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java无界阻塞队列 PriorityBlockingQueue

java无界阻塞队列 PriorityBlockingQueue

作者: 韭菜待收割 | 来源:发表于2018-09-11 12:18 被阅读14次
    package java.util.concurrent;
    //无界阻塞优先级队列,每次出队都返回优先级最高的元素
    //是二叉树最小堆的实现
    public class PriorityBlockingQueue<E> extends AbstractQueue<E>
        implements BlockingQueue<E>, java.io.Serializable
    

    1、常用方法

    构造方法

    //默认队列容量
    private static final int DEFAULT_INITIAL_CAPACITY = 11;
    
    public PriorityBlockingQueue() {
        this(DEFAULT_INITIAL_CAPACITY, null);
    }
    
    public PriorityBlockingQueue(int initialCapacity) {
        this(initialCapacity, null);
    }
    
    public PriorityBlockingQueue(int initialCapacity,
                                 Comparator<? super E> comparator) {
        if (initialCapacity < 1)
            throw new IllegalArgumentException();
        //lock独占锁对象用来控制同时只能有一个线程可以进行入队出队操作
        this.lock = new ReentrantLock();
        //notEmpty条件变量用来实现take方法阻塞模式
        //put操作是非阻塞的(无界队 )
        this.notEmpty = lock.newCondition();
        //比较器comparator用来比较元素大小
        this.comparator = comparator;
        //数组queue用来存放队列元素
        this.queue = new Object[initialCapacity];
    }
    

    入队方法

    public boolean add(E e) {
        return offer(e);
    }
    
    public void put(E e) {
        offer(e); // never need to block
    }
    
    /**
     * 增加一个元索
     */
    public boolean offer(E e) {
        if (e == null)
            throw new NullPointerException();
        final ReentrantLock lock = this.lock;
        lock.lock();
        int n, cap;
        Object[] array;
        while ((n = size) >= (cap = (array = queue).length))
            //如果size大小已经达到队列的大小 则 扩容
            tryGrow(array, cap);
        try {
            Comparator<? super E> cmp = comparator;
            if (cmp == null)
                siftUpComparable(n, e, array);
            else
                siftUpUsingComparator(n, e, array, cmp);
            size = n + 1;
            notEmpty.signal();
        } finally {
            lock.unlock();
        }
        return true;
    }
    
     /**
      * 如果size大小已经达到队列的大小 则 扩容
      */
     private void tryGrow(Object[] array, int oldCap) {
         //出于性能考虑,队列此时的出队操作还可以获取锁
         lock.unlock(); // must release and then re-acquire main lock
         Object[] newArray = null;
         //allocationSpinLock用cas控制只有一个线程可以进行扩容
         if (allocationSpinLock == 0 &&
             UNSAFE.compareAndSwapInt(this, allocationSpinLockOffset,
                                      0, 1)) {
             try {
                 //oldGap<64则扩容新增oldcap+2,否者扩容50%
                 int newCap = oldCap + ((oldCap < 64) ?
                                        (oldCap + 2) : // grow faster if small
                                        (oldCap >> 1));
                 if (newCap - MAX_ARRAY_SIZE > 0) {    // possible overflow
                     int minCap = oldCap + 1;
                     if (minCap < 0 || minCap > MAX_ARRAY_SIZE)
                         throw new OutOfMemoryError();
                     newCap = MAX_ARRAY_SIZE;
                 }
                 if (newCap > oldCap && queue == array)
                     newArray = new Object[newCap];
             } finally {
                 allocationSpinLock = 0;
             }
         }
         if (newArray == null) // back off if another thread is allocating
             //其它扩容线程会从执行状态转为就绪状态,让出cpu
             Thread.yield();
         lock.lock();
         if (newArray != null && queue == array) {
             //这里是在获取锁后操作的目的是 确保获取的数组则是最新的(可能有元素出队)
             queue = newArray;
             System.arraycopy(array, 0, newArray, 0, oldCap);
         }
     }
    

    出队方法

    /**
     * 移除并返问队列头部的元素,如果队列为空,则返回null
     */
    public E poll() {
        final ReentrantLock lock = this.lock;
        lock.lock();
        try {
            return dequeue();
        } finally {
            lock.unlock();
        }
    }
    
    /**
     * 移除并返回队列头部的元素,如果队列为空,则阻塞
     */
    public E take() throws InterruptedException {
        final ReentrantLock lock = this.lock;
        lock.lockInterruptibly();
        E result;
        try {
            //如果队列为空,则阻塞
            while ( (result = dequeue()) == null)
                notEmpty.await();
        } finally {
            lock.unlock();
        }
        return result;
    }    
    
    /**
     * 出队
     */
    private E dequeue() {
        int n = size - 1;
        if (n < 0)
            return null;
        else {
            Object[] array = queue;
            //队头元素
            E result = (E) array[0];
            //对尾元素
            E x = (E) array[n];
            array[n] = null;
            Comparator<? super E> cmp = comparator;
            if (cmp == null)
                siftDownComparable(0, x, array, n);
            else
                siftDownUsingComparator(0, x, array, n, cmp);
            size = n;
            return result;
        }
    }
       
    

    其它

    /**
     * 返回队列头部的元素,如果队列为空,则返回null
     */
    public E peek() {
        final ReentrantLock lock = this.lock;
        lock.lock();
        try {
            return (size == 0) ? null : (E) queue[0];
        } finally {
            lock.unlock();
        }
    } 
    
    /**
     * 获取队列元素个数
     */
    public int size() {
        final ReentrantLock lock = this.lock;
        lock.lock();
        try {
            return size;
        } finally {
            lock.unlock();
        }
    }   
    
    

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