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社区首页 >专栏 >Java LinkedBlockingQueue

Java LinkedBlockingQueue

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用户7886150
修改2021-04-23 10:47:30
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修改2021-04-23 10:47:30
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文章被收录于专栏:bit哲学院

参考链接: Java LinkedBlockingQueue

描述 

继承了AbstractQueue类,实现了BlockingQueue和Serializable接口 

构造 

/**

 * Creates a {@code LinkedBlockingQueue} with a capacity of

 * {@link Integer#MAX_VALUE}.

 */

// 如果没传capacity 则默认使用Integer.MAX_VALUE作为队列大小

public LinkedBlockingQueue() {

    this(Integer.MAX_VALUE);

}

/**

 * Creates a {@code LinkedBlockingQueue} with the given (fixed) capacity.

 *

 * @param capacity the capacity of this queue

 * @throws IllegalArgumentException if {@code capacity} is not greater

 *         than zero

 */

 //设置大小为capacity,并设置item为null的head和last辅助节点

public LinkedBlockingQueue(int capacity) {

    if (capacity <= 0) throw new IllegalArgumentException();

    this.capacity = capacity;

    last = head = new Node<E>(null);

}

/**

 * Creates a {@code LinkedBlockingQueue} with a capacity of

 * {@link Integer#MAX_VALUE}, initially containing the elements of the

 * given collection,

 * added in traversal order of the collection's iterator.

 *

 * @param c the collection of elements to initially contain

 * @throws NullPointerException if the specified collection or any

 *         of its elements are null

 */

public LinkedBlockingQueue(Collection<? extends E> c) {

    this(Integer.MAX_VALUE);

    //加入队锁

    final ReentrantLock putLock = this.putLock;

    putLock.lock(); // Never contended, but necessary for visibility

    try {

        int n = 0;

        //依次将Collection中的元素加入队列

        for (E e : c) {

            if (e == null)

                throw new NullPointerException();

            if (n == capacity)

                throw new IllegalStateException("Queue full");

            enqueue(new Node<E>(e));

            ++n;

        }

        //设置队列大小n

        count.set(n);

    } finally {

        //解锁

        putLock.unlock();

    }

}

从构造函数看出,LinkedBlockingQueue是一个有界的队列,队列最大值为capacity,如果初始化时不设置队列大小,则默认大小为Integer.MAX_VALUE 

Api 

put 将元素加入队列,如果队列满,则一直等待,直到线程被中断或被唤醒 

/**

 * Inserts the specified element at the tail of this queue, waiting if

 * necessary for space to become available.

 *

 * @throws InterruptedException {@inheritDoc}

 * @throws NullPointerException {@inheritDoc}

 */

public void put(E e) throws InterruptedException {

    if (e == null) throw new NullPointerException();

    final int c;

    final Node<E> node = new Node<E>(e);

    //入队锁,如果收到中断信号,则抛出异常

    final ReentrantLock putLock = this.putLock;

    final AtomicInteger count = this.count;

    putLock.lockInterruptibly();

    try {

        /*

         * Note that count is used in wait guard even though it is

         * not protected by lock. This works because count can

         * only decrease at this point (all other puts are shut

         * out by lock), and we (or some other waiting put) are

         * signalled if it ever changes from capacity. Similarly

         * for all other uses of count in other wait guards.

         */

         //如果队列满了,则通知线程进入await状态。

        while (count.get() == capacity) {

            notFull.await();

        }

        //将node加入队列

        enqueue(node);

        //队列元素数加一

        c = count.getAndIncrement();

        //如果队列没满,则唤醒await的线程进行入队操作

        if (c + 1 < capacity)

            notFull.signal();

    } finally {

        //释放锁

        putLock.unlock();

    }

    //如果是第一次添加元素,则通知等待的读线程可以开始读数据了

    if (c == 0)

        signalNotEmpty();

}

offer 

/**

 * Inserts the specified element at the tail of this queue if it is

 * possible to do so immediately without exceeding the queue's capacity,

 * returning {@code true} upon success and {@code false} if this queue

 * is full.

 * When using a capacity-restricted queue, this method is generally

 * preferable to method {@link BlockingQueue#add add}, which can fail to

 * insert an element only by throwing an exception.

 *

 * @throws NullPointerException if the specified element is null

 */

 //将元素加入队列,如果队列满,则直接返回false

public boolean offer(E e) {

    if (e == null) throw new NullPointerException();

    final AtomicInteger count = this.count;

    //如果队列满了,则直接返回false。

    if (count.get() == capacity)

        return false;

    final int c;

    final Node<E> node = new Node<E>(e);

    //加入队锁

    final ReentrantLock putLock = this.putLock;

    putLock.lock();

    try {

        //再次判断, 队列是否满了,避免在第一次判断后和加锁前,队列被加满

        if (count.get() == capacity)

            return false;

        //将node添加到队列中

        enqueue(node);

        c = count.getAndIncrement();

        //如果队列没满,则唤醒await的线程进行入队操作

        if (c + 1 < capacity)

            notFull.signal();

    } finally {

        //释放锁

        putLock.unlock();

    }

    //如果是第一次添加元素,则通知等待的读线程可以开始读数据了

    if (c == 0)

        signalNotEmpty();

    return true;

}

/**

 * Inserts the specified element at the tail of this queue, waiting if

 * necessary up to the specified wait time for space to become available.

 *

 * @return {@code true} if successful, or {@code false} if

 *         the specified waiting time elapses before space is available

 * @throws InterruptedException {@inheritDoc}

 * @throws NullPointerException {@inheritDoc}

 */

 //将元素加入队列,可以设置等待超时时间,如果队列满,则等待timeout毫秒,超时返回false

public boolean offer(E e, long timeout, TimeUnit unit)

    throws InterruptedException {

    if (e == null) throw new NullPointerException();

    long nanos = unit.toNanos(timeout);

    final int c;

    //加锁

    final ReentrantLock putLock = this.putLock;

    final AtomicInteger count = this.count;

    putLock.lockInterruptibly();

    try {

        //如果队列满了,则等待timeout毫秒,超时则返回false

        while (count.get() == capacity) {

            if (nanos <= 0L)

                return false;

            nanos = notFull.awaitNanos(nanos);

        }

        //入队

        enqueue(new Node<E>(e));

        c = count.getAndIncrement();

        //如果队列没满,则唤醒await的线程进行入队操作

        if (c + 1 < capacity)

            notFull.signal();

    } finally {

        //释放锁

        putLock.unlock();

    }

    //如果是第一次添加元素,则通知等待的读线程可以开始读数据了

    if (c == 0)

        signalNotEmpty();

    return true;

}

take 从队列中取出元素,如果队列为空,则一直等待,直到线程被中断或被唤醒 

public E take() throws InterruptedException {

    final E x;

    final int c;

    final AtomicInteger count = this.count;

    //加出队锁

    final ReentrantLock takeLock = this.takeLock;

    takeLock.lockInterruptibly();

    try {

        //如果队列为空,则通知线程进入await状态。

        while (count.get() == 0) {

            notEmpty.await();

        }

        //从队列头部取出元素

        x = dequeue();

        //count减一

        c = count.getAndDecrement();

        //如果队列不为空,则唤醒出队等待线程

        if (c > 1)

            notEmpty.signal();

    } finally {

        //释放锁

        takeLock.unlock();

    }

    //如果从满的队列中出列,则唤醒入队线程,队列已经不满了,可以添加元素了

    if (c == capacity)

        signalNotFull();

    return x;

}

poll 

public E poll() {

    final AtomicInteger count = this.count;

    //如果队列为空,直接返回null

    if (count.get() == 0)

        return null;

    final E x;

    final int c;

    //加出队锁

    final ReentrantLock takeLock = this.takeLock;

    takeLock.lock();

    try {

        //如果队列为空,直接返回null

        if (count.get() == 0)

            return null;

        //出队,移除第一个数据节点

        x = dequeue();

        c = count.getAndDecrement();

        //如果队列不为空,则唤醒出队等待线程

        if (c > 1)

            notEmpty.signal();

    } finally {

        takeLock.unlock();

    }

    //如果从满的队列中出列,则唤醒入队线程,队列已经不满了,可以添加元素了

    if (c == capacity)

        signalNotFull();

    return x;

}

public E poll(long timeout, TimeUnit unit) throws InterruptedException {

        final E x;

        final int c;

        long nanos = unit.toNanos(timeout);

        final AtomicInteger count = this.count;

        final ReentrantLock takeLock = this.takeLock;

        takeLock.lockInterruptibly();

        try {

            //如果队列为空,则等待timeout时间, 超时返回null

            while (count.get() == 0) {

                if (nanos <= 0L)

                    return null;

                nanos = notEmpty.awaitNanos(nanos);

            }

            //出队列

            x = dequeue();

            c = count.getAndDecrement();

            //如果队列不为空,则唤醒出队等待线程

            if (c > 1)

                notEmpty.signal();

        } finally {

            //释放锁

            takeLock.unlock();

        }

        //如果从满的队列中出列,则唤醒入队线程,队列已经不满了,可以添加元素了

        if (c == capacity)

            signalNotFull();

        return x;

    }

peek 

public E peek() {

    final AtomicInteger count = this.count;

    //如果队列为空,返回null

    if (count.get() == 0)

        return null;

    final ReentrantLock takeLock = this.takeLock;

    takeLock.lock();

    try {

        //队列不为空返回第一个数据节点的元素,不移除节点,为空则返回null

        return (count.get() > 0) ? head.next.item : null;

    } finally {

        takeLock.unlock();

    }

}

remove 

/**

 * Removes a single instance of the specified element from this queue,

 * if it is present.  More formally, removes an element {@code e} such

 * that {@code o.equals(e)}, if this queue contains one or more such

 * elements.

 * Returns {@code true} if this queue contained the specified element

 * (or equivalently, if this queue changed as a result of the call).

 *

 * @param o element to be removed from this queue, if present

 * @return {@code true} if this queue changed as a result of the call

 */

public boolean remove(Object o) {

    //如果移除的元素为null,在返回false

    if (o == null) return false;

    //加入队和出队锁

    fullyLock();

    try {

        //遍历队列,存在元素o则移除,返回true,否则返回false

        for (Node<E> pred = head, p = pred.next;

             p != null;

             pred = p, p = p.next) {

            if (o.equals(p.item)) {

                unlink(p, pred);

                return true;

            }

        }

        return false;

    } finally {

        //释放入队锁和出队锁

        fullyUnlock();

    }

}

总结 

LinkedBlockingQueue是一个有界的阻塞队列,初始化时,需要设置队列大小, 在队列满时,入队操作会等待,队列为空时,出队操作会等待。 和ConcurrentLinkedQueue对比,LinkedBlockingQueue采用锁分离,比较适合生产和消费频率差不多的场景,并且锁同步更适合单消费者的任务队列,而ConcurrentLinkedQueue使用CAS,并发性能较高更适合消费者多的消息队列。

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如有侵权,请联系 cloudcommunity@tencent.com 删除。

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