1、docker中添加redis镜像

lxd@lxd:~$ docker pull redis

2、启动redis

lxd@lxd:~$ docker run -p 6379:6379 -d redis

3、redis桌面工具连接测试

image.png

4、新建springboot项目，引入相关依赖

 <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
            <version>2.1.2</version>
        </dependency>
        <dependency>
            <groupId>redis.clients</groupId>
            <artifactId>jedis</artifactId>
            <version>2.7.3</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <scope>compile</scope>
        </dependency>

5、配置yml

spring:
  datasource:
    username: root
    password: 123456
    url: jdbc:mysql://192.168.0.113:3306/jdbc
    driver-class-name: com.mysql.cj.jdbc.Driver
  redis:
    host: 192.168.0.136
    port: 6379
    password:
    timeout: 3600ms #超时时间
    jedis:
      pool:
        max-active: 8 #最大连接数
        max-idle: 8 #最大空闲连接 默认8
        max-wait: -1ms #默认-1 最大连接阻塞等待时间
        min-idle: 0 #最小空闲连接

6、编写redis配置类

@Configuration
public class RedisConfig {
    @Bean
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        // 配置连接工厂
        template.setConnectionFactory(factory);
        //使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值（默认使用JDK的序列化方式）
        Jackson2JsonRedisSerializer jacksonSeial = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper om = new ObjectMapper();
        // 指定要序列化的域，field,get和set,以及修饰符范围，ANY是都有包括private和public
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        // 指定序列化输入的类型，类必须是非final修饰的，final修饰的类，比如String,Integer等会跑出异常
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jacksonSeial.setObjectMapper(om);
        // 值采用json序列化
        template.setValueSerializer(jacksonSeial);
        //使用StringRedisSerializer来序列化和反序列化redis的key值
        template.setKeySerializer(new StringRedisSerializer());
        // 设置hash key 和value序列化模式
        template.setHashKeySerializer(new StringRedisSerializer());
        template.setHashValueSerializer(jacksonSeial);
        template.afterPropertiesSet();
        return template;
    }

    @Bean
    public CacheManager cacheManager(RedisConnectionFactory redisConnectionFactory) {
// 生成一个默认配置，通过config对象即可对缓存进行自定义配置
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig();
        config = config.entryTtl(Duration.ofMinutes(1))     // 设置缓存的默认过期时间，也是使用Duration设置
                .disableCachingNullValues();     // 不缓存空值
        // 设置一个初始化的缓存空间set集合
        Set<String> cacheNames = new HashSet<>();
        cacheNames.add("timeGroup");
        cacheNames.add("user");
        // 对每个缓存空间应用不同的配置
        Map<String, RedisCacheConfiguration> configMap = new HashMap<>();
        configMap.put("timeGroup", config);
        configMap.put("user", config.entryTtl(Duration.ofSeconds(120)));
        RedisCacheManager cacheManager = RedisCacheManager.builder(redisConnectionFactory)// 使用自定义的缓存配置初始化一个cacheManager
                .initialCacheNames(cacheNames)  // 注意这两句的调用顺序，一定要先调用该方法设置初始化的缓存名，再初始化相关的配置
                .withInitialCacheConfigurations(configMap)
                .build();
        return cacheManager;
    }
}

测试

 @Test
    public void test1() {
        ValueOperations vo = redisTemplate.opsForValue();
        vo.set("data", "data");
        Employee employee = new Employee();
        employee.setdId(1);
        employee.setLastName("测试");
        vo.set("emp", employee);
    }

查看

image.png

成功！