Spring Cache缓存组件,提供了类似@Transactional注解事务的注解Cache支持,且提供了Cache等抽象,方便切换各种底层Cache(比如Redis)
一、添加依赖
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-data-redisartifactId>
dependency>
<dependency>
<groupId>org.apache.commonsgroupId>
<artifactId>commons-pool2artifactId>
dependency>
二、Redis配置类
@Configuration
@EnableCaching
public class RedisConfig{
/**
自定义key规则
*/
@Bean
public KeyGenerator keyGenerator(){
return new KeyGenerator(){
@Override
public Object generate(Object target,Method method,Object... params){
StringBuilder sb = new StringBuilder();
sb.append(target.getClass().getName());
sb.append(method.getName());
for(Object obj:params){
sb.append(obj.toString());
}
return sb.toString();
}
}
}
/**
设置redisTemplate规则
*/
@Bean
public RedisTemplate<Object,Object> redisTemplate(RedisConnectionFactory redisConnectionFactory){
RedisTemplate<Object,Object> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(redisConnectionFactory);
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
//解决查询缓存转换异常的问题
ObjectMapper om = new ObjectMapper();
//指定要序列化的域
om.setVisibility(PropertyAccessor.ALL,JsonAutoDetect.Visibility.ANY);
om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(om);
//序列号key value
redisTemplate.setKeySerializer(new StringRedisSerializer());
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer());
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
/**
设置CacheManager缓存规则
*/
@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();
//指定要序列化的域
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;
}
}
三、添加配置(application.properties)
spring.redis.host=192.168.44.165
spring.redis.port=6379
spring.redis.database=0
spring.redis.timeout=1800000
spring.redis.lettuce.pool.max-active=20
spring.redis.lettuce.pool.max-wait=-1
spring.redis.lettuce.pool.max-idle=5
spring.redis.lettuce.pool.min-idle=0
服务器中通过命令启动redis
cd /usr/local/bin
./redis-server /etc/redis.conf
ps -ef | grep redis #查看是否启动成功
# 进入客户端,操作redis
./redis-cli
四、使用注解操作
①、@Cacheable 根据方法对其返回结果进行缓存,下次请求时,如果缓存存在,则直接读取缓存数据
如果缓存不存在,则执行方法,并把返回结果放入缓存,一般用在查询方法上
value 缓存名,必填,制定了缓存存放在哪块命名空间
cacheNames与value差不多,二选一即可
key 可选属性,使用SpEL标签自定义缓存的key
/**
ServiceImpl实现类上的方法中
*/
@Cacheable(value="dict",keyGenerator="keyGenerator")//根据类名、包名生成的key,key前缀为dict
@Override
public List<Dict> findByParantId(Long parentId){
List<Dict> dictList = dictMapper.selectList(new QueryWrapper<Dict>().eq("parent_id",parentId));
dictList.stream().forEach(dict -> {
boolean isHasChildren = this.isHasChildren(dict.getId());
dict.setHasChileren(isHasChildren);
});
return dictList;
}
②、@CachePut使用该注解标志的方法,每次都会执行,并将结果存入指定缓存中
其他方法可以直接从相应的缓存中读取数据,而不需要查询数据库,一般用在新增方法上
value 缓存名,必填,制定了缓存存放在哪块命名空间
cacheNames与value差不多,二选一即可
key 可选属性,使用SpEL标签自定义缓存的key
③、@CacheEvict 清空缓存中的内容,一般用在更新或删除方法上
value 缓存名,必填,制定了缓存存放在哪块命名空间
cacheNames与value差不多,二选一即可
key 可选属性,使用SpEL标签自定义缓存的key
@CacheEvict(value="dict",allEntries=true) //方法调用后,清空所有缓存
@Override
public void importData(MultipartFile file){
ExcelHelper fileHelper = new ExcelHelper(DictEeVo.class);
List<DictEeVo> dictVoList = fileHelper.importExcel(file);
if(!CollectionUtils.isEmpty(dictVoList)){
dictMapper.imsertBatch(dictVoList);
}
}