多生产者多消费者，生产一个数据，消费一个数据

方式一

/**
 * 多个线程要操作的数据index , 要放再同步块里，这里是放在lock的同步块代码里了，但是对数据的增加和减少放在了Producer类和Consumer类了，没有体现内聚性
 */
public class Test {

    private Object lock = new Object();
    private volatile boolean isProduced = false;
    private int index = 0;

    public static void main(String[] args) {
        Test test = new Test();
        new Thread(test.new Producer(), "P1").start();
        new Thread(test.new Producer(), "P2").start();
        new Thread(test.new Consumer(), "C1").start();
        new Thread(test.new Consumer(), "C2").start();
        new Thread(test.new Consumer(), "C3").start();
    }

    
    class Producer implements Runnable {

        @Override
        public void run() {
            while (true) {
                synchronized (lock) {
                    while (isProduced) {
                        try {
                            lock.wait();
                        } catch (InterruptedException e) {
                            
                            e.printStackTrace();
                        }
                    }
                    index++;
                    System.out.println(Thread.currentThread().getName() + " 生产数据  " + index);
                    isProduced = true;
                    lock.notifyAll();
                }
                try {
                    Thread.sleep(10);
                } catch (InterruptedException e) {
                    // TODO Auto-generated catch block
                    e.printStackTrace();
                }
            }
        }

    }

    class Consumer implements Runnable {

        @Override
        public void run() {
            while (true) {
                synchronized (lock) {
                    while (!isProduced) {
                        try {
                            lock.wait();
                        } catch (InterruptedException e) {
                            // TODO Auto-generated catch block
                            e.printStackTrace();
                        }
                    }
                    System.out.println(Thread.currentThread().getName() + " 消费数据  " + index);
                    isProduced = false;
                    lock.notifyAll();
                }
                try {
                    Thread.sleep(10);
                } catch (InterruptedException e) {
                    // TODO Auto-generated catch block
                    e.printStackTrace();
                }
            }

        }

    }
}

 

方式二

/**
 * 
 * 多个线程要操作的数据i要放在同步块里，这里是lock锁的同步块里了，对数据i的操作与数据i放在同一个类里了，体现了内聚性
 *
 */
public class Test2{

    private int i = 0;

    final private Object LOCK = new Object();

    private volatile boolean isProduced = false;

    public void produce() {
        synchronized (LOCK) {
            while (isProduced) {
                try {
                    LOCK.wait();
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }

            i++;
            System.out.println(Thread.currentThread().getName() + " 生产 了  " + i);
            LOCK.notifyAll();
            isProduced = true;
        }
    }

    public void consume() {
        synchronized (LOCK) {
            while (!isProduced) {
                try {
                    LOCK.wait();
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
            System.out.println(Thread.currentThread().getName() +" 消费了 " + i);
            LOCK.notifyAll();
            isProduced = false;
        }
    }

    public static void main(String[] args) {
        Test2 pc = new Test2();
        Stream.of("P1", "P2", "P3").forEach(n ->
                new Thread(n) {
                    @Override
                    public void run() {
                        while (true) {
                            pc.produce();
                            try {
                                Thread.sleep(10);
                            } catch (InterruptedException e) {
                                e.printStackTrace();
                            }
                        }
                    }
                }.start()
        );
        Stream.of("C1", "C2", "C3", "C4").forEach(n ->
                new Thread(n) {
                    @Override
                    public void run() {
                        while (true) {
                            pc.consume();
                            try {
                                Thread.sleep(10);
                            } catch (InterruptedException e) {
                                e.printStackTrace();
                            }
                        }
                    }
                }.start()
        );
    }
}