long[] array = genArray(1000000); System.out.println(Arrays.toString(array)); ForkJoinTest forkJoinTest = new ForkJoinTest(array, 0, array.length - 1); long begin = System.currentTimeMillis(); ForkJoinPool forkJoinPool = new ForkJoinPool(); forkJoinPool.submit(forkJoinTest); Long result = forkJoinTest.get(); long end = System.currentTimeMillis(); System.out.println(String.format("結果 %s 耗時 %sms", result, end - begin)); } private static long[] genArray(int size) { long[] array = new long[size]; for (int i = 0; i < size; i++) { array[i] = new Random().nextLong(); } return array; } }