聊聊高并发(二十八)解析java.util.concurrent各个组件(十) 理解ReentrantReadWriteLock可重入读-写锁
这篇讲讲ReentrantReadWriteLock可重入读写锁,它不仅是读写锁的实现,而且支持可重入性。 聊聊高并发(十五)实现一个简单的读-写锁(共享-排他锁) 这篇讲了怎样模拟一个读写锁。
可重入的读写锁的特点是
1. 当有线程获取读锁时,不同意再有线程获得写锁
2. 当有线程获得写锁时。不同意其它线程获得读锁和写锁
这里隐含着几层含义:
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; }
1. 能够同一时候有多个线程同一时候获得读锁,进入临界区。这时候的读锁的行为和Semaphore信号量是类似的
2. 因为是可重入的。所以1个线程假设获得了读锁,那么它能够重入这个读锁
3. 假设1个线程获得了读锁。那么它不能同一时候再获得写锁,这个就是所谓的“锁升级”,读锁升级到写锁可能会造成死锁,所以是不同意的
4. 假设1个线程获得了写锁,那么不同意其它线程再获得读锁和写锁,可是它自己能够获得读锁,就是所谓的“锁降级”,锁降级是同意的
关于读写锁的实现还要考虑的几个要点:
1. 释放锁时的优先级问题。是让写锁先获得还是先让读锁先获得
2. 是否同意读线程插队
3. 是否同意写线程插队。由于读写锁一般用在大量读,少量写的情况,假设写线程没有优先级,那么可能造成写线程的饥饿
4. 锁的升降级问题,通常是同意1个线程的写锁降级为读锁,不同意读锁升级成写锁
带着问题看看ReentrantReadWriteLock的源代码。 它相同提供了Sync来继承AQS并提供扩展,可是它的Sync相比較Semaphore和CountDownLatch要更加复杂。
1. 把State状态作为一个读写锁的计数器,包含了重入的次数。
state是32位的int值,所以把高位16位作为读锁的计数器,低位的16位作为写锁的计数器,并提供了响应的读写这两个计数器的位操作方法。
计算sharedCount时,採用无符号的移位操作,右移16位就是读锁计数器的值
写锁直接用EXCLUSIVE_MASK和state做与运算。EXCLUSIVE_MASK的值是00000000000000001111111111111111,相当于计算了低位16位的值
须要注意计算出来的值包括了重入的次数。
所以MAX_COUNT限定了最大值是2^17 - 1
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; }
HoldCount类用来计算1个线程的重入次数,并使用了1个ThreadLocal类型的HoldCounter,能够记录每一个线程的锁的重入次数。 cachedHoldCounter记录了最后1个获取读锁的线程的重入次数。 firstReader指向了第一个获取读锁的线程,firstReaderHoldCounter记录了第一个获取读锁的线程的重入次数
static final class HoldCounter {
int count = 0;
// Use id, not reference, to avoid garbage retention
final long tid = Thread.currentThread().getId();
} /**
* ThreadLocal subclass. Easiest to explicitly define for sake
* of deserialization mechanics.
*/
static final class ThreadLocalHoldCounter
extends ThreadLocal<HoldCounter> {
public HoldCounter initialValue() {
return new HoldCounter();
}
} /**
* 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;
Sync提供了两个抽象方法给子类扩展。用来表示读锁和写锁是否应该堵塞等待
/**
* 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.
*/
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.
*/
abstract boolean writerShouldBlock();
写锁的tryXXX获取和释放
1. 写锁释放时,因为没有其它线程获得临界区。它的tryRelease()方法仅仅须要设置状态的值。通过exclusiveCount计算写锁的计数器,假设为0表示释放了写锁,就把exclusiveOwnerThread设置为null.
2. 写锁的tryAcquire获取时。
先推断状态是否为0,为0表示没有线程获得锁,就能够直接设置状态。然后把exclusiveOwnerThread设置为当前线程
假设状态不为0,那表示有几种可能:写锁为0。读锁不为0。写锁不为0。读锁为0。写锁不为0,读锁也不为0。
所以它先推断写锁是否为0。写锁为0,那么表示读锁肯定不会为0,就失败,
或者写锁不为0,可是exclusiveOwnerThread不是自己。那么表示已经有其它线程获得了写锁,就失败
写锁不为0,而且exclusiveOwnerThread是自己。那么肯定表示是写锁的重入的情况,所以设置state状态。返回成功。
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;
} 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;
}
读锁的tryXXX获取和释放
1. 读锁释放时基于共享的方式,改动线程各自的HoldCounter的值。最后採用位操作改动位于state的整体的读锁计数器。tryReleaseShared()之后详细的释放兴许线程的操作由AQS依据队列状态来决定。
2. 读所获取时先看写锁的计数器,假设写锁已经被获取。而且不是当前线程所获取的。就直接失败返回
这里会进行一次高速路径获取,尝试获取一次,假设readShouldBlock()返回false,而且CAS操作成功了,意思是能够获得锁,就更新相关读锁计数器
否则就进行轮询方式的获取fullTryAcquireShared()
也就是说假设当前没有线程获取写锁,或者是自己获取写锁。就能够获取读锁
一个线程获取了写锁之后,它还能够获取读锁,也就是所谓的“锁降级”,但这时候其它线程无法获取读锁。在检查到有其它写锁存在时就退出了
protected final boolean tryReleaseShared(int unused) {
Thread current = Thread.currentThread();
if (firstReader == current) {
// 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;
}
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;
}
} 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();
int c = getState();
if (exclusiveCount(c) != 0 &&
getExclusiveOwnerThread() != current)
return -1;
int r = sharedCount(c);
if (!readerShouldBlock() &&
r < MAX_COUNT &&
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 1;
}
return fullTryAcquireShared(current);
} /**
* 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 = cachedHoldCounter;
if (rh == null || rh.tid != current.getId())
rh = readHolds.get();
for (;;) {
int c = getState();
int w = exclusiveCount(c);
if ((w != 0 && getExclusiveOwnerThread() != current) ||
((rh.count | w) == 0 && readerShouldBlock(current)))
return -1;
if (sharedCount(c) == MAX_COUNT)
throw new Error("Maximum lock count exceeded");
if (compareAndSetState(c, c + SHARED_UNIT)) {
cachedHoldCounter = rh; // cache for release
rh.count++;
return 1;
}
}
}
tryWriteLock和tryReadLock操作和上面的操作类似,它们是读写锁的tryLock()的实际实现,表示尝试获取一次锁
1. tryWriteLock方法尝试获得写锁,先推断状态是否为0,为0而且CAS操作成功就表示获得锁。假设状态不为0,就推断写锁计数器的值。假设写锁计数器为0就表示存在读锁,就返回失败。获取写锁不为0,可是不是当前线程所获取的,也返回失败。仅仅有写锁不为0而且是当前线程自己获取的写锁,就是所谓的写锁重入操作。
CAS成功后就表示获得写锁
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;
} final boolean tryReadLock() {
Thread current = Thread.currentThread();
for (;;) {
int c = getState();
if (exclusiveCount(c) != 0 &&
getExclusiveOwnerThread() != current)
return false;
if (sharedCount(c) == MAX_COUNT)
throw new Error("Maximum lock count exceeded");
if (compareAndSetState(c, c + SHARED_UNIT)) {
HoldCounter rh = cachedHoldCounter;
if (rh == null || rh.tid != current.getId())
cachedHoldCounter = rh = readHolds.get();
rh.count++;
return true;
}
}
}
ReentrantReadWriteLock也提供了非公平和公平的两个Sync版本号
非公平的版本号中
1. 写锁总是优先获取。不考虑AQS队列中先来的线程
2. 读锁也不按FIFO队列排队,而是看当前获得锁是否是写锁,假设是写锁,就等待。否则就尝试获得锁
而公平版本号中
1. 假设有其它锁存在,获取写锁操作就失败。应该(should)进AQS队列等待
2. 假设有其它锁存在。获取读锁操作就失败。应该(should)进AQS队列等待
final static class NonfairSync extends Sync {
private static final long serialVersionUID = -8159625535654395037L;
final boolean writerShouldBlock(Thread current) {
return false; // writers can always barge
}
final boolean readerShouldBlock(Thread current) {
/* 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 probablistic 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();
}
} /**
* Fair version of Sync
*/
final static class FairSync extends Sync {
private static final long serialVersionUID = -2274990926593161451L;
final boolean writerShouldBlock(Thread current) {
// only proceed if queue is empty or current thread at head
return !isFirst(current);
}
final boolean readerShouldBlock(Thread current) {
// only proceed if queue is empty or current thread at head
return !isFirst(current);
}
}
详细ReadLock和WriteLock的实现就是依赖Sync来实现的,默认是非公平版本号的Sync。
读锁採用共享默认的AQS,它提供了中断/不可中断的lock操作,tryLock操作,限时的tryLock操作。
值得注意的时读锁不支持newCondition操作。
public static class ReadLock implements Lock, java.io.Serializable {
private static final long serialVersionUID = -5992448646407690164L;
private final Sync sync; protected ReadLock(ReentrantReadWriteLock lock) {
sync = lock.sync;
} public void lock() {
sync.acquireShared(1);
} public void lockInterruptibly() throws InterruptedException {
sync.acquireSharedInterruptibly(1);
} public boolean tryLock() {
return sync.tryReadLock();
} public boolean tryLock(long timeout, TimeUnit unit) throws InterruptedException {
return sync.tryAcquireSharedNanos(1, unit.toNanos(timeout));
} public void unlock() {
sync.releaseShared(1);
} public Condition newCondition() {
throw new UnsupportedOperationException();
}
WriteLock基于独占模式的AQS,它提供了中断/不可中断的lock操作。tryLock操作,限时的tryLock操作
public static class WriteLock implements Lock, java.io.Serializable {
private static final long serialVersionUID = -4992448646407690164L;
private final Sync sync; protected WriteLock(ReentrantReadWriteLock lock) {
sync = lock.sync;
} public void lock() {
sync.acquire(1);
} public void lockInterruptibly() throws InterruptedException {
sync.acquireInterruptibly(1);
} public boolean tryLock( ) {
return sync.tryWriteLock();
} public boolean tryLock(long timeout, TimeUnit unit) throws InterruptedException {
return sync.tryAcquireNanos(1, unit.toNanos(timeout));
} public void unlock() {
sync.release(1);
} public Condition newCondition() {
return sync.newCondition();
}
最后再说一下AQS和各种同步器实现的关系,AQS提供了同步队列和条件队列的管理。包含各种情况下的入队出队操作。
而同步器子类实现了tryAcquire和tryRelease方法来操作状态。来表示什么情况下能够直接获得锁而不须要进入AQS。什么情况下获取锁失败则须要进入AQS队列等待
聊聊高并发(二十八)解析java.util.concurrent各个组件(十) 理解ReentrantReadWriteLock可重入读-写锁的更多相关文章
- 聊聊高并发(二十)解析java.util.concurrent各个组件(二) 12个原子变量相关类
这篇说说java.util.concurrent.atomic包里的类,总共12个.网上有非常多文章解析这几个类.这里挑些重点说说. watermark/2/text/aHR0cDovL2Jsb2cu ...
- 谈论高并发(三十)解析java.util.concurrent各种组件(十二) 认识CyclicBarrier栅栏
这次谈话CyclicBarrier栅栏,如可以从它的名字可以看出,它是可重复使用. 它的功能和CountDownLatch类别似,也让一组线程等待,然后开始往下跑起来.但也有在两者之间有一些差别 1. ...
- 聊聊高并发(四十)解析java.util.concurrent各个组件(十六) ThreadPoolExecutor源代码分析
ThreadPoolExecutor是Executor运行框架最重要的一个实现类.提供了线程池管理和任务管理是两个最主要的能力.这篇通过分析ThreadPoolExecutor的源代码来看看怎样设计和 ...
- 聊聊高并发(二十九)解析java.util.concurrent各个组件(十一) 再看看ReentrantReadWriteLock可重入读-写锁
上一篇聊聊高并发(二十八)解析java.util.concurrent各个组件(十) 理解ReentrantReadWriteLock可重入读-写锁 讲了可重入读写锁的基本情况和基本的方法,显示了怎样 ...
- 聊聊高并发(二十五)解析java.util.concurrent各个组件(七) 理解Semaphore
前几篇分析了一下AQS的原理和实现.这篇拿Semaphore信号量做样例看看AQS实际是怎样使用的. Semaphore表示了一种能够同一时候有多个线程进入临界区的同步器,它维护了一个状态表示可用的票 ...
- 018-并发编程-java.util.concurrent.locks之-ReentrantReadWriteLock可重入读写锁
一.概述 ReentrantLock是一个排他锁,同一时间只允许一个线程访问,而ReentrantReadWriteLock允许多个读线程同时访问,但不允许写线程和读线程.写线程和写线程同时访问.相对 ...
- 聊聊高并发(三十八)解析java.util.concurrent各个组件(十四) 理解Executor接口的设计
JUC包中除了一系列的同步类之外,就是Executor运行框架相关的类.对于一个运行框架来说,能够分为两部分 1. 任务的提交 2. 任务的运行. 这是一个生产者消费者模式,提交任务的操作是生产者,运 ...
- 聊聊高并发(二十四)解析java.util.concurrent各个组件(六) 深入理解AQS(四)
近期总体过了下AQS的结构.也在网上看了一些讲AQS的文章,大部分的文章都是泛泛而谈.又一次看了下AQS的代码,把一些新的要点拿出来说一说. AQS是一个管程.提供了一个主要的同步器的能力,包括了一个 ...
- 聊聊高并发(四十四)解析java.util.concurrent各个组件(二十) Executors工厂类
Executor框架为了更方便使用,提供了Executors这个工厂类.通过一系列的静态工厂方法.能够高速地创建对应的Executor实例. 仅仅有一个nThreads參数的newFixedThrea ...
随机推荐
- 一个Web报表项目的性能分析和优化实践(一):小试牛刀,统一显示SQL语句执行时间
最近,在开发和优化一个报表型的Web项目,底层是Hibernate和MySQL. 当报表数据量大的时候,一个图表要花4秒以上的时间. 以下是我的分析和体会. 1.我首先需要知道哪些函数执行了多少时间 ...
- 【Codeforces Round #420 (Div. 2) C】Okabe and Boxes
[题目链接]:http://codeforces.com/contest/821/problem/C [题意] 给你2*n个操作; 包括把1..n中的某一个数压入栈顶,以及把栈顶元素弹出; 保证压入和 ...
- Spring Cloud分布式Session共享实践
通常情况下,Tomcat.Jetty等Servlet容器,会默认将Session保存在内存中.如果是单个服务器实例的应用,将Session保存在服务器内存中是一个非常好的方案.但是这种方案有一个缺点, ...
- 洛谷——P1970 花匠
https://www.luogu.org/problem/show?pid=1970 题目描述 花匠栋栋种了一排花,每株花都有自己的高度.花儿越长越大,也越来越挤.栋栋决定 把这排中的一部分花移走, ...
- Android 连接网络数据库的方式
以连接MS SQL(sqlserver数据库)的网络数据库为例,从当前搜集的资料来看,一共有两种方式:在Android工程中引入JDBC驱动,直接连接:通过WebService等方法的间接连接. 采用 ...
- Memcache启动&存储原理&集群
一. windows下安装启动 首先将memcache的bin文件夹增加到Path环境变量中.方便后面使用命令: 然后运行 memcached –dinstall 命令安装memcache的服务: 然 ...
- Hadoop2 伪分布式部署
一.简单介绍 二.安装部署 三.执行hadoop样例并測试部署环境 四.注意的地方 一.简单介绍 Hadoop是一个由Apache基金会所开发的分布式系统基础架构,Hadoop的框架最核心的设计就是: ...
- RvmTranslator6.6 - RVM to CATIA
RvmTranslator6.6 - RVM to CATIA eryar@163.com RvmTranslator can translate the RVM file exported by A ...
- sql阻塞进程查询
select A.SPID as 被阻塞进程,a.CMD AS 正在执行的操作,b.spid AS 阻塞进程号,b.cmd AS 阻塞进程正在执行的操作 from master..sysprocess ...
- 开源3D游戏引擎Irrlicht简介
Irrlicht简介 Irrlicht在国内也被叫做"鬼火"引擎,是一款用C++编写的开放源代码的高性能游戏引擎.而且是跨平台的,具有很好的移植性,Irrlicht支持OpenGl ...