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大纲
1.Redisson的分布式锁简单总结
2.Redisson的Semaphore简介
3.Redisson的Semaphore源码剖析
4.Redisson的CountDownLatch简介
5.Redisson的CountDownLatch源码剖析
1.Redisson的分布式锁简单总结
(1)可重入锁RedissonLock
(2)公平锁RedissonFairLock
(3)联锁MultiLock
(4)红锁RedLock
(5)读写锁之读锁RedissonReadLock和写锁RedissonWriteLock
Redisson分布式锁包括:可重入锁、公平锁、联锁、红锁、读写锁。
(1)可重入锁RedissonLock
非公平锁,最基础的分布式锁,最常用的锁。
(2)公平锁RedissonFairLock
各个客户端尝试获取锁时会排队,按照队列的顺序先后获取锁。
(3)联锁MultiLock
可以一次性加多把锁,从而实现一次性锁多个资源。
(4)红锁RedLock
RedLock相当于一把锁。虽然利用了MultiLock包裹了多个小锁,但这些小锁并不对应多个资源,而是每个小锁的key对应一个Redis实例。只要大多数的Redis实例加锁成功,就可以认为RedLock加锁成功。RedLock的健壮性要比其他普通锁要好。
但是RedLock也有一些场景无法保证正确性,当然RedLock只要求部署主库。比如客户端A尝试向5个Master实例加锁,但仅仅在3个Maste中加锁成功。不幸的是此时3个Master中有1个Master突然宕机了,而且锁key还没同步到该宕机Master的Slave上,此时Salve切换为Master。于是在这5个Master中,由于其中有一个是新切换过来的Master,所以只有2个Master是有客户端A加锁的数据,另外3个Master是没有锁的。但继续不幸的是,此时客户端B来加锁,那么客户端B就很有可能成功在没有锁数据的3个Master上加到锁,从而满足了过半数加锁的要求,最后也完成了加锁,依然发生重复加锁。
(5)读写锁之读锁RedissonReadLock和写锁RedissonWriteLock
不同客户端线程的四种加锁情况:
情况一:先加读锁再加读锁,不互斥
情况二:先加读锁再加写锁,互斥
情况三:先加写锁再加读锁,互斥
情况四:先加写锁再加写锁,互斥
同一个客户端线程的四种加锁情况:
情况一:先加读锁再加读锁,不互斥
情况二:先加读锁再加写锁,互斥
情况三:先加写锁再加读锁,不互斥
情况四:先加写锁再加写锁,不互斥
2.Redisson的Semaphore简介
(1)Redisson的Semaphore原理图
Semaphore也是Redisson支持的一种同步组件。Semaphore作为一个锁机制,可以允许多个线程同时获取一把锁。任何一个线程释放锁之后,其他等待的线程就可以尝试继续获取锁。
(2)Redisson的Semaphore使用演示
public class RedissonDemo { public static void main(String[] args) throws Exception { //连接3主3从的Redis CLuster Config config = new Config(); ... //Semaphore RedissonClient redisson = Redisson.create(config); final RSemaphore semaphore = redisson.getSemaphore("semaphore"); semaphore.trySetPermits(3); for (int i = 0; i < 10; i++) { new Thread(new Runnable() { public void run() { try { System.out.println(new Date() + ":线程[" + Thread.currentThread().getName() + "]尝试获取Semaphore锁"); semaphore.acquire(); System.out.println(new Date() + ":线程[" + Thread.currentThread().getName() + "]成功获取到了Semaphore锁,开始工作"); Thread.sleep(3000); semaphore.release(); System.out.println(new Date() + ":线程[" + Thread.currentThread().getName() + "]释放Semaphore锁"); } catch (Exception e) { e.printStackTrace(); } } }).start(); } }}
3.Redisson的Semaphore源码剖析
(1)Semaphore的初始化
(2)Semaphore设置允许获取的锁数量
(3)客户端尝试获取Semaphore的锁
(4)客户端释放Semaphore的锁
(1)Semaphore的初始化
public class Redisson implements RedissonClient { //Redis的连接管理器,封装了一个Config实例 protected final ConnectionManager connectionManager; //Redis的命令执行器,封装了一个ConnectionManager实例 protected final CommandAsyncExecutor commandExecutor; ... protected Redisson(Config config) { this.config = config; Config configCopy = new Config(config); //初始化Redis的连接管理器 connectionManager = ConfigSupport.createConnectionManager(configCopy); ... //初始化Redis的命令执行器 commandExecutor = new CommandSyncService(connectionManager, objectBuilder); ... } @Override public RSemaphore getSemaphore(String name) { return new RedissonSemaphore(commandExecutor, name); } ...}public class RedissonSemaphore extends RedissonExpirable implements RSemaphore { private final SemaphorePubSub semaphorePubSub; final CommandAsyncExecutor commandExecutor; public RedissonSemaphore(CommandAsyncExecutor commandExecutor, String name) { super(commandExecutor, name); this.commandExecutor = commandExecutor; this.semaphorePubSub = commandExecutor.getConnectionManager().getSubscribeService().getSemaphorePubSub(); } ...}(2)Semaphore设置允许获取的锁数量
public class RedissonSemaphore extends RedissonExpirable implements RSemaphore { ... @Override public boolean trySetPermits(int permits) { return get(trySetPermitsAsync(permits)); } @Override public RFuture<Boolean> trySetPermitsAsync(int permits) { RFuture<Boolean> future = commandExecutor.evalWriteAsync(getRawName(), LongCodec.INSTANCE, RedisCommands.EVAL_BOOLEAN, //执行命令"get semaphore",获取到当前的数值 "local value = redis.call('get', KEYS[1]); " + "if (value == false) then " + //然后执行命令"set semaphore 3" //设置这个信号量允许客户端同时获取锁的总数量为3 "redis.call('set', KEYS[1], ARGV[1]); " + "redis.call('publish', KEYS[2], ARGV[1]); " + "return 1;" + "end;" + "return 0;", Arrays.asList(getRawName(), getChannelName()), permits ); if (log.isDebugEnabled()) { future.onComplete((r, e) -> { if (r) { log.debug("permits set, permits: {}, name: {}", permits, getName()); } else { log.debug("unable to set permits, permits: {}, name: {}", permits, getName()); } }); } return future; } ...}首先执行命令"get semaphore",获取到当前的数值。然后执行命令"set semaphore 3",也就是设置这个信号量允许客户端同时获取锁的总数量为3。
(3)客户端尝试获取Semaphore的锁
public class RedissonSemaphore extends RedissonExpirable implements RSemaphore { ... private final SemaphorePubSub semaphorePubSub; final CommandAsyncExecutor commandExecutor; public RedissonSemaphore(CommandAsyncExecutor commandExecutor, String name) { super(commandExecutor, name); this.commandExecutor = commandExecutor; this.semaphorePubSub = commandExecutor.getConnectionManager().getSubscribeService().getSemaphorePubSub(); } @Override public void acquire() throws InterruptedException { acquire(1); } @Override public void acquire(int permits) throws InterruptedException { if (tryAcquire(permits)) { return; } CompletableFuture<RedissonLockEntry> future = subscribe(); commandExecutor.syncSubscriptionInterrupted(future); try { while (true) { if (tryAcquire(permits)) { return; } //获取Redisson的Semaphore失败,于是便调用本地JDK的Semaphore的acquire()方法,此时当前线程会被阻塞 //之后如果Redisson的Semaphore释放了锁,那么当前客户端便会通过监听订阅事件释放本地JDK的Semaphore,唤醒被阻塞的线程,继续执行while循环 //注意:getLatch()返回的是JDK的Semaphore = "new Semaphore(0)" ==> (state - permits) //首先调用CommandAsyncService.getNow()方法 //然后调用RedissonLockEntry.getLatch()方法 //接着调用JDK的Semaphore的acquire()方法 commandExecutor.getNow(future).getLatch().acquire(); } } finally { unsubscribe(commandExecutor.getNow(future)); } } @Override public boolean tryAcquire(int permits) { //异步转同步 return get(tryAcquireAsync(permits)); } @Override public RFuture<Boolean> tryAcquireAsync(int permits) { if (permits < 0) { throw new IllegalArgumentException("Permits amount can't be negative"); } if (permits == 0) { return RedissonPromise.newSucceededFuture(true); } return commandExecutor.evalWriteAsync(getRawName(), LongCodec.INSTANCE, RedisCommands.EVAL_BOOLEAN, //执行命令"get semaphore",获取到当前值 "local value = redis.call('get', KEYS[1]); "+ //如果semaphore的当前值不是false,且大于客户端线程申请获取锁的数量 "if (value ~= false and tonumber(value) >= tonumber(ARGV[1])) then " + //执行"decrby semaphore 1",将信号量允许获取锁的总数量递减1 "local val = redis.call('decrby', KEYS[1], ARGV[1]); " + "return 1; " + "end; " + //如果semaphore的值变为0,那么客户端就无法获取锁了,此时返回false "return 0;", Collections.<Object>singletonList(getRawName()), permits//ARGV[1]默认是1 ); } ...}public class CommandAsyncService implements CommandAsyncExecutor { ... @Override public <V> V getNow(CompletableFuture<V> future) { try { return future.getNow(null); } catch (Exception e) { return null; } } ...}public class RedissonLockEntry implements PubSubEntry<RedissonLockEntry> { private final Semaphore latch; ... public RedissonLockEntry(CompletableFuture<RedissonLockEntry> promise) { super(); this.latch = new Semaphore(0); this.promise = promise; } public Semaphore getLatch() { return latch; } ...}执行命令"get semaphore",获取到semaphore的当前值。如果semaphore的当前值不是false,且大于客户端线程申请获取锁的数量。那么就执行"decrby semaphore 1",将信号量允许获取锁的总数量递减1。
如果semaphore的值变为0,那么客户端就无法获取锁了,此时tryAcquire()方法返回false。表示获取semaphore的锁失败了,于是当前客户端线程便会通过本地JDK的Semaphore进行阻塞。
当客户端后续收到一个订阅事件把本地JDK的Semaphore进行释放后,便会唤醒阻塞线程继续while循环。在while循环中,会不断尝试获取这个semaphore的锁,如此循环往复,直到成功获取。
(4)客户端释放Semaphore的锁
public class RedissonSemaphore extends RedissonExpirable implements RSemaphore { ... @Override public void release() { release(1); } @Override public void release(int permits) { get(releaseAsync(permits)); } @Override public RFuture<Void> releaseAsync(int permits) { if (permits < 0) { throw new IllegalArgumentException("Permits amount can't be negative"); } if (permits == 0) { return RedissonPromise.newSucceededFuture(null); } RFuture<Void> future = commandExecutor.evalWriteAsync(getRawName(), StringCodec.INSTANCE, RedisCommands.EVAL_VOID, //执行命令"incrby semaphore 1" "local value = redis.call('incrby', KEYS[1], ARGV[1]); " + "redis.call('publish', KEYS[2], value); ", Arrays.asList(getRawName(), getChannelName()), permits ); if (log.isDebugEnabled()) { future.onComplete((o, e) -> { if (e == null) { log.debug("released, permits: {}, name: {}", permits, getName()); } }); } return future; } ...}//订阅semaphore不为0的事件,semaphore不为0时会触发执行这里的监听回调public class SemaphorePubSub extends PublishSubscribe<RedissonLockEntry> { public SemaphorePubSub(PublishSubscribeService service) { super(service); } @Override protected RedissonLockEntry createEntry(CompletableFuture<RedissonLockEntry> newPromise) { return new RedissonLockEntry(newPromise); } @Override protected void onMessage(RedissonLockEntry value, Long message) { Runnable runnableToExecute = value.getListeners().poll(); if (runnableToExecute != null) { runnableToExecute.run(); } //将客户端本地JDK的Semaphore进行释放 value.getLatch().release(Math.min(value.acquired(), message.intValue())); }}//订阅锁被释放的事件,锁被释放为0时会触发执行这里的监听回调public class LockPubSub extends PublishSubscribe<RedissonLockEntry> { public static final Long UNLOCK_MESSAGE = 0L; public static final Long READ_UNLOCK_MESSAGE = 1L; public LockPubSub(PublishSubscribeService service) { super(service); } @Override protected RedissonLockEntry createEntry(CompletableFuture<RedissonLockEntry> newPromise) { return new RedissonLockEntry(newPromise); } @Override protected void onMessage(RedissonLockEntry value, Long message) { if (message.equals(UNLOCK_MESSAGE)) { Runnable runnableToExecute = value.getListeners().poll(); if (runnableToExecute != null) { runnableToExecute.run(); } value.getLatch().release(); } else if (message.equals(READ_UNLOCK_MESSAGE)) { while (true) { Runnable runnableToExecute = value.getListeners().poll(); if (runnableToExecute == null) { break; } runnableToExecute.run(); } //将客户端本地JDK的Semaphore进行释放 value.getLatch().release(value.getLatch().getQueueLength()); } }}客户端释放Semaphore的锁时,会执行命令"incrby semaphore 1"。每当客户端释放掉permits个锁,就会将信号量的值累加permits,这样Semaphore信号量的值就不再是0了。然后通过publish命令发布一个事件,之后订阅了该事件的其他客户端都会对getLatch()返回的本地JDK的Semaphore进行加1。于是其他客户端正在被本地JDK的Semaphore进行阻塞的线程,就会被唤醒继续执行。此时其他客户端就可以尝试获取到这个信号量的锁,然后再次将这个Semaphore的值递减1。
4.Redisson的CountDownLatch简介
(1)Redisson的CountDownLatch原理图解
(2)Redisson的CountDownLatch使用演示
(1)Redisson的CountDownLatch原理图解
CountDownLatch的基本原理:要求必须有n个线程来进行countDown,才能让执行await的线程继续执行。如果没有达到指定数量的线程来countDown,会导致执行await的线程阻塞。
(2)Redisson的CountDownLatch使用演示
public class RedissonDemo { public static void main(String[] args) throws Exception { //连接3主3从的Redis CLuster Config config = new Config(); ... //CountDownLatch final RedissonClient redisson = Redisson.create(config); RCountDownLatch latch = redisson.getCountDownLatch("myCountDownLatch"); //1.设置可以countDown的数量为3 latch.trySetCount(3); System.out.println(new Date() + ":线程[" + Thread.currentThread().getName() + "]设置了必须有3个线程执行countDown,进入等待中。。。"); for (int i = 0; i < 3; i++) { new Thread(new Runnable() { public void run() { try { System.out.println(new Date() + ":线程[" + Thread.currentThread().getName() + "]在做一些操作,请耐心等待。。。。。。"); Thread.sleep(3000); RCountDownLatch localLatch = redisson.getCountDownLatch("myCountDownLatch"); localLatch.countDown(); System.out.println(new Date() + ":线程[" + Thread.currentThread().getName() + "]执行countDown操作"); } catch (Exception e) { e.printStackTrace(); } } }).start(); } latch.await(); System.out.println(new Date() + ":线程[" + Thread.currentThread().getName() + "]收到通知,有3个线程都执行了countDown操作,可以继续往下执行"); }}
5.Redisson的CountDownLatch源码剖析
(1)CountDownLatch的初始化
(2)trySetCount()方法设置countDown的数量
(3)awati()方法进行阻塞等待
(4)countDown()方法对countDown的数量递减
(1)CountDownLatch的初始化
public class Redisson implements RedissonClient { //Redis的连接管理器,封装了一个Config实例 protected final ConnectionManager connectionManager; //Redis的命令执行器,封装了一个ConnectionManager实例 protected final CommandAsyncExecutor commandExecutor; ... protected Redisson(Config config) { this.config = config; Config configCopy = new Config(config); //初始化Redis的连接管理器 connectionManager = ConfigSupport.createConnectionManager(configCopy); ... //初始化Redis的命令执行器 commandExecutor = new CommandSyncService(connectionManager, objectBuilder); ... } @Override public RCountDownLatch getCountDownLatch(String name) { return new RedissonCountDownLatch(commandExecutor, name); } ...}public class RedissonCountDownLatch extends RedissonObject implements RCountDownLatch { ... private final CountDownLatchPubSub pubSub; private final String id; protected RedissonCountDownLatch(CommandAsyncExecutor commandExecutor, String name) { super(commandExecutor, name); this.id = commandExecutor.getConnectionManager().getId(); this.pubSub = commandExecutor.getConnectionManager().getSubscribeService().getCountDownLatchPubSub(); } ...}(2)trySetCount()方法设置countDown的数量
trySetCount()方法的工作就是执行命令"set myCountDownLatch 3"。
public class RedissonCountDownLatch extends RedissonObject implements RCountDownLatch { ... @Override public boolean trySetCount(long count) { return get(trySetCountAsync(count)); } @Override public RFuture<Boolean> trySetCountAsync(long count) { return commandExecutor.evalWriteAsync(getRawName(), LongCodec.INSTANCE, RedisCommands.EVAL_BOOLEAN, "if redis.call('exists', KEYS[1]) == 0 then " + "redis.call('set', KEYS[1], ARGV[2]); " + "redis.call('publish', KEYS[2], ARGV[1]); " + "return 1 " + "else " + "return 0 " + "end", Arrays.asList(getRawName(), getChannelName()), CountDownLatchPubSub.NEW_COUNT_MESSAGE, count ); } ...}(3)awati()方法进行阻塞等待
public class RedissonCountDownLatch extends RedissonObject implements RCountDownLatch { ... @Override public void await() throws InterruptedException { if (getCount() == 0) { return; } CompletableFuture<RedissonCountDownLatchEntry> future = subscribe(); try { commandExecutor.syncSubscriptionInterrupted(future); while (getCount() > 0) { // waiting for open state //获取countDown的数量还大于0,就先阻塞线程,然后再等待唤醒,执行while循环 //其中getLatch()返回的是JDK的semaphore = "new Semaphore(0)" ==> (state - permits) commandExecutor.getNow(future).getLatch().await(); } } finally { unsubscribe(commandExecutor.getNow(future)); } } @Override public long getCount() { return get(getCountAsync()); } @Override public RFuture<Long> getCountAsync() { //执行命令"get myCountDownLatch" return commandExecutor.writeAsync(getRawName(), LongCodec.INSTANCE, RedisCommands.GET_LONG, getRawName()); } ...}在while循环中,首先会执行命令"get myCountDownLatch"去获取countDown值。如果该值不大于0,就退出循环不阻塞线程。如果该值大于0,则说明还没有指定数量的线程去执行countDown操作,于是就会先阻塞线程,然后再等待唤醒来继续循环。
(4)countDown()方法对countDown的数量递减
public class RedissonCountDownLatch extends RedissonObject implements RCountDownLatch { ... @Override public void countDown() { get(countDownAsync()); } @Override public RFuture<Void> countDownAsync() { return commandExecutor.evalWriteNoRetryAsync(getRawName(), LongCodec.INSTANCE, RedisCommands.EVAL_BOOLEAN, "local v = redis.call('decr', KEYS[1]);" + "if v <= 0 then redis.call('del', KEYS[1]) end;" + "if v == 0 then redis.call('publish', KEYS[2], ARGV[1]) end;", Arrays.<Object>asList(getRawName(), getChannelName()), CountDownLatchPubSub.ZERO_COUNT_MESSAGE ); } ...}countDownAsync()方法会执行decr命令,将countDown的数量进行递减1。如果这个值已经小于等于0,就执行del命令删除掉该CoutDownLatch。如果是这个值为0,还会发布一条消息:
publish redisson_countdownlatch__channel__{anyCountDownLatch} 0 |
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