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Redisson - Valkey & Redis Java Client | Real-Time Data Platform
Redisson is a robust, distributed, and reliable Java framework offering a comprehensive set of data structures and services for working with Valkey and Redis. It simplifies the development of real-time data platforms and distributed applications by providing familiar Java interfaces backed by Redis/Valkey.
Java
Added on 2025年6月11日23,843
Stars5,449
ForksJava
LanguageProject Introduction
Summary
Redisson is a leading open-source Java client for Valkey and Redis. It goes beyond basic client functionality by implementing over 50 distributed Java objects and services, effectively turning Redis/Valkey into a distributed in-memory data grid and real-time data platform accessible via standard Java collections and interfaces.
Problem Solved
Building robust, scalable distributed applications with Redis/Valkey in Java often involves complex handling of data structures, concurrency, and reliability. Redisson abstracts these complexities, providing high-level, thread-safe, and feature-rich distributed objects and services that are easy to use.
Core Features
Rich Distributed Objects Collection
Provides over 50 distributed Java objects (Map, Set, List, Queue, etc.) based on Valkey and Redis.
Multiple API Styles
Offers synchronous, asynchronous, RxJava, and Reactive stream APIs for flexible programming models.
Distributed Locks & Synchronizers
Includes implementations for distributed locks, semaphores, countdown latches, and other synchronizers.
Caching Integrations
Integrates with caching frameworks like JCache, Spring Cache, and supports local caching.
Tech Stack
Java
Valkey
Redis
使用场景
Redisson's extensive features make it suitable for a wide range of use cases in distributed environments leveraging Valkey or Redis:
分布式缓存与Session共享
Details
Utilize Redisson's distributed Map and caching integrations (like JCache) to implement high-performance distributed caches across multiple application instances.
User Value
Significantly improves application response times and allows state sharing between cluster nodes.
分布式锁与并发控制
Details
Employ distributed locks (RLock), semaphores (RSemaphore), and other synchronizers to manage concurrent access to shared resources in a distributed system.
User Value
Ensures data consistency and prevents race conditions in multi-instance applications.
消息队列与事件驱动
Details
Use RQueue, RTopic, RBatchOptions, etc., for reliable message queuing and publish/subscribe patterns between different services or components.
User Value
Enables decoupled, scalable communication architectures.
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