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线程并发类
|Java
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通过wait，notify管理并发

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1.两个方法都需要放置到synchronized的作用域中
2.一旦执行wait方法,会释放synchronized所关联的锁,进入阻塞状态,无法再次主动地到可执行状态
3.一旦执行notify方法,会通知因调用wait方法而等待的线程,如有多个线程等待,则会任意挑选一个线程来唤醒
4.notifyAll会唤醒因wait而进入到阻塞状态的线程,但他们都未得到锁,因此会竞争锁,得到锁的继续执行,在锁被释放后,其他线程会继续竞争,依次类推

以生产者消费者问题观察wait和notify

基于Object类的wait、notify和notifyAll的方法，只能建立一个阻塞队列

代码展示

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public class ThreadConcurrencyTest {

    /* 表示生产者线程的编号 */
    private int i;
    /* 表示待消费与已消费 */
    private boolean b = true;

    public synchronized void product(int i) {

        if (!b) {

            try {
                /* 未消费等待 */
                wait();
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }

        this.i = i;

        /* 标记为已生产 */
        b = false;

        /* 通知消费者已生产,可以消费 */
        notify();

    }

    public synchronized Integer consume() {

        if (b) {

            try {
                /* 未生产等待 */
                wait();
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }

        /* 标记为已消费 */
        b = true;

        /* 通知需要生产 */
        notify();

        return this.i;

    }

    /* 生产者线程 */
    public static class Producer extends Thread {

        private final ThreadConcurrencyTest threadConcurrencyTest;

        Producer(ThreadConcurrencyTest threadConcurrencyTest) {
            this.threadConcurrencyTest = threadConcurrencyTest;
        }

        @Override
        public void run() {
            for (int j = 0; j <= 5; j++) {

                threadConcurrencyTest.product(j);

                System.out.println("生产者: " + j);

            }
        }
    }

    /* 消费者线程 */
    public static class Consumer extends Thread {

        private final ThreadConcurrencyTest threadConcurrencyTest;

        Consumer(ThreadConcurrencyTest threadConcurrencyTest) {
            this.threadConcurrencyTest = threadConcurrencyTest;
        }

        @Override
        public void run() {

            Integer consume;

            do {

                consume = threadConcurrencyTest.consume();

                System.out.println("消费者: " + consume);

            /* 消费者数量 */
            } while (consume != 9);

        }
    }

    public static void main(String[] args) {

        ThreadConcurrencyTest threadConcurrencyTest = new ThreadConcurrencyTest();

        new Producer(threadConcurrencyTest).start();

        new Consumer(threadConcurrencyTest).start();

    }
}

打印展示

当生产者与消费者不相等时，程序将无法停止

以生产者消费者问题观察wait和notify

通过Condition实现线程间的通讯

通过Condition类，可以在不同的线程里创建多个阻塞队列

代码展示

该代码是死循环

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import java.util.LinkedList;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.ReentrantLock;

public class ThreadConcurrencyTest {

    private final Lock lock;

    private final Condition notFull;

    private final Condition notEmpty;

    private final int maxSize;

    private final LinkedList<String> list;

    public ThreadConcurrencyTest(int maxSize) {
        lock = new ReentrantLock();
        notFull = lock.newCondition();
        notEmpty = lock.newCondition();
        this.maxSize = maxSize;
        list = new LinkedList<>();
    }

    /* 生产 */
    public void producer() {

        lock.lock();

        try {

            /* 达到生产计划 */
            while (list.size() == maxSize) {

                System.out.println(Thread.currentThread().getName() + "     生产停止");

                /* 阻塞生产线程 */
                notFull.await();

            }

            list.add("Java");

            System.out.println(Thread.currentThread().getName() + "     已生产数量: " + list.size());

            Thread.sleep(1000);

            /* 唤醒消费线程 */
            notEmpty.signalAll();

        } catch (InterruptedException e) {
            e.printStackTrace();
        } finally {
            lock.unlock();
        }
    }

    public void Consumer() {

        lock.lock();

        try {

            while (list.size() == 0) {

                System.out.println(Thread.currentThread().getName() + "     消费停止");

                /* 阻塞消费 */
                notEmpty.await();

            }

            System.out.println("消费" + list.poll() + "产品一个");

            System.out.println(Thread.currentThread().getName() + "剩余产品数量: " + list.size());

            Thread.sleep(1000);

            /* 唤醒生产线程 */
            notFull.signalAll();

        } catch (InterruptedException e) {
            e.printStackTrace();
        } finally {
            lock.unlock();
        }
    }

    public static class ProducerThread implements Runnable {

        private final ThreadConcurrencyTest threadConcurrencyTest;

        public ProducerThread(ThreadConcurrencyTest threadConcurrencyTest) {
            this.threadConcurrencyTest = threadConcurrencyTest;
        }

        @Override
        public void run() {
            while (true) {
                threadConcurrencyTest.producer();
            }
        }
    }

    public static class ConsumerThread implements Runnable {

        private final ThreadConcurrencyTest threadConcurrencyTest;

        public ConsumerThread(ThreadConcurrencyTest threadConcurrencyTest) {
            this.threadConcurrencyTest = threadConcurrencyTest;
        }

        @Override
        public void run() {
            while (true) {
                threadConcurrencyTest.Consumer();
            }
        }
    }

    public static void main(String[] args) {

        ThreadConcurrencyTest threadConcurrencyTest = new ThreadConcurrencyTest(5);

        ProducerThread producerThread = new ProducerThread(threadConcurrencyTest);

        ConsumerThread consumerThread = new ConsumerThread(threadConcurrencyTest);

        for (int i = 0; i < 5; i++) new Thread(producerThread).start();

        for (int i = 0; i < 5; i++) new Thread(consumerThread).start();

    }
}

打印展示

Condition对象是通过Lock对象生成的，并且可以创建多个Condition对象

通过Condition实现线程间的通讯

通过Semaphore管理多线程竞争

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Semaphore类是个计数信号量
Semaphore会将超出permits可用资源数目的资源存放到阻塞队列中,进入阻塞队列后,当发现有可用的资源时,被阻塞的资源会被唤醒

代码展示

Semaphore构造函数

Semaphore构造函数，permits参数表示初始化可用的资源数目，fair表示是否是公平锁

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import java.util.concurrent.Semaphore;

public class ThreadConcurrencyTest {

    public static class ConnectionProvide {

        /* 连接数据库 */
        public void provide() {

            try {
                Thread.sleep(1000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
    }

    public static class HandLeUserThread extends Thread {

        private final Semaphore semaphore;

        private final String threadName;

        private final ConnectionProvide connectionProvide;

        public HandLeUserThread(String threadName, Semaphore semaphore, ConnectionProvide connectionProvide) {
            this.threadName = threadName;
            this.semaphore = semaphore;
            this.connectionProvide = connectionProvide;
        }

        @Override
        public void run() {

            if (semaphore.availablePermits() > 0) System.out.println(threadName + " 开始连接应用");
            else System.out.println(threadName + " 无可连接应用");

            try {

				/* 申请资源 */
                semaphore.acquire();

                connectionProvide.provide();

                System.out.println(threadName + " 获得连接");

            } catch (InterruptedException e) {
                e.printStackTrace();
            } finally {
            	/* 释放资源 */
                semaphore.release();
            }
        }
    }

    public static void main(String[] args) {

        ConnectionProvide connectionProvide = new ConnectionProvide();

        Semaphore semaphore = new Semaphore(2, true);

        for (int i = 0; i < 5; i++) new HandLeUserThread(String.valueOf(i), semaphore, connectionProvide).start();

    }
}

打印展示

通过Semaphore管理多线程竞争

CountDownLatch同步计数器

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CountDownLatch有一个正数计数器,countDown方法会对计数器做减操作,知道所有计数器都归0(或中断、超时),await线程才会继续,否则会一直阻塞,这样能够保证CountDownLatch所标记的前置任务都完成后,主任务在执行

代码展示

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import java.util.List;
import java.util.ArrayList;
import java.util.concurrent.*;

public class ThreadConcurrencyTest {

    public static class Task implements Callable<String> {

        private final CountDownLatch countDownLatch;

        private final String taskName;

        public Task(CountDownLatch countDownLatch, String taskName) {
            this.countDownLatch = countDownLatch;
            this.taskName = taskName;
        }

        @Override
        public String call() throws Exception {

            try {
                return taskName + "返回";
            } finally {

                countDownLatch.countDown();

                System.out.println(taskName + " --- " + countDownLatch.getCount());

            }
        }
    }

    public static void main(String[] args) {

        /* 定义线程池 */
        ExecutorService executorService = Executors.newCachedThreadPool();

        List<String> list = new ArrayList<>();

        CountDownLatch countDownLatch = new CountDownLatch(3);

        Future<String> future1 = executorService.submit(new Task(countDownLatch, "Task1"));
        Future<String> future2 = executorService.submit(new Task(countDownLatch, "Task2"));
        Future<String> future3 = executorService.submit(new Task(countDownLatch, "Task3"));


        try {

            countDownLatch.await(4000, TimeUnit.MICROSECONDS);

            System.out.println("count已为0");

            list.add(future1.get());
            list.add(future2.get());
            list.add(future3.get());

        } catch (InterruptedException | ExecutionException e) {
            e.printStackTrace();
        } finally {
            executorService.shutdown();
        }

        list.forEach(System.out::println);

    }
}

打印展示

CountDownLatch同步计数器

CompletableFuture

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1.基于JDK1.8的lambad表达式
2.在supplyAsync方法中定义要执行的任务
3.通过thenAccept方法消费之前线程的结果
4.通过thenCombine方法整合多个线程的返回结果
5.通过applyToEither方法使用先返回的结果

代码展示

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import java.util.function.Consumer;
import java.util.function.Function;
import java.util.function.Supplier;
import java.util.function.BiFunction;
import java.util.concurrent.CompletableFuture;

public class ThreadConcurrencyTest {

    public static void main(String[] args) {

        /* 消费之前线程的结果 */
        thenAcceptTest();

        System.out.println("----------");

        /* 整合多个线程的返回结果 */
        thenCombineTest();

        System.out.println("----------");

        /* 使用先返回的结果 */
        applyToEitherTest();

    }

    public static void thenAcceptTest() {

        /* lambad表达式 */
        CompletableFuture.supplyAsync(() -> "one two three")
                .thenAccept(s -> System.out.println("thenAccept测试结果: 123 " + s));

        /* 非lambad表达式 */
        CompletableFuture.supplyAsync(new Supplier<String>() {
            @Override
            public String get() {
                return "one two three";
            }
        }).thenAccept(new Consumer<String>() {
            @Override
            public void accept(String s) {
                System.out.println("thenAccept测试结果: 123 " + s);
            }
        });

    }

    public static void thenCombineTest() {

        /* lambad表达式 */
        String s = CompletableFuture.supplyAsync(() -> {

            try {
                Thread.sleep(2000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }

            return "part1";

        }).thenCombine(CompletableFuture.supplyAsync(() -> {

            try {
                Thread.sleep(2000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }

            return "part2";

        }), (result1, result2) -> "thenCombine测试结果: " + result1 + " --- " + result2).join();

        System.out.println(s);

        /* 非lambad表达式 */
        String j = CompletableFuture.supplyAsync(new Supplier<String>() {
            @Override
            public String get() {

                try {
                    Thread.sleep(2000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }

                return "part1";

            }
        }).thenCombine(CompletableFuture.supplyAsync(new Supplier<String>() {
            @Override
            public String get() {

                try {
                    Thread.sleep(2000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }

                return "part2";

            }
        }), new BiFunction<String, String, String>() {
            @Override
            public String apply(String result1, String result2) {
                return "thenCombine测试结果: " + result1 + " --- " + result2;
            }
        }).join();

        System.out.println(j);

    }

    public static void applyToEitherTest() {

        /* lambad表达式 */
        String s = CompletableFuture.supplyAsync(() -> {

            try {
                Thread.sleep(1000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }

            return "return 1";

        }).applyToEither(CompletableFuture.supplyAsync(() -> {

            try {
                Thread.sleep(2000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }

            return "return 2";

        }), result -> "applyToEither方法测试结果: " + result).join();

        System.out.println(s);

        /* 非lambad表达式 */
        String j = CompletableFuture.supplyAsync(new Supplier<String>() {
            @Override
            public String get() {

                try {
                    Thread.sleep(1000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }

                return "return 1";

            }
        }).applyToEither(CompletableFuture.supplyAsync(new Supplier<String>() {
            @Override
            public String get() {

                try {
                    Thread.sleep(2000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }

                return "return 2";

            }
        }), new Function<String, String>() {
            @Override
            public String apply(String s) {
                return "applyToEither方法测试结果: " + s;
            }
        }).join();

        System.out.println(j);

    }
}

打印展示

CompletableFuture

文章作者: 123
文章链接: https://gao5805123.github.io/123/2021/05/25/%E7%BA%BF%E7%A8%8B%E5%B9%B6%E5%8F%91%E7%B1%BB/
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