package com.jadyer.concurrent; import java.util.concurrent.BlockingQueue; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; import java.util.concurrent.LinkedBlockingQueue; /** * LinkedBlockingQueue实现的生产者消费者 * @see -------------------------------------------------------------------------------------------------------------------- * @see Java提供的线程安全的Queue可分为阻塞和非阻塞队列,其中非阻塞队列的典型是ConcurrentLinkedQueue,阻塞队列的是BlockingQueue * @see ConcurrentLinkedQueue是一个无界线程安全队列,它是按照FIFO(先进先出)原则对元素进行排序的,并且此队列不允许使用null元素 * @see 关于接口BlockingQueue文档中是这么说的 * @see A Queue that additionally supports operations that wait for the queue to become non-empty when * @see retrieving an element, and wait for space to become available in the queue when storing an element * @see 壹個支持额外操作的队列:当队列非空时才去获取壹個元素,当队列还有空间时才会存储壹個元素 * @see -------------------------------------------------------------------------------------------------------------------- * @see 以下BlockingQueue接口的几个常见标准实现 * @see ArrayBlockingQueue-----有界的阻塞队列,它具有固定的尺寸,因此可在它被阻塞之前向其中放置有限数量的元素 * @see 其构造方法必须带一个int参数来指明BlockingQueue的大小,其所含对象是以FIFO(先入先出)顺序排序的 * @see LinkedBlockingQueue----无界的阻塞队列,其所含的对象是以FIFO(先入先出)顺序排序的 * @see 若其构造方法带一个规定大小的参数则生成的BlockingQueue有大小限制,反之则由Integer.MAX_VALUE决定 * @see PriorityBlockingQueue--类似于LinkedBlockQueue,但其所含对象的排序不是FIFO,而是依据对象自然排序或构造方法的Comparator决定 * @see SynchronousQueue-------这是一个特殊的BlockingQueue,对其的操作必须是存放和获取交替完成 * @see 阻塞队列可以解决非常大量的问题,而其方式与wait()和notifyAll()相比则简单并可靠得多 * @see 由于LinkedBlockingQueue实现是线程安全的,实现了先进先出等特性,是作为生产者消费者的首选,它常用的方法是put()和take() * @see put()在队列满的时候会阻塞直到有队列成员被消费,take()在队列空的时候会阻塞直到有队列成员被放进来 * @see 如果消费者试图从空队列中获取对象时,那么这些队列可以挂起消费者任务,并且当有更多元素可用时恢复消费者任务,生产者与之类似 * @see -------------------------------------------------------------------------------------------------------------------- * @create Nov 2, 2013 5:40:36 PM * @author 玄玉 */ public class ProducerConsumer { public static void main(String[] args) { BlockingQueue<String> dataQueue = new LinkedBlockingQueue<String>(); Producer p11 = new Producer("生产者01号", dataQueue); Producer p22 = new Producer("生产者02号", dataQueue); Consumer c11 = new Consumer("消费者01号", dataQueue); Consumer c22 = new Consumer("消费者02号", dataQueue); Consumer c33 = new Consumer("消费者03号", dataQueue); ExecutorService service = Executors.newCachedThreadPool(); service.submit(p11); service.submit(p22); service.submit(c11); service.submit(c22); service.submit(c33); } } /** * 生产者 */ class Producer implements Runnable { private String username; private BlockingQueue<String> dataQueue; public Producer(String username, BlockingQueue<String> dataQueue) { this.username = username; this.dataQueue = dataQueue; } public void run() { try { while (true) { int productID = (int)(Math.random()*1000); //产生0~999随机整数 dataQueue.put(String.valueOf(productID)); System.out.println(username + "已生产(" + productID + ")"); Thread.sleep(500); } } catch (InterruptedException e1) { e1.printStackTrace(); } } } /** * 消费者 */ class Consumer implements Runnable { private String username; private BlockingQueue<String> dataQueue; public Consumer(String username, BlockingQueue<String> dataQueue) { this.username = username; this.dataQueue = dataQueue; } public void run() { try { while (true) { String product = dataQueue.take(); System.out.println(username + "已消费(" + product + ")"); Thread.sleep(500); } } catch (InterruptedException e) { e.printStackTrace(); } } }