redis多实例分布式锁：Python实现redlock分布式锁算法代码示例

桃扇骨 2023-09-27 20:12 133阅读 0赞

Redlock是一种分布式锁算法，它可以在多个Redis实例之间协调锁。Redlock算法的基本思想是，使用多个Redis实例来协调锁，以确保在任何情况下都不会出现死锁或竞争条件。Redlock算法的实现比较复杂，需要考虑多个因素，例如时钟漂移、网络延迟等。如果您想了解更多关于Redlock算法的信息，可以参考以下链接：

以下是一个使用Redlock算法实现分布式锁的Python代码示例：

import redis
    import time
    
    class Redlock(object):
        def __init__(self, connection_list, retry_times=3, retry_delay=200):
            self.servers = []
            for connection in connection_list:
                self.servers.append(redis.StrictRedis(host=connection["host"], port=connection["port"], db=connection["db"]))
            self.quorum = len(self.servers) // 2 + 1
            self.retry_times = retry_times
            self.retry_delay = retry_delay
    
        def lock(self, resource, ttl):
            retry = self.retry_times
            while retry > 0:
                n = 0
                start_time = time.time() * 1000
                for server in self.servers:
                    if server.set(resource, 1, nx=True, px=ttl):
                        n += 1
                elapsed_time = time.time() * 1000 - start_time
                validity = ttl - elapsed_time - 2
                if n >= self.quorum and validity > 0:
                    return validity
                else:
                    for server in self.servers:
                        server.delete(resource)
                    retry -= 1
                    time.sleep(self.retry_delay / 1000)
            return False
    
        def unlock(self, resource):
            for server in self.servers:
                server.delete(resource)
    
    # Example usage:
    redlock = Redlock([{
        "host": "localhost", "port": 6379, "db": 0}], retry_times=3, retry_delay=200)
    validity = redlock.lock("my_resource", 10000)
    if validity:
        print("Lock acquired")
        # Do something here...
        redlock.unlock("my_resource")
    else:
        print("Failed to acquire lock")