springcache
1.结合caffeine
导包
<dependency>
<groupId>com.github.ben-manes.caffeine</groupId>
<artifactId>caffeine</artifactId>
<version>2.9.3</version>
</dependency>
配置
//本地进程
@EnableCaching
@Configuration
public class CacheConfig extends CachingConfigurerSupport {
@Bean
public CacheManager cacheManager() {
CaffeineCacheManager cacheManager = new CaffeineCacheManager();
cacheManager.setCaffeine(Caffeine.newBuilder()
.expireAfterWrite(10, TimeUnit.MINUTES)
.initialCapacity(100)
.maximumSize(10_000))
// 如果缓存种没有对应的value，通过createExpensiveGraph方法同步加载 buildAsync是异步加载
//.build(key -> createExpensiveGraph(key))
;
return cacheManager;
}
}
2.结合redis
导包
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
配置文件
cache:
type: redis
配置manager
@EnableCaching
@EnableConfigurationProperties(CacheProperties.class)
@Configuration
public class RedisCacheConfig {
/**
* 自定义 RedisCacheManager
* <p>
* 修改 Redis 序列化方式，默认 JdkSerializationRedisSerializer
*
* @param redisConnectionFactory {@link RedisConnectionFactory}
* @param cacheProperties {@link CacheProperties}
* @return {@link RedisCacheManager}
*/
@Bean
public RedisCacheManager redisCacheManager(RedisConnectionFactory redisConnectionFactory, CacheProperties cacheProperties){
return RedisCacheManager.builder(RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory))
.cacheDefaults(redisCacheConfiguration(cacheProperties))
.build();
}
/**
* 自定义 RedisCacheConfiguration
*
* @param cacheProperties {@link CacheProperties}
* @return {@link RedisCacheConfiguration}
*/
@Bean
RedisCacheConfiguration redisCacheConfiguration(CacheProperties cacheProperties) {
RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig();
config = config.serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(RedisSerializer.string()));
config = config.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(RedisSerializer.json()));
CacheProperties.Redis redisProperties = cacheProperties.getRedis();
if (redisProperties.getTimeToLive() != null) {
config = config.entryTtl(redisProperties.getTimeToLive());
}
if (!redisProperties.isCacheNullValues()) {
config = config.disableCachingNullValues();
}
if (!redisProperties.isUseKeyPrefix()) {
config = config.disableKeyPrefix();
}
config = config.computePrefixWith(name -> name + ":");
// 覆盖默认key双冒号 CacheKeyPrefix#prefixed
return config;
}
}
tpye只能指定一种方式,不能实现多级缓存
注解的使用
添加到方法上 当传参相同时,不会重复执行代码类的逻辑
@Component
public class springcache {
@Autowired
UserService userService;
@Cacheable(cacheNames = "user", key = "'user'+#userId")
//缓存输入key和输出key
public User getUser(Long userId) {
User byId = userService.getById(userId);
return byId;
}
@CacheEvict(cacheNames = "user", key = "'userId'+#userId")
public List<Long> evictMemberUidList(Long userId) {
boolean b = userService.removeById(userId);
return null;
}
}
自定义cache
参考MallChat: mallchat的后端项目，是一个既能购物又能聊天的电商系统。以互联网企业级开发规范的要求来实现它，电商该有的购物车，订单，支付，推荐，搜索，拉新，促活，推送，物流，客服，它都必须有。持续更新ing (gitee.com) 中src/main/java/com/abin/mallchat/common/common/service/cache/BatchCache.java的实现 自定义cache 继承抽象类进行扩展,父类会对方法进行回调
注解实现多级缓存
闪电缓存实现数据一致性(更新频率低的接口)
1.aop可以跳过源代码的执行 只需要判断key,如果key存在,就直接返回缓存结果
2.通过Supplier执行不同的层次逻辑,T为返回值,可以传递point.proceed()
参考其他博主的博客
使用SpringAOP+Caffeine+Redis实现本地缓存与多级缓存@[TOC] 一、背景 公司想对一些不经常变动 - 掘金 (juejin.cn)
