多线程异步模式-黑马深入学习Java并发编程笔记

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异步模式

传统版

异步模式之生产者/消费者：

class ShareData {
    private int number = 0;
    private Lock lock = new ReentrantLock();
    private Condition condition = lock.newCondition();

    public void increment() throws Exception{
        // 同步代码块，加锁
        lock.lock();
        try {
            // 判断  防止虚假唤醒
            while(number != 0) {
                // 等待不能生产
                condition.await();
            }
            // 干活
            number++;
            System.out.println(Thread.currentThread().getName() + "\t " + number);
            // 通知 唤醒
            condition.signalAll();
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            lock.unlock();
        }
    }

    public void decrement() throws Exception{
        // 同步代码块，加锁
        lock.lock();
        try {
            // 判断 防止虚假唤醒
            while(number == 0) {
                // 等待不能消费
                condition.await();
            }
            // 干活
            number--;
            System.out.println(Thread.currentThread().getName() + "\t " + number);
            // 通知 唤醒
            condition.signalAll();
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            lock.unlock();
        }
    }
}

public class TraditionalProducerConsumer {
    public static void main(String[] args) {
        ShareData shareData = new ShareData();
        // t1线程，生产
        new Thread(() -> {
            for (int i = 0; i < 5; i++) {
                shareData.increment();
            }
        }, "t1").start();

        // t2线程，消费
        new Thread(() -> {
            for (int i = 0; i < 5; i++) {
                shareData.decrement();
            }
        }, "t2").start(); 
    }
}

改进版

异步模式之生产者/消费者：

消费队列可以用来平衡生产和消费的线程资源，不需要产生结果和消费结果的线程一一对应
生产者仅负责产生结果数据，不关心数据该如何处理，而消费者专心处理结果数据
消息队列是有容量限制的，满时不会再加入数据，空时不会再消耗数据
JDK 中各种阻塞队列，采用的就是这种模式

public class demo {
    public static void main(String[] args) {
        MessageQueue queue = new MessageQueue(2);
        for (int i = 0; i < 3; i++) {
            int id = i;
            new Thread(() -> {
                queue.put(new Message(id,"值"+id));
            }, "生产者" + i).start();
        }
        
        new Thread(() -> {
            while (true) {
                try {
                    Thread.sleep(1000);
                    Message message = queue.take();
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
        },"消费者").start();
    }
}

//消息队列类，Java间线程之间通信
class MessageQueue {
    private LinkedList<Message> list = new LinkedList<>();//消息的队列集合
    private int capacity;//队列容量
    public MessageQueue(int capacity) {
        this.capacity = capacity;
    }

    //获取消息
    public Message take() {
        //检查队列是否为空
        synchronized (list) {
            while (list.isEmpty()) {
                try {
                    sout(Thread.currentThread().getName() + ":队列为空，消费者线程等待");
                    list.wait();
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
            //从队列的头部获取消息返回
            Message message = list.removeFirst();
            sout(Thread.currentThread().getName() + "：已消费消息--" + message);
            list.notifyAll();
            return message;
        }
    }

    //存入消息
    public void put(Message message) {
        synchronized (list) {
            //检查队列是否满
            while (list.size() == capacity) {
                try {
                    sout(Thread.currentThread().getName()+":队列为已满，生产者线程等待");
                    list.wait();
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
            //将消息加入队列尾部
            list.addLast(message);
            sout(Thread.currentThread().getName() + ":已生产消息--" + message);
            list.notifyAll();
        }
    }
}

final class Message {
    private int id;
    private Object value;
    //get set
}

阻塞队列

public static void main(String[] args) {
    ExecutorService consumer = Executors.newFixedThreadPool(1);
    ExecutorService producer = Executors.newFixedThreadPool(1);
    BlockingQueue<Integer> queue = new SynchronousQueue<>();
    producer.submit(() -> {
        try {
            System.out.println("生产...");
            Thread.sleep(1000);
            queue.put(10);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
    });
    consumer.submit(() -> {
        try {
            System.out.println("等待消费...");
            Integer result = queue.take();
            System.out.println("结果为:" + result);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
    });
}