---

1、引入redis相关依赖

<!-- redis的启动器 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

<!-- spring2.X集成redis所需common-pool2-->
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
<version>2.6.0</version>
</dependency>

---

2、application.properties配置redis配置

只需要修改第一行的Redis服务器的ip地址，即自己的Linux主机的ip地址

#Redis服务器地址
spring.redis.host=192.168.140.136
#Redis服务器连接端口
spring.redis.port=6379
#Redis数据库索引（默认为0）
spring.redis.database= 0
#连接超时时间（毫秒）
spring.redis.timeout=1800000
#连接池最大连接数（使用负值表示没有限制）
spring.redis.lettuce.pool.max-active=20
#最大阻塞等待时间(负数表示没限制)
spring.redis.lettuce.pool.max-wait=-1
#连接池中的最大空闲连接
spring.redis.lettuce.pool.max-idle=5
#连接池中的最小空闲连接
spring.redis.lettuce.pool.min-idle=0

---

3.添加redis配置类

基本是固定写法，不需要做什么修改

package com.config;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
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.RedisSerializationContext;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

import java.time.Duration;

@EnableCaching
@Configuration
public class RedisConfig extends CachingConfigurerSupport {

    @Bean
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        RedisSerializer<String> redisSerializer = new StringRedisSerializer();
        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);
        template.setConnectionFactory(factory);
//key序列化方式
        template.setKeySerializer(redisSerializer);
//value序列化
        template.setValueSerializer(jackson2JsonRedisSerializer);
//value hashmap序列化
        template.setHashValueSerializer(jackson2JsonRedisSerializer);
        return template;
    }

    @Bean
    public CacheManager cacheManager(RedisConnectionFactory factory) {
        RedisSerializer<String> redisSerializer = new StringRedisSerializer();
        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
//解决查询缓存转换异常的问题
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);
// 配置序列化（解决乱码的问题）,过期时间600秒
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
                .entryTtl(Duration.ofSeconds(600))
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                .disableCachingNullValues();
        RedisCacheManager cacheManager = RedisCacheManager.builder(factory)
                .cacheDefaults(config)
                .build();
        return cacheManager;
    }
}

---

4.测试一下

@RestController
@RequestMapping("/redisTest")
public class RedisTestController {
    @Autowired
    private RedisTemplate redisTemplate;

    @GetMapping
    public String testRedis() {
        //设置值到redis
        redisTemplate.opsForValue().set("name", "lucy");
        //从redis获取值
        String name = (String) redisTemplate.opsForValue().get("name");
        return name;
    }
}

---

RedisTemplate基本使用如下

redisTemplate.opsForValue();//操作字符串
redisTemplate.opsForHash();//操作hash
redisTemplate.opsForList();//操作list
redisTemplate.opsForSet();//操作set
redisTemplate.opsForZSet();//操作有序set

        //添加一个 key 
        ValueOperations<String, Object> value = redisTemplate.opsForValue();
        value.set("lp", "hello word");
        //获取 这个 key 的值
        System.out.println(value.get("lp"));
        //添加 一个 hash集合
        HashOperations<String, Object, Object>  hash = redisTemplate.opsForHash();
        Map<String,Object> map = new HashMap<String,Object>();
        map.put("name", "lp");
        map.put("age", "26");
        hash.putAll("lpMap", map);
        //获取 map
        System.out.println(hash.entries("lpMap"));
        //添加 一个 list 列表
        ListOperations<String, Object> list = redisTemplate.opsForList();
        list.rightPush("lpList", "lp");
        list.rightPush("lpList", "26");
        //输出 list
        System.out.println(list.range("lpList", 0, 1));
        //添加 一个 set 集合
        SetOperations<String, Object> set = redisTemplate.opsForSet();
        set.add("lpSet", "lp");
        set.add("lpSet", "26");
        set.add("lpSet", "178cm");
        //输出 set 集合
        System.out.println(set.members("lpSet"));
        //添加有序的 set 集合
        ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
        zset.add("lpZset", "lp", 0);
        zset.add("lpZset", "26", 1);
        zset.add("lpZset", "178cm", 2);
        //输出有序 set 集合
        System.out.println(zset.rangeByScore("lpZset", 0, 2));