Java多线程系列--“JUC集合”07之 ArrayBlockingQueue

概要

本章对Java.util.concurrent包中的ArrayBlockingQueue类进行详细的介绍。内容包括:
ArrayBlockingQueue介绍ArrayBlockingQueue原理和数据结构
ArrayBlockingQueue函数列表
ArrayBlockingQueue源码分析(JDK1.7.0_40版本)
ArrayBlockingQueue示例

转载请注明出处:http://www.cnblogs.com/skywang12345/p/3498652.html

ArrayBlockingQueue介绍

ArrayBlockingQueue是数组实现的线程安全的有界的阻塞队列。
线程安全是指,ArrayBlockingQueue内部通过“互斥锁”保护竞争资源,实现了多线程对竞争资源的互斥访问。而有界,则是指ArrayBlockingQueue对应的数组是有界限的。 阻塞队列,是指多线程访问竞争资源时,当竞争资源已被某线程获取时,其它要获取该资源的线程需要阻塞等待;而且,ArrayBlockingQueue是按 FIFO(先进先出)原则对元素进行排序,元素都是从尾部插入到队列,从头部开始返回。

注意:ArrayBlockingQueue不同于ConcurrentLinkedQueue,ArrayBlockingQueue是数组实现的,并且是有界限的;而ConcurrentLinkedQueue是链表实现的,是*限的。

ArrayBlockingQueue原理和数据结构

ArrayBlockingQueue的数据结构,如下图所示:

Java多线程系列--“JUC集合”07之 ArrayBlockingQueue

说明
    1. ArrayBlockingQueue继承于AbstractQueue,并且它实现了BlockingQueue接口。
    2. ArrayBlockingQueue内部是通过Object[]数组保存数据的,也就是说ArrayBlockingQueue本质上是通过数组实现的。ArrayBlockingQueue的大小,即数组的容量是创建ArrayBlockingQueue时指定的。
    3. ArrayBlockingQueue与ReentrantLock是组合关系,ArrayBlockingQueue中包含一个ReentrantLock对象(lock)。ReentrantLock是可重入的互斥锁,ArrayBlockingQueue就是根据该互斥锁实现“多线程对竞争资源的互斥访问”。而且,ReentrantLock分为公平锁和非公平锁,关于具体使用公平锁还是非公平锁,在创建ArrayBlockingQueue时可以指定;而且,ArrayBlockingQueue默认会使用非公平锁。
    4. ArrayBlockingQueue与Condition是组合关系,ArrayBlockingQueue中包含两个Condition对象(notEmpty和notFull)。而且,Condition又依赖于ArrayBlockingQueue而存在,通过Condition可以实现对ArrayBlockingQueue的更精确的访问 -- (01)若某线程(线程A)要取数据时,数组正好为空,则该线程会执行notEmpty.await()进行等待;当其它某个线程(线程B)向数组中插入了数据之后,会调用notEmpty.signal()唤醒“notEmpty上的等待线程”。此时,线程A会被唤醒从而得以继续运行。(02)若某线程(线程H)要插入数据时,数组已满,则该线程会它执行notFull.await()进行等待;当其它某个线程(线程I)取出数据之后,会调用notFull.signal()唤醒“notFull上的等待线程”。此时,线程H就会被唤醒从而得以继续运行。
    关于ReentrantLock,公平锁,非公平锁,以及Condition等更多的内容,可以参考:

(01) Java多线程系列--“JUC锁”02之 互斥锁ReentrantLock
    (02) Java多线程系列--“JUC锁”03之 公平锁(一)
    (03) Java多线程系列--“JUC锁”04之 公平锁(二)
    (04) Java多线程系列--“JUC锁”05之 非公平锁
    (05) Java多线程系列--“JUC锁”06之 Condition条件

ArrayBlockingQueue函数列表

// 创建一个带有给定的(固定)容量和默认访问策略的 ArrayBlockingQueue。
ArrayBlockingQueue(int capacity)
// 创建一个具有给定的(固定)容量和指定访问策略的 ArrayBlockingQueue。
ArrayBlockingQueue(int capacity, boolean fair)
// 创建一个具有给定的(固定)容量和指定访问策略的 ArrayBlockingQueue,它最初包含给定 collection 的元素,并以 collection 迭代器的遍历顺序添加元素。
ArrayBlockingQueue(int capacity, boolean fair, Collection<? extends E> c) // 将指定的元素插入到此队列的尾部(如果立即可行且不会超过该队列的容量),在成功时返回 true,如果此队列已满,则抛出 IllegalStateException。
boolean add(E e)
// 自动移除此队列中的所有元素。
void clear()
// 如果此队列包含指定的元素,则返回 true。
boolean contains(Object o)
// 移除此队列中所有可用的元素,并将它们添加到给定 collection 中。
int drainTo(Collection<? super E> c)
// 最多从此队列中移除给定数量的可用元素,并将这些元素添加到给定 collection 中。
int drainTo(Collection<? super E> c, int maxElements)
// 返回在此队列中的元素上按适当顺序进行迭代的迭代器。
Iterator<E> iterator()
// 将指定的元素插入到此队列的尾部(如果立即可行且不会超过该队列的容量),在成功时返回 true,如果此队列已满,则返回 false。
boolean offer(E e)
// 将指定的元素插入此队列的尾部,如果该队列已满,则在到达指定的等待时间之前等待可用的空间。
boolean offer(E e, long timeout, TimeUnit unit)
// 获取但不移除此队列的头;如果此队列为空,则返回 null。
E peek()
// 获取并移除此队列的头,如果此队列为空,则返回 null。
E poll()
// 获取并移除此队列的头部,在指定的等待时间前等待可用的元素(如果有必要)。
E poll(long timeout, TimeUnit unit)
// 将指定的元素插入此队列的尾部,如果该队列已满,则等待可用的空间。
void put(E e)
// 返回在无阻塞的理想情况下(不存在内存或资源约束)此队列能接受的其他元素数量。
int remainingCapacity()
// 从此队列中移除指定元素的单个实例(如果存在)。
boolean remove(Object o)
// 返回此队列中元素的数量。
int size()
// 获取并移除此队列的头部,在元素变得可用之前一直等待(如果有必要)。
E take()
// 返回一个按适当顺序包含此队列中所有元素的数组。
Object[] toArray()
// 返回一个按适当顺序包含此队列中所有元素的数组;返回数组的运行时类型是指定数组的运行时类型。
<T> T[] toArray(T[] a)
// 返回此 collection 的字符串表示形式。
String toString()

ArrayBlockingQueue源码分析(JDK1.7.0_40版本)

ArrayBlockingQueue.java的完整源码如下:

 /*
* ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms.
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*/ /*
*
*
*
*
*
* Written by Doug Lea with assistance from members of JCP JSR-166
* Expert Group and released to the public domain, as explained at
* http://creativecommons.org/publicdomain/zero/1.0/
*/ package java.util.concurrent;
import java.util.concurrent.locks.*;
import java.util.*; /**
* A bounded {@linkplain BlockingQueue blocking queue} backed by an
* array. This queue orders elements FIFO (first-in-first-out). The
* <em>head</em> of the queue is that element that has been on the
* queue the longest time. The <em>tail</em> of the queue is that
* element that has been on the queue the shortest time. New elements
* are inserted at the tail of the queue, and the queue retrieval
* operations obtain elements at the head of the queue.
*
* <p>This is a classic &quot;bounded buffer&quot;, in which a
* fixed-sized array holds elements inserted by producers and
* extracted by consumers. Once created, the capacity cannot be
* changed. Attempts to {@code put} an element into a full queue
* will result in the operation blocking; attempts to {@code take} an
* element from an empty queue will similarly block.
*
* <p>This class supports an optional fairness policy for ordering
* waiting producer and consumer threads. By default, this ordering
* is not guaranteed. However, a queue constructed with fairness set
* to {@code true} grants threads access in FIFO order. Fairness
* generally decreases throughput but reduces variability and avoids
* starvation.
*
* <p>This class and its iterator implement all of the
* <em>optional</em> methods of the {@link Collection} and {@link
* Iterator} interfaces.
*
* <p>This class is a member of the
* <a href="{@docRoot}/../technotes/guides/collections/index.html">
* Java Collections Framework</a>.
*
* @since 1.5
* @author Doug Lea
* @param <E> the type of elements held in this collection
*/
public class ArrayBlockingQueue<E> extends AbstractQueue<E>
implements BlockingQueue<E>, java.io.Serializable { /**
* Serialization ID. This class relies on default serialization
* even for the items array, which is default-serialized, even if
* it is empty. Otherwise it could not be declared final, which is
* necessary here.
*/
private static final long serialVersionUID = -817911632652898426L; /** The queued items */
final Object[] items; /** items index for next take, poll, peek or remove */
int takeIndex; /** items index for next put, offer, or add */
int putIndex; /** Number of elements in the queue */
int count; /*
* Concurrency control uses the classic two-condition algorithm
* found in any textbook.
*/ /** Main lock guarding all access */
final ReentrantLock lock;
/** Condition for waiting takes */
private final Condition notEmpty;
/** Condition for waiting puts */
private final Condition notFull; // Internal helper methods /**
* Circularly increment i.
*/
final int inc(int i) {
return (++i == items.length) ? 0 : i;
} /**
* Circularly decrement i.
*/
final int dec(int i) {
return ((i == 0) ? items.length : i) - 1;
} @SuppressWarnings("unchecked")
static <E> E cast(Object item) {
return (E) item;
} /**
* Returns item at index i.
*/
final E itemAt(int i) {
return this.<E>cast(items[i]);
} /**
* Throws NullPointerException if argument is null.
*
* @param v the element
*/
private static void checkNotNull(Object v) {
if (v == null)
throw new NullPointerException();
} /**
* Inserts element at current put position, advances, and signals.
* Call only when holding lock.
*/
private void insert(E x) {
items[putIndex] = x;
putIndex = inc(putIndex);
++count;
notEmpty.signal();
} /**
* Extracts element at current take position, advances, and signals.
* Call only when holding lock.
*/
private E extract() {
final Object[] items = this.items;
E x = this.<E>cast(items[takeIndex]);
items[takeIndex] = null;
takeIndex = inc(takeIndex);
--count;
notFull.signal();
return x;
} /**
* Deletes item at position i.
* Utility for remove and iterator.remove.
* Call only when holding lock.
*/
void removeAt(int i) {
final Object[] items = this.items;
// if removing front item, just advance
if (i == takeIndex) {
items[takeIndex] = null;
takeIndex = inc(takeIndex);
} else {
// slide over all others up through putIndex.
for (;;) {
int nexti = inc(i);
if (nexti != putIndex) {
items[i] = items[nexti];
i = nexti;
} else {
items[i] = null;
putIndex = i;
break;
}
}
}
--count;
notFull.signal();
} /**
* Creates an {@code ArrayBlockingQueue} with the given (fixed)
* capacity and default access policy.
*
* @param capacity the capacity of this queue
* @throws IllegalArgumentException if {@code capacity < 1}
*/
public ArrayBlockingQueue(int capacity) {
this(capacity, false);
} /**
* 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();
} /**
* Creates an {@code ArrayBlockingQueue} with the given (fixed)
* capacity, the specified access policy and initially containing the
* elements of the given collection,
* added in traversal order of the collection's iterator.
*
* @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.
* @param c the collection of elements to initially contain
* @throws IllegalArgumentException if {@code capacity} is less than
* {@code c.size()}, or less than 1.
* @throws NullPointerException if the specified collection or any
* of its elements are null
*/
public ArrayBlockingQueue(int capacity, boolean fair,
Collection<? extends E> c) {
this(capacity, fair); final ReentrantLock lock = this.lock;
lock.lock(); // Lock only for visibility, not mutual exclusion
try {
int i = 0;
try {
for (E e : c) {
checkNotNull(e);
items[i++] = e;
}
} catch (ArrayIndexOutOfBoundsException ex) {
throw new IllegalArgumentException();
}
count = i;
putIndex = (i == capacity) ? 0 : i;
} finally {
lock.unlock();
}
} /**
* 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 throwing an
* {@code IllegalStateException} if this queue is full.
*
* @param e the element to add
* @return {@code true} (as specified by {@link Collection#add})
* @throws IllegalStateException if this queue is full
* @throws NullPointerException if the specified element is null
*/
public boolean add(E e) {
return super.add(e);
} /**
* 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. This method is generally preferable to method {@link #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) {
checkNotNull(e);
final ReentrantLock lock = this.lock;
lock.lock();
try {
if (count == items.length)
return false;
else {
insert(e);
return true;
}
} finally {
lock.unlock();
}
} /**
* Inserts the specified element at the tail of this queue, waiting
* for space to become available if the queue is full.
*
* @throws InterruptedException {@inheritDoc}
* @throws NullPointerException {@inheritDoc}
*/
public void put(E e) throws InterruptedException {
checkNotNull(e);
final ReentrantLock lock = this.lock;
lock.lockInterruptibly();
try {
while (count == items.length)
notFull.await();
insert(e);
} finally {
lock.unlock();
}
} /**
* Inserts the specified element at the tail of this queue, waiting
* up to the specified wait time for space to become available if
* the queue is full.
*
* @throws InterruptedException {@inheritDoc}
* @throws NullPointerException {@inheritDoc}
*/
public boolean offer(E e, long timeout, TimeUnit unit)
throws InterruptedException { checkNotNull(e);
long nanos = unit.toNanos(timeout);
final ReentrantLock lock = this.lock;
lock.lockInterruptibly();
try {
while (count == items.length) {
if (nanos <= 0)
return false;
nanos = notFull.awaitNanos(nanos);
}
insert(e);
return true;
} finally {
lock.unlock();
}
} public E poll() {
final ReentrantLock lock = this.lock;
lock.lock();
try {
return (count == 0) ? null : extract();
} finally {
lock.unlock();
}
} public E take() throws InterruptedException {
final ReentrantLock lock = this.lock;
lock.lockInterruptibly();
try {
while (count == 0)
notEmpty.await();
return extract();
} finally {
lock.unlock();
}
} public E poll(long timeout, TimeUnit unit) throws InterruptedException {
long nanos = unit.toNanos(timeout);
final ReentrantLock lock = this.lock;
lock.lockInterruptibly();
try {
while (count == 0) {
if (nanos <= 0)
return null;
nanos = notEmpty.awaitNanos(nanos);
}
return extract();
} finally {
lock.unlock();
}
} public E peek() {
final ReentrantLock lock = this.lock;
lock.lock();
try {
return (count == 0) ? null : itemAt(takeIndex);
} finally {
lock.unlock();
}
} // this doc comment is overridden to remove the reference to collections
// greater in size than Integer.MAX_VALUE
/**
* Returns the number of elements in this queue.
*
* @return the number of elements in this queue
*/
public int size() {
final ReentrantLock lock = this.lock;
lock.lock();
try {
return count;
} finally {
lock.unlock();
}
} // this doc comment is a modified copy of the inherited doc comment,
// without the reference to unlimited queues.
/**
* Returns the number of additional elements that this queue can ideally
* (in the absence of memory or resource constraints) accept without
* blocking. This is always equal to the initial capacity of this queue
* less the current {@code size} of this queue.
*
* <p>Note that you <em>cannot</em> always tell if an attempt to insert
* an element will succeed by inspecting {@code remainingCapacity}
* because it may be the case that another thread is about to
* insert or remove an element.
*/
public int remainingCapacity() {
final ReentrantLock lock = this.lock;
lock.lock();
try {
return items.length - count;
} finally {
lock.unlock();
}
} /**
* 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).
*
* <p>Removal of interior elements in circular array based queues
* is an intrinsically slow and disruptive operation, so should
* be undertaken only in exceptional circumstances, ideally
* only when the queue is known not to be accessible by other
* threads.
*
* @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) {
if (o == null) return false;
final Object[] items = this.items;
final ReentrantLock lock = this.lock;
lock.lock();
try {
for (int i = takeIndex, k = count; k > 0; i = inc(i), k--) {
if (o.equals(items[i])) {
removeAt(i);
return true;
}
}
return false;
} finally {
lock.unlock();
}
} /**
* Returns {@code true} if this queue contains the specified element.
* More formally, returns {@code true} if and only if this queue contains
* at least one element {@code e} such that {@code o.equals(e)}.
*
* @param o object to be checked for containment in this queue
* @return {@code true} if this queue contains the specified element
*/
public boolean contains(Object o) {
if (o == null) return false;
final Object[] items = this.items;
final ReentrantLock lock = this.lock;
lock.lock();
try {
for (int i = takeIndex, k = count; k > 0; i = inc(i), k--)
if (o.equals(items[i]))
return true;
return false;
} finally {
lock.unlock();
}
} /**
* Returns an array containing all of the elements in this queue, in
* proper sequence.
*
* <p>The returned array will be "safe" in that no references to it are
* maintained by this queue. (In other words, this method must allocate
* a new array). The caller is thus free to modify the returned array.
*
* <p>This method acts as bridge between array-based and collection-based
* APIs.
*
* @return an array containing all of the elements in this queue
*/
public Object[] toArray() {
final Object[] items = this.items;
final ReentrantLock lock = this.lock;
lock.lock();
try {
final int count = this.count;
Object[] a = new Object[count];
for (int i = takeIndex, k = 0; k < count; i = inc(i), k++)
a[k] = items[i];
return a;
} finally {
lock.unlock();
}
} /**
* Returns an array containing all of the elements in this queue, in
* proper sequence; the runtime type of the returned array is that of
* the specified array. If the queue fits in the specified array, it
* is returned therein. Otherwise, a new array is allocated with the
* runtime type of the specified array and the size of this queue.
*
* <p>If this queue fits in the specified array with room to spare
* (i.e., the array has more elements than this queue), the element in
* the array immediately following the end of the queue is set to
* {@code null}.
*
* <p>Like the {@link #toArray()} method, this method acts as bridge between
* array-based and collection-based APIs. Further, this method allows
* precise control over the runtime type of the output array, and may,
* under certain circumstances, be used to save allocation costs.
*
* <p>Suppose {@code x} is a queue known to contain only strings.
* The following code can be used to dump the queue into a newly
* allocated array of {@code String}:
*
* <pre>
* String[] y = x.toArray(new String[0]);</pre>
*
* Note that {@code toArray(new Object[0])} is identical in function to
* {@code toArray()}.
*
* @param a the array into which the elements of the queue are to
* be stored, if it is big enough; otherwise, a new array of the
* same runtime type is allocated for this purpose
* @return an array containing all of the elements in this queue
* @throws ArrayStoreException if the runtime type of the specified array
* is not a supertype of the runtime type of every element in
* this queue
* @throws NullPointerException if the specified array is null
*/
@SuppressWarnings("unchecked")
public <T> T[] toArray(T[] a) {
final Object[] items = this.items;
final ReentrantLock lock = this.lock;
lock.lock();
try {
final int count = this.count;
final int len = a.length;
if (len < count)
a = (T[])java.lang.reflect.Array.newInstance(
a.getClass().getComponentType(), count);
for (int i = takeIndex, k = 0; k < count; i = inc(i), k++)
a[k] = (T) items[i];
if (len > count)
a[count] = null;
return a;
} finally {
lock.unlock();
}
} public String toString() {
final ReentrantLock lock = this.lock;
lock.lock();
try {
int k = count;
if (k == 0)
return "[]"; StringBuilder sb = new StringBuilder();
sb.append('[');
for (int i = takeIndex; ; i = inc(i)) {
Object e = items[i];
sb.append(e == this ? "(this Collection)" : e);
if (--k == 0)
return sb.append(']').toString();
sb.append(',').append(' ');
}
} finally {
lock.unlock();
}
} /**
* Atomically removes all of the elements from this queue.
* The queue will be empty after this call returns.
*/
public void clear() {
final Object[] items = this.items;
final ReentrantLock lock = this.lock;
lock.lock();
try {
for (int i = takeIndex, k = count; k > 0; i = inc(i), k--)
items[i] = null;
count = 0;
putIndex = 0;
takeIndex = 0;
notFull.signalAll();
} finally {
lock.unlock();
}
} /**
* @throws UnsupportedOperationException {@inheritDoc}
* @throws ClassCastException {@inheritDoc}
* @throws NullPointerException {@inheritDoc}
* @throws IllegalArgumentException {@inheritDoc}
*/
public int drainTo(Collection<? super E> c) {
checkNotNull(c);
if (c == this)
throw new IllegalArgumentException();
final Object[] items = this.items;
final ReentrantLock lock = this.lock;
lock.lock();
try {
int i = takeIndex;
int n = 0;
int max = count;
while (n < max) {
c.add(this.<E>cast(items[i]));
items[i] = null;
i = inc(i);
++n;
}
if (n > 0) {
count = 0;
putIndex = 0;
takeIndex = 0;
notFull.signalAll();
}
return n;
} finally {
lock.unlock();
}
} /**
* @throws UnsupportedOperationException {@inheritDoc}
* @throws ClassCastException {@inheritDoc}
* @throws NullPointerException {@inheritDoc}
* @throws IllegalArgumentException {@inheritDoc}
*/
public int drainTo(Collection<? super E> c, int maxElements) {
checkNotNull(c);
if (c == this)
throw new IllegalArgumentException();
if (maxElements <= 0)
return 0;
final Object[] items = this.items;
final ReentrantLock lock = this.lock;
lock.lock();
try {
int i = takeIndex;
int n = 0;
int max = (maxElements < count) ? maxElements : count;
while (n < max) {
c.add(this.<E>cast(items[i]));
items[i] = null;
i = inc(i);
++n;
}
if (n > 0) {
count -= n;
takeIndex = i;
notFull.signalAll();
}
return n;
} finally {
lock.unlock();
}
} /**
* Returns an iterator over the elements in this queue in proper sequence.
* The elements will be returned in order from first (head) to last (tail).
*
* <p>The returned {@code Iterator} is a "weakly consistent" iterator that
* will never throw {@link java.util.ConcurrentModificationException
* ConcurrentModificationException},
* and guarantees to traverse elements as they existed upon
* construction of the iterator, and may (but is not guaranteed to)
* reflect any modifications subsequent to construction.
*
* @return an iterator over the elements in this queue in proper sequence
*/
public Iterator<E> iterator() {
return new Itr();
} /**
* Iterator for ArrayBlockingQueue. To maintain weak consistency
* with respect to puts and takes, we (1) read ahead one slot, so
* as to not report hasNext true but then not have an element to
* return -- however we later recheck this slot to use the most
* current value; (2) ensure that each array slot is traversed at
* most once (by tracking "remaining" elements); (3) skip over
* null slots, which can occur if takes race ahead of iterators.
* However, for circular array-based queues, we cannot rely on any
* well established definition of what it means to be weakly
* consistent with respect to interior removes since these may
* require slot overwrites in the process of sliding elements to
* cover gaps. So we settle for resiliency, operating on
* established apparent nexts, which may miss some elements that
* have moved between calls to next.
*/
private class Itr implements Iterator<E> {
private int remaining; // Number of elements yet to be returned
private int nextIndex; // Index of element to be returned by next
private E nextItem; // Element to be returned by next call to next
private E lastItem; // Element returned by last call to next
private int lastRet; // Index of last element returned, or -1 if none Itr() {
final ReentrantLock lock = ArrayBlockingQueue.this.lock;
lock.lock();
try {
lastRet = -1;
if ((remaining = count) > 0)
nextItem = itemAt(nextIndex = takeIndex);
} finally {
lock.unlock();
}
} public boolean hasNext() {
return remaining > 0;
} public E next() {
final ReentrantLock lock = ArrayBlockingQueue.this.lock;
lock.lock();
try {
if (remaining <= 0)
throw new NoSuchElementException();
lastRet = nextIndex;
E x = itemAt(nextIndex); // check for fresher value
if (x == null) {
x = nextItem; // we are forced to report old value
lastItem = null; // but ensure remove fails
}
else
lastItem = x;
while (--remaining > 0 && // skip over nulls
(nextItem = itemAt(nextIndex = inc(nextIndex))) == null)
;
return x;
} finally {
lock.unlock();
}
} public void remove() {
final ReentrantLock lock = ArrayBlockingQueue.this.lock;
lock.lock();
try {
int i = lastRet;
if (i == -1)
throw new IllegalStateException();
lastRet = -1;
E x = lastItem;
lastItem = null;
// only remove if item still at index
if (x != null && x == items[i]) {
boolean removingHead = (i == takeIndex);
removeAt(i);
if (!removingHead)
nextIndex = dec(nextIndex);
}
} finally {
lock.unlock();
}
}
} }

下面从ArrayBlockingQueue的创建,添加,取出,遍历这几个方面对ArrayBlockingQueue进行分析。

1. 创建

下面以ArrayBlockingQueue(int capacity, boolean fair)来进行说明。

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();
}

说明
(01) items是保存“阻塞队列”数据的数组。它的定义如下:

final Object[] items;

(02) fair是“可重入的独占锁(ReentrantLock)”的类型。fair为true,表示是公平锁;fair为false,表示是非公平锁。
notEmpty和notFull是锁的两个Condition条件。它们的定义如下:

final ReentrantLock lock;
private final Condition notEmpty;
private final Condition notFull;

简单对Condition和Lock的用法进行说明,更多内容请参考“Java多线程系列--“JUC锁”06之 Condition条件”。
Lock的作用是提供独占锁机制,来保护竞争资源;而Condition是为了更加精细的对锁进行控制,它依赖于Lock,通过某个条件对多线程进行控制。
notEmpty表示“锁的非空条件”。当某线程想从队列中取数据时,而此时又没有数据,则该线程通过notEmpty.await()进行等待;当其它线程向队列中插入了元素之后,就调用notEmpty.signal()唤醒“之前通过notEmpty.await()进入等待状态的线程”。
同理,notFull表示“锁的满条件”。当某线程想向队列中插入元素,而此时队列已满时,该线程等待;当其它线程从队列中取出元素之后,就唤醒该等待的线程。

2. 添加

下面以offer(E e)为例,对ArrayBlockingQueue的添加方法进行说明。

public boolean offer(E e) {
// 创建插入的元素是否为null,是的话抛出NullPointerException异常
checkNotNull(e);
// 获取“该阻塞队列的独占锁”
final ReentrantLock lock = this.lock;
lock.lock();
try {
// 如果队列已满,则返回false。
if (count == items.length)
return false;
else {
// 如果队列未满,则插入e,并返回true。
insert(e);
return true;
}
} finally {
// 释放锁
lock.unlock();
}
}

说明:offer(E e)的作用是将e插入阻塞队列的尾部。如果队列已满,则返回false,表示插入失败;否则,插入元素,并返回true。
(01) count表示”队列中的元素个数“。除此之外,队列中还有另外两个遍历takeIndex和putIndex。takeIndex表示下一个被取出元素的索引,putIndex表示下一个被添加元素的索引。它们的定义如下:

// 队列中的元素个数
int takeIndex;
// 下一个被取出元素的索引
int putIndex;
// 下一个被添加元素的索引
int count;

(02) insert()的源码如下

private void insert(E x) {
// 将x添加到”队列“中
items[putIndex] = x;
// 设置”下一个被取出元素的索引“
putIndex = inc(putIndex);
// 将”队列中的元素个数”+1
++count;
// 唤醒notEmpty上的等待线程
notEmpty.signal();
}

insert()在插入元素之后,会唤醒notEmpty上面的等待线程。

inc()的源码如下:

final int inc(int i) {
return (++i == items.length) ? 0 : i;
}

若i+1的值等于“队列的长度”,即添加元素之后,队列满;则设置“下一个被添加元素的索引”为0。

3. 取出

下面以take()为例,对ArrayBlockingQueue的取出方法进行说明。

public E take() throws InterruptedException {
// 获取“队列的独占锁”
final ReentrantLock lock = this.lock;
// 获取“锁”,若当前线程是中断状态,则抛出InterruptedException异常
lock.lockInterruptibly();
try {
// 若“队列为空”,则一直等待。
while (count == 0)
notEmpty.await();
// 取出元素
return extract();
} finally {
// 释放“锁”
lock.unlock();
}
}

说明:take()的作用是取出并返回队列的头。若队列为空,则一直等待。

extract()的源码如下:

private E extract() {
final Object[] items = this.items;
// 强制将元素转换为“泛型E”
E x = this.<E>cast(items[takeIndex]);
// 将第takeIndex元素设为null,即删除。同时,帮助GC回收。
items[takeIndex] = null;
// 设置“下一个被取出元素的索引”
takeIndex = inc(takeIndex);
// 将“队列中元素数量”-1
--count;
// 唤醒notFull上的等待线程。
notFull.signal();
return x;
}

说明:extract()在删除元素之后,会唤醒notFull上的等待线程。

4. 遍历

下面对ArrayBlockingQueue的遍历方法进行说明。

public Iterator<E> iterator() {
return new Itr();
}

Itr是实现了Iterator接口的类,它的源码如下:

private class Itr implements Iterator<E> {
// 队列中剩余元素的个数
private int remaining; // Number of elements yet to be returned
// 下一次调用next()返回的元素的索引
private int nextIndex; // Index of element to be returned by next
// 下一次调用next()返回的元素
private E nextItem; // Element to be returned by next call to next
// 上一次调用next()返回的元素
private E lastItem; // Element returned by last call to next
// 上一次调用next()返回的元素的索引
private int lastRet; // Index of last element returned, or -1 if none Itr() {
// 获取“阻塞队列”的锁
final ReentrantLock lock = ArrayBlockingQueue.this.lock;
lock.lock();
try {
lastRet = -1;
if ((remaining = count) > 0)
nextItem = itemAt(nextIndex = takeIndex);
} finally {
// 释放“锁”
lock.unlock();
}
} public boolean hasNext() {
return remaining > 0;
} public E next() {
// 获取“阻塞队列”的锁
final ReentrantLock lock = ArrayBlockingQueue.this.lock;
lock.lock();
try {
// 若“剩余元素<=0”,则抛出异常。
if (remaining <= 0)
throw new NoSuchElementException();
lastRet = nextIndex;
// 获取第nextIndex位置的元素
E x = itemAt(nextIndex); // check for fresher value
if (x == null) {
x = nextItem; // we are forced to report old value
lastItem = null; // but ensure remove fails
}
else
lastItem = x;
while (--remaining > 0 && // skip over nulls
(nextItem = itemAt(nextIndex = inc(nextIndex))) == null)
;
return x;
} finally {
lock.unlock();
}
} public void remove() {
final ReentrantLock lock = ArrayBlockingQueue.this.lock;
lock.lock();
try {
int i = lastRet;
if (i == -1)
throw new IllegalStateException();
lastRet = -1;
E x = lastItem;
lastItem = null;
// only remove if item still at index
if (x != null && x == items[i]) {
boolean removingHead = (i == takeIndex);
removeAt(i);
if (!removingHead)
nextIndex = dec(nextIndex);
}
} finally {
lock.unlock();
}
}
}

ArrayBlockingQueue示例

import java.util.*;
import java.util.concurrent.*; /*
* ArrayBlockingQueue是“线程安全”的队列,而LinkedList是非线程安全的。
*
* 下面是“多个线程同时操作并且遍历queue”的示例
* (01) 当queue是ArrayBlockingQueue对象时,程序能正常运行。
* (02) 当queue是LinkedList对象时,程序会产生ConcurrentModificationException异常。
*
* @author skywang
*/
public class ArrayBlockingQueueDemo1{ // TODO: queue是LinkedList对象时,程序会出错。
//private static Queue<String> queue = new LinkedList<String>();
private static Queue<String> queue = new ArrayBlockingQueue<String>(20);
public static void main(String[] args) { // 同时启动两个线程对queue进行操作!
new MyThread("ta").start();
new MyThread("tb").start();
} private static void printAll() {
String value;
Iterator iter = queue.iterator();
while(iter.hasNext()) {
value = (String)iter.next();
System.out.print(value+", ");
}
System.out.println();
} private static class MyThread extends Thread {
MyThread(String name) {
super(name);
}
@Override
public void run() {
int i = 0;
while (i++ < 6) {
// “线程名” + "-" + "序号"
String val = Thread.currentThread().getName()+i;
queue.add(val);
// 通过“Iterator”遍历queue。
printAll();
}
}
}
}

(某一次)运行结果

ta1, ta1,
tb1, ta1,
tb1, ta1, ta2,
tb1, ta1, ta2, tb1, tb2,
ta2, ta1, tb2, tb1, ta3,
ta2, ta1, tb2, tb1, ta3, ta2, tb3,
tb2, ta1, ta3, tb1, tb3, ta2, ta4,
tb2, ta1, ta3, tb1, tb3, ta2, ta4, tb2, tb4,
ta3, ta1, tb3, tb1, ta4, ta2, tb4, tb2, ta5,
ta3, ta1, tb3, tb1, ta4, ta2, tb4, tb2, ta5, ta3, tb5,
tb3, ta1, ta4, tb1, tb4, ta2, ta5, tb2, tb5, ta3, ta6,
tb3, ta4, tb4, ta5, tb5, ta6, tb6,

结果说明:如果将源码中的queue改成LinkedList对象时,程序会产生ConcurrentModificationException异常。


更多内容

1. Java多线程系列--“JUC集合”01之 框架

2. Java多线程系列目录(共xx篇) 

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