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5.5 KiB
5.5 KiB
一、POM
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
二、使用注解
- 配置redis
//开启基于注解的配置
@EnableCaching
@Configuration
public class RedisConfig {
/**
* redis数据库自定义key的命名空间
*/
public static final String REDIS_DATABASE_KEY="tmall_springboot";
public static final String REDIS_CATEGORY_KEY="category";
public static final String REDIS_ORDER_ITEM_KEY="orderItem";
public static final String REDIS_ORDER_KEY="order";
public static final String REDIS_PRODUCT_KEY="product";
public static final String REDIS_PROPERTY_KEY="property";
public static final String REDIS_PROPERTY_VALUE_KEY="propertyValue";
public static final String REDIS_REVIEW_KEY="review";
public static final String REDIS_USER_KEY="user";
public static final String REDIS_PRODUCT_IMAGE_KEY="productImage";
/**
* 自动配置的redisTemplate,存在序列化问题,会导致存入redis数据库中的数据,不容易看清所以需要自己配置
*/
/**
* 配置自定义redisTemplate
* @return
*/
@Bean
RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory,RedisSerializer redisSerializer) {
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(redisConnectionFactory);
// 设置键(key)的序列化采用StringRedisSerializer。
redisTemplate.setKeySerializer(new StringRedisSerializer());
// 设置值(value)的序列化采用Jackson2JsonRedisSerializer。
redisTemplate.setValueSerializer(redisSerializer);
// 设置hashKey的序列化
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(redisSerializer);
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
/**
* 配置json序列化器(我们使用jackson的序列化器)
*/
@Bean
public RedisSerializer redisSerializer(){
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
return jackson2JsonRedisSerializer;
}
/**
* 配置redis缓存管理器,管理注解版的缓存
*/
@Bean
public RedisCacheManager redisCacheManager(RedisConnectionFactory redisConnectionFactory,RedisSerializer redisSerializer) {
RedisCacheWriter redisCacheWriter = RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory);
//设置Redis缓存有效期为10分钟
RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig()
.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
//ttl
.entryTtl(Duration.ofHours(2));
return new RedisCacheManager(redisCacheWriter, redisCacheConfiguration);
}
}
- @Cacheable 先从redis数据库中 按照当前key查找,有没有。如果redis中有,是不会走当前该方法的,如果没有再调用方法返回结果,如果结果不为null将其缓存到数据库中(一般用于find)
@Cacheable(value = RedisConfig.REDIS_DATABASE_KEY, key = "'user-'+#p0", unless = "#result==null")
@Override
public User getUserByName(String name) {
UserExample example = new UserExample();
example.createCriteria().andNameEqualTo(name);
List<User> users = userMapper.selectByExample(example);
if(users.size()==0){
return null;
}
return users.get(0);
}
value:key的一部分(前缀),主要是指明数据放在那个key范围 key:key的主体,#p0:指明取出第一个参数 #p1:指明取出第二个参数。。。依此类推 unless:结果为true,将当前的数据结果不保存到redis,#result:指明取出数据库中返回的结果 condition 结果如果为true,将当前数据保存到redis
- @CachePut 主要用于向数据库中插入数据,向数据中插入数据的时候,会将返回的int类型,放入redis中缓存,当然是有选择性的(一般用于insert)
@CachePut(value = RedisConfig.REDIS_DATABASE_KEY,key = "'user-insert-'+#p0.id",unless = "#result==0")
@Override
public int insert(User record) {
return userMapper.insert(record);
}
value:key的一部分,命名空间 key:指定key的名称 unless:满足条件,则不将返回的结果放入redis condition: 满足条件,则将返回的结果放入redis
- @CacheEvict 满足条件则移除当前key在redis中的数据(一般用于update/delete)
@CacheEvict(value = RedisConfig.REDIS_DATABASE_KEY,key = "'user-'+#p0.id",condition = "#result==1")
@Override
public int updateByPrimaryKey(User record) {
return userMapper.updateByPrimaryKey(record);
}
value: 同理命名空间 key: key名称 condition:满足什么条件从缓存中移除指定的key AllEntries:true/false 是否移除命名空间下的所有key
三、硬编码
使用StringRedisTemplate