Java使用5个线程计算数组之和

发布时间:2021-07-05 18:40 来源:脚本之家 阅读:0 作者:安迪爸爸 栏目: 开发技术

目录

    前言

    之前写过多线程累加计数,原理跟本篇类似,

    累加计数比计算数组之和逻辑稍微简单一点,如果对于这块不熟悉的,可以先看下累加计数。

    基本思想已经在之前那篇文章里写过了,这里就直接贴代码了。

    这里分别通过自己创建线程来实现功能,还有通过线程池来实现功能。思想都差不多。只是代码写法略有不同。仅供参考。

    代码一:

    五个线程交替累加计算数组之和,这种方法其实不如单线程直接累加快,因为交替累加需要前一个线程计算的结果。

    package test;
     
    import java.util.concurrent.ExecutorService;
    import java.util.concurrent.Executors;
     
    public class FiveThreadCount {
     private int count=0;
     private int[] arr={1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28};
     private int j=0;
     //定义一个任务,关键点所在
     private class MyThread extends Thread{
      @Override
      public void run() {
       super.run();
        while(j<arr.length)
        {
         synchronized (MyThread.class) {
          if(j>=arr.length){
           return;
          }
          count+=arr[j++];
          try {
           Thread.sleep(100);
          } catch (InterruptedException e) {
           // TODO Auto-generated catch block
           e.printStackTrace();
          }
          System.out.println(Thread.currentThread().getName());
         }
        }
      }
     }
     
     //方法一
     public void test1(){
      for(int i=0;i<5;i++){
       new MyThread().start();
      }
            try {
       Thread.sleep(10000);
      } catch (InterruptedException e) {
       // TODO Auto-generated catch block
       e.printStackTrace();
      }
            System.out.println(count);
     }
     //方法二
     public void test2(){
      Thread myThread=new MyThread();
      for(int i=0;i<5;i++){
       new Thread(myThread).start();
      }
            try {
       Thread.sleep(10000);
      } catch (InterruptedException e) {
       // TODO Auto-generated catch block
       e.printStackTrace();
      }
            System.out.println(count);
     }
     //方法一的线程池实现版
     public void test3(){
      ExecutorService service=Executors.newCachedThreadPool();
      for(int i=0;i<5;i++){
       service.execute(new MyThread());
      }
            try {
       Thread.sleep(10000);
      } catch (InterruptedException e) {
       // TODO Auto-generated catch block
       e.printStackTrace();
      }
            System.out.println(count);
     }
     //方法二的线程池实现版
     public void test4(){
      ExecutorService service=Executors.newCachedThreadPool();
      Thread myThread=new MyThread();
      for(int i=0;i<5;i++){
       service.execute(myThread);
      }
            try {
       Thread.sleep(10000);
      } catch (InterruptedException e) {
       // TODO Auto-generated catch block
       e.printStackTrace();
      }
            System.out.println(count);
     }
     
    }

    上边代码中,用到了sleep方法的原因,sleep(100)是为了让其他线程有时间执行任务,如果不sleep的话,有可能一个线程就全部执行完了。 最后的sleep(10000)是为了等所有线程执行完后,打印最后的计算结果。 

    代码二:

    将数组分为5等分,让每个线程计算自己负责的那份,并发计算,最后汇总结果。这种方式比代码一速度会快些。因为线程独立计算,不依赖其他线程的结果。最后几个线程将总数累加即可。

    方式一:

    使用Callable,FutureTask方式,来实现代码:

    package test;
     
    import java.util.concurrent.Callable;
    import java.util.concurrent.ExecutionException;
    import java.util.concurrent.ExecutorService;
    import java.util.concurrent.Executors;
    import java.util.concurrent.FutureTask;
     
    public class FiveThreadCount2 {
     private int[] arr={1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28};
     private int total=0;
     public void test() throws InterruptedException, ExecutionException{
      ExecutorService service=Executors.newFixedThreadPool(5);
      int length=arr.length;
      for(int j=0;j<length;j+=(length/5)){
       FutureTask<Integer> task;
       if( (j+(length/5))<length){
        task=new FutureTask<Integer>(new MyCallable(arr, j, j+(length/5)));
       }else{
        task=new FutureTask<Integer>(new MyCallable(arr, j, length));
       }
       service.execute(task);
       total+=task.get();
      }
      service.shutdown();
      System.out.println(total);
     
     }
     
     public class MyCallable implements Callable<Integer>{
      int[] arr;
      int startIndex;
      int endIndex;
      public MyCallable(int[] arr,int startIndex,int endIndex){
       this.arr=arr;
       this.startIndex=startIndex;
       this.endIndex=endIndex;
      }
      @Override
      public Integer call() throws Exception {
       int sum=0;
       for(int i=startIndex;i<endIndex;i++){
        sum+=arr[i];
       }
       System.out.println(Thread.currentThread().getName());
       return sum;
      }
     }
     
    }
    

    这个方式有一个缺点,看似5个线程异步执行,其实是顺序执行,因为 task.get是要等待线程执行完毕才会执行下边的代码。所以效率不会高,可能换种写法可以解决这个问题,这里就不深入研究。

    方式二:

    通过java工具类CountDownLatch实现并发计算

    package test;
     
    import java.util.concurrent.CountDownLatch;
     
    public class FiveThreadCount3 {
     private int[] arr={1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28};
     private int total=0;
     public void test() throws InterruptedException{
      int length=arr.length;
      CountDownLatch latch=new CountDownLatch(length%5==0?5:6);
      System.out.println(length);
      for(int j=0;j<length;j+=(length/5)){
       MyThread task;
       if( (j+(length/5))<=length){
        task=new MyThread(arr, j, j+(length/5), latch);
       }else{
        task=new MyThread(arr, j, length, latch);
       }
       new Thread(task).start();
      }
      latch.await();
      System.out.println(total);
     }
     
     private class MyThread implements Runnable{
      int[] arr;
      int startIndex;
      int endIndex;
      CountDownLatch latch;
      public MyThread(int[] arr,int startIndex,int endIndex,CountDownLatch latch){
       this.arr=arr;
       this.startIndex=startIndex;
       this.endIndex=endIndex;
       this.latch=latch;
      }
      @Override
      public void run() {
       int sum=0;
       for(int i=startIndex;i<endIndex;i++){
        sum+=arr[i];
       }
       synchronized (MyThread.class) {
        total+=sum;
       }
     
       System.out.println(Thread.currentThread().getName());
       latch.countDown();
     
      }
      
     }
    }
    

    对于CountDownLatch不熟悉的可以搜索下用法。 

    方式三:

    通过java工具类 CyclicBarrier实现并发计算。

    package test;
     
    import java.util.concurrent.BrokenBarrierException;
    import java.util.concurrent.CyclicBarrier;
     
     
    public class FiveThreadCount1 {
     private int[] arr={1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28};
     private int total=0;
     public void test() throws InterruptedException, BrokenBarrierException{
      int length=arr.length;
      CyclicBarrier barrier=new CyclicBarrier((length%5==0?5:6)+1);
      System.out.println(length);
      for(int j=0;j<length;j+=(length/5)){
       MyThread task;
       if( (j+(length/5))<=length){
        task=new MyThread(arr, j, j+(length/5), barrier);
       }else{
        task=new MyThread(arr, j, length, barrier);
       }
       new Thread(task).start();
      }
      barrier.await();
      System.out.println(total);
     }
     
     private class MyThread implements Runnable{
      int[] arr;
      int startIndex;
      int endIndex;
      CyclicBarrier barrier;
      public MyThread(int[] arr,int startIndex,int endIndex,CyclicBarrier barrier){
       this.arr=arr;
       this.startIndex=startIndex;
       this.endIndex=endIndex;
       this.barrier=barrier;
      }
      @Override
      public void run() {
       int sum=0;
       for(int i=startIndex;i<endIndex;i++){
        sum+=arr[i];
       }
       synchronized (MyThread.class) {
        total+=sum;
       }
       
       try {
        System.out.println(Thread.currentThread().getName());
        barrier.await();
       } catch (InterruptedException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
       } catch (BrokenBarrierException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
       }
      }
      
     }
    }
    

    总结

    总体来说,代码二的方式二、三,效率会高一点。以上代码都是通过main方法调用示例代码的test方法,输出结果到控制台。 

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