1、ReentrantReadWriterLock 基础
所谓读写锁，是对访问资源共享锁和排斥锁，一般的重入性语义为如果对资源加了写锁，其他线程无法再获得写锁与读锁，但是持有写锁的线程，可以对资源加读锁（锁降级）；如果一个线程对资源加了读锁，其他线程可以继续加读锁。
java.util.concurrent.locks中关于多写锁的接口：ReadWriteLock。
public interface ReadWriteLock {
/**
* Returns the lock used for reading.
*
* @return the lock used for reading.
*/
Lock readLock();
/**
* Returns the lock used for writing.
*
* @return the lock used for writing.
*/
Lock writeLock();
}
提一个问题，是否觉得 ReentrantReadWriteLock 会实现 Lock 接口吗？与 ReentrantLock 有什么关系？
答案是否定的，ReentrantReadWriterLock 通过两个内部类实现 Lock 接口，分别是 ReadLock,WriterLock 类。与 ReentrantLock一样，ReentrantReadWriterLock 同样使用自己的内部类Sync（继承AbstractQueuedSynchronizer）实现CLH算法。为了方便对读写锁获取机制的了解，先介绍一下Sync内部类中几个属性，采用了位运算：
/*
* Read vs write count extraction constants and functions.
* Lock state is logically divided into two unsigned shorts:
* The lower one representing the exclusive (writer) lock hold count,
* and the upper the shared (reader) hold count.
*/
static final int SHARED_SHIFT = 16;
static final int SHARED_UNIT = (1 << SHARED_SHIFT);
static final int MAX_COUNT = (1 << SHARED_SHIFT) - 1;
static final int EXCLUSIVE_MASK = (1 << SHARED_SHIFT) - 1;
/** Returns the number of shared holds represented in count */
static int sharedCount(int c) { return c >>> SHARED_SHIFT; }
/** Returns the number of exclusive holds represented in count */
static int exclusiveCount(int c) { return c & EXCLUSIVE_MASK; }
首先ReentrantReadWriterLock使用一个32位的int类型来表示锁被占用的线程数（ReentrantLock中的state）,用所以，采取的办法是，高16位用来表示读锁占有的线程数量，用低16位表示写锁被同一个线程申请的次数。
SHARED_SHIFT，表示读锁占用的位数，常量16
SHARED_UNIT， 增加一个读锁，按照上述设计，就相当于增加 SHARED_UNIT；
MAX_COUNT ，表示申请读锁最大的线程数量，为65535
EXCLUSIVE_MASK :表示计算写锁的具体值时，该值为 15个1,用 getState & EXCLUSIVE_MASK算出写锁的线程数，大于1表示重入。
static int sharedCount(int c) { return c >>> SHARED_SHIFT; }
static int exclusiveCount(int c) { return c & EXCLUSIVE_MASK; }
举例说明，比如，现在当前，申请读锁的线程数为13个，写锁一个，那state怎么表示？
上文说过，用一个32位的int类型的高16位表示读锁线程数，13的二进制为 1101,那state的二进制表示为
00000000 00001101 00000000 00000001，十进制数为 851969， 接下在具体获取锁时，需要根据这个 851968 这个值得出上文中的 13 与 1。要算成13，只需要将state 无符号向左移位16位置，得出00000000 00001101，就出13，根据851969要算成低16位置，只需要用该00000000 00001101 00000000 00000001 & 111111111111111（15位），就可以得出00000001,就是利用了1&1得1,1&0得0这个技巧。
移位元素，如果一个数值向左移(<)一位，在没越界（超过该类型表示的最大值）的情况下，想当于操作数 * 2
如果一个数值向右(>) 移动移位，在没有越界的情况下，想到于操作数 除以2。
然后再关注如下几个与线程本地变量相关的属性：
/**
* The number of reentrant read locks held by current thread.
* Initialized only in constructor and readObject.
* Removed whenever a thread's read hold count drops to 0.
*/
private transient ThreadLocalHoldCounter readHolds;
/**
* The hold count of the last thread to successfully acquire
* readLock. This saves ThreadLocal lookup in the common case
* where the next thread to release is the last one to
* acquire. This is non-volatile since it is just used
* as a heuristic, and would be great for threads to cache.
*
* <p>Can outlive the Thread for which it is caching the read
* hold count, but avoids garbage retention by not retaining a
* reference to the Thread.
*
* <p>Accessed via a benign data race; relies on the memory
* model's final field and out-of-thin-air guarantees.
*/
private transient HoldCounter cachedHoldCounter;
/**
* firstReader is the first thread to have acquired the read lock.
* firstReaderHoldCount is firstReader's hold count.
*
* <p>More precisely, firstReader is the unique thread that last
* changed the shared count from 0 to 1, and has not released the
* read lock since then; null if there is no such thread.
*
* <p>Cannot cause garbage retention unless the thread terminated
* without relinquishing its read locks, since tryReleaseShared
* sets it to null.
*
* <p>Accessed via a benign data race; relies on the memory
* model's out-of-thin-air guarantees for references.
*
* <p>This allows tracking of read holds for uncontended read
* locks to be very cheap.
*/
private transient Thread firstReader = null;
private transient int firstReaderHoldCount;
上述这4个变量，其实就是完成一件事情，将获取读锁的线程放入线程本地变量(ThreadLocal)，方便从整个上 下文，根据当前线程获取持有锁的次数信息。其实 firstReader,firstReaderHoldCount ,cachedHoldCounter 这三个变量就是为readHolds变量服务的，是一个优化手段，尽量减少直接使用readHolds.get方法的次数，firstReader与firstReadHoldCount保存第一个获取读锁的线程，也就是readHolds中并不会保存第一个获取读锁的线程；cachedHoldCounter 缓存的是最后一个获取线程的HolderCount信息，该变量主要是在如果当前线程多次获取读锁时，减少从readHolds中获取HoldCounter的次数。请结合如下代码理解上述观点：
if (r == 0) {
firstReader = current;
firstReaderHoldCount = 1;
} else if (firstReader == current) {
firstReaderHoldCount++;
} else {
HoldCounter rh = cachedHoldCounter;
if (rh == null || rh.tid != current.getId())
cachedHoldCounter = rh = readHolds.get();
else if (rh.count == 0)
readHolds.set(rh);
rh.count++;
}
2、ReentrantReadWriterLock源码分析
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2.1 ReadLock 源码分析
2.1.1 lock方法
/**
* Acquires the read lock.
*
* <p>Acquires the read lock if the write lock is not held by
* another thread and returns immediately.
*
* <p>If the write lock is held by another thread then
* the current thread becomes disabled for thread scheduling
* purposes and lies dormant until the read lock has been acquired.
*/
public void lock() {
sync.acquireShared(1);
}
sync.acquireShared方法存在于AbstractQueuedSynchronizer类中，
/**
* Acquires in shared mode, ignoring interrupts. Implemented by
* first invoking at least once {@link #tryAcquireShared},
* returning on success. Otherwise the thread is queued, possibly
* repeatedly blocking and unblocking, invoking {@link
* #tryAcquireShared} until success.
*
* @param arg the acquire argument. This value is conveyed to
* {@link #tryAcquireShared} but is otherwise uninterpreted
* and can represent anything you like.
*/
public final void acquireShared(int arg) {
if (tryAcquireShared(arg) < 0) //@1
doAcquireShared(arg); //@2
}
根据常识，具体获取锁的过程在子类中实现，果不其然，tryAcquireShared方法在ReentrantReadWriterLock的Sync类中实现
protected final int tryAcquireShared(int unused) {
/*
* Walkthrough:
* 1. If write lock held by another thread, fail.
* 2. Otherwise, this thread is eligible for
* lock wrt state, so ask if it should block
* because of queue policy. If not, try
* to grant by CASing state and updating count.
* Note that step does not check for reentrant
* acquires, which is postponed to full version
* to avoid having to check hold count in
* the more typical non-reentrant case.
* 3. If step 2 fails either because thread
* apparently not eligible or CAS fails or count
* saturated, chain to version with full retry loop.
*/
Thread current = Thread.currentThread(); //@1 start
int c = getState();
if (exclusiveCount(c) != 0 &&
getExclusiveOwnerThread() != current)
return -1; // @1 end
int r = sharedCount(c);
if (!readerShouldBlock() &&
r < MAX_COUNT &&
compareAndSetState(c, c + SHARED_UNIT)) { // @2
if (r == 0) { //@21
firstReader = current;
firstReaderHoldCount = 1;
} else if (firstReader == current) { //@22
firstReaderHoldCount++;
} else { // @23
HoldCounter rh = cachedHoldCounter;
if (rh == null || rh.tid != current.getId())
cachedHoldCounter = rh = readHolds.get();
else if (rh.count == 0)
readHolds.set(rh);
rh.count++;
}
return 1;
}
return fullTryAcquireShared(current); // @3
}
尝试获取共享锁代码解读：
@1 start--end ，如果有线程已经抢占了写锁，并且不是当前线程，则直接返回-1，通过排队获取锁。
@2,如果线程不需要阻塞，并且获取读锁的线程数没有超过最大值，并且使用 CAS更新共享锁线程数量成功的话；表示成获取读锁，然后进行内部变量的相关更新操作；先关注一下，成功获取读锁后，内部变量的更新操作：
@21,如果r=0, 表示，当前线程为第一个获取读锁的线程
@22,如果第一个获取读锁的对象为当前对象，将firstReaderHoldCount 加一
@23，成功获取锁后，如果不是第一个获取多锁的线程，将该线程持有锁的次数信息，放入线程本地变量中，方便在整个请求上下文（请求锁、释放锁等过程中）使用持有锁次数信息。
@3 在讲解代码@3之前，我们先重点分析@2处的第一个条件，是否需要阻塞方法：readerShouldBlock，在具体的子类中，现在查看的是NonfairSync中的方法：
final boolean readerShouldBlock() {
/* As a heuristic to avoid indefinite writer starvation,
* block if the thread that momentarily appears to be head
* of queue, if one exists, is a waiting writer. This is
* only a probabilistic effect since a new reader will not
* block if there is a waiting writer behind other enabled
* readers that have not yet drained from the queue.
*/
return apparentlyFirstQueuedIsExclusive(); //该方法，具体又是在 AbstractQueuedSynchronizer中
}
/**
* Returns {@code true} if the apparent first queued thread, if one
* exists, is waiting in exclusive mode. If this method returns
* {@code true}, and the current thread is attempting to acquire in
* shared mode (that is, this method is invoked from {@link
* #tryAcquireShared}) then it is guaranteed that the current thread
* is not the first queued thread. Used only as a heuristic in
* ReentrantReadWriteLock.
*/
final boolean apparentlyFirstQueuedIsExclusive() {
Node h, s;
return (h = head) != null &&
(s = h.next) != null &&
!s.isShared() &&
s.thread != null;
}
该方法如果头节点不为空，并头节点的下一个节点不为空，并且不是共享模式【独占模式，写锁】、并且线程不为空。则返回true,说明有当前申请读锁的线程占有写锁，并有其他写锁在申请。为什么要判断head节点的下一个节点不为空，或是thread不为空呢？因为第一个节点head节点是当前持有写锁的线程，也就是当前申请读锁的线程，这里，也就是锁降级的关键所在，如果占有的写锁不是当前线程，那线程申请读锁会直接失败。
现在继续回到@3，讲解如果第一次尝试获取读锁失败后，该如何处理。首先，进入该方法的条件如下：
没有写锁被占用时，尝试通过一次CAS去获取锁时，更新失败（说明有其他读锁在申请）。
当前线程占有写锁，并且没有有其他写锁在当前线程的下一个节点等待获取写锁。；其实如果是这种情况，除非当前线程占有锁的下个线程取消，否则进入fullTryAcquireShared方法也无法获取锁。
当前线程占有写锁，并且没有有其他写锁在当前线程的下一个节点等待获取写锁。；其实如果是这种情况，除非当前线程占有锁的下个线程取消，否则进入fullTryAcquireShared方法也无法获取锁。
/**
* Full version of acquire for reads, that handles CAS misses
* and reentrant reads not dealt with in tryAcquireShared.
*/
final int fullTryAcquireShared(Thread current) {
/*
* This code is in part redundant with that in
* tryAcquireShared but is simpler overall by not
* complicating tryAcquireShared with interactions between
* retries and lazily reading hold counts.
*/
HoldCounter rh = null;
for (;;) {
int c = getState();
if (exclusiveCount(c) != 0) { //@31
if (getExclusiveOwnerThread() != current)
return -1;
// else we hold the exclusive lock; blocking here
// would cause deadlock.
} else if (readerShouldBlock()) { //@32
// Make sure we're not acquiring read lock reentrantly
if (firstReader == current) { //@33
// assert firstReaderHoldCount > 0;
} else { //@34
if (rh == null) {
rh = cachedHoldCounter;
if (rh == null || rh.tid != current.getId()) {
rh = readHolds.get();
if (rh.count == 0)
readHolds.remove();
}
}
if (rh.count == 0)
return -1;
}
}
if (sharedCount(c) == MAX_COUNT)
throw new Error("Maximum lock count exceeded");
if (compareAndSetState(c, c + SHARED_UNIT)) { // @35
if (sharedCount(c) == 0) {
firstReader = current;
firstReaderHoldCount = 1;
} else if (firstReader == current) {
firstReaderHoldCount++;
} else {
if (rh == null)
rh = cachedHoldCounter;
if (rh == null || rh.tid != current.getId())
rh = readHolds.get();
else if (rh.count == 0)
readHolds.set(rh);
rh.count++;
cachedHoldCounter = rh; // cache for release
}
return 1;
}
}
}
代码@31,首先再次判断，如果当前线程不是写锁的持有者，直接返回-1，结束尝试获取读锁，需要排队去申请读锁。
代码@32，如果需要阻塞，说明除了当前线程持有写锁外，还有其他线程已经排队在申请写锁，故，即使申请读锁的线程已经持有写锁（写锁内部再次申请读锁，俗称锁降级）还是会失败，因为有其他线程也在申请写锁，此时，只能结束本次申请读锁的请求，转而去排队，否则，将造成死锁。代码@34，就是从readHolds中移除当前线程的持有数，然后返回-1，结束尝试获取锁步骤（结束tryAcquireShared 方法）然后去排队获取。
代码@33，因为，如果当前线程是第一个获取了写锁，那其他线程无法申请写锁（该部分在分析完，读写锁的队列机制后，才回来做更详细的解答。）
代码@35,表示成功获取读锁，后续就是更新readHolds等内部变量，该部分在上文中已有讲解。如果是通过@35尝试获取锁成功，这就是写锁内部--》再次申请读锁（锁降级）的原理。
至此，完成尝试获取锁步骤 tryAcquireShared 方法，我们再次回到 acquireShared，如果返回-1,那么需要排队申请,具体请看 doAcquireShared(arg);
public final void acquireShared(int arg) {
if (tryAcquireShared(arg) < 0) //@1
doAcquireShared(arg); //@2
}
/**
* Acquires in shared uninterruptible mode.
* @param arg the acquire argument
*/
private void doAcquireShared(int arg) {
final Node node = addWaiter(Node.SHARED); //@1
boolean failed = true;
try {
boolean interrupted = false;
for (;;) { // @2,开始自旋重试
final Node p = node.predecessor(); // @3
if (p == head) { // @4
int r = tryAcquireShared(arg);
if (r >= 0) {
setHeadAndPropagate(node, r); //@5
p.next = null; // help GC
if (interrupted)
selfInterrupt();
failed = false;
return;
}
}
if (shouldParkAfterFailedAcquire(p, node) &&
parkAndCheckInterrupt()) // @6
interrupted = true;
}
} finally {
if (failed)
cancelAcquire(node);
}
}
获取共享锁解读：
代码@1，在队列尾部增加一个节点。锁模式为共享模式。
代码@3，获取该节点的前置节点。
代码@4，如果该节点的前置节点为head(头部)，为什么前置节点是head时，可以再次尝试呢？在讲解ReentrantLock时，也讲过，head节点的初始化在第一次产生锁争用时初始化，刚开始初始化的head节点是不代表线程的，故可以尝试获取锁。如果获取失败，则将进入到shouldParkAfterFailedAcquire和parkAndCheckInterrupt方法中，线程阻塞，等待被唤醒。
重点分析一下获取锁后的操作：setHeadAndPropagate
/**
* Sets head of queue, and checks if successor may be waiting
* in shared mode, if so propagating if either propagate > 0 or
* PROPAGATE status was set.
*
* @param node the node
* @param propagate the return value from a tryAcquireShared
*/
private void setHeadAndPropagate(Node node, int propagate) {
Node h = head; // Record old head for check below
setHead(node);
/*
* Try to signal next queued node if:
* Propagation was indicated by caller,
* or was recorded (as h.waitStatus) by a previous operation
* (note: this uses sign-check of waitStatus because
* PROPAGATE status may transition to SIGNAL.)
* and
* The next node is waiting in shared mode,
* or we don't know, because it appears null
*
* The conservatism in both of these checks may cause
* unnecessary wake-ups, but only when there are multiple
* racing acquires/releases, so most need signals now or soon
* anyway.
*/
if (propagate > 0 || h == null || h.waitStatus < 0) { // @1
Node s = node.next;
if (s == null || s.isShared()) // @2
doReleaseShared(); //@3
}
}
/**
* Sets head of queue to be node, thus dequeuing. Called only by
* acquire methods. Also nulls out unused fields for sake of GC
* and to suppress unnecessary signals and traversals.
*
* @param node the node
*/
private void setHead(Node node) {
head = node;
node.thread = null;
node.prev = null;
}
/**
* Release action for shared mode -- signal successor and ensure
* propagation. (Note: For exclusive mode, release just amounts
* to calling unparkSuccessor of head if it needs signal.)
*/
private void doReleaseShared() {
/*
* Ensure that a release propagates, even if there are other
* in-progress acquires/releases. This proceeds in the usual
* way of trying to unparkSuccessor of head if it needs
* signal. But if it does not, status is set to PROPAGATE to
* ensure that upon release, propagation continues.
* Additionally, we must loop in case a new node is added
* while we are doing this. Also, unlike other uses of
* unparkSuccessor, we need to know if CAS to reset status
* fails, if so rechecking.
*/
for (;;) {
Node h = head;
if (h != null && h != tail) { //@4
int ws = h.waitStatus;
if (ws == Node.SIGNAL) { //@5
if (!compareAndSetWaitStatus(h, Node.SIGNAL, 0))
continue; // loop to recheck cases
unparkSuccessor(h);
}
else if (ws == 0 &&
!compareAndSetWaitStatus(h, 0, Node.PROPAGATE)) //@6
continue; // loop on failed CAS
}
if (h == head) // loop if head changed //@7
break;
}
}
释放共享锁的步骤：
代码@1,如果读锁（共享锁）获取成功，或头部节点为空，或头节点取消，或刚获取读锁的线程的下一个节点为空，或在节点的下个节点也在申请读锁，则在CLH队列中传播下去唤醒线程，怎么理解这个传播呢，就是只要获取成功到读锁，那就要传播到下一个节点（如果一下个节点继续是读锁的申请，只要成功获取，就再下一个节点，直到队列尾部或为写锁的申请，停止传播）。具体请看doReleaseShared方法。
代码@4，从队列的头部开始遍历每一个节点。
代码@5，如果节点状态为 Node.SIGNAL,将状态设置为0，设置成功，唤醒线程。为什么会设置不成功，可能改节点被取消；还有一种情况就是有多个线程在运行该代码段，这就是PROPAGATE的含义吧，传播，请看代码@7的理解。
代码@6，如果状态为0，则设置为Node.PROPAGATE，设置为传播，该值然后会在什么时候变化呢？在判断该节点的下一个节点是否需要阻塞时，会判断，如果状态不是Node.SIGNAL或取消状态，为了保险起见，会将前置节点状态设置为Node.SIGNAL，然后再次判断，是否需要阻塞。
代码@7，如果处理过一次 unparkSuccessor 方法后，头节点没有发生变化，就退出该方法，那head在什么时候会改变呢？当然在是抢占锁成功的时候，head节点代表获取锁的节点。一旦获取锁成功，则又会进入setHeadAndPropagate方法，当然又会触发doReleaseShared方法，传播特性应该就是表现在这里吧。再想一下，同一时间，可以有多个多线程占有锁，那在锁释放时，写锁的释放比较简单，就是从头部节点下的第一个非取消节点，唤醒线程即可，为了在释放读锁的上下文环境中获取代表读锁的线程，将信息存入在 readHolds ThreadLocal变量中。
到这里为止，读锁的申请就讲解完毕了，先给出如下流程图：
尝试获取读锁过程
从队列中获取读锁的流程如下：
2.1.2 ReadLock 的 unlock方法详解
public void unlock() {
sync.releaseShared(1);
}
//AbstractQueuedSynchronizer的 realseShared方法
public final boolean releaseShared(int arg) {
if (tryReleaseShared(arg)) {
doReleaseShared();
return true;
}
return false;
}
// ReentrantReadWriterLock.Sync tryReleaseShared
protected final boolean tryReleaseShared(int unused) {
Thread current = Thread.currentThread();
if (firstReader == current) { // @1 start
// assert firstReaderHoldCount > 0;
if (firstReaderHoldCount == 1)
firstReader = null;
else
firstReaderHoldCount--;
} else {
HoldCounter rh = cachedHoldCounter;
if (rh == null || rh.tid != current.getId())
rh = readHolds.get();
int count = rh.count;
if (count <= 1) {
readHolds.remove();
if (count <= 0)
throw unmatchedUnlockException();
}
--rh.count; // @1 end
}
for (;;) { // @2
int c = getState();
int nextc = c - SHARED_UNIT;
if (compareAndSetState(c, nextc))
// Releasing the read lock has no effect on readers,
// but it may allow waiting writers to proceed if
// both read and write locks are now free.
return nextc == 0;
}
}
AbstractQueuedSynchronizer的doReleaseShared
/**
* Release action for shared mode -- signal successor and ensure
* propagation. (Note: For exclusive mode, release just amounts
* to calling unparkSuccessor of head if it needs signal.)
*/
private void doReleaseShared() {
/*
* Ensure that a release propagates, even if there are other
* in-progress acquires/releases. This proceeds in the usual
* way of trying to unparkSuccessor of head if it needs
* signal. But if it does not, status is set to PROPAGATE to
* ensure that upon release, propagation continues.
* Additionally, we must loop in case a new node is added
* while we are doing this. Also, unlike other uses of
* unparkSuccessor, we need to know if CAS to reset status
* fails, if so rechecking.
*/
for (;;) {
Node h = head;
if (h != null && h != tail) {
int ws = h.waitStatus;
if (ws == Node.SIGNAL) {
if (!compareAndSetWaitStatus(h, Node.SIGNAL, 0))
continue; // loop to recheck cases
unparkSuccessor(h);
}
else if (ws == 0 &&
!compareAndSetWaitStatus(h, 0, Node.PROPAGATE))
continue; // loop on failed CAS
}
if (h == head) // loop if head changed
break;
}
}
锁的释放，比较简单，代码@1，主要是将当前线程所持有的锁的数量信息得到（从firstReader或cachedHoldCounter，或readHolds中获取 ），然后将数量减少1,如果持有数为1，则直接将该线程变量从readHolds ThreadLocal变量中移除，避免垃圾堆积。
代码@2，就是在无限循环中将共享锁的数量减少一，在释放锁阶段，只有当所有的读锁，写锁被占有，才会去执行doReleaseShared 方法。
2.2 WriterLock 源码分析
2.2.1 lock方法详解
public void lock() {
sync.acquire(1);
}
public final void acquire(int arg) {
if (!tryAcquire(arg) &&
acquireQueued(addWaiter(Node.EXCLUSIVE), arg))
selfInterrupt();
}
对上述代码是不是似曾相识，对了，在学习ReentrantLock时候，看到的一样，acquire是在AbstractQueuedSynchronizer中，关键是在 tryAcquire方法，是在不同的子类中实现的。那我们将目光移到ReentrantReadWriterLock.Sync中
protected final boolean tryAcquire(int acquires) {
/*
* Walkthrough:
* 1. If read count nonzero or write count nonzero
* and owner is a different thread, fail.
* 2. If count would saturate, fail. (This can only
* happen if count is already nonzero.)
* 3. Otherwise, this thread is eligible for lock if
* it is either a reentrant acquire or
* queue policy allows it. If so, update state
* and set owner.
*/
Thread current = Thread.currentThread();
int c = getState();
int w = exclusiveCount(c);
if (c != 0) { // @1
// (Note: if c != 0 and w == 0 then shared count != 0)
if (w == 0 || current != getExclusiveOwnerThread()) //@2
return false;
if (w + exclusiveCount(acquires) > MAX_COUNT)
throw new Error("Maximum lock count exceeded");
// Reentrant acquire
setState(c + acquires); //@3
return true;
}
if (writerShouldBlock() ||
!compareAndSetState(c, c + acquires)) //@4
return false;
setExclusiveOwnerThread(current); //@5
return true;
}
代码@1,如果锁的state不为0，说明有写锁，或读锁，或两种锁持有。
代码@2，如果写锁为0，再加上c!=0，说明此时有读锁，自然返回false，表示只能排队去获取写锁；如果写锁不为0，如果持有写锁的线程不为当前线程，自然返回false,排队去获取写锁。
代码@3，表示，当前线程持有写锁，现在是重入，所以只需要修改锁的额数量即可。
代码@4，表示，表示通过一次CAS去获取锁的时候失败，说明被别的线程抢去了，也返回false,排队去重试获取锁。
代码@5，成获取写锁后，将当前线程设置为占有写锁的线程。尝试获取锁方法结束。如果该方法返回false,则进入到acquireQueue方法去排队获取写锁，写锁的获取过程，与ReentrantLock获取方法一样，就不过多的解读了。
读写锁的实现原理就分析到这了，走过路过的朋友，欢迎拍砖讨论。
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