这期内容当中小编将会给大家带来有关怎么在java中利用CountDownLatch实现并行计算,文章内容丰富且以专业的角度为大家分析和叙述,阅读完这篇文章希望大家可以有所收获。
具体内容如下
import java.util.concurrent.CountDownLatch; public class ParallelComputing { private int[] nums; private String[] info; private CountDownLatch countDownLatch; public ParallelComputing(String[] info) { this.info = info; int size = info.length; nums = new int[size]; this.countDownLatch = new CountDownLatch(size); } public void calc(String line, int index) throws InterruptedException { String[] numbers = line.split(","); int total = 0; for (String num : numbers) { total += Integer.parseInt(num); } Thread.sleep(5000); nums[index] = total; countDownLatch.countDown(); System.out.println(Thread.currentThread().getName() + "执行计算任务..." + line + ",结果为:" + total); } public void sum() { System.out.println("汇总线程开始执行..."); int total = 0; for (int i : nums) { total += i; } System.out.println("汇总线程结束执行...结果为:" + total); } public void calcSum() throws InterruptedException { int size = info.length; for (int i = 0; i < size; i++) { final int j = i; new Thread(() -> { try { calc(info[j], j); } catch (InterruptedException e) { e.printStackTrace(); } }).start(); } countDownLatch.await(); sum(); } public static void main(String[] args) throws InterruptedException { long start = System.currentTimeMillis(); String[] info = { "2,22", "3,33", "232,32,76,84", "99,45,1" }; ParallelComputing parallelComputing = new ParallelComputing(info); parallelComputing.calcSum(); long end = System.currentTimeMillis(); System.out.println(end - start); } }
Java中的集合主要分为四类:1、List列表:有序的,可重复的;2、Queue队列:有序,可重复的;3、Set集合:不可重复;4、Map映射:无序,键唯一,值不唯一。
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