SpringBoot 整合 Redis 数据库实现数据缓存的本质是整合 Redis 数据库，通过对需要“缓存”的数据存入 Redis 数据库中，下次使用时先从 Redis 中获取，Redis 中没有再从数据库中获取，这样就实现了 Redis 做数据缓存。 ??
按照惯例，下面一步一步的实现 Springboot 整合 Redis 来存储数据，读取数据。
1.项目添加依赖首页第一步还是在项目添加 Redis 的环境， Jedis。

org.springframework.boot spring-boot-starter-data-redis redis.clients jedis

2. 添加redis的参数

spring: ### Redis Configurationredis: pool: max-idle: 10min-idle: 5max-total: 20hostName: 127.0.0.1port: 6379

3.编写一个 RedisConfig 注册到 Spring 容器

package com.config; import org.springframework.boot.context.properties.ConfigurationProperties; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.data.redis.connection.jedis.JedisConnectionFactory; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.serializer.StringRedisSerializer; import redis.clients.jedis.JedisPoolConfig; /** * 描述：Redis 配置类 */@Configurationpublic class RedisConfig { /*** 1.创建 JedisPoolConfig 对象。在该对象中完成一些连接池的配置*/ @Bean @ConfigurationProperties(prefix="spring.redis.pool") public JedisPoolConfig jedisPoolConfig() {JedisPoolConfig jedisPoolConfig = new JedisPoolConfig(); return jedisPoolConfig; } /*** 2.创建 JedisConnectionFactory：配置 redis 连接信息*/ @Bean @ConfigurationProperties(prefix="spring.redis") public JedisConnectionFactory jedisConnectionFactory(JedisPoolConfig jedisPoolConfig) {JedisConnectionFactory jedisConnectionFactory = new JedisConnectionFactory(jedisPoolConfig); return jedisConnectionFactory; } /*** 3.创建 RedisTemplate:用于执行 Redis 操作的方法*/ @Bean public RedisTemplate redisTemplate(JedisConnectionFactory jedisConnectionFactory) {RedisTemplate redisTemplate = new RedisTemplate<>(); // 关联redisTemplate.setConnectionFactory(jedisConnectionFactory); // 为 key 设置序列化器redisTemplate.setKeySerializer(new StringRedisSerializer()); // 为 value 设置序列化器redisTemplate.setValueSerializer(new StringRedisSerializer()); return redisTemplate; }}

4.使用redisTemplate

package com.controller; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.JdkSerializationRedisSerializer; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RestController; import com.bean.Users; /*** @Description 整合 Redis 测试Controller* @version V1.0*/@RestControllerpublic class RedisController { @Autowired private RedisTemplate redisTemplate; @RequestMapping("/redishandle") public String redishandle() {//添加字符串redisTemplate.opsForValue().set("author", "欧阳"); //获取字符串String value = https://www.it610.com/article/(String)redisTemplate.opsForValue().get("author"); System.out.println("author = " + value); //添加对象//重新设置序列化器redisTemplate.setValueSerializer(new JdkSerializationRedisSerializer()); redisTemplate.opsForValue().set("users", new Users("1" , "张三")); //获取对象//重新设置序列化器redisTemplate.setValueSerializer(new JdkSerializationRedisSerializer()); Users user = (Users)redisTemplate.opsForValue().get("users"); System.out.println(user); //以json格式存储对象//重新设置序列化器redisTemplate.setValueSerializer(new Jackson2JsonRedisSerializer<>(Users.class)); redisTemplate.opsForValue().set("usersJson", new Users("2" , "李四")); //以json格式获取对象//重新设置序列化器redisTemplate.setValueSerializer(new Jackson2JsonRedisSerializer<>(Users.class)); user = (Users)redisTemplate.opsForValue().get("usersJson"); System.out.println(user); return "home"; }}

5.项目实战中redisTemplate的使用

/** * */package com.shiwen.lujing.service.impl; import java.util.List; import java.util.concurrent.TimeUnit; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Qualifier; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.ValueOperations; import org.springframework.stereotype.Service; import com.fasterxml.jackson.core.JsonProcessingException; import com.fasterxml.jackson.databind.ObjectMapper; import com.shiwen.lujing.dao.mapper.WellAreaDao; import com.shiwen.lujing.service.WellAreaService; import com.shiwen.lujing.util.RedisConstants; /** * @author zhangkai * */@Servicepublic class WellAreaServiceImpl implements WellAreaService { @Autowired private WellAreaDao wellAreaDao; @Autowired private RedisTemplate stringRedisTemplate; /** (non-Javadoc)* * @see com.shiwen.lujing.service.WellAreaService#getAll()*/ @Override public String getAll() throws JsonProcessingException {//redis中key是字符串ValueOperations opsForValue = https://www.it610.com/article/stringRedisTemplate.opsForValue(); //通过key获取redis中的数据String wellArea = opsForValue.get(RedisConstants.REDIS_KEY_WELL_AREA); //如果没有去查数据库if (wellArea == null) {List wellAreaList = wellAreaDao.getAll(); wellArea = new ObjectMapper().writeValueAsString(wellAreaList); //将查出来的数据存储在redis中opsForValue.set(RedisConstants.REDIS_KEY_WELL_AREA, wellArea, RedisConstants.REDIS_TIMEOUT_1, TimeUnit.DAYS); // set(K key, V value, long timeout, TimeUnit unit)//timeout:过期时间；unit:时间单位//使用：redisTemplate.opsForValue().set("name","tom",10, TimeUnit.SECONDS); //redisTemplate.opsForValue().get("name")由于设置的是10秒失效，十秒之内查询有结//果，十秒之后返回为null }return wellArea; }}

6.redis中使用的key

package com.shiwen.lujing.util; /** * redis 相关常量 * * */public interface RedisConstants { /*** 井首字*/ String REDIS_KEY_JING_SHOU_ZI = "JING-SHOU-ZI"; /*** 井区块*/ String REDIS_KEY_WELL_AREA = "WELL-AREA"; /*** */ long REDIS_TIMEOUT_1 = 1L; }

补充：SpringBoot整合RedisTemplate实现缓存信息监控
1、CacheController接口代码

@RestController@RequestMapping("/monitor/cache")public class CacheController{@Autowiredprivate RedisTemplate redisTemplate; @PreAuthorize("@ss.hasPermi('monitor:cache:list')")// 自定义权限注解@GetMapping()public AjaxResult getInfo() throws Exception{// 获取redis缓存完整信息//Properties info = redisTemplate.getRequiredConnectionFactory().getConnection().info(); Properties info = (Properties) redisTemplate.execute((RedisCallback