Fundamentals 3 min read

Master Distributed Locks with Zookeeper: A Step‑by‑Step Guide

Learn how to implement distributed locks using Zookeeper by creating a root node, generating sequential child nodes for lock acquisition, monitoring predecessor nodes, and releasing locks through node deletion, ensuring consistency across multiple servers in a distributed environment.

Java High-Performance Architecture
Java High-Performance Architecture
Java High-Performance Architecture
Master Distributed Locks with Zookeeper: A Step‑by‑Step Guide

In distributed systems, when multiple hosts share a resource, mutual exclusion is required to prevent interference and maintain consistency; this is achieved with a distributed lock.

Idea

Use Zookeeper to implement a simple distributed lock.

Preparation

Create a root node (e.g., Locks ) in Zookeeper for all client lock operations.

Lock Acquisition Process

Each client creates an incrementally numbered child node under Locks , receiving a sequence number that acts as a queue position. The client with the smallest number obtains the lock.

If a client’s number is not the smallest, it watches the node with the immediate smaller number; when that node disappears, the client becomes the smallest and acquires the lock.

Lock Release Process

The client releases the lock by deleting its own node; the next node in the queue receives a notification and can acquire the lock.

For example, when client A deletes its node node1 , client B, which was watching node1 , is notified that it now holds the smallest sequence number and can obtain the lock.

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Synchronization
Java High-Performance Architecture
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Java High-Performance Architecture

Sharing Java development articles and resources, including SSM architecture and the Spring ecosystem (Spring Boot, Spring Cloud, MyBatis, Dubbo, Docker), Zookeeper, Redis, architecture design, microservices, message queues, Git, etc.

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