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Donald_Draper:
Donald_Draper 写道刘落落cici 写道能给我发一 ...
DatagramChannelImpl 解析三(多播) -
Donald_Draper:
刘落落cici 写道能给我发一份这个类的源码吗Datagram ...
DatagramChannelImpl 解析三(多播) -
lyfyouyun:
请问楼主,执行消息发送的时候,报错:Transport sch ...
ActiveMQ连接工厂、连接详解 -
ezlhq:
关于 PollArrayWrapper 状态含义猜测:参考 S ...
WindowsSelectorImpl解析一(FdMap,PollArrayWrapper) -
flyfeifei66:
打算使用xmemcache作为memcache的客户端,由于x ...
Memcached分布式客户端(Xmemcached)
AtomicInteger解析:http://donald-draper.iteye.com/blog/2359555
锁持有者管理器AbstractOwnableSynchronizer:http://donald-draper.iteye.com/blog/2360109
AQS线程挂起辅助类LockSupport:http://donald-draper.iteye.com/blog/2360206
AQS详解-CLH队列,线程等待状态:http://donald-draper.iteye.com/blog/2360256
AQS-Condition详解:http://donald-draper.iteye.com/blog/2360381
可重入锁ReentrantLock详解:http://donald-draper.iteye.com/blog/2360411
CountDownLatch详解:http://donald-draper.iteye.com/blog/2360597
CyclicBarrier详解:http://donald-draper.iteye.com/blog/2360812
Semaphore详解:http://donald-draper.iteye.com/blog/2361033
由于ReentrantReadWriteLock的内容较多,今天我们先讲到这,后面再讲其余部分,先来总结一下先;
总结:
Sync是ReentrantReadWriteLock实现读写锁的基础,Sync是基于AQS的实现,
内部有一个各读锁计数器(ThreadLocal),每个线程拥有自己的读写计数器,存储着线程持有读锁的数量。同时有一个缓存计数器,用于记录当前线程拥有的读锁数量。有一个firstReader用于记录第一个获取读锁的线程,firstReaderHoldCount记录第一个获取读锁线程的持有锁数量。SYNC将锁的状态int state分成两部分,分为高16位和低16位,高位表示共享读锁,低位是独占写锁;所以读锁和写锁的最大持有量为65535。线程只有在没有线程持有读锁且写锁状态为打开,即state为打开状态,或当前线程持有写锁的数量小于65535的情况下,获取写锁成功,否则失败。线程只有在其他线程没有持有写锁,且读锁的持有数量未达到65535,或当前线程持有写锁且没有读锁的持有数量未达到65535(即锁降级),则当前线程获取读锁成功,否则自旋等待。
ReentrantReadWriteLock详解后续:http://donald-draper.iteye.com/blog/2361528
锁持有者管理器AbstractOwnableSynchronizer:http://donald-draper.iteye.com/blog/2360109
AQS线程挂起辅助类LockSupport:http://donald-draper.iteye.com/blog/2360206
AQS详解-CLH队列,线程等待状态:http://donald-draper.iteye.com/blog/2360256
AQS-Condition详解:http://donald-draper.iteye.com/blog/2360381
可重入锁ReentrantLock详解:http://donald-draper.iteye.com/blog/2360411
CountDownLatch详解:http://donald-draper.iteye.com/blog/2360597
CyclicBarrier详解:http://donald-draper.iteye.com/blog/2360812
Semaphore详解:http://donald-draper.iteye.com/blog/2361033
/* * 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.locks; import java.util.concurrent.*; import java.util.concurrent.atomic.*; import java.util.*; /** * An implementation of {@link ReadWriteLock} supporting similar * semantics to {@link ReentrantLock}. * <p>This class has the following properties: *ReadWriteLock与ReentrantLock有着相似的性质 * [list] * <li><b>Acquisition order</b> * * <p> This class does not impose a reader or writer preference * ordering for lock access. However, it does support an optional * [i]fairness[/i] policy. * ReadWriteLock不强调读写锁获取的顺序,但支持公平策略选型。 * <dl> * <dt><b><i>Non-fair mode (default)</i></b> * <dd>When constructed as non-fair (the default), the order of entry * to the read and write lock is unspecified, subject to reentrancy * constraints. A nonfair lock that is continuously contended may * indefinitely postpone one or more reader or writer threads, but * will normally have higher throughput than a fair lock. * <p> * ReadWriteLock默认情况下,是非公平锁,线程获取读写锁的顺序是不确定的,主要是 根据可重入策略。非公平锁,会持续的竞争锁,也许会推迟其他线程获取读写锁,但是 ,非公平策略的吞度量比公平锁要高。 * <dt><b><i>Fair mode</i></b> * <dd> When constructed as fair, threads contend for entry using an * approximately arrival-order policy. When the currently held lock * is released either the longest-waiting single writer thread will * be assigned the write lock, or if there is a group of reader threads * waiting longer than all waiting writer threads, that group will be * assigned the read lock. * 公平模式下,线程获取锁的策略,近似先到先得的策略。如果锁持有者释放锁,等待最长的 写线程将会获取写锁,若果所有读线程等待的时间大于写线程,读线程组将会获取读锁。 * <p>A thread that tries to acquire a fair read lock (non-reentrantly) * will block if either the write lock is held, or there is a waiting * writer thread. The thread will not acquire the read lock until * after the oldest currently waiting writer thread has acquired and * released the write lock. Of course, if a waiting writer abandons * its wait, leaving one or more reader threads as the longest waiters * in the queue with the write lock free, then those readers will be * assigned the read lock. * 当一个线程尝试获取一个非重入的读锁,如果其他线程持有写锁,或有线程等待写锁, 将会阻塞。直到等待最久的写线程获取写锁,并释放,等待非重入读锁的线程才能获取锁。 当一个等待写线程取消等待,同时又一个或多个线程读线程等待读锁,写锁释放,那么这些 读线程将获取读锁。 * <p>A thread that tries to acquire a fair write lock (non-reentrantly) * will block unless both the read lock and write lock are free (which * implies there are no waiting threads). (Note that the non-blocking * {@link ReadLock#tryLock()} and {@link WriteLock#tryLock()} methods * do not honor this fair setting and will acquire the lock if it is * possible, regardless of waiting threads.) * <p> * </dl> *当一个线程尝试获取非重入的写锁时,除非写锁和读锁都没有线程在等待, 否则将会阻塞。非阻塞的读锁和写锁尝试获取锁的时候,并不是完全公平, 如果可能,将忽略等待线程,获取锁。 * <li><b>Reentrancy</b> * * <p>This lock allows both readers and writers to reacquire read or * write locks in the style of a {@link ReentrantLock}. Non-reentrant * readers are not allowed until all write locks held by the writing * thread have been released. 如果锁是可重入的, ReadWriteLock允许读写线程重复获取锁。非重入锁的情况下, 读线程是不允许重复获取锁,直到所有持有写锁的线程,都释放写锁时。 * * <p>Additionally, a writer can acquire the read lock, but not * vice-versa. Among other applications, reentrancy can be useful * when write locks are held during calls or callbacks to methods that * perform reads under read locks. If a reader tries to acquire the * write lock it will never succeed. * 另外,一个写线程获取锁后,允许获取读锁,反之,则不行。在一些应用中,可重入策略 是非常有用的,比如当线程持有写锁时,调用方法或回调方法执行读操作。一个读线程尝试获取 写锁时,绝不不会成功滴。 * <li><b>Lock downgrading</b> * <p>Reentrancy also allows downgrading from the write lock to a read lock, * by acquiring the write lock, then the read lock and then releasing the * write lock. However, upgrading from a read lock to the write lock is * <b>not</b> possible. * 锁降级,可重入策略下,通过一个线程在获取写锁的情况,获取读锁,然后释放写锁的方式, 允许线程从写锁降级到读锁。然而一个读锁升级到写锁是不可能发生的。 * <li><b>Interruption of lock acquisition</b> * <p>The read lock and write lock both support interruption during lock * acquisition. *在获取锁的过程中,写锁和读锁都支持中断。 * <li><b>{@link Condition} support</b> * <p>The write lock provides a {@link Condition} implementation that * behaves in the same way, with respect to the write lock, as the * {@link Condition} implementation provided by * {@link ReentrantLock#newCondition} does for {@link ReentrantLock}. * This {@link Condition} can, of course, only be used with the write lock. * 条件支持,写锁通过ReentrantLock的newCondition提供了一个条件与写锁的功能相同, 这个条件只能用于写锁。 * <p>The read lock does not support a {@link Condition} and * {@code readLock().newCondition()} throws * {@code UnsupportedOperationException}. * 写锁不支持条件,当调用readLock().newCondition()时,将抛出UnsupportedOperationException。 * <li><b>Instrumentation</b> * <p>This class supports methods to determine whether locks * are held or contended. These methods are designed for monitoring * system state, not for synchronization control. * [/list] * ReentrantReadWriteLock提供了一些方法,用于判断哪个线程持有锁和竞争锁。 这些方法主要是为了监控锁的系统状态,而不是为了同步控制。 * <p>Serialization of this class behaves in the same way as built-in * locks: a deserialized lock is in the unlocked state, regardless of * its state when serialized. * ReentrantReadWriteLock的序列化与locks相同,当反序列化时,锁处于打开状态, 而当序列化时,则忽略锁的状态。 * <p><b>Sample usages</b>. Here is a code sketch showing how to perform * lock downgrading after updating a cache (exception handling is * particularly tricky when handling multiple locks in a non-nested * fashion): *下面是一个实例用于展示,在更新缓存时,如何从一个写锁降级为读锁( 如果锁是一个非重入的模式,则抛出异常) * <pre> {@code * class CachedData { * Object data; * volatile boolean cacheValid;//缓冲是否有效 * final ReentrantReadWriteLock rwl = new ReentrantReadWriteLock(); * * void processCachedData() { * rwl.readLock().lock(); * if (!cacheValid) { //如果缓存无效,则先释放读锁,再获取写锁 * // Must release read lock before acquiring write lock * rwl.readLock().unlock(); * rwl.writeLock().lock(); * try { //重新检查缓存是否有效,因为其他的线程也许会获取写锁,改变缓存状态 * // Recheck state because another thread might have * // acquired write lock and changed state before we did. * if (!cacheValid) { * data = ... * cacheValid = true; * } * // Downgrade by acquiring read lock before releasing write lock //在释放写锁前,获取读锁 * rwl.readLock().lock(); * } finally { * rwl.writeLock().unlock(); // Unlock write, still hold read * } * } * * try { * use(data); * } finally { * rwl.readLock().unlock(); * } * } * }}</pre> * * ReentrantReadWriteLocks can be used to improve concurrency in some * uses of some kinds of Collections. This is typically worthwhile * only when the collections are expected to be large, accessed by * more reader threads than writer threads, and entail operations with * overhead that outweighs synchronization overhead. For example, here * is a class using a TreeMap that is expected to be large and * concurrently accessed. * ReentrantReadWriteLocks被用于改善一些集合类的并发。当一个集合类的读操作量较大, 而写操作较少时,ReentrantReadWriteLocks是非常值得用的。这里是一个TreeMap,需要 大量的并发访问。 * <pre>{@code * class RWDictionary { * private final Map<String, Data> m = new TreeMap<String, Data>(); * private final ReentrantReadWriteLock rwl = new ReentrantReadWriteLock(); * private final Lock r = rwl.readLock(); * private final Lock w = rwl.writeLock(); * * public Data get(String key) { * r.lock(); * try { return m.get(key); } * finally { r.unlock(); } * } * public String[] allKeys() { * r.lock(); * try { return m.keySet().toArray(); } * finally { r.unlock(); } * } * public Data put(String key, Data value) { * w.lock(); * try { return m.put(key, value); } * finally { w.unlock(); } * } * public void clear() { * w.lock(); * try { m.clear(); } * finally { w.unlock(); } * } * }}</pre> * * <h3>Implementation Notes</h3> * * <p>This lock supports a maximum of 65535 recursive write locks * and 65535 read locks. Attempts to exceed these limits result in * {@link Error} throws from locking methods. * 这个锁支持一个线程在持有读锁和写锁的情况下,可连续获取读锁和写锁的次数为 65535=2^16-1。当尝试获取锁的超过这个限制,获取锁方法将抛出错误。 * @since 1.5 * @author Doug Lea * */ public class ReentrantReadWriteLock implements ReadWriteLock, java.io.Serializable { private static final long serialVersionUID = -6992448646407690164L; /** Inner class providing readlock 读锁内部类 */ private final ReentrantReadWriteLock.ReadLock readerLock; /** Inner class providing writelock 写锁内部类*/ private final ReentrantReadWriteLock.WriteLock writerLock; /** Performs all synchronization mechanics 实现读写锁机制的同步器*/ final Sync sync; /** * Creates a new {@code ReentrantReadWriteLock} with * default (nonfair) ordering properties. */ public ReentrantReadWriteLock() { //默认创建的是非公平锁 this(false); } /** * Creates a new {@code ReentrantReadWriteLock} with * the given fairness policy. *带公平性参数的构造 * @param fair {@code true} if this lock should use a fair ordering policy */ public ReentrantReadWriteLock(boolean fair) { sync = fair ? new FairSync() : new NonfairSync(); readerLock = new ReadLock(this); writerLock = new WriteLock(this); } //获取读写锁 public ReentrantReadWriteLock.WriteLock writeLock() { return writerLock; } public ReentrantReadWriteLock.ReadLock readLock() { return readerLock; } } 来看ReentrantReadWriteLock的内部同步器SYNC /** * Synchronization implementation for ReentrantReadWriteLock. * Subclassed into fair and nonfair versions. ReentrantReadWriteLock的同步锁的实现,有公平和非公平两个版本。 */ abstract static class Sync extends AbstractQueuedSynchronizer { private static final long serialVersionUID = 6317671515068378041L; /* * 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. 读写锁常量,锁的状态将一个int分成两部分,低16表示互斥写锁可持有的数量, 高16位表示共享读锁,可持有的数量。 */ static final int SHARED_SHIFT = 16; static final int SHARED_UNIT = (1 << SHARED_SHIFT); static final int MAX_COUNT = (1 << SHARED_SHIFT) - 1;//65535 static final int EXCLUSIVE_MASK = (1 << SHARED_SHIFT) - 1;//65535 /** Returns the number of shared holds represented in count 共享读 锁数量 */ static int sharedCount(int c) { return c >>> SHARED_SHIFT; } /** Returns the number of exclusive holds represented in count 互斥写锁数量*/ static int exclusiveCount(int c) { return c & EXCLUSIVE_MASK; } /** * A counter for per-thread read hold counts. * Maintained as a ThreadLocal; cached in cachedHoldCounter 每个读线程持有共享读锁的数量计数器,维持一个ThreadLocal变量,缓存在cachedHoldCounter */ static final class HoldCounter { int count = 0; // Use id, not reference, to avoid garbage retention //用long的id,而不是reference,为了防止产生不可回收的垃圾 final long tid = Thread.currentThread().getId(); } /** * ThreadLocal subclass. Easiest to explicitly define for sake * of deserialization mechanics. 线程持有锁数量 */ static final class ThreadLocalHoldCounter extends ThreadLocal<HoldCounter> { public HoldCounter initialValue() { return new HoldCounter(); } } /** * 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. 当前线程拥有的可重入读锁数量,初始化在构造和readObject方法中, 当一个线程持有读锁的数量为0时,移除readHolds。 */ 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. *最后一个成功获取读锁,持有读锁数量。在后继线程释放最后一个获取的读锁时, 记录线程本地读锁持有数量,cachedHoldCounter是non-volatile。 * <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. * 用于缓存存活线程读锁的持有量,同时避免线程引用产生的垃圾。 * <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. *第一个获取读锁的线程,和持有读锁的数量 * <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. *第一个获取读锁的读线程,是第一个将共享锁状态从0变到1,同时没有释放读锁,没有这样的线程,则为null * <p>Cannot cause garbage retention unless the thread terminated * without relinquishing its read locks, since tryReleaseShared * sets it to null. * 不会引起内存垃圾,由于当一个线程未放弃获取读锁,同时中断线程,从tryReleaseShared可以看到,为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; Sync() { //在同步器的构造中,初始化读线程本地锁持有数量计数器 readHolds = new ThreadLocalHoldCounter(); setState(getState()); // ensures visibility of readHolds } /* * Acquires and releases use the same code for fair and * nonfair locks, but differ in whether/how they allow barging * when queues are non-empty. */ 获取和释放公平锁和非公平锁,我们用相同代码实现,不同的是等队列不为空时, 他们的竞争方式。 /** * Returns true if the current thread, when trying to acquire * the read lock, and otherwise eligible to do so, should block * because of policy for overtaking other waiting threads. */ 如果当前线程尝试获取读锁,根据等待线程负载策略,其他的线程成为获取的锁 的最优选择,则阻塞当前线程。 abstract boolean readerShouldBlock(); /** * Returns true if the current thread, when trying to acquire * the write lock, and otherwise eligible to do so, should block * because of policy for overtaking other waiting threads. */ 当前线程尝试获取写锁时,是否应该阻塞,根据等待线程负载策略,其他的线程成为获取的锁 的最优选择,则阻塞当前线程。 abstract boolean writerShouldBlock(); /* * Note that tryRelease and tryAcquire can be called by * Conditions. So it is possible that their arguments contain * both read and write holds that are all released during a * condition wait and re-established in tryAcquire. */ 尝试获取和释放方法可以被Condition调用。releases参数包括 在条件等待下,重新尝试获取锁期间释放的锁。 protected final boolean tryRelease(int releases) { if (!isHeldExclusively()) //如果非独占锁,抛出异常 throw new IllegalMonitorStateException(); int nextc = getState() - releases; boolean free = exclusiveCount(nextc) == 0; if (free) //如果释放锁后,锁的状态为0,则锁处于打开状态 setExclusiveOwnerThread(null); setState(nextc); return free; } 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. 1.当读锁和写锁的数量为非零,且持有者非当前线程,获取失败; 2.当读写锁数量达到最大值65535时,后去失败 3.如果其他队列线程尝试获取锁,根据队列策略,当前线程是合格线程, 则获取成功,更新锁状态,设置锁持有者。 */ Thread current = Thread.currentThread(); int c = getState(); int w = exclusiveCount(c); if (c != 0) { // (Note: if c != 0 and w == 0 then shared count != 0) //当前锁状态不为0,且写锁不为0且当前线程非锁持有者,获取失败 if (w == 0 || current != getExclusiveOwnerThread()) return false; //如果持有写锁数量,大于65535,抛出错误 if (w + exclusiveCount(acquires) > MAX_COUNT) throw new Error("Maximum lock count exceeded"); // Reentrant acquire 否则更新锁状态,获取成功 //setState(c + acquires); return true; } //如果锁状态为打开状态,当前线程不应该阻塞,则获取锁成功,更新写锁状态 if (writerShouldBlock() || !compareAndSetState(c, c + acquires)) return false; setExclusiveOwnerThread(current); return true; } //尝试释放共享锁 protected final boolean tryReleaseShared(int unused) { Thread current = Thread.currentThread(); if (firstReader == current) { // assert firstReaderHoldCount > 0; //如果第一个获取读锁的线程为当前线程,持有锁数量为1,则释放成功,否则, //锁持有数量减1 if (firstReaderHoldCount == 1) firstReader = null; else firstReaderHoldCount--; } else { //如果当前线程非读锁持有者 HoldCounter rh = cachedHoldCounter; if (rh == null || rh.tid != current.getId()) //如果线程持有一定数量的读锁,且非当前线程, //从读锁计数器中,获取当前线程持有数量 rh = readHolds.get(); int count = rh.count; if (count <= 1) { //如果持有数量小于等于1,则从读锁计数器中移除当前线程 readHolds.remove(); if (count <= 0) throw unmatchedUnlockException(); } --rh.count; } for (;;) { 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. /*释放读锁对读线程没有任何影响,对于写线程获取写锁, 需要读锁和写锁都可用。 return nextc == 0; } } //不匹配打开条件 private IllegalMonitorStateException unmatchedUnlockException() { return new IllegalMonitorStateException( "attempt to unlock read lock, not locked by current thread"); } //尝试获取共享锁 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. 1.如果写锁被其他线程持有,则失败; 2.如果持有写锁,根据队列策略,判断是否应该阻塞,如果不应该阻塞, 则尝试更新锁状态,这个过程不会检查尝试获取锁的竞争者,这个是 为了延迟full version以避免检查非重入锁的锁持有数量 3.如果第二步,失败则进入自旋等待 */ Thread current = Thread.currentThread(); int c = getState(); if (exclusiveCount(c) != 0 && getExclusiveOwnerThread() != current) //如果写锁非打开状态,且当前线程非写锁持有者,则获取读锁失败。 return -1; int r = sharedCount(c); if (!readerShouldBlock() && r < MAX_COUNT && compareAndSetState(c, c + SHARED_UNIT)) { //如果根据队列策略不应该阻塞,且读锁可用,更新读锁状态 if (r == 0) { //如果是一个获取读锁的线程,则设置firstReader为当前线程 firstReader = current; firstReaderHoldCount = 1; } else if (firstReader == current) { //如果firstReader为当前线程,则线程持有读锁数量加1 firstReaderHoldCount++; } else { HoldCounter rh = cachedHoldCounter; //如果当前线程非firstReader,从读锁缓存计数器,获取当前线程计数器, //如果从线程技术器为null,或计数器线程id非当前线程, //从线程读锁计数器后去,本地线程计数器,读锁持有数量+1 if (rh == null || rh.tid != current.getId()) cachedHoldCounter = rh = readHolds.get(); else if (rh.count == 0) readHolds.set(rh); rh.count++; } return 1; } //否则,自旋尝试获取共享读锁 return fullTryAcquireShared(current); } /** * Full version of acquire for reads, that handles CAS misses * and reentrant reads not dealt with in tryAcquireShared. 自旋尝试获取读锁,处理CAS操作遗漏或重入的读线程没有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. 这是tryAcquireShared的一个补充,当阻塞获取读锁时,自旋等待,延迟尝试获取读锁 和更新读锁持有者 */ HoldCounter rh = null; for (;;) { int c = getState(); if (exclusiveCount(c) != 0) { if (getExclusiveOwnerThread() != current) //如果写非打开状态,且非写锁持有,获取失败 return -1; // else we hold the exclusive lock; blocking here // would cause deadlock. } else if (readerShouldBlock()) { //如果应该阻塞获取读锁,则判断firstReader是否为当前线程, //如果是,什么都不做,应为读锁是非重入的 // Make sure we're not acquiring read lock reentrantly if (firstReader == current) { // assert firstReaderHoldCount > 0; } else { if (rh == null) { //从线程计算器缓存获取,线程计数器 rh = cachedHoldCounter; if (rh == null || rh.tid != current.getId()) { //如果为null,且非当前线程,从读锁计数器,获取本地线程计数器 rh = readHolds.get(); if (rh.count == 0) //如果读锁持有量为0,则从读锁计数器,移除本地计数器 readHolds.remove(); } } if (rh.count == 0) return -1; } } //如果线程为写锁持有者,当共享读锁达到65535时,抛出错误 if (sharedCount(c) == MAX_COUNT) throw new Error("Maximum lock count exceeded"); if (compareAndSetState(c, c + SHARED_UNIT)) { //否则获取锁成功,这一段与tryAcquireShared成功获取读锁一样,不再讲 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; } } } /** * Performs tryLock for write, enabling barging in both modes. * This is identical in effect to tryAcquire except for lack * of calls to writerShouldBlock. 尝试获取写锁,与tryAcquire非阻塞时的代码相同 */ final boolean tryWriteLock() { Thread current = Thread.currentThread(); int c = getState(); if (c != 0) { int w = exclusiveCount(c); if (w == 0 || current != getExclusiveOwnerThread()) //如果写锁为关闭状态,且持有者非当前线程,获取失败 return false; if (w == MAX_COUNT) //如果写锁持有数量为65535,则抛出错误。 throw new Error("Maximum lock count exceeded"); } if (!compareAndSetState(c, c + 1)) //更新锁状态失败,则获取写锁失败 return false; //设置锁持有者为当前线程。 setExclusiveOwnerThread(current); return true; } /** * Performs tryLock for read, enabling barging in both modes. * This is identical in effect to tryAcquireShared except for * lack of calls to readerShouldBlock. 自旋尝试获取读锁,这个与tryAcquireShared中的当线程不应该阻塞时的代码一样 */ final boolean tryReadLock() { Thread current = Thread.currentThread(); for (;;) { int c = getState(); if (exclusiveCount(c) != 0 && getExclusiveOwnerThread() != current) return false; int r = sharedCount(c); if (r == MAX_COUNT) throw new Error("Maximum lock count exceeded"); if (compareAndSetState(c, c + SHARED_UNIT)) { 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++; } return true; } } } //是否是线程持有者 protected final boolean isHeldExclusively() { // While we must in general read state before owner, // we don't need to do so to check if current thread is owner return getExclusiveOwnerThread() == Thread.currentThread(); } // Methods relayed to outer class //创建条件 final ConditionObject newCondition() { return new ConditionObject(); } //获取写锁持有者 final Thread getOwner() { // Must read state before owner to ensure memory consistency return ((exclusiveCount(getState()) == 0) ? null : getExclusiveOwnerThread()); } //获取读锁状态 final int getReadLockCount() { return sharedCount(getState()); } //是否处于写模式 final boolean isWriteLocked() { return exclusiveCount(getState()) != 0; } //获取写锁状态 final int getWriteHoldCount() { return isHeldExclusively() ? exclusiveCount(getState()) : 0; } //获取当前线程持有读锁的数量 final int getReadHoldCount() { if (getReadLockCount() == 0) return 0; Thread current = Thread.currentThread(); if (firstReader == current) return firstReaderHoldCount; HoldCounter rh = cachedHoldCounter; if (rh != null && rh.tid == current.getId()) return rh.count; int count = readHolds.get().count; if (count == 0) readHolds.remove(); return count; } /** * Reconstitute this lock instance from a stream * @param s the stream,反序列化 */ private void readObject(java.io.ObjectInputStream s) throws java.io.IOException, ClassNotFoundException { s.defaultReadObject(); readHolds = new ThreadLocalHoldCounter(); //读锁计算器,为新建,锁状态为打开 setState(0); // reset to unlocked state } //获取锁状态 final int getCount() { return getState(); } } }
由于ReentrantReadWriteLock的内容较多,今天我们先讲到这,后面再讲其余部分,先来总结一下先;
总结:
Sync是ReentrantReadWriteLock实现读写锁的基础,Sync是基于AQS的实现,
内部有一个各读锁计数器(ThreadLocal),每个线程拥有自己的读写计数器,存储着线程持有读锁的数量。同时有一个缓存计数器,用于记录当前线程拥有的读锁数量。有一个firstReader用于记录第一个获取读锁的线程,firstReaderHoldCount记录第一个获取读锁线程的持有锁数量。SYNC将锁的状态int state分成两部分,分为高16位和低16位,高位表示共享读锁,低位是独占写锁;所以读锁和写锁的最大持有量为65535。线程只有在没有线程持有读锁且写锁状态为打开,即state为打开状态,或当前线程持有写锁的数量小于65535的情况下,获取写锁成功,否则失败。线程只有在其他线程没有持有写锁,且读锁的持有数量未达到65535,或当前线程持有写锁且没有读锁的持有数量未达到65535(即锁降级),则当前线程获取读锁成功,否则自旋等待。
ReentrantReadWriteLock详解后续:http://donald-draper.iteye.com/blog/2361528
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Executors解析
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ScheduledThreadPoolExecutor解析三(关闭线程池)
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ScheduledThreadPoolExecutor解析二(任务调度)
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ThreadPoolExecutor解析四(线程池关闭)
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ThreadPoolExecutor解析三(线程池执行提交任务)
2017-04-03 12:06 6082Executor接口的定义:http://donald-dra ... -
ThreadPoolExecutor解析二(线程工厂、工作线程,拒绝策略等)
2017-04-01 17:12 3036Executor接口的定义:http://donald-dra ... -
ThreadPoolExecutor解析一(核心线程池数量、线程池状态等)
2017-03-31 22:01 20514Executor接口的定义:http://donald-dra ... -
ScheduledExecutorService接口定义
2017-03-29 12:53 1504Executor接口的定义:http://donald-dra ... -
AbstractExecutorService解析
2017-03-29 08:27 1073Executor接口的定义:http: ... -
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2017-03-28 14:27 1586Executor接口的定义:http://donald-dra ... -
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2017-03-28 12:39 1062Executor接口的定义:http://donald-dra ... -
FutureTask解析
2017-03-27 12:59 1326package java.util.concurrent; ... -
Future接口定义
2017-03-26 09:40 1193/* * Written by Doug Lea with ... -
ExecutorService接口定义
2017-03-25 22:14 1159Executor接口的定义:http://donald-dra ... -
Executor接口的定义
2017-03-24 23:24 1672package java.util.concurrent; ... -
简单测试线程池拒绝执行任务策略
2017-03-24 22:37 2025线程池多余任务的拒绝执行策略有四中,分别是直接丢弃任务Disc ... -
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2017-03-23 22:51 920Queue接口定义:http://donald-draper. ... -
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