Distributed locks coordinate access to shared resources across multiple processes by ensuring mutual exclusion. The guide covers common implementation pitfalls like single points of failure, missing TTLs, and lack of fencing tokens. It examines various solutions including RDBMS advisory locks, Redis simple locks, Redlock algorithm, ZooKeeper ephemeral sequential nodes, and etcd's Raft-based approach. Each method has different trade-offs in consistency, performance, and complexity. Fencing tokens are crucial for preventing stale lock holders from corrupting state after timeouts. The choice of locking mechanism should match the required safety guarantees and system constraints.
Table of contents
Implementing Distributed Locks CorrectlyThe Challenge of Distributed CoordinationCommon Pitfalls in Distributed LockingCorrect and Safe Implementation ApproachesRDBMS LocksRedis Simple LockRedlockZooKeeper Locketcd LockFencing Tokens: Ensuring CorrectnessOther MethodsConclusionSort: