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
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
@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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