前往小程序,Get更优阅读体验!
立即前往
首页
学习
活动
专区
工具
TVP
发布
社区首页 >专栏 >(juc系列)reentrantreadwritelock源码学习

(juc系列)reentrantreadwritelock源码学习

作者头像
呼延十
发布2021-10-18 10:43:08
3100
发布2021-10-18 10:43:08
举报
文章被收录于专栏:呼延

本文源码基于: JDK13

简介

这个类是一个ReadWriteLock的实现类,实现了类似于ReentrantLock的语义.

这个类有以下特性:

获取顺序

这个类没有给读写者强加获取锁的顺序,但是他实现了一个可选的公平策略。

  • 非公平模式(默认模式 当创建一个非公平的锁,获取读锁,写锁的顺序是没有指定的. 满足可重入性的约束.

一个非公平锁,可能会因为不断的争执,而无限期的推迟一个或者多个读锁/写锁的获取线程,但是通常来讲拥有更好的吞吐量.

  • 公平模式

当创建一个公平所,线程竞争使用一个到达序的策略. 当前持有锁的线程释放锁,等待时间最长的单个写入线程就拿到写锁, 或者如果有一组读线程, 等待的时间比所有的写线程都长,那么这组读线程将拿到读锁.

如果当前锁正在被写锁持有,或者有一个等待的写线程,公平模式下的获取读锁的请求将会被阻塞. 直到等待时间最长的写线程拿到锁并释放.

当然,如果一个等待中的写线程放弃了,让一个或者多少读线程成为了队列中等待最久的, 这些读线程将拿到读锁.

如果一个写线程尝试获取锁,除非当前所有的读锁和写锁都是空闲的, 才能拿到锁,意味着当前不能有任何的等待线程.

可重入性

这个锁允许所有的读线程和写线程重复的申请对应的锁,就像ReentrantLock一样. 不是重入的读线程将被正在持有锁的写线程阻塞.

一个写线程可以获取读锁. 在很多应用中,可重入性很有用,当写线程持有写锁,在某些调用或者回调方法中执行读操作。如果一个读线程尝试去申请写锁,永远不会成功.

锁降级

支持从写锁降级到读锁,但是从读锁升级到写锁是不允许的.

支持Condition

写锁提供了一个Condition的实现,他的行为模式和写锁一样. 就像ReentrantLock中的Condition一样.读锁不支持Condition.

仪表盘

这个类支持查看锁被持有还是竞争中,这些方法用于监视系统状态,而不是用于同步控制.

这个锁的序列化和内置锁的行为方式相同,反序列化的锁处于解锁状态,无论序列化时状态如何.

简单的使用案例.

代码片段简单的展示了在更新cache之后如何进行锁的降级.

代码语言:javascript
复制
class CachedData {
   Object data;
   boolean cacheValid;
   final ReentrantReadWriteLock rwl = new ReentrantReadWriteLock();

   void processCachedData() {
       // 读锁
     rwl.readLock().lock();
     
     if (!cacheValid) {
       // Must release read lock before acquiring write lock
         // 释放读锁
       rwl.readLock().unlock();
       // 申请写锁
       rwl.writeLock().lock();
       try {
         // Recheck state because another thread might have
         // acquired write lock and changed state before we did.
         if (!cacheValid) {
             // 新数据的赋值
           data = ...
           cacheValid = true;
         }
         // Downgrade by acquiring read lock before releasing write lock
           // 降级成读锁
         rwl.readLock().lock();
       } finally {
           // 释放写锁,还持有读锁
         rwl.writeLock().unlock(); // Unlock write, still hold read
       }
     }

     try {
       use(data);
     } finally {
       rwl.readLock().unlock();
     }
   }
 }
  1. 首先获取读锁.
  2. 释放读锁,同时申请写锁.
  3. 完成写操作后,申请读锁.
  4. 释放写锁,持有读锁
  5. 完全使用完成后,释放读锁。

ReentrantReadWriteLock可以用在一些集合类中,用来提升并发性. 只有当集合预期很大,且被很多歌读线程访问,数量远多余写线程时是值得的.

下面是一个使用TreeMap的类,预期很大且会有并发的访问.

代码语言:javascript
复制
class RWDictionary {
   private final Map<String, Data> m = new TreeMap<>();
   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 List<String> allKeys() {
     r.lock();
     try { return new ArrayList<>(m.keySet()); }
     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(); }
   }
 }

这个类对TreeMap进行了封装,使用TreeMap+ReentrantReadWriteLock实现了一个线程安全的TreeMap.

这个类支持最大65535个重入的写入所和65535个读锁.超过这个限制,会返回Error.

源码阅读

这个类使用AQS框架实现,先来看一下AQS的子类Sync.

Sync

变量

首先是几个属性.

代码语言:javascript
复制
/*
 * 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.
 */

// 共享锁的位数
static final int SHARED_SHIFT   = 16;
// 共享锁unit
static final int SHARED_UNIT    = (1 << SHARED_SHIFT);
// 最大数量
static final int MAX_COUNT      = (1 << SHARED_SHIFT) - 1;
// 独占锁的mask.
static final int EXCLUSIVE_MASK = (1 << SHARED_SHIFT) - 1;

/**
 * A counter for per-thread read hold counts.
 * Maintained as a ThreadLocal; cached in cachedHoldCounter.
 */
// 每个线程持有的读锁的数量
static final class HoldCounter {
    int count;          // initially 0
    // Use id, not reference, to avoid garbage retention
    final long tid = LockSupport.getThreadId(Thread.currentThread());
}

/**
 * ThreadLocal subclass. Easiest to explicitly define for sake
 * of deserialization mechanics.
 */
// 用ThreadLocal记录每个线程持有的读锁的数量
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.
     */
    // 当前线程的读锁持有数量
    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.
     */
    // 上一个成功获取读锁的线程持有的数量
    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.
     */
    // 第一个申请读锁的线程
    // 第一个申请读锁的线程,现在持有的读锁数量.
    private transient Thread firstReader;
    private transient int firstReaderHoldCount;

首先定义了一些常量,用来指示在State状态的定义中,读写锁的表示方法等. 以及内部的读锁计数的保存》

构造方法
代码语言:javascript
复制
Sync() {
        readHolds = new ThreadLocalHoldCounter();
        setState(getState()); // ensures visibility of readHolds
}

比较简单,初始化了一个当前线程的计数器,然后检查了一下初始状态.

tryRelease

这是AQS中释放独占锁的方法:

代码语言:javascript
复制
        /*
         * 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.
         */
        @ReservedStackAccess
        protected final boolean tryRelease(int releases) {
            if (!isHeldExclusively())
                throw new IllegalMonitorStateException();
            int nextc = getState() - releases;
            boolean free = exclusiveCount(nextc) == 0;
            if (free)
                setExclusiveOwnerThread(null);
            setState(nextc);
            return free;
        }

首先判断是否独占锁,不是的话抛出异常.

  1. 用当前State减去要释放的数量.
  2. 如果释放后,独占锁的数量为0. 则锁释放成功.将锁的当前线程设置为null.
  3. 如果独占锁的数量仍不为0(可重入锁),则释放返回仍未释放.
tryAcquire

这是AQS中获取独占锁的方法:

代码语言:javascript
复制
        @ReservedStackAccess
        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) {
                // (Note: if c != 0 and w == 0 then shared count != 0)
                if (w == 0 || current != getExclusiveOwnerThread())
                    return false;
                if (w + exclusiveCount(acquires) > MAX_COUNT)
                    throw new Error("Maximum lock count exceeded");
                // Reentrant acquire
                setState(c + acquires);
                return true;
            }
            if (writerShouldBlock() ||
                !compareAndSetState(c, c + acquires))
                return false;
            setExclusiveOwnerThread(current);
            return true;
        }
  1. 首先拿到当前的线程以及当前锁的State.
  2. 如果锁的状态不为0, 意味着当前有锁被持有. 但是独占锁的数量为0. 意味着当前锁在被shared模式持有. 直接返回加锁失败.
  3. 对锁的状态递增此次申请的数量. 如果超过最大数量,抛出异常. 未超过,设置状态. 加锁成功.
  4. 如果锁的状态为0. 且当前写锁应该被阻塞,或者设置状态尝试获取锁失败,都返回加锁失败. 否则加锁成功,设置当前持有锁的线程.
tryReleaseShared 释放共享锁
代码语言:javascript
复制
        @ReservedStackAccess
        protected final boolean tryReleaseShared(int unused) {
            Thread current = Thread.currentThread();
            // 当前线程是第一个读线程
            if (firstReader == current) {
                // assert firstReaderHoldCount > 0;
                if (firstReaderHoldCount == 1)
                    firstReader = null;
                else
                    firstReaderHoldCount--;
            } else {
                // 拿到缓存的holder.或者当前线程的holder.
                HoldCounter rh = cachedHoldCounter;
                if (rh == null ||
                    rh.tid != LockSupport.getThreadId(current))
                    rh = readHolds.get();
                int count = rh.count;
                if (count <= 1) {
                    readHolds.remove();
                    if (count <= 0)
                        throw unmatchedUnlockException();
                }
                --rh.count;
            }
            // 自选,进行状态的递减
            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.
                    return nextc == 0;
            }
        }

这是AQS中释放共享锁的操作:

  1. 如果当前线程是第一个获取读锁的线程: 将当前类持有的firstReaderfirstReaderHoldCount进行相应的赋值.递减/置为null.
  2. 拿到上一个持有共享锁的读线程,如果当前线程不是上一个线程. 就拿到当前线程的holder.
  3. 对拿到的线程持有数量的holder进行递减.
  4. 对共享锁进行递减,注意: 共享锁使用的是State的高位部分, 因此每次减去的值是: SHARED_UNIT.
  5. 设置状态成功,返回释放后的state是否为0.
tryAcquireShared 获取共享锁
代码语言:javascript
复制
        @ReservedStackAccess
        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();
            // 当前状态
            int c = getState();
            // 独占锁被持有,并且独占的线程不是当前线程,直接获取失败失败
            if (exclusiveCount(c) != 0 &&
                getExclusiveOwnerThread() != current)
                return -1;
            // 当前持有的共享锁的数量
            int r = sharedCount(c);
            // 获取共享锁是否应该被阻塞&&共享锁数量小于最大值&&递增状态State成功.
            // 意味着加锁成功了.
            if (!readerShouldBlock() &&
                r < MAX_COUNT &&
                compareAndSetState(c, c + SHARED_UNIT)) {
                // r==0意味着当前没有共享锁,那么当前线程就是第一个读线程,进行赋值
                if (r == 0) {
                    firstReader = current;
                    firstReaderHoldCount = 1;
                    
                } else if (firstReader == current) {
                    // 当前线程已经是第一个读线程了,对相关参数进行递增
                    firstReaderHoldCount++;
                } else {
                    // 获取上一个读锁的获取者
                    HoldCounter rh = cachedHoldCounter;
                    if (rh == null ||
                        rh.tid != LockSupport.getThreadId(current))
                        // 如果线程不是上一个线程,或者上一个缓存的为空
                        // 将当前的线程缓存起来
                        cachedHoldCounter = rh = readHolds.get();
                    else if (rh.count == 0)
                        // 当前线程就是缓存的上一个线程,但是数量为0. 就设置为readHold
                        readHolds.set(rh);
                    // 获取的读锁数量+1.
                    rh.count++;
                }
                // 代表成功了.
                return 1;
            }
            return fullTryAcquireShared(current);
        }

获取共享锁:整体的流程如备注中所述,上面的方法处理了:

  1. 当前获取不阻塞.
  2. 共享锁数量未超过最大值
  3. CAS能成功.

这三个条件均满足的情况,如果不满足,调用了fullTryAcquireShared来处理.

代码语言:javascript
复制
        /**
         * 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 (;;) {
                // 当前状态
                int c = getState();
                // 有独占锁,直接失败
                if (exclusiveCount(c) != 0) {
                    if (getExclusiveOwnerThread() != current)
                        return -1;
                    // else we hold the exclusive lock; blocking here
                    // would cause deadlock.
                } else if (readerShouldBlock()) {
                    // 当前应该被阻塞.
                    // Make sure we're not acquiring read lock reentrantly
                // 第一个读线程,不干啥
                    if (firstReader == current) {
                        // assert firstReaderHoldCount > 0;
                    } else {
                        // 读取缓存的线程持有锁数量.
                        if (rh == null) {
                            rh = cachedHoldCounter;
                            if (rh == null ||
                                rh.tid != LockSupport.getThreadId(current)) {
                                // 缓存的不是当前线程,取当前线程的.
                                rh = readHolds.get();
                                // 持有锁数量为0. 删掉
                                if (rh.count == 0)
                                    readHolds.remove();
                            }
                        }
                        // 没看懂,为啥缓存的或者当前的为0. 要返回-1
                        if (rh.count == 0)
                            return -1;
                    }
                }
                // 当前读锁数量到达最大了,抛出异常
                if (sharedCount(c) == MAX_COUNT)
                    throw new Error("Maximum lock count exceeded");
                // 如果设置+1个读锁成功
                if (compareAndSetState(c, c + SHARED_UNIT)) {
                    // 如果读锁为0.那么当前线程就是第一个读锁
                    if (sharedCount(c) == 0) {
                        firstReader = current;
                        firstReaderHoldCount = 1;
                        // 第一个读锁重入
                    } else if (firstReader == current) {
                        firstReaderHoldCount++;
                    } else {
                        // 缓存上一个获取读锁的线程
                        if (rh == null)
                            rh = cachedHoldCounter;
                        if (rh == null ||
                            rh.tid != LockSupport.getThreadId(current))
                            rh = readHolds.get();
                        else if (rh.count == 0)
                            readHolds.set(rh);
                        rh.count++;
                        cachedHoldCounter = rh; // cache for release
                    }
                    // 成功
                    return 1;
                }
                // 如果CAS设置状态失败,继续自旋
            }
        }

其实和tryAcquireShared很像,只是通过分离代码处理了额外的几种情况.

tryWriteLock 获取写锁
代码语言:javascript
复制
        /**
         * Performs tryLock for write, enabling barging in both modes.
         * This is identical in effect to tryAcquire except for lack
         * of calls to writerShouldBlock.
         */
        @ReservedStackAccess
        final boolean tryWriteLock() {
            Thread current = Thread.currentThread();
            int c = getState();
            if (c != 0) {
                int w = exclusiveCount(c);
                if (w == 0 || current != getExclusiveOwnerThread())
                    return false;
                if (w == MAX_COUNT)
                    throw new Error("Maximum lock count exceeded");
            }
            if (!compareAndSetState(c, c + 1))
                return false;
            setExclusiveOwnerThread(current);
            return true;
        }

tryAcquire效果一样,只是不考虑writerShouldBlock.

tryReadLock
代码语言:javascript
复制
        /**
         * Performs tryLock for read, enabling barging in both modes.
         * This is identical in effect to tryAcquireShared except for
         * lack of calls to readerShouldBlock.
         */
        @ReservedStackAccess
        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 != LockSupport.getThreadId(current))
                            cachedHoldCounter = rh = readHolds.get();
                        else if (rh.count == 0)
                            readHolds.set(rh);
                        rh.count++;
                    }
                    return true;
                }
            }
        }

tryAcquireShared效果一样,只是不考虑readerShouldBlock.

NonfairSync 非公平状态下的Sync

代码语言:javascript
复制
    /**
     * Nonfair version of Sync
     */
    static final class NonfairSync extends Sync {
        private static final long serialVersionUID = -8159625535654395037L;
        final boolean writerShouldBlock() {
            return false; // writers can always barge
        }
        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();
        }
    }

主要是定义了父类中的两个抽象方法.

  • writerShouldBlock. 写锁的请求,任何时候都可以申请.
  • readerShouldBlock . 读锁的请求,能不能申请,要看情况咯.
代码语言:javascript
复制
    /**
     * 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;
    }

这是为了避免因为非公平的竞争,而把写锁饿死的情况实现的一个方法:

如果当前等待队列中有两个节点,且第二个还是独占的写锁等待,当前的读锁请求就不允许提交了.

这是一个概率上的问题,如果等待队列里面已经有一个写锁排在读锁后面了,害怕把写锁饿死,就在这里不让别的读锁来竞争,知道前面的锁走完.

FairSync 公平模式

代码语言:javascript
复制
    /**
     * Fair version of Sync
     */
    static final class FairSync extends Sync {
        private static final long serialVersionUID = -2274990926593161451L;
        final boolean writerShouldBlock() {
            return hasQueuedPredecessors();
        }
        final boolean readerShouldBlock() {
            return hasQueuedPredecessors();
        }
    }

公平锁,对于读写锁是公平的,都是看队列中有没有已经在等待的节点了.(这部分是在AQS实现的)

代码语言:javascript
复制
    public final boolean hasQueuedPredecessors() {
        Node h, s;
        if ((h = head) != null) {
            if ((s = h.next) == null || s.waitStatus > 0) {
                s = null; // traverse in case of concurrent cancellation
                for (Node p = tail; p != h && p != null; p = p.prev) {
                    if (p.waitStatus <= 0)
                        s = p;
                }
            }
            // 队列中第一个在等待的节点,不是当前节点,那么当前线程就不要提交了
            if (s != null && s.thread != Thread.currentThread())
                return true;
        }
        // 当前节点的请求可以提交.
        return false;
    }

ReadLock

read是一个实现了Lock接口的子类. 持有一个Sync同步器.

lock
代码语言:javascript
复制
        public void lock() {
            sync.acquireShared(1);
        }

读锁的加锁,调用了AQS的申请一个共享锁.

tryLock
代码语言:javascript
复制
        public boolean tryLock() {
            return sync.tryReadLock();
        }

读锁的尝试加锁. 调用的是同步器的tryReadLock,也就是不考虑readerShouldBlock,而强行进行的一次加锁行为.

unlock
代码语言:javascript
复制
        public void unlock() {
            sync.releaseShared(1);
        }

读锁的解锁,是调用AQS的释放一次共享锁.

WriteLock

写锁的实现,也是实现Lock接口的一个实现类.

lock
代码语言:javascript
复制
        public void lock() {
            sync.acquire(1);
        }

写锁的加锁,是调用AQS的获取一个独占锁实现.

tryLock
代码语言:javascript
复制
        public boolean tryLock() {
            return sync.tryWriteLock();
        }

写锁的tryLock.调用sync.tryWriteLock.不考虑writerShoulBlock进行的一次强行尝试.

unlock
代码语言:javascript
复制
        public void unlock() {
            sync.release(1);
        }

写锁的解锁,调用AQS的释放独占锁一次.

其他

其他还有一些对于类内部属性的查询方法,主要用于对当前锁状态的监控,这里就不展开了. 都是比较简单的属性查询.

总结

ReentrantReadWriteLock, 继承自AQS框架, 实现了读写锁,可重入特性.

既然是继承自AQS框架. 那么主要工作仍然是对State的定义.

  1. State的低16位,保存独占锁的加锁信息及重入次数.
  2. State的高16位,保存共享锁的加锁信息,及加锁数量. 共享锁的重入次数,由单独的属性进行保存.
  • 读写锁

读写锁功能由两个子类ReadLockWriteLock实现,负责调用AQS的独占锁加解锁和共享锁的加解锁.

  • 公平锁/非公平锁

由AQS的子类SyncNonfairSyncFairSync实现,主要是控制新加入的加锁请求是否要排队来实现的.

  • 可重入性

可重入锁,需要记录锁的持有线程,对当前线程持有的数量进行递增递减,而不是简单的是否为某个特定值.

写锁的重入数量保存在State的低16位. 读锁的重入数量保存在readHolds中. 由一个类似于ThreadLocal的结构进行保存线程->重入数量的对应关系.

  • 为什么需要单独保存第一个读锁的线程? firstReaderfirstReaderHoldCount.

总的说是为了减少ThreadLocal的数量,减少内存占用。详细分析看这里: https://www.mdnice.com/writing/f2beb7d9c58f43afbdeec9ce708d4582

参考文章

关于ReentrantReadWriteLock,第一个获取读锁的线程单独记录问题讨论(firstReader和firstReaderHoldCount)

完。

联系我

最后,欢迎关注我的个人公众号【 呼延十 】,会不定期更新很多后端工程师的学习笔记。 也欢迎直接公众号私信或者邮箱联系我,一定知无不言,言无不尽。

以上皆为个人所思所得,如有错误欢迎评论区指正。

欢迎转载,烦请署名并保留原文链接。

联系邮箱:huyanshi2580@gmail.com

更多学习笔记见个人博客或关注微信公众号 <呼延十 >——>

本文参与 腾讯云自媒体同步曝光计划,分享自作者个人站点/博客。
如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 作者个人站点/博客 前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体同步曝光计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
目录
  • 简介
    • 获取顺序
      • 可重入性
        • 锁降级
          • 支持Condition
            • 仪表盘
              • 简单的使用案例.
              • 源码阅读
                • Sync
                  • 变量
                  • 构造方法
                  • tryRelease
                  • tryAcquire
                  • tryReleaseShared 释放共享锁
                  • tryAcquireShared 获取共享锁
                  • tryWriteLock 获取写锁
                  • tryReadLock
                • NonfairSync 非公平状态下的Sync
                  • FairSync 公平模式
                    • ReadLock
                      • lock
                      • tryLock
                      • unlock
                    • WriteLock
                      • lock
                      • tryLock
                      • unlock
                    • 其他
                    • 总结
                    • 参考文章
                    • 联系我
                    领券
                    问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档