多线程之生产者消费者模式

标签：.sh   service   共享内存   stop   random   failed   cache   nal   lock   

最近在项目中需要使用使用多线程实现一种功能，和生产者消费者模式类似，因此，学习了下生产者消费者模式的多线程实现。在生产者消费者模式中，通常有两类线程，

即若干个生产者线程和若干个消费者线程。生产者线程负责提交用户请求，消费者线程则负责处理生产者提交的任务。生产者和消费者之间则通过共享内存缓冲区进行通信。

在这里我们选择BlockingQueue做为共享内存缓冲区。

首先，我们构建生产者生产的，和消费者需要处理的数据PCData，即相关任务数据。

public class PCData {

    private final int intData;

    public PCData(int d){
        intData = d ;
    }

    public PCData(String d){
        intData = Integer.valueOf(d);
    }
    
    public int getData(){
        return intData；
    }

    @Override
    public String toString() {
        return "data:"+intData;
    }
}

接下来，实现生产者线程，它构建PCData对象，并放入BlockingQueue队列中。

public class Producer implements Runnable {
    private volatile  boolean isRunning = true;
    private BlockingQueue<PCData> queue;
    private static AtomicInteger count = new AtomicInteger(); //总数，原子操作
    private static final int SLEEPTIME = 1000;
    
    public Producer(BlockingQueue<PCData> queue){
        this.queue = queue;
    }
    
    @Override
    public void run() {
        PCData data = null;
        Random random = new Random();
        
        System.out.println("start produce id =" + Thread.currentThread().getId());
        while (isRunning){
            try {
                Thread.sleep(random.nextInt(SLEEPTIME));
                data = new PCData(count.incrementAndGet());
                System.out.println(data + "is put into queue" );
                if(!queue.offer(data, 2, TimeUnit.SECONDS)){
                    System.err.println("failed to put data: " + data);
                }
            } catch (InterruptedException e) {
                e.printStackTrace();
                Thread.currentThread().interrupt();
            }
        }
    }
    
    public void stop(){
        isRunning = false;
    }
}
接下来，实现消费者，它从BlockingQueue队列中取出PCData对象进行处理：

public class Comsumer implements Runnable {
    private BlockingQueue<PCData> queue;
    private static final int SLEEPTIME = 1000;

    public Comsumer(BlockingQueue<PCData> queue){
        this.queue = queue;
    }

    @Override
    public void run() {
        System.out.println("start Comsume id = " + Thread.currentThread().getId());

        Random random = new Random();

        try {
            while(true){
                PCData data = queue.take();
                if(null != data){
                    int re = data.getData() * data.getData();
                    System.out.println(MessageFormat.format("{0}*{1}={2}",data.getData(), 
                        data.getData(), re));
                    Thread.sleep(random.nextInt(SLEEPTIME));
                }
            }
        }catch (InterruptedException e){
            e.printStackTrace();
            Thread.currentThread().interrupt();
        }
    }
}
最后，在主函数中，我们创建三个生产者和三个消费者，并让他们协作运行。

public class MainTest {

    public static void main(String[] args) throws InterruptedException{
        BlockingQueue<PCData> queue = new LinkedBlockingDeque<>(10);
        Producer pro1 = new Producer(queue);
        Producer pro2 = new Producer(queue);
        Producer pro3 = new Producer(queue);
        Comsumer coms1 = new Comsumer(queue);
        Comsumer coms2 = new Comsumer(queue);
        Comsumer coms3 = new Comsumer(queue);
        ExecutorService service = Executors.newCachedThreadPool();
        service.execute(pro1);
        service.execute(pro2);
        service.execute(pro3);
        service.execute(coms1);
        service.execute(coms2);
        service.execute(coms3);
        Thread.sleep(10*1000);
        pro1.stop();
        pro2.stop();
        pro3.stop();
        Thread.sleep(3000);
        service.shutdown();
    }
}

多线程之生产者消费者模式

标签：.sh   service   共享内存   stop   random   failed   cache   nal   lock   

原文地址：http://www.cnblogs.com/junjiang3/p/7096747.html