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概要
本章对Java.util.concurrent包中的ConcurrentHashMap类进行详细的介绍。内容包括：
ConcurrentLinkedQueue介绍
ConcurrentLinkedQueue原理和数据结构
ConcurrentLinkedQueue函数列表
ConcurrentLinkedQueue源码分析(JDK1.7.0_40版本)
ConcurrentLinkedQueue示例
转载请注明出处：Java多线程系列–“JUC集合”10之 ConcurrentLinkedQueue
ConcurrentLinkedQueue介绍
ConcurrentLinkedQueue是线程安全的队列，它适用于“高并发”的场景。
它是一个基于链接节点的无界线程安全队列，按照 FIFO（先进先出）原则对元素进行排序。队列元素中不可以放置null元素（内部实现的特殊节点除外）。
ConcurrentLinkedQueue原理和数据结构
ConcurrentLinkedQueue的数据结构，如下图所示：
说明：
1. ConcurrentLinkedQueue继承于AbstractQueue。
2. ConcurrentLinkedQueue内部是通过链表来实现的。它同时包含链表的头节点head和尾节点tail。ConcurrentLinkedQueue按照 FIFO（先进先出）原则对元素进行排序。元素都是从尾部插入到链表，从头部开始返回。
3. ConcurrentLinkedQueue的链表Node中的next的类型是volatile，而且链表数据item的类型也是volatile。关于volatile，我们知道它的语义包含：“即对一个volatile变量的读，总是能看到（任意线程）对这个volatile变量最后的写入”。ConcurrentLinkedQueue就是通过volatile来实现多线程对竞争资源的互斥访问的。
ConcurrentLinkedQueue函数列表
// 创建一个最初为空的 ConcurrentLinkedQueue。 ConcurrentLinkedQueue() // 创建一个最初包含给定 collection 元素的 ConcurrentLinkedQueue，按照此 collection 迭代器的遍历顺序来添加元素。 ConcurrentLinkedQueue(Collection<? extends E> c) // 将指定元素插入此队列的尾部。 boolean add(E e) // 如果此队列包含指定元素，则返回 true。 boolean contains(Object o) // 如果此队列不包含任何元素，则返回 true。 boolean isEmpty() // 返回在此队列元素上以恰当顺序进行迭代的迭代器。 Iterator<E> iterator() // 将指定元素插入此队列的尾部。 boolean offer(E e) // 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() // 从队列中移除指定元素的单个实例（如果存在）。 boolean remove(Object o) // 返回此队列中的元素数量。 int size() // 返回以恰当顺序包含此队列所有元素的数组。 Object[] toArray() // 返回以恰当顺序包含此队列所有元素的数组；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)
ConcurrentLinkedQueue源码分析(JDK1.7.0_40版本)
ConcurrentLinkedQueue的完整源码如下：
/*
* ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms.
*
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/*
*
*
*
*
*
* Written by Doug Lea and Martin Buchholz 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.AbstractQueue;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Iterator;
import java.util.NoSuchElementException;
import java.util.Queue;
/**
* An unbounded thread-safe {@linkplain Queue queue} based on linked nodes.
* 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.
* A {@code ConcurrentLinkedQueue} is an appropriate choice when
* many threads will share access to a common collection.
* Like most other concurrent collection implementations, this class
* does not permit the use of {@code null} elements.
*
* <p>This implementation employs an efficient "wait-free"
* algorithm based on one described in <a
* href="http://www.cs.rochester.edu/u/michael/PODC96.html"> Simple,
* Fast, and Practical Non-Blocking and Blocking Concurrent Queue
* Algorithms</a> by Maged M. Michael and Michael L. Scott.
*
* <p>Iterators are <i>weakly consistent</i>, returning elements
* reflecting the state of the queue at some point at or since the
* creation of the iterator. They do <em>not</em> throw {@link
* java.util.ConcurrentModificationException}, and may proceed concurrently
* with other operations. Elements contained in the queue since the creation
* of the iterator will be returned exactly once.
*
* <p>Beware that, unlike in most collections, the {@code size} method
* is <em>NOT</em> a constant-time operation. Because of the
* asynchronous nature of these queues, determining the current number
* of elements requires a traversal of the elements, and so may report
* inaccurate results if this collection is modified during traversal.
* Additionally, the bulk operations {@code addAll},
* {@code removeAll}, {@code retainAll}, {@code containsAll},
* {@code equals}, and {@code toArray} are <em>not</em> guaranteed
* to be performed atomically. For example, an iterator operating
* concurrently with an {@code addAll} operation might view only some
* of the added elements.
*
* <p>This class and its iterator implement all of the <em>optional</em>
* methods of the {@link Queue} and {@link Iterator} interfaces.
*
* <p>Memory consistency effects: As with other concurrent
* collections, actions in a thread prior to placing an object into a
* {@code ConcurrentLinkedQueue}
* <a href="package-summary.html#MemoryVisibility"><i>happen-before</i></a>
* actions subsequent to the access or removal of that element from
* the {@code ConcurrentLinkedQueue} in another thread.
*
* <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 ConcurrentLinkedQueue<E> extends AbstractQueue<E>
implements Queue<E>, java.io.Serializable {
private static final long serialVersionUID = 196745693267521676L;
/*
* This is a modification of the Michael & Scott algorithm,
* adapted for a garbage-collected environment, with support for
* interior node deletion (to support remove(Object)). For
* explanation, read the paper.
*
* Note that like most non-blocking algorithms in this package,
* this implementation relies on the fact that in garbage
* collected systems, there is no possibility of ABA problems due
* to recycled nodes, so there is no need to use "counted
* pointers" or related techniques seen in versions used in
* non-GC'ed settings.
*
* The fundamental invariants are:
* - There is exactly one (last) Node with a null next reference,
* which is CASed when enqueueing. This last Node can be
* reached in O(1) time from tail, but tail is merely an
* optimization - it can always be reached in O(N) time from
* head as well.
* - The elements contained in the queue are the non-null items in
* Nodes that are reachable from head. CASing the item
* reference of a Node to null atomically removes it from the
* queue. Reachability of all elements from head must remain
* true even in the case of concurrent modifications that cause
* head to advance. A dequeued Node may remain in use
* indefinitely due to creation of an Iterator or simply a
* poll() that has lost its time slice.
*
* The above might appear to imply that all Nodes are GC-reachable
* from a predecessor dequeued Node. That would cause two problems:
* - allow a rogue Iterator to cause unbounded memory retention
* - cause cross-generational linking of old Nodes to new Nodes if
* a Node was tenured while live, which generational GCs have a
* hard time dealing with, causing repeated major collections.
* However, only non-deleted Nodes need to be reachable from
* dequeued Nodes, and reachability does not necessarily have to
* be of the kind understood by the GC. We use the trick of
* linking a Node that has just been dequeued to itself. Such a
* self-link implicitly means to advance to head.
*
* Both head and tail are permitted to lag. In fact, failing to
* update them every time one could is a significant optimization
* (fewer CASes). As with LinkedTransferQueue (see the internal
* documentation for that class), we use a slack threshold of two;
* that is, we update head/tail when the current pointer appears
* to be two or more steps away from the first/last node.
*
* Since head and tail are updated concurrently and independently,
* it is possible for tail to lag behind head (why not)?
*
* CASing a Node's item reference to null atomically removes the
* element from the queue. Iterators skip over Nodes with null
* items. Prior implementations of this class had a race between
* poll() and remove(Object) where the same element would appear
* to be successfully removed by two concurrent operations. The
* method remove(Object) also lazily unlinks deleted Nodes, but
* this is merely an optimization.
*
* When constructing a Node (before enqueuing it) we avoid paying
* for a volatile write to item by using Unsafe.putObject instead
* of a normal write. This allows the cost of enqueue to be
* "one-and-a-half" CASes.
*
* Both head and tail may or may not point to a Node with a
* non-null item. If the queue is empty, all items must of course
* be null. Upon creation, both head and tail refer to a dummy
* Node with null item. Both head and tail are only updated using
* CAS, so they never regress, although again this is merely an
* optimization.
*/
private static class Node<E> {
volatile E item;
volatile Node<E> next;
/**
* Constructs a new node. Uses relaxed write because item can
* only be seen after publication via casNext.
*/
Node(E item) {
UNSAFE.putObject(this, itemOffset, item);
}
boolean casItem(E cmp, E val) {
return UNSAFE.compareAndSwapObject(this, itemOffset, cmp, val);
}
void lazySetNext(Node<E> val) {
UNSAFE.putOrderedObject(this, nextOffset, val);
}
boolean casNext(Node<E> cmp, Node<E> val) {
return UNSAFE.compareAndSwapObject(this, nextOffset, cmp, val);
}
// Unsafe mechanics
private static final sun.misc.Unsafe UNSAFE;
private static final long itemOffset;
private static final long nextOffset;
static {
try {
UNSAFE = sun.misc.Unsafe.getUnsafe();
Class k = Node.class;
itemOffset = UNSAFE.objectFieldOffset
(k.getDeclaredField("item"));
nextOffset = UNSAFE.objectFieldOffset
(k.getDeclaredField("next"));
} catch (Exception e) {
throw new Error(e);
}
}
}
/**
* A node from which the first live (non-deleted) node (if any)
* can be reached in O(1) time.
* Invariants:
* - all live nodes are reachable from head via succ()
* - head != null
* - (tmp = head).next != tmp || tmp != head
* Non-invariants:
* - head.item may or may not be null.
* - it is permitted for tail to lag behind head, that is, for tail
* to not be reachable from head!
*/
private transient volatile Node<E> head;
/**
* A node from which the last node on list (that is, the unique
* node with node.next == null) can be reached in O(1) time.
* Invariants:
* - the last node is always reachable from tail via succ()
* - tail != null
* Non-invariants:
* - tail.item may or may not be null.
* - it is permitted for tail to lag behind head, that is, for tail
* to not be reachable from head!
* - tail.next may or may not be self-pointing to tail.
*/
private transient volatile Node<E> tail;
/**
* Creates a {@code ConcurrentLinkedQueue} that is initially empty.
*/
public ConcurrentLinkedQueue() {
head = tail = new Node<E>(null);
}
/**
* Creates a {@code ConcurrentLinkedQueue}
* 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 ConcurrentLinkedQueue(Collection<? extends E> c) {
Node<E> h = null, t = null;
for (E e : c) {
checkNotNull(e);
Node<E> newNode = new Node<E>(e);
if (h == null)
h = t = newNode;
else {
t.lazySetNext(newNode);
t = newNode;
}
}
if (h == null)
h = t = new Node<E>(null);
head = h;
tail = t;
}
// Have to override just to update the javadoc
/**
* Inserts the specified element at the tail of this queue.
* As the queue is unbounded, this method will never throw
* {@link IllegalStateException} or return {@code false}.
*
* @return {@code true} (as specified by {@link Collection#add})
* @throws NullPointerException if the specified element is null
*/
public boolean add(E e) {
return offer(e);
}
/**
* Try to CAS head to p. If successful, repoint old head to itself
* as sentinel for succ(), below.
*/
final void updateHead(Node<E> h, Node<E> p) {
if (h != p && casHead(h, p))
h.lazySetNext(h);
}
/**
* Returns the successor of p, or the head node if p.next has been
* linked to self, which will only be true if traversing with a
* stale pointer that is now off the list.
*/
final Node<E> succ(Node<E> p) {
Node<E> next = p.next;
return (p == next) ? head : next;
}
/**
* Inserts the specified element at the tail of this queue.
* As the queue is unbounded, this method will never return {@code false}.
*
* @return {@code true} (as specified by {@link Queue#offer})
* @throws NullPointerException if the specified element is null
*/
public boolean offer(E e) {
checkNotNull(e);
final Node<E> newNode = new Node<E>(e);
for (Node<E> t = tail, p = t;;) {
Node<E> q = p.next;
if (q == null) {
// p is last node
if (p.casNext(null, newNode)) {
// Successful CAS is the linearization point
// for e to become an element of this queue,
// and for newNode to become "live".
if (p != t) // hop two nodes at a time
casTail(t, newNode); // Failure is OK.
return true;
}
// Lost CAS race to another thread; re-read next
}
else if (p == q)
// We have fallen off list. If tail is unchanged, it
// will also be off-list, in which case we need to
// jump to head, from which all live nodes are always
// reachable. Else the new tail is a better bet.
p = (t != (t = tail)) ? t : head;
else
// Check for tail updates after two hops.
p = (p != t && t != (t = tail)) ? t : q;
}
}
public E poll() {
restartFromHead:
for (;;) {
for (Node<E> h = head, p = h, q;;) {
E item = p.item;
if (item != null && p.casItem(item, null)) {
// Successful CAS is the linearization point
// for item to be removed from this queue.
if (p != h) // hop two nodes at a time
updateHead(h, ((q = p.next) != null) ? q : p);
return item;
}
else if ((q = p.next) == null) {
updateHead(h, p);
return null;
}
else if (p == q)
continue restartFromHead;
else
p = q;
}
}
}
public E peek() {
restartFromHead:
for (;;) {
for (Node<E> h = head, p = h, q;;) {
E item = p.item;
if (item != null || (q = p.next) == null) {
updateHead(h, p);
return item;
}
else if (p == q)
continue restartFromHead;
else
p = q;
}
}
}
/**
* Returns the first live (non-deleted) node on list, or null if none.
* This is yet another variant of poll/peek; here returning the
* first node, not element. We could make peek() a wrapper around
* first(), but that would cost an extra volatile read of item,
* and the need to add a retry loop to deal with the possibility
* of losing a race to a concurrent poll().
*/
Node<E> first() {
restartFromHead:
for (;;) {
for (Node<E> h = head, p = h, q;;) {
boolean hasItem = (p.item != null);
if (hasItem || (q = p.next) == null) {
updateHead(h, p);
return hasItem ? p : null;
}
else if (p == q)
continue restartFromHead;
else
p = q;
}
}
}
/**
* Returns {@code true} if this queue contains no elements.
*
* @return {@code true} if this queue contains no elements
*/
public boolean isEmpty() {
return first() == null;
}
/**
* Returns the number of elements in this queue. If this queue
* contains more than {@code Integer.MAX_VALUE} elements, returns
* {@code Integer.MAX_VALUE}.
*
* <p>Beware that, unlike in most collections, this method is
* <em>NOT</em> a constant-time operation. Because of the
* asynchronous nature of these queues, determining the current
* number of elements requires an O(n) traversal.
* Additionally, if elements are added or removed during execution
* of this method, the returned result may be inaccurate. Thus,
* this method is typically not very useful in concurrent
* applications.
*
* @return the number of elements in this queue
*/
public int size() {
int count = 0;
for (Node<E> p = first(); p != null; p = succ(p))
if (p.item != null)
// Collection.size() spec says to max out
if (++count == Integer.MAX_VALUE)
break;
return count;
}
/**
* 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;
for (Node<E> p = first(); p != null; p = succ(p)) {
E item = p.item;
if (item != null && o.equals(item))
return true;
}
return false;
}
/**
* 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) {
if (o == null) return false;
Node<E> pred = null;
for (Node<E> p = first(); p != null; p = succ(p)) {
E item = p.item;
if (item != null &&
o.equals(item) &&
p.casItem(item, null)) {
Node<E> next = succ(p);
if (pred != null && next != null)
pred.casNext(p, next);
return true;
}
pred = p;
}
return false;
}
/**
* Appends all of the elements in the specified collection to the end of
* this queue, in the order that they are returned by the specified
* collection's iterator. Attempts to {@code addAll} of a queue to
* itself result in {@code IllegalArgumentException}.
*
* @param c the elements to be inserted into this queue
* @return {@code true} if this queue changed as a result of the call
* @throws NullPointerException if the specified collection or any
* of its elements are null
* @throws IllegalArgumentException if the collection is this queue
*/
public boolean addAll(Collection<? extends E> c) {
if (c == this)
// As historically specified in AbstractQueue#addAll
throw new IllegalArgumentException();
// Copy c into a private chain of Nodes
Node<E> beginningOfTheEnd = null, last = null;
for (E e : c) {
checkNotNull(e);
Node<E> newNode = new Node<E>(e);
if (beginningOfTheEnd == null)
beginningOfTheEnd = last = newNode;
else {
last.lazySetNext(newNode);
last = newNode;
}
}
if (beginningOfTheEnd == null)
return false;
// Atomically append the chain at the tail of this collection
for (Node<E> t = tail, p = t;;) {
Node<E> q = p.next;
if (q == null) {
// p is last node
if (p.casNext(null, beginningOfTheEnd)) {
// Successful CAS is the linearization point
// for all elements to be added to this queue.
if (!casTail(t, last)) {
// Try a little harder to update tail,
// since we may be adding many elements.
t = tail;
if (last.next == null)
casTail(t, last);
}
return true;
}
// Lost CAS race to another thread; re-read next
}
else if (p == q)
// We have fallen off list. If tail is unchanged, it
// will also be off-list, in which case we need to
// jump to head, from which all live nodes are always
// reachable. Else the new tail is a better bet.
p = (t != (t = tail)) ? t : head;
else
// Check for tail updates after two hops.
p = (p != t && t != (t = tail)) ? t : q;
}
}
/**
* 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() {
// Use ArrayList to deal with resizing.
ArrayList<E> al = new ArrayList<E>();
for (Node<E> p = first(); p != null; p = succ(p)) {
E item = p.item;
if (item != null)
al.add(item);
}
return al.toArray();
}
/**
* 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) {
// try to use sent-in array
int k = 0;
Node<E> p;
for (p = first(); p != null && k < a.length; p = succ(p)) {
E item = p.item;
if (item != null)
a[k++] = (T)item;
}
if (p == null) {
if (k < a.length)
a[k] = null;
return a;
}
// If won't fit, use ArrayList version
ArrayList<E> al = new ArrayList<E>();
for (Node<E> q = first(); q != null; q = succ(q)) {
E item = q.item;
if (item != null)
al.add(item);
}
return al.toArray(a);
}
/**
* 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 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();
}
private class Itr implements Iterator<E> {
/**
* Next node to return item for.
*/
private Node<E> nextNode;
/**
* nextItem holds on to item fields because once we claim
* that an element exists in hasNext(), we must return it in
* the following next() call even if it was in the process of
* being removed when hasNext() was called.
*/
private E nextItem;
/**
* Node of the last returned item, to support remove.
*/
private Node<E> lastRet;
Itr() {
advance();
}
/**
* Moves to next valid node and returns item to return for
* next(), or null if no such.
*/
private E advance() {
lastRet = nextNode;
E x = nextItem;
Node<E> pred, p;
if (nextNode == null) {
p = first();
pred = null;
} else {
pred = nextNode;
p = succ(nextNode);
}
for (;;) {
if (p == null) {
nextNode = null;
nextItem = null;
return x;
}
E item = p.item;
if (item != null) {
nextNode = p;
nextItem = item;
return x;
} else {
// skip over nulls
Node<E> next = succ(p);
if (pred != null && next != null)
pred.casNext(p, next);
p = next;
}
}
}
public boolean hasNext() {
return nextNode != null;
}
public E next() {
if (nextNode == null) throw new NoSuchElementException();
return advance();
}
public void remove() {
Node<E> l = lastRet;
if (l == null) throw new IllegalStateException();
// rely on a future traversal to relink.
l.item = null;
lastRet = null;
}
}
/**
* Saves the state to a stream (that is, serializes it).
*
* @serialData All of the elements (each an {@code E}) in
* the proper order, followed by a null
* @param s the stream
*/
private void writeObject(java.io.ObjectOutputStream s)
throws java.io.IOException {
// Write out any hidden stuff
s.defaultWriteObject();
// Write out all elements in the proper order.
for (Node<E> p = first(); p != null; p = succ(p)) {
Object item = p.item;
if (item != null)
s.writeObject(item);
}
// Use trailing null as sentinel
s.writeObject(null);
}
/**
* Reconstitutes the instance from a stream (that is, deserializes it).
* @param s the stream
*/
private void readObject(java.io.ObjectInputStream s)
throws java.io.IOException, ClassNotFoundException {
s.defaultReadObject();
// Read in elements until trailing null sentinel found
Node<E> h = null, t = null;
Object item;
while ((item = s.readObject()) != null) {
@SuppressWarnings("unchecked")
Node<E> newNode = new Node<E>((E) item);
if (h == null)
h = t = newNode;
else {
t.lazySetNext(newNode);
t = newNode;
}
}
if (h == null)
h = t = new Node<E>(null);
head = h;
tail = t;
}
/**
* Throws NullPointerException if argument is null.
*
* @param v the element
*/
private static void checkNotNull(Object v) {
if (v == null)
throw new NullPointerException();
}
private boolean casTail(Node<E> cmp, Node<E> val) {
return UNSAFE.compareAndSwapObject(this, tailOffset, cmp, val);
}
private boolean casHead(Node<E> cmp, Node<E> val) {
return UNSAFE.compareAndSwapObject(this, headOffset, cmp, val);
}
// Unsafe mechanics
private static final sun.misc.Unsafe UNSAFE;
private static final long headOffset;
private static final long tailOffset;
static {
try {
UNSAFE = sun.misc.Unsafe.getUnsafe();
Class k = ConcurrentLinkedQueue.class;
headOffset = UNSAFE.objectFieldOffset
(k.getDeclaredField("head"));
tailOffset = UNSAFE.objectFieldOffset
(k.getDeclaredField("tail"));
} catch (Exception e) {
throw new Error(e);
}
}
}
下面从ConcurrentLinkedQueue的创建，添加，删除这几个方面对它进行分析。
1 创建
下面以ConcurrentLinkedQueue()来进行说明。
public ConcurrentLinkedQueue() {
head = tail = new Node<E>(null);
}
说明：在构造函数中，新建了一个“内容为null的节点”，并设置表头head和表尾tail的值为新节点。
head和tail的定义如下：
private transient volatile Node<E> head; private transient volatile Node<E> tail;
head和tail都是volatile类型，他们具有volatile赋予的含义：“即对一个volatile变量的读，总是能看到（任意线程）对这个volatile变量最后的写入”。
Node的声明如下：
private static class Node<E> {
volatile E item;
volatile Node<E> next;
Node(E item) {
UNSAFE.putObject(this, itemOffset, item);
}
boolean casItem(E cmp, E val) {
return UNSAFE.compareAndSwapObject(this, itemOffset, cmp, val);
}
void lazySetNext(Node<E> val) {
UNSAFE.putOrderedObject(this, nextOffset, val);
}
boolean casNext(Node<E> cmp, Node<E> val) {
return UNSAFE.compareAndSwapObject(this, nextOffset, cmp, val);
}
// Unsafe mechanics
private static final sun.misc.Unsafe UNSAFE;
private static final long itemOffset;
private static final long nextOffset;
static {
try {
UNSAFE = sun.misc.Unsafe.getUnsafe();
Class k = Node.class;
itemOffset = UNSAFE.objectFieldOffset
(k.getDeclaredField("item"));
nextOffset = UNSAFE.objectFieldOffset
(k.getDeclaredField("next"));
} catch (Exception e) {
throw new Error(e);
}
}
}
说明：
Node是个单向链表节点，next用于指向下一个Node，item用于存储数据。Node中操作节点数据的API，都是通过Unsafe机制的CAS函数实现的；例如casNext()是通过CAS函数“比较并设置节点的下一个节点”。
2. 添加
下面以add(E e)为例对ConcurrentLinkedQueue中的添加进行说明。
public boolean add(E e) {
return offer(e);
}
说明：add()实际上是调用的offer()来完成添加操作的。
offer()的源码如下：
public boolean offer(E e) {
// 检查e是不是null，是的话抛出NullPointerException异常。
checkNotNull(e);
// 创建新的节点
final Node<E> newNode = new Node<E>(e);
// 将“新的节点”添加到链表的末尾。
for (Node<E> t = tail, p = t;;) {
Node<E> q = p.next;
// 情况1：q为空
if (q == null) {
// CAS操作：如果“p的下一个节点为null”(即p为尾节点)，则设置p的下一个节点为newNode。
// 如果该CAS操作成功的话，则比较“p和t”(若p不等于t，则设置newNode为新的尾节点)，然后返回true。
// 如果该CAS操作失败，这意味着“其它线程对尾节点进行了修改”，则重新循环。
if (p.casNext(null, newNode)) {
if (p != t) // hop two nodes at a time
casTail(t, newNode); // Failure is OK.
return true;
}
}
// 情况2：p和q相等
else if (p == q)
p = (t != (t = tail)) ? t : head;
// 情况3：其它
else
p = (p != t && t != (t = tail)) ? t : q;
}
}
说明：offer(E e)的作用就是将元素e添加到链表的末尾。offer()比较的地方是理解for循环，下面区分3种情况对for进行分析。
情况1 — q为空。这意味着q是尾节点的下一个节点。此时，通过p.casNext(null, newNode)将“p的下一个节点设为newNode”，若设置成功的话，则比较“p和t”(若p不等于t，则设置newNode为新的尾节点)，然后返回true。否则的话(意味着“其它线程对尾节点进行了修改”)，什么也不做，继续进行for循环。
p.casNext(null, newNode)，是调用CAS对p进行操作。若“p的下一个节点等于null”，则设置“p的下一个节点等于newNode”；设置成功的话，返回true，失败的话返回false。
情况2 — p和q相等。这种情况什么时候会发生呢？通过“情况3”，我们知道，经过“情况3”的处理后，p的值可能等于q。
此时，若尾节点没有发生变化的话，那么，应该是头节点发生了变化，则设置p为头节点，然后重新遍历链表；否则(尾节点变化的话)，则设置p为尾节点。
情况3 — 其它。
我们将p = (p != t && t != (t = tail)) ? t : q;转换成如下代码。
if (p==t) {
p = q;
} else {
Node<E> tmp=t;
t = tail;
if (tmp==t) {
p=q;
} else {
p=t;
}
}
如果p和t相等，则设置p为q。否则的话，判断“尾节点是否发生变化”，没有变化的话，则设置p为q；否则，设置p为尾节点。
checkNotNull()的源码如下：
private static void checkNotNull(Object v) {
if (v == null)
throw new NullPointerException();
}
3. 删除
下面以poll()为例对ConcurrentLinkedQueue中的删除进行说明。
public E poll() {
// 设置“标记”
restartFromHead:
for (;;) {
for (Node<E> h = head, p = h, q;;) {
E item = p.item;
// 情况1
// 表头的数据不为null，并且“设置表头的数据为null”这个操作成功的话;
// 则比较“p和h”(若p!=h，即表头发生了变化，则更新表头，即设置表头为p)，然后返回原表头的item值。
if (item != null && p.casItem(item, null)) {
if (p != h) // hop two nodes at a time
updateHead(h, ((q = p.next) != null) ? q : p);
return item;
}
// 情况2
// 表头的下一个节点为null，即链表只有一个“内容为null的表头节点”。则更新表头为p，并返回null。
else if ((q = p.next) == null) {
updateHead(h, p);
return null;
}
// 情况3
// 这可能到由于“情况4”的发生导致p=q，在该情况下跳转到restartFromHead标记重新操作。
else if (p == q)
continue restartFromHead;
// 情况4
// 设置p为q
else
p = q;
}
}
}
说明：poll()的作用就是删除链表的表头节点，并返回被删节点对应的值。poll()的实现原理和offer()比较类似，下面根将or循环划分为4种情况进行分析。
情况1：“表头节点的数据”不为null，并且“设置表头节点的数据为null”这个操作成功。
p.casItem(item, null) — 调用CAS函数，比较“节点p的数据值”与item是否相等，是的话，设置节点p的数据值为null。
在情况1发生时，先比较“p和h”，若p!=h，即表头发生了变化，则调用updateHead()更新表头；然后返回删除节点的item值。
updateHead()的源码如下：
final void updateHead(Node<E> h, Node<E> p) {
if (h != p && casHead(h, p))
h.lazySetNext(h);
}
说明：updateHead()的最终目的是更新表头为p，并设置h的下一个节点为h本身。
casHead(h,p)是通过CAS函数设置表头，若表头等于h的话，则设置表头为p。
lazySetNext()的源码如下：
void lazySetNext(Node<E> val) {
UNSAFE.putOrderedObject(this, nextOffset, val);
}
putOrderedObject()函数，我们在前面一章“TODO”中介绍过。h.lazySetNext(h)的作用是通过CAS函数设置h的下一个节点为h自身，该设置可能会延迟执行。
情况2：如果表头的下一个节点为null，即链表只有一个“内容为null的表头节点”。
则调用updateHead(h, p)，将表头更新p；然后返回null。
情况3：p=q
在“情况4”的发生后，会导致p=q；此时，“情况3”就会发生。当“情况3”发生后，它会跳转到restartFromHead标记重新操作。
情况4：其它情况。
设置p=q。
ConcurrentLinkedQueue示例
1 import java.util.*;
2 import java.util.concurrent.*;
3
4 /*
5 * ConcurrentLinkedQueue是“线程安全”的队列，而LinkedList是非线程安全的。
6 *
7 * 下面是“多个线程同时操作并且遍历queue”的示例
8 * (01) 当queue是ConcurrentLinkedQueue对象时，程序能正常运行。
9 * (02) 当queue是LinkedList对象时，程序会产生ConcurrentModificationException异常。
10 *
11 * @author skywang
12 */
13 public class ConcurrentLinkedQueueDemo1 {
14
15 // TODO: queue是LinkedList对象时，程序会出错。
16 //private static Queue<String> queue = new LinkedList<String>();
17 private static Queue<String> queue = new ConcurrentLinkedQueue<String>();
18 public static void main(String[] args) {
19
20 // 同时启动两个线程对queue进行操作！
21 new MyThread("ta").start();
22 new MyThread("tb").start();
23 }
24
25 private static void printAll() {
26 String value;
27 Iterator iter = queue.iterator();
28 while(iter.hasNext()) {
29 value = (String)iter.next();
30 System.out.print(value+", ");
31 }
32 System.out.println();
33 }
34
35 private static class MyThread extends Thread {
36 MyThread(String name) {
37 super(name);
38 }
39 @Override
40 public void run() {
41 int i = 0;
42 while (i++ < 6) {
43 // “线程名” + "-" + "序号"
44 String val = Thread.currentThread().getName()+i;
45 queue.add(val);
46 // 通过“Iterator”遍历queue。
47 printAll();
48 }
49 }
50 }
51 }
(某一次)运行结果：
ta1, ta1, tb1, tb1, ta1, ta1, tb1, tb1, ta2, ta2, tb2, tb2, ta1, ta1, tb1, tb1, ta2, ta2, tb2, tb2, ta3, tb3, ta3, ta1, tb3, tb1, ta4, ta2, ta1, tb2, tb1, ta3, ta2, tb3, tb2, ta4, ta3, tb4, tb3, ta1, ta4, tb1, tb4, ta2, ta5, tb2, ta1, ta3, tb1, tb3, ta2, ta4, tb2, tb4, ta3, ta5, tb3, tb5, ta4, ta1, tb4, tb1, ta5, ta2, tb5, tb2, ta6, ta3, ta1, tb3, tb1, ta4, ta2, tb4, tb2, ta5, ta3, tb5, tb3, ta6, ta4, tb6, 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。
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