Author: Zen and the Art of Computer Programming
1 Introduction
With the popularity of Internet applications, website functions becoming more and more complex, and data volume growing faster, insufficient performance of a single server has become an unavoidable problem. In order to cope with this challenge, many companies have begun to adopt distributed caching solutions, such as Redis. This article will introduce in detail how to integrate Redis in a Spring Boot project and use it as a caching service.
Redis is an open source advanced key-value storage database that supports multiple types of data structures, such as strings, hashes, lists, sets, ordered sets, etc. It provides a memory protection mechanism that can effectively prevent cache breakdown and avalanche effects. If your application requires cache access and has high reliability requirements, then Redis is a good choice. This article assumes that readers have mastered the relevant knowledge of SpringBoot and have basic Java development capabilities.
2. Explanation of basic concepts and terms
（1）Redis
Redis is a high-performance in-memory database that supports multiple data types, such as String, Hash, List, Set, and Sorted Set. Redis supports data persistence and can save data in memory to disk and load it when restarting. The main advantages of Redis include:
1. High performance: Redis uses pure memory, with a response time of more than 100K requests per second. Redis can support high concurrency scenarios;
2. Rich data types: Redis supports five data types: String (string ), Hash (hash), List (list), Set (collection), Sorted Set (sorted set), supporting a very rich data structure; 3. Key-value model: Redis uses the
key-value model to store data, all data All are stored in memory and indexed by key;