SpringBoot整合RedisTemplate如何实现缓存信息监控

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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 Configuration  redis:     pool:       max-idle: 10      min-idle: 5      max-total: 20    hostName: 127.0.0.1    port: 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 = (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 = 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{    @Autowired    private 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