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Redlock is a safe and liveness-guaranteed algorithm to implement distributed locks with Redis. It uses multiple Redis instances and a random value to avoid race conditions and deadlocks.
Redlock is designed to use ioredis to keep its client connections and handle the cluster protocols. A redlock object is instantiated with an array of at least one redis client and an optional options object. Properties of the Redlock object should NOT be changed after it is first used, as doing so could have unintended consequences for live locks.
红锁RedLock是一种分布式锁的算法，通过在多个Redis实例上同时获取锁来提高可用性和安全性。本文介绍了红锁的工作流程、特性、基本使用和实现原理，并给出了Java代码示例。
Learn about Redis Lock, a technique to coordinate access to shared resources in a distributed system. Explore basic and advanced locking mechanisms, challenges and best practices in Redis.
RedLock.net is a library that uses StackExchange.Redis to implement the Redlock distributed lock algorithm. It allows you to lock resources across multiple independent or replicated Redis instances with high availability and performance.
A critical analysis of the Redlock algorithm for implementing fault-tolerant distributed locks on top of Redis. The author argues that Redlock is not suitable for correctness-critical locking, and explains the challenges and pitfalls of distributed locking in general.
RedLock is a Python library that implements the RedLock algorithm for distributed locking with multiple Redis masters. Learn how to use RedLock with basic usage, with statement, context manager and RedLockFactory examples.
As a standalone job, the deletion sets a Redlock to avoid multiple instances deleting the same items. The result is an efficient cleanup of all notifications and a robust, issue-free service ...
Learn how to use Redlock algorithm with Redis to implement a distributed lock for concurrency control in Python. Compare different versions of Redlock and their pros and cons.
Redlock. This is a node.js implementation of the redlock algorithm for distributed redis locks. It provides strong guarantees in both single-redis and multi-redis environments, and provides fault tolerance through use of multiple independent redis instances or clusters.