Spring Boot 整合 Redis 步骤详解-编程实验室

文章目录

1. 引言
2. 添加依赖
3. 配置 Redis 连接信息
4. 创建 Redis 操作服务类
5. 使用 RedisTemplate 或 ReactiveRedisTemplate
6. 测试 Redis 功能
7. 注意事项
8. 总结

Redis 是一个高性能的键值存储系统，常用于缓存、消息队列等多种场景。将 Redis 与 Spring Boot 结合使用可以极大提升应用的性能和响应速度。本文将详细介绍如何在 Spring Boot 应用中整合 Redis，并通过示例代码展示具体实现步骤。

1. 引言

随着互联网应用对快速读写数据的需求日益增长，传统的数据库已经难以满足某些特定场景下的性能要求。Redis 凭借其内存级的数据访问速度、丰富的数据结构支持以及简单易用的 API，成为了许多开发者的首选。接下来，我们将一步步介绍如何在 Spring Boot 中集成 Redis。

2. 添加依赖

首先，在 pom.xml 文件中添加 Spring Data Redis 和 Jedis（或 Lettuce）客户端的 Maven 依赖：

<dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> <!-- Spring Boot Starter for Redis --> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.83</version> </dependency> <!-- Jedis or Lettuce client --> <!-- Choose one of the following two dependencies --> <!-- For Jedis --> <dependency> <groupId>redis.clients</groupId> <artifactId>jedis</artifactId> </dependency> <!-- Or for Lettuce --> <dependency> <groupId>io.lettuce</groupId> <artifactId>lettuce-core</artifactId> </dependency> </dependencies>

3. 配置 Redis 连接信息

接下来，在 application.properties 或 application.yml 文件中配置 Redis 的连接参数。这里以 .yml 文件为例：

server: port: 8082 spring: data: redis: host: localhost port: 6379 password: 123456

4. 创建 Redis 操作服务类

Java实体

import lombok.AllArgsConstructor; import lombok.Data; import lombok.NoArgsConstructor; /** * @Description * @Author HaleyHu * @Date 2024/12/5 23:41 */ @Data @NoArgsConstructor @AllArgsConstructor public class User { private Long id; private String username; private int age; }

用户接口类

import org.hbin.redis.entity.User; /** * @Description * @Author HaleyHu * @Date 2024/12/5 23:44 */ public interface UserService { User query(Long id); Boolean expired(Long id); }

接口实现类

import com.alibaba.fastjson.JSON; import lombok.RequiredArgsConstructor; import org.hbin.redis.entity.User; import org.hbin.redis.service.UserService; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.stereotype.Service; /** * @Description * @Author HaleyHu * @Date 2024/12/5 23:46 */ @Service @RequiredArgsConstructor public class UserServiceImpl implements UserService { private final RedisTemplate<String, String> redisTemplate; private final String REDIS_PREFIX_KEY = "User::"; @Override public User query(Long id) { Object obj = redisTemplate.opsForValue().get("User::" + id); if(obj != null) { return JSON.parseObject(obj.toString(), User.class); } // 模拟从DB查询 User user = new User(id, "user" + id, 20); redisTemplate.opsForValue().set(REDIS_PREFIX_KEY + id, JSON.toJSONString(user)); return user; } @Override public Boolean expired(Long id) { return redisTemplate.delete(REDIS_PREFIX_KEY + id); } }

Controller代码

import lombok.RequiredArgsConstructor; import org.hbin.redis.entity.User; import org.hbin.redis.service.UserService; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; /** * @Description * @Author HaleyHu * @Date 2024/12/5 23:46 */ @RequiredArgsConstructor @RestController public class UserController { private final UserService userService; @GetMapping("/query") public User query(@RequestParam Long id) { return userService.query(id); } @GetMapping("/expired") public String expired(@RequestParam Long id) { return userService.expired(id).toString(); } }

如果你想处理更复杂的数据类型（如对象），则需要使用 RedisTemplate 并配置序列化器。例如，使用 Jackson JSON 序列化器：

import com.fasterxml.jackson.databind.ObjectMapper; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.data.redis.connection.RedisConnectionFactory; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.StringRedisSerializer; @Configuration public class RedisConfig { @Bean public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) { RedisTemplate<String, Object> template = new RedisTemplate<>(); template.setConnectionFactory(factory); Jackson2JsonRedisSerializer<Object> serializer = new Jackson2JsonRedisSerializer<>(Object.class); ObjectMapper objectMapper = new ObjectMapper(); serializer.setObjectMapper(objectMapper); template.setValueSerializer(serializer); template.setKeySerializer(new StringRedisSerializer()); template.setHashKeySerializer(new StringRedisSerializer()); template.setHashValueSerializer(serializer); template.afterPropertiesSet(); return template; } }