Redlock:全名叫做RedisDistributed Lock;即使用redis实现的分布式锁;使用场景:多个服务间保证同一时刻同一时间段内同一用户只能有一个请求(防止关键业务出现并发攻击);官网文档地址如下:https://redis.io/topics/distlock这个锁的算法实现了多redis实例的情况,相对于单redis节点来说,优点在于 防止了
Redis有一系列的命令,特点是以NX结尾,NX是Not eXists的缩写,如SETNX命令就应该理解为:SET if Not eXists。这系列的命令非常有用,这里讲使用SETNX来实现分布式锁。 用SETNX实现分布式锁利用SETNX非常简单地实现分布式锁。例如:某客户端要获得一个名字foo的锁,客户端使用下面的命令进行获取:SETNXlock.foo ...
Distributed lock implementation In a distributed scenario, locks in a stand-alone environment cannot be used to synchronize processes on multiple nodes. You can use the SETNX command that comes with Redis to implement distributed locks. In addition, you can also use the official RedLock distributed ...
getName()); } public static void main(String[] args){ for (int i = 0; i < 3; i++) { Thread t = new Thread(new Runnable() { @Override public void run() { try { String key = "test123"; DistributedRedisLock.acquire(key); Thread.sleep(1000); //获得锁之后可以进行相应的处理...
Read-Through implements the principle of separation of concerns. The code only interacts with the cache, and the cache component manages the data synchronization between itself and the database. 2.3 Write-Through synchronous write-through Similar to Read-Through, when a write request occurs, Write-...
Implementations can vary and all might have some limitations and caveats but in principle grant quite confident control while maintaining critical features of a distributed lock: Safety property: Mutual exclusion. At any given moment, only one client can hold a lock. Liveness ...
Separation of concern principle: Each component has been given a particular role. The role of the components is mutually exclusive. This makes the project easy to be unit tested. Feature encapsulation: The files or components that are related to a particular feature have been grouped unless those...
基于ZooKeeper的分布式锁。一、可靠性首先,为了确保分布式锁可用,我们至少要确保锁的实现同时满足以下四个条件: 1)互斥性。在任意时刻,只有一个客户端能持有锁。 2)不会发生死锁。即使有一个客户端在持有锁的期间崩溃而没有主动解锁,也能保证后续其他客户端能加锁。 3)具有容错性。只要大部分的Redis节点 分布式锁...