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SpringBoot编写RedisConfig

小目标青年 人气:2

编写RedisConfig首先我们要明白RedisConfig中需要包含什么,首先看看我们直接使用RedisTemplate的问题,我们就知道RedisConfig要包含什么了,我们在RedisConfig需要规定好根据不同的查询生成的key,key和value的序列化和反序列化

我们在RedisConfig中配置的自定义方法,最终通过注解引用的就是我们自定义的方法

RedisConfig.java   :     

对redis提供的两个Template的序列化配置

/**
 * @Author: JCccc
 * @CreateTime: 2018-09-11
 * @Description:
 */
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.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
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.core.StringRedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
 
@Configuration
@EnableCaching
public class RedisConfig {
           @Bean
        public CacheManager cacheManager(RedisConnectionFactory connectionFactory) {
            RedisCacheConfiguration cacheConfiguration =
                    defaultCacheConfig()
                            .disableCachingNullValues()
                            .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(new Jackson2JsonRedisSerializer(Object.class)));
            return RedisCacheManager.builder(connectionFactory).cacheDefaults(cacheConfiguration).build();
 
//            RedisCacheManager rcm=RedisCacheManager.create(connectionFactory);
//
//            return rcm;
 
        }
 
 
        @Bean
        public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {
            RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
            redisTemplate.setConnectionFactory(factory);
            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);
            //序列化设置 ,这样为了存储操作对象时正常显示的数据,也能正常存储和获取
            redisTemplate.setKeySerializer(new StringRedisSerializer());
            redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
            redisTemplate.setHashKeySerializer(new StringRedisSerializer());
            redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
            return redisTemplate;
        }
    @Bean
    public StringRedisTemplate stringRedisTemplate(RedisConnectionFactory factory) {
        StringRedisTemplate stringRedisTemplate = new StringRedisTemplate();
        stringRedisTemplate.setConnectionFactory(factory);
        return stringRedisTemplate;
    }
 
 
 
}

补充

redisconfig配置与使用

配置类:

@Configuration   // 定义一个配置类
public class RedisConfig {
    //object object

    /*
    * 用于redisApi
    * */
    @Bean
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate<Object, Object> template = new RedisTemplate();
        template.setConnectionFactory(redisConnectionFactory);
        // 使用JSON格式序列化对象,对缓存数据key和value进行转换
        Jackson2JsonRedisSerializer jacksonSeial = 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);
        jacksonSeial.setObjectMapper(om);

        // 设置RedisTemplate模板API的序列化方式为JSON
        template.setDefaultSerializer(jacksonSeial);
        return template;
    }
 }

使用方式:

1. 业务类中进行注入:

@Autowired
RedisTemplate redisTemplate;

2. 使用redisTemplate的内置方法:

2.1 获取redis中的数据

Object object = redisTemplate.opsForValue().get("course_" + id);

2.2 插入数据

redisTemplate.opsForValue().set("course_" + id, course, 1, TimeUnit.DAYS);

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