摘要：序本文主要簡單介紹下與。有界無界有界，適合已知最大存儲容量的場景可有界可以無界吞吐量在大多數并發的場景下吞吐量比，但是性能不穩定。測試結果表明，的可伸縮性要高于。

本文主要簡單介紹下ArrayBlockingQueue與LinkedBlockingQueue。

ArrayBlockingQueue
用于存儲隊列元素的存儲空間是預先分配的，使用過程中內存開銷較小（無須動態申請存儲空間）

LinkedBlockingQueue
用于存儲隊列元素的存儲空間是在其使用過程中動態分配的，因此它可能會增加JVM垃圾回收的負擔。

ArrayBlockingQueue
有界，適合已知最大存儲容量的場景

LinkedBlockingQueue
可有界可以無界

LinkedBlockingQueue在大多數并發的場景下吞吐量比ArrayBlockingQueue，但是性能不穩定。

Linked queues typically have higher throughput than array-based queues but less predictable performance in most concurrent applications.

測試結果表明，LinkedBlockingQueue的可伸縮性要高于ArrayBlockingQueue。初看起來，這個結果有些奇怪：鏈表隊列在每次插入元素時，都必須分配一個鏈表節點對象，這似乎比基于數組的隊列執行了更多的工作。然而，雖然它擁有更好的內存分配與GC等開銷，但與基于數組的隊列相比，鏈表隊列的put和take等方法支持并發性更高的訪問，因為一些優化后的鏈接隊列算法能將隊列頭節點的更新操作與尾節點的更新操作分離開來。由于內存分配操作通常是線程本地的，因此如果算法能通過多執行一些內存分配操作來降低競爭程度，那么這種算法通常具有更高的可伸縮性。

ArrayBlockingQueue
采用一把鎖，兩個condition

    /** Main lock guarding all access */
    final ReentrantLock lock;

    /** Condition for waiting takes */
    private final Condition notEmpty;

    /** Condition for waiting puts */
    private final Condition notFull;
    
    /**
     * Inserts element at current put position, advances, and signals.
     * Call only when holding lock.
     */
    private void enqueue(E x) {
        // assert lock.getHoldCount() == 1;
        // assert items[putIndex] == null;
        final Object[] items = this.items;
        items[putIndex] = x;
        if (++putIndex == items.length)
            putIndex = 0;
        count++;
        notEmpty.signal();
    }

    /**
     * Extracts element at current take position, advances, and signals.
     * Call only when holding lock.
     */
    private E dequeue() {
        // assert lock.getHoldCount() == 1;
        // assert items[takeIndex] != null;
        final Object[] items = this.items;
        @SuppressWarnings("unchecked")
        E x = (E) items[takeIndex];
        items[takeIndex] = null;
        if (++takeIndex == items.length)
            takeIndex = 0;
        count--;
        if (itrs != null)
            itrs.elementDequeued();
        notFull.signal();
        return x;
    }

此外還支持公平鎖

/**
     * Creates an {@code ArrayBlockingQueue} with the given (fixed)
     * capacity and the specified access policy.
     *
     * @param capacity the capacity of this queue
     * @param fair if {@code true} then queue accesses for threads blocked
     *        on insertion or removal, are processed in FIFO order;
     *        if {@code false} the access order is unspecified.
     * @throws IllegalArgumentException if {@code capacity < 1}
     */
    public ArrayBlockingQueue(int capacity, boolean fair) {
        if (capacity <= 0)
            throw new IllegalArgumentException();
        this.items = new Object[capacity];
        lock = new ReentrantLock(fair);
        notEmpty = lock.newCondition();
        notFull =  lock.newCondition();
    }

LinkedBlockingQueue
頭尾各1把鎖

    /** Lock held by take, poll, etc */
    private final ReentrantLock takeLock = new ReentrantLock();

    /** Wait queue for waiting takes */
    private final Condition notEmpty = takeLock.newCondition();

    /** Lock held by put, offer, etc */
    private final ReentrantLock putLock = new ReentrantLock();

    /** Wait queue for waiting puts */
    private final Condition notFull = putLock.newCondition();
    
    /**
     * 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
     */
    public boolean offer(E e) {
        if (e == null) throw new NullPointerException();
        final AtomicInteger count = this.count;
        if (count.get() == capacity)
            return false;
        int c = -1;
        Node node = new Node(e);
        final ReentrantLock putLock = this.putLock;
        putLock.lock();
        try {
            if (count.get() < capacity) {
                enqueue(node);
                c = count.getAndIncrement();
                if (c + 1 < capacity)
                    notFull.signal();
            }
        } finally {
            putLock.unlock();
        }
        if (c == 0)
            signalNotEmpty();
        return c >= 0;
    }
    
    public E poll(long timeout, TimeUnit unit) throws InterruptedException {
        E x = null;
        int c = -1;
        long nanos = unit.toNanos(timeout);
        final AtomicInteger count = this.count;
        final ReentrantLock takeLock = this.takeLock;
        takeLock.lockInterruptibly();
        try {
            while (count.get() == 0) {
                if (nanos <= 0)
                    return null;
                nanos = notEmpty.awaitNanos(nanos);
            }
            x = dequeue();
            c = count.getAndDecrement();
            if (c > 1)
                notEmpty.signal();
        } finally {
            takeLock.unlock();
        }
        if (c == capacity)
            signalNotFull();
        return x;
    }

里頭用了LinkedBlockingQueue

    public static ExecutorService newFixedThreadPool(int nThreads) {
        return new ThreadPoolExecutor(nThreads, nThreads,
                                      0L, TimeUnit.MILLISECONDS,
                                      new LinkedBlockingQueue());
    }
    
    public static ExecutorService newFixedThreadPool(int nThreads, ThreadFactory threadFactory) {
        return new ThreadPoolExecutor(nThreads, nThreads,
                                      0L, TimeUnit.MILLISECONDS,
                                      new LinkedBlockingQueue(),
                                      threadFactory);
    }
    
    public static ExecutorService newSingleThreadExecutor() {
        return new FinalizableDelegatedExecutorService
            (new ThreadPoolExecutor(1, 1,
                                    0L, TimeUnit.MILLISECONDS,
                                    new LinkedBlockingQueue()));
    }
    
    public static ExecutorService newSingleThreadExecutor(ThreadFactory threadFactory) {
        return new FinalizableDelegatedExecutorService
            (new ThreadPoolExecutor(1, 1,
                                    0L, TimeUnit.MILLISECONDS,
                                    new LinkedBlockingQueue(),
                                    threadFactory));
    }

使用LinkedBlockingQueue實現logger

public class BungeeLogger extends Logger {

    private final ColouredWriter writer;
    private final Formatter formatter = new ConciseFormatter();
//    private final LogDispatcher dispatcher = new LogDispatcher(this);

    private final BlockingQueue queue = new LinkedBlockingQueue<>();

    volatile boolean running = true;

    Thread recvThread = new Thread(){
        @Override
        public void run() {
            while (!isInterrupted() && running) {
                LogRecord record;
                try {
                    record = queue.take();
                } catch (InterruptedException ex) {
                    continue;
                }

                doLog(record);
            }
            for (LogRecord record : queue) {
                doLog(record);
            }
        }
    };

    public BungeeLogger() throws IOException {
        super("BungeeCord", null);
        this.writer = new ColouredWriter(new ConsoleReader());

        try {
            FileHandler handler = new FileHandler("proxy.log", 1 << 24, 8, true);
            handler.setFormatter(formatter);
            addHandler(handler);
        } catch (IOException ex) {
            System.err.println("Could not register logger!");
            ex.printStackTrace();
        }
        recvThread.start();

        Runtime.getRuntime().addShutdownHook(new Thread(){
            @Override
            public void run() {
                running = false;
            }
        });
    }

    @Override
    public void log(LogRecord record) {
        if (running) {
            queue.add(record);
        }
    }

    void doLog(LogRecord record) {
        super.log(record);
        writer.print(formatter.format(record));
    }
}

BungeeCord