redis分布式锁RedissonLock的实现细节解析

网友投稿 1235 2023-01-08

redis分布式锁RedissonLock的实现细节解析

redis分布式锁RedissonLock的实现细节解析

redis分布式锁RedissonLock

简单使用

String key = "key-lock";

RLock lock = redisson.getLock(key);

lock.lock();

try {

// TODO

} catch (Exception e){

log.error(e.getMessage(), e);

} finally {

lock.unlock();

}

String key = "key-tryLock";

long maxWaitTime = 3_000;

RLock lock = redisson.getLock(key);

if (lock.tryLock(maxWaitTime, TimeUnit.MILLISECONDS)){

try {

// TODO

} catch (Exception e){

log.error(e.getMessage(), e);

} finally {

lock.unlock();

}

} else {

log.debug("redis锁竞争失败");

}

流程图

多个线程节点锁竞争的正常流程如下图:

多个线程节点锁竞争,并出现节点下线的异常流程如下图:

源码解析

RedissonLock是可重入锁,使用redis的hash结构作为锁的标识存储,锁的名称作为hash的key,UUID + 线程ID作为hash的field,锁被重入的次数作为hash的value。如图所示:

private void lock(long leaseTime, TimeUnit unit, boolean interruptibly) throws InterruptedException {

long threadId = Thread.currentThread().getId();

// 尝试获取锁,锁获取成功则ttl为null;获取失败则返回锁的剩余过期时间

Long ttl = tryAcquire(leaseTime, unit, threadId);

if (ttl == null) {

return;

}

// 锁被其他线程占用而索取失败,使用线程通知而非自旋的方式等待锁

// 使用redis的发布订阅pub/sub功能来等待锁的释放通知

RFuture future = subscribe(threadId);

commandExecutor.syncSubscription(future);

try {

while (true) {

ttl = tryAcquire(leaseTime, unit, threadId);

// 尝试获取锁,锁获取成功则ttl为null;获取失败则返回锁的剩余过期时间

if (ttl == null) {

break;

}

if (ttl >= 0) {

// 使用LockSupport.parkNanos方法线程休眠

try {

getEntry(threadId).getLatch().tryAcquire(ttl, TimeUnit.MILLISECONDS);

} catch (InterruptedException e) {

if (interruptibly) {

throw e;

}

getEntry(threadId).getLatch().tryAcquire(ttl, TimeUnit.MILLISECONDS);

}

} else {

if (interruptibly) {

getEntry(threadId).getLatch().acquire();

} else {

getEntry(threadId).getLatch().acquireUninterruptibly();

}

}

}

} finally {

// 退出锁竞争(锁获取成功或者放弃获取锁),则取消锁的释放订阅

unsubscribe(future, threadId);

}

}

public boolean tryLock(long waitTime, long leaseTime, TimeUnit unit) throws InterruptedException {

long time = unit.toMillis(waitTime);

long current = System.currentTimeMillis();

long threadId = Thread.currentThread().getId();

Long ttl = tryAcquire(leaseTime, unit, threadId);

if (ttl == null) {

return true;

}

time -= System.currentTimeMillis() - current;

if (time <= 0) {

acquireFailed(threadId);

return false;

}

current = System.currentTimeMillis();

RFuture subscribeFuture = subscribe(threadId);

if (!await(subscribeFuture, time, TimeUnit.MILLISECONDS)) {

if (!subscribeFuture.cancel(false)) {

subscribeFuture.onComplete((res, e) -> {

if (e == null) {

unsubscribe(subscribeFuture, threadId);

}

});

}

acquireFailed(threadId);

return false;

}

try {

time -= System.currentTimeMillis() - current;

if (time <= 0) {

acquireFailed(threadId);

return false;

}

while (true) {

long currentTime = System.currentTimeMillis();

ttl = tryAcquire(leaseTime, unit, threadId);

// lock acquired

if (ttl == null) {

return true;

}

time -= System.currentTimeMillis() - currentTime;

if (time <= 0) {

acquireFailed(threadId);

return false;

}

currentTime = System.currentTimeMillis();

if (ttl >= 0 && ttl < time) {

getEntry(threadId).getLatch().tryAcquire(ttl, TimeUnit.MILLISECONDS);

} else {

getEntry(threadId).getLatch().tryAcquire(time, TimeUnit.MILLISECONDS);

}

time -= System.currentTimeMillis() - currentTime;

if (time <= 0) {

acquireFailed(threadId);

return false;

}

}

} finally {

unsubscribe(subscribeFuture, threadId);

}

}

RedissonLock实现的是可重入锁,通过redis的hash结构实现,而非加单的set nx ex。为了实现原子性的复杂的加锁逻辑,而通过lua脚本实现。获取锁会有如下三种状态:

1、锁未被任何线程占用,则锁获取成功,返回null

2、锁被当前线程占用,则锁获取成功并进行锁的重入,对锁的重入计数+1,返回null

3、锁被其他线程占用,则锁获取失败,返回该锁的自动过期时间ttl

RFuture tryLockInnerAsync(long leaseTime, TimeUnit unit, long threadId, RedisStrictCommand command) {

internalLockLeaseTime = unit.toMillis(leaseTime);

return commandExecutor.evalWriteAsync(getName(), LongCodec.INSTANCE, command,

"if (redis.call('exists', KEYS[1]) == 0) then " +

"redis.call('hset', KEYS[1], ARGV[2], 1); " +

"redis.call('pexpire', KEYS[1], ARGV[1]); " +

"return nil; " +

"end; " +

"if (redis.call('hexists', KEYS[1], ARGV[2]) == 1) then " +

"redis.call('hincrby', KEYS[1], ARGV[2], 1); " +

"redis.call('pexpire', KEYS[1], ARGV[1]); " +

"return nil; " +

"end; " +

"return redis.call('pttl', KEYS[1]);",

Collections.singletonList(getName()), internalLockLeaseTime, getLockName(threadId));

}

当锁因为被其他线程占用而 使用redis的发布订阅pub/sub功能,通过监听锁的释放通知(在其他线程通过RedissonLock释放锁时,会通过发布订阅pub/sub功能发起通知),等待锁被其他线程释放。通过如此的线程唤醒而非自旋的操作,提高了锁的效率。

public RFuture subscribe(String entryName, String channelName) {

AtomicReference listenerHolder = new AtomicReference();

AsyncSemaphore semaphore = service.getSemaphore(new ChannelName(channelName));

RPromise newPromise = new RedissonPromise() {

@Override

public boolean cancel(boolean mayInterruptIfRunning) {

return semaphore.remove(listenerHolder.get());

}

};

Runnable listener = new Runnable() {

@Override

public void run() {

E entry = entries.get(entryName);

if (entry != null) {

entry.aquire();

semaphore.release();

entry.getPromise().onComplete(new TransferListener(newPromise));

return;

}

E value = createEntry(newPromise);

value.aquire();

E oldValue = entries.putIfAbsent(entryName, value);

if (oldValue != null) {

oldValue.aquire();

semaphore.release();

oldValue.getPromise().onComplete(new TransferListener(newPromise));

return;

}

RedisPubSubListener listener = createListener(channelName, value);

service.subscribe(LongCodec.INSTANCE, channelName, semaphore, listener);

}

};

semaphore.acquire(listener);

listenerHolder.set(listener);

return newPromise;

}

由于是可重入锁则需要在释放锁的时候做订阅通知,因此释放锁的操作同样是lua脚本实现。锁的释放会有如下三个状态:

1、等待释放的锁不存在或者不是当前线程持有,返回null

2、等待释放的锁被当前线程持有,且该锁当前被重入多次,则锁的重入计数-1,返回0

3、等待释放的锁被当前线程持有,且该锁当前未被重入,则锁的删除并发布该锁释放的订阅通知,返回1

protected RFuture unlockInnerAsync(long threadId) {

return commandExecutor.evalWriteAsync(getName(), LongCodec.INSTANCE, RedisCommands.EVAL_BOOLEAN,

"if (redis.call('hexists', KEYS[1], ARGV[3]) == 0) then " +

"return nil;" +

"end; " +

"local counter = redis.call('hincrby', KEYS[1], ARGV[3], -1); " +

"if (counter > 0) then " +

"redis.call('pexpire', KEYS[1], ARGV[2]); " +

"return 0; " +

"else " +

"redis.call('del', KEYS[1]); " +

"redis.call('publish', KEYS[2], ARGV[1]); " +

"return 1; "+

"end; " +

"return nil;",

Arrays.asList(getName(), getChannelName()), LockPubSub.UNLOCK_MESSAGE, internalLockLeaseTime, getLockName(threadId));

}

Watchdog

RedissonLock为了避免应用获取锁后宕机,因为没人来释放锁而导致死锁情况的出现,默认每次锁的占用只有30秒的时间(org.redisson.config.Config#lockWatchdogTimeout = 30 * 1000)。

于是便有了Watchdog设计,由独立的线程定时给未释放的锁续期,默认锁有效期的三分之一的时长即每10秒给锁自动续期。

private void renewExpiration() {

ExpirationEntry ee = EXPIRATION_RENEWAL_MAP.get(getEntryName());

if (ee == null) {

return;

}

// 默认10秒钟后执行锁续期任务

Timeout task = commandExecutor.getConnectionManager().newTimeout(new TimerTask() {

@Override

public void run(Timeout timeout) throws Exception {

ExpirationEntry ent = EXPIRATION_RENEWAL_MAP.get(getEntryName());

if (ent == null) {

return;

}

Long threadId = ent.getFirstThreadId();

if (threadId == null) {

return;

}

RFuture future = renewExpirationAsync(threadId);

future.onComplete((res, e) -> {

if (e != null) {

log.error("Can't update lock " + getName() + " expiration", e);

return;

}

// 如果锁续期成功,则10秒钟后再次续期

if (res) {

renewExpiration();

}

});

}

}, internalLockLeaseTime / 3, TimeUnit.MILLISECONDS);

ee.setTimeout(task);

}

protected RFuture renewExpirationAsync(long threadId) {

return commandExecutor.evalWriteAsync(getName(), LongCodec.INSTANCE, RedisCommands.EVAL_BOOLEAN,

"if (redis.call('hexists', KEYS[1], ARGV[2]) == 1) then " +

"redis.call('pexpire', KEYS[1], ARGV[1]); " +

"return 1; " +

"end; " +

"return 0;",

Collections.singletonList(getName()),

internalLockLeaseTime, getLockName(threadId));

}

Redisson 几种锁

1. 可重入锁(Reentrant Lock)

Redisson的分布式可重入锁RLock java对象实现了java.util.concurrent.locks.Lock接口,同时还支持自动过期解锁。

public void testReentrantLock(RedissonClient redisson){

RLock lock = redisson.getLock("anyLock");

try{

// 1. 最常见的使用方法

//lock.lock();

// 2. 支持过期解锁功能,10秒钟以后自动解锁, 无需调用unlock方法手动解锁

//lock.lock(10, TimeUnit.SECONDS);

// 3. 尝试加锁,最多等待3秒,上锁以后10秒自动解锁

boolean res = lock.tryLock(3, 10, TimeUnit.SECONDS);

if(res){ //成功

// do your business

}

} catch (InterruptedException e) {

e.printStackTrace();

} finally {

lock.unlock();

}

}

Redisson同时还为分布式锁提供了异步执行的相关方法:

public void testAsyncReentrantLock(RedissonClient redisson){

RLock lock = redisson.getLock("anyLock");

try{

lock.lockAsync();

lock.lockAsync(10, TimeUnit.SECONDS);

Future res = lock.tryLockAsync(3, 10, TimeUnit.SECONDS);

if(res.get()){

// do your business

}

} catch (InterruptedException e) {

e.printStackTrace();

} catch (ExecutionException e) {

e.printStackTrace();

} finally {

lock.unlock();

}

}

2. 公平锁(Fair Lock)

Redisson分布式可重入公平锁也是实现了java.util.concurrent.locks.Lock接口的一种RLock对象。在提供了自动过期解锁功能的同时,保证了当多个Redisson客户端线程同时请求加锁时,优先分配给先发出请求的线程。

public void testFairLock(RedissonClient redisson){

RLock fairLock = redisson.getFairLock("anyLock");

try{

// 最常见的使用方法

fairLock.lock();

// 支持过期解锁功能, 10秒钟以后自动解锁,无需调用unlock方法手动解锁

fairLock.lock(10, TimeUnit.SECONDS);

// 尝试加锁,最多等待100秒,上锁以后10秒自动解锁

boolean res = fairLock.tryLock(100, 10, TimeUnit.SECONDS);

} catch (InterruptedException e) {

e.printStackTrace();

} finally {

fairLock.unlock();

}

}

Redisson同时还为分布式可重入公平锁提供了异步执行的相关方法:

RLock fairLock = redisson.getFairLock("anyLock");

fairLock.lockAsync();

fairLock.lockAsync(10, TimeUnit.SECONDS);

Future res = fairLock.tryLockAsync(100, 10, TimeUnit.SECONDS);

3. 联锁(MultiLock)

Redisson的RedissonMultiLock对象可以将多个RLock对象关联为一个联锁,每个RLock对象实例可以来自于不同的Redisson实例。

public void testMultiLock(RedissonClient redisson1,

RedissonClient redisson2, RedissonClient redisson3){

RLock lock1 = redisson1.getLock("lock1");

RLock lock2 = redisson2.getLock("lock2");

RLock lock3 = redisson3.getLock("lock3");

RedissonMultiLock lock = new RedissonMultiLock(lock1, lock2, lock3);

try {

// 同时加锁:lock1 lock2 lock3, 所有的锁都上锁成功才算成功。

lock.lock();

// 尝试加锁,最多等待100秒,上锁以后10秒自动解锁

boolean res = lock.tryLock(100, 10, TimeUnit.SECONDS);

} catch (InterruptedException e) {

e.printStackTrace();

} finally {

lock.unlock();

}

}

4. 红锁(RedLock)

Redisson的RedissonRedLock对象实现了Redlock介绍的加锁算法。该对象也可以用来将多个RLock

对象关联为一个红锁,每个RLock对象实例可以来自于不同的Redisson实例。

public void testRedLock(RedissonClient redisson1,

RedissonClient redisson2, RedissonClient redisson3){

RLock lock1 = redisson1.getLock("lock1");

RLock lock2 = redisson2.getLock("lock2");

RLock lock3 = redisson3.getLock("lock3");

RedissonRedLock lock = new RedissonRedLock(lock1, lock2, lock3);

try {

// 同时加锁:lock1 lock2 lock3, 红锁在大部分节点上加锁成功就算成功。

lock.lock();

// 尝试加锁,最多等待100秒,上锁以后10秒自动解锁

boolean res = lock.tryLock(100, 10, TimeUnit.SECONDS);

} catch (InterruptedException e) {

e.printStackTrace();

} finally {

lock.unlock();

}

}

5. 读写锁(ReadWriteLock)

Redisson的分布式可重入读写锁RReadWriteLock Java对象实现了java.util.concurrent.locks.ReadWriteLock接口。同时还支持自动过期解锁。该对象允许同时有多个读取锁,但是最多只能有一个写入锁。

RReadWriteLock rwlock = redisson.getLock("anyRWLock");

// 最常见的使用方法

rwlock.readLock().lock();

// 或

rwlock.writeLock().lock();

// 支持过期解锁功能

// 10秒钟以后自动解锁

// 无需调用unlock方法手动解锁

rwlock.readLock().lock(10, TimeUnit.SECONDS);

// 或

rwlock.writeLock().lock(10, TimeUnit.SECONDS);

// 尝试加锁,最多等待100秒,上锁以后10秒自动解锁

boolean res = rwlock.readLock().tryLock(100, 10, TimeUnit.SECONDS);

// 或

boolean res = rwlock.writeLock().tryLock(100, 10, TimeUnit.SECONDS);

...

lock.unlock();

6. 信号量(Semaphore)

Redisson的分布式信号量(Semaphore)Java对象RSemaphore采用了与java.util.concurrent.Semaphore相似的接口和用法。

RSemaphore semaphore = redisson.getSemaphore("semaphore");

semaphore.acquire();

//或

semaphore.acquireAsync();

semaphore.acquire(23);

semaphore.tryAcquire();

//或

semaphore.tryAcquireAsync();

semaphore.tryAcquire(23, TimeUnit.SECONDS);

//或

semaphore.tryAcquireAsync(23, TimeUnit.SECONDS);

semaphore.release(10);

semaphore.release();

//或

semaphore.releaseAsync();

7. 可过期性信号量(PermitExpirableSemaphore)

Redisson的可过期性信号量(PermitExpirableSemaphore)实在RSemaphore对象的基础上,为每个信号增加了一个过期时间。每个信号可以通过独立的ID来辨识,释放时只能通过提交这个ID才能释放。

RPermitExpirableSemaphore semaphore = redisson.getPermitExpirableSemaphore("mySemaphore");

String permitId = semaphore.acquire();

// 获取一个信号,有效期只有2秒钟。

String permitId = semaphore.acquire(2, TimeUnit.SECONDS);

// ...

semaphore.release(permitId);

8. 闭锁(CountDownLatch)

Redisson的分布式闭锁(CountDownLatch)Java对象RCountDownLatch采用了与java.util.concurrent.CountDownLatch相似的接口和用法。

版权声明:本文内容由网络用户投稿,版权归原作者所有,本站不拥有其著作权,亦不承担相应法律责任。如果您发现本站中有涉嫌抄袭或描述失实的内容,请联系我们jiasou666@gmail.com 处理,核实后本网站将在24小时内删除侵权内容。

上一篇:小程序生态是健康的(小程序 生态)
下一篇:企业app开发制作加盟(企业app开发制作加盟骗局)
相关文章

 发表评论

暂时没有评论,来抢沙发吧~