Java并发AtomicIntegerArray类

java.util.concurrent.atomic.AtomicIntegerArray类提供了可以以原子方式读取和写入的底层int数组的操作，还包含高级原子操作。 AtomicIntegerArray支持对底层int数组变量的原子操作。 它具有获取和设置方法，如在变量上的读取和写入。 也就是说，一个集合与同一变量上的任何后续get相关联。 原子compareAndSet方法也具有这些内存一致性功能。

实例

以下TestThread程序显示了基于线程的环境中AtomicIntegerArray变量的使用。

import java.util.concurrent.atomic.AtomicIntegerArray;

public class TestThread {

   private static AtomicIntegerArray atomicIntegerArray = new AtomicIntegerArray(10);

   public static void main(final String[] arguments) throws InterruptedException {
      for (int i=0; i<atomicIntegerArray.length(); i++) {
         atomicIntegerArray.set(i, 1);
      }

      Thread t1 = new Thread(new Increment());
      Thread t2 = new Thread(new Compare());
      t1.start();
      t2.start();

      t1.join();
      t2.join();

      System.out.println("Values: ");
      for (int i=0; i<atomicIntegerArray.length(); i++) {
         System.out.print(atomicIntegerArray.get(i) + " ");
      }
   }  

   static class Increment implements Runnable {

      public void run() {
         for(int i=0; i<atomicIntegerArray.length(); i++) {
            int add = atomicIntegerArray.incrementAndGet(i);
            System.out.println("Thread " + Thread.currentThread().getId() 
               + ", index " +i + ", value: "+ add);
         }
      }
   }

   static class Compare implements Runnable {

      public void run() {
         for(int i=0; i<atomicIntegerArray.length(); i++) {
            boolean swapped = atomicIntegerArray.compareAndSet(i, 2, 3);
            if(swapped){
               System.out.println("Thread " + Thread.currentThread().getId()
                  + ", index " +i + ", value: 3");
            }
         }
      }
   }
}

这将产生以下结果 -

Thread 10, index 0, value: 2
Thread 10, index 1, value: 2
Thread 10, index 2, value: 2
Thread 11, index 0, value: 3
Thread 10, index 3, value: 2
Thread 11, index 1, value: 3
Thread 11, index 2, value: 3
Thread 10, index 4, value: 2
Thread 11, index 3, value: 3
Thread 10, index 5, value: 2
Thread 10, index 6, value: 2
Thread 11, index 4, value: 3
Thread 10, index 7, value: 2
Thread 11, index 5, value: 3
Thread 10, index 8, value: 2
Thread 11, index 6, value: 3
Thread 10, index 9, value: 2
Thread 11, index 7, value: 3
Thread 11, index 8, value: 3
Thread 11, index 9, value: 3
Values:
3 3 3 3 3 3 3 3