From e27564e45d55346dafd50e2ee77740abe2982670 Mon Sep 17 00:00:00 2001 From: deipss Date: Sat, 7 Oct 2023 00:23:23 -0300 Subject: [PATCH] redission --- docs/Database/Redis.md | 62 +++++- docs/Database/Redission.md | 300 ++++++++++++++++++++++++++++++ docs/Database/img/distribute.png | Bin 0 -> 68476 bytes docs/Database/img/distribute2.png | Bin 0 -> 82818 bytes docs/Database/img/lock.png | Bin 0 -> 139721 bytes docs/Database/img/redis.png | Bin 0 -> 180398 bytes docs/Database/img/transaction.png | Bin 0 -> 71386 bytes 7 files changed, 360 insertions(+), 2 deletions(-) create mode 100644 docs/Database/Redission.md create mode 100644 docs/Database/img/distribute.png create mode 100644 docs/Database/img/distribute2.png create mode 100644 docs/Database/img/lock.png create mode 100644 docs/Database/img/redis.png create mode 100644 docs/Database/img/transaction.png diff --git a/docs/Database/Redis.md b/docs/Database/Redis.md index 8302219..d8f5633 100644 --- a/docs/Database/Redis.md +++ b/docs/Database/Redis.md @@ -104,6 +104,7 @@ redis会单独创建(fork)一个子进程来进行持久化,会将数据 - hsetnx # 缓存问题 + - https://cloud.tencent.com/developer/article/1525256 ## 穿透 @@ -113,7 +114,7 @@ redis会单独创建(fork)一个子进程来进行持久化,会将数据 ### 应对方法 - 入口加判断,如非法的参数拦截 -- 将这类请求作为key,缓存起来 +- 将这类请求作为key,缓存起来,可以设置TTL时间 - 使用布隆过滤器,判断一个key是否已经查过了,如果已经查过了,就不去数据库查询。 ## 击穿 @@ -121,6 +122,7 @@ redis会单独创建(fork)一个子进程来进行持久化,会将数据 某个key,在特定时刻被大规模访问,过期后,后续的流量全部落到了DB上。 - 对于热点数据,慎重考虑过期时间,确保热点期间key不会过期,甚至有些可以设置永不过期。 +- 基于逻辑过期应对击穿问题,写入redis时,不指定过期时间,在数据中添加过期时间,以数据中过期时间为准 - 使用互斥锁(比如Java的多线程锁机制),第一个线程访问key的时候就锁住,等查询数据库返回后,把值插入到缓存后再释放锁,这样后面的请求就可以直接取缓存里面的数据了。 ### 应对方法 @@ -145,4 +147,60 @@ Web 服务器、第三方 API 或任何其他可以返回数据的东西。 2. 数据库由于巨大的 CPU 峰值发生崩溃,并导致超时错误。 3. 收到超时错误后,所有的线程都会发起重试,从而导致另一次踩踏。 4. 这个循环不断持续。 - - https://www.infoq.cn/article/Bb2YC0yHVSz4qVwdgZmO \ No newline at end of file + - https://www.infoq.cn/article/Bb2YC0yHVSz4qVwdgZmO + +# 应用场景 + +- session 短信登陆 +- 商品信息缓存 +- 优惠秒杀:计时器、LUA脚本、分布式锁、redis消息队列 +- 附近的商户:GeoHash +- UV统计:HyperLogLog +- 用户签到、圈选:BitMAP +- 好友关注:Set 交集、差集 +- 达人探店:SortSet的点赞排行榜 + +# 问题讨论 + +## 删除缓存还是更新缓存 + +- ~~更新缓存~~:每次更新数据库时都更新缓存,无效写过多 +- 删除缓存:让缓存失效,查询时再重新加载新的信息到缓存中 + +## 缓存与DB一致性 + +- 单体系统:放在同一事务中 +- 分布式系统:使用TCC分布式事务 + +## 先操作缓存,还是先操作DB + +- 先删除缓存,再删除DB,并发时(一个线程查询、一个线程删除)会存在不一致的情况 +- 先删除DB,再删除缓存,并发时(一个线程查询、一个线程删除)会存在不一致的情况,但比前者的概率低,因为DB的时间比缓存的操作时间长 + +## 乐观锁应对库存超卖问题 + +- 用户A读取出是100件,更新库存时添加查询条件 **where quantity=100** + +## 一人一单(单机) + +- 因为要insert,所以要使用悲观锁来应对这个问题 +- 这个悲观锁可以使用UserID,如 + +```shell +synchronized(userId.toString().intern) +``` + +- 悲观锁的释放应该在事务的提交后,不然事务未提交锁已释放,第2个线程读取的未提交事务前的数据,即第1个线程读取的数据 +- 注意事务失效的情况 + +![transaction.png](img%2Ftransaction.png) + +## 一人单(集群) + +NX是互斥,EX是超时 + +- SET lock UUID EX 10 NX +- 锁超时自动释放后,他人获取了锁,自己释放锁时,判断UUID是不是自己的,不是自己的就不释放,避免删除他人持有的锁 +- 自己释放锁时,判断UUID是自己的,释放锁前,阻塞了(JVM FGC),此时锁超时自动释放,他人获取了锁,还是会导致误删 + +> 判断锁和释放锁需要是原子性的,可以通过LUA脚本来处理 \ No newline at end of file diff --git a/docs/Database/Redission.md b/docs/Database/Redission.md new file mode 100644 index 0000000..aed08d0 --- /dev/null +++ b/docs/Database/Redission.md @@ -0,0 +1,300 @@ +--- +layout: default +title: Redission +parent: Database +--- + +# 分布式锁需要优化的问题 +- 不可重入:同一个线程,依次执行两个方法都要获取同一把分布式锁,需要可重入锁 +- 不可重试:获取锁只尝试一次就返回false,缺少重试机制 +- 超时释放:业务执行时间长,导致锁释放,存在安全隐患 +- 主从一致性:主从集群,数据同步存在时延,主机宕机,从机还没有完成同步锁数据 + + +![lock.png](img%2Flock.png) + +# 可重入锁 +- 判断持有锁是不是自己 +- 是自己将上锁次数+1 +- 释放锁一次,上锁次数-1 +- 释放锁两次,上锁次数-1,为0,释放锁 + +利用HASH结构记录线程ID和重入次数 + +```shell +org.redisson.RedissonLock#tryLockInnerAsync + + RFuture tryLockInnerAsync(long leaseTime, TimeUnit unit, long threadId, RedisStrictCommand command) { + internalLockLeaseTime = unit.toMillis(leaseTime); + + return evalWriteAsync(getName(), LongCodec.INSTANCE, command, + "if (redis.call('exists', KEYS[1]) == 0) then " + + "redis.call('hincrby', 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)); + } + + org.redisson.RedissonLock#unlockInnerAsync + + protected RFuture unlockInnerAsync(long threadId) { + return 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)); + } +``` + +# 锁重试 + +```shell +org.redisson.RedissonLock#tryLock(long, long, java.util.concurrent.TimeUnit) +不是单一的死循环,而是通过消息订阅和信号量的方式来节省资源,收到消息或信号量,才去重试获取锁 +@Override + 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); + // lock acquired + if (ttl == null) { + return true; + } + + time -= System.currentTimeMillis() - current; + if (time <= 0) { + acquireFailed(threadId); + return false; + } + + current = System.currentTimeMillis(); + RFuture subscribeFuture = subscribe(threadId); // 订阅一个通知,这个通知就是锁释放时的通知 "redis.call('publish', KEYS[2], ARGV[1]); " + if (!subscribeFuture.await(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; + } + + // waiting for message + currentTime = System.currentTimeMillis(); + if (ttl >= 0 && ttl < time) { + subscribeFuture.getNow().getLatch().tryAcquire(ttl, TimeUnit.MILLISECONDS); + } else { + subscribeFuture.getNow().getLatch().tryAcquire(time, TimeUnit.MILLISECONDS); + } + + time -= System.currentTimeMillis() - currentTime; + if (time <= 0) { + acquireFailed(threadId); + return false; + } + } + } finally { + unsubscribe(subscribeFuture, threadId); + } +// return get(tryLockAsync(waitTime, leaseTime, unit)); + } +``` + +# 锁超时 +- 获取锁之后,利用watchDog定时任务去续约 +```shell +org.redisson.RedissonLock#tryAcquireAsync +org.redisson.RedissonLock#scheduleExpirationRenewal +org.redisson.RedissonLock#renewExpiration +org.redisson.RedissonLock#scheduleExpirationRenewal +private void renewExpiration() { + ExpirationEntry ee = EXPIRATION_RENEWAL_MAP.get(getEntryName()); + if (ee == null) { + return; + } + + 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; + } + + if (res) { + // reschedule itself + renewExpiration();// 递归调用自身,会不断的续约,什么时候取消续约。在锁释放时 cancelExpirationRenewal(threadId); + } + }); + } + }, internalLockLeaseTime / 3, TimeUnit.MILLISECONDS); + + ee.setTimeout(task); + } + +private void scheduleExpirationRenewal(long threadId) { + ExpirationEntry entry = new ExpirationEntry(); + ExpirationEntry oldEntry = EXPIRATION_RENEWAL_MAP.putIfAbsent(getEntryName(), entry);// 续约时,锁的可重入 + if (oldEntry != null) { + oldEntry.addThreadId(threadId); + } else { + entry.addThreadId(threadId); + renewExpiration(); + } + } +``` + +# 主从一致性 +如下图所示:主节点宕机后,数据同步没有完成,导致新的主节点没有同步原主节点的数据,来上锁时,别的JVM上锁成功了。 +![distribute2.png](img%2Fdistribute2.png) +所以不使用主从的形式来管理集群,使用同等节点的方式 **redissonClient.getMultiLock()** +![distribute.png](img%2Fdistribute.png) +- 所有节点要全部上锁 +- 一个失败,其他要全部释放 +- 全部上锁后,要续约一次,使首次上锁与末次上锁的释放时间保持一致 +- + +```shell +@Override +org.redisson.RedissonMultiLock#tryLock(long, long, java.util.concurrent.TimeUnit) + public boolean tryLock(long waitTime, long leaseTime, TimeUnit unit) throws InterruptedException { +// try { +// return tryLockAsync(waitTime, leaseTime, unit).get(); +// } catch (ExecutionException e) { +// throw new IllegalStateException(e); +// } + long newLeaseTime = -1; + if (leaseTime != -1) { + if (waitTime == -1) { + newLeaseTime = unit.toMillis(leaseTime); + } else { + newLeaseTime = unit.toMillis(waitTime)*2; + } + } + + long time = System.currentTimeMillis(); + long remainTime = -1; + if (waitTime != -1) { + remainTime = unit.toMillis(waitTime); + } + long lockWaitTime = calcLockWaitTime(remainTime); + + int failedLocksLimit = failedLocksLimit(); + List acquiredLocks = new ArrayList<>(locks.size()); + for (ListIterator iterator = locks.listIterator(); iterator.hasNext();) { + RLock lock = iterator.next(); + boolean lockAcquired; + try { + if (waitTime == -1 && leaseTime == -1) { + lockAcquired = lock.tryLock(); + } else { + long awaitTime = Math.min(lockWaitTime, remainTime); + lockAcquired = lock.tryLock(awaitTime, newLeaseTime, TimeUnit.MILLISECONDS); + } + } catch (RedisResponseTimeoutException e) { + unlockInner(Arrays.asList(lock)); + lockAcquired = false; + } catch (Exception e) { + lockAcquired = false; + } + + if (lockAcquired) { + acquiredLocks.add(lock); + } else { + if (locks.size() - acquiredLocks.size() == failedLocksLimit()) { + break; + } + + if (failedLocksLimit == 0) { + unlockInner(acquiredLocks); + if (waitTime == -1) { + return false; + } + failedLocksLimit = failedLocksLimit(); + acquiredLocks.clear(); + // reset iterator + while (iterator.hasPrevious()) { + iterator.previous(); + } + } else { + failedLocksLimit--; + } + } + + if (remainTime != -1) { + remainTime -= System.currentTimeMillis() - time; + time = System.currentTimeMillis(); + if (remainTime <= 0) { + unlockInner(acquiredLocks); + return false; + } + } + } + + if (leaseTime != -1) { + List> futures = new ArrayList<>(acquiredLocks.size()); + for (RLock rLock : acquiredLocks) { + RFuture future = ((RedissonLock) rLock).expireAsync(unit.toMillis(leaseTime), TimeUnit.MILLISECONDS); + futures.add(future); + } + + for (RFuture rFuture : 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