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Title: GitHub - lakecenter/AutoLoadCache: AutoLoadCache 是基于AOP+Annotation等技术实现的高效的缓存管理解决方案，实现缓存与业务逻辑的解耦，并增加异步刷新及“拿来主义机制”，以适应高并发环境下的使用。 · GitHub

Open Graph Title: GitHub - lakecenter/AutoLoadCache: AutoLoadCache 是基于AOP+Annotation等技术实现的高效的缓存管理解决方案，实现缓存与业务逻辑的解耦，并增加异步刷新及“拿来主义机制”，以适应高并发环境下的使用。

X Title: GitHub - lakecenter/AutoLoadCache: AutoLoadCache 是基于AOP+Annotation等技术实现的高效的缓存管理解决方案，实现缓存与业务逻辑的解耦，并增加异步刷新及“拿来主义机制”，以适应高并发环境下的使用。

Description: AutoLoadCache 是基于AOP+Annotation等技术实现的高效的缓存管理解决方案，实现缓存与业务逻辑的解耦，并增加异步刷新及“拿来主义机制”，以适应高并发环境下的使用。 - GitHub - lakecenter/AutoLoadCache: AutoLoadCache 是基于AOP+Annotation等技术实现的高效的缓存管理解决方案，实现缓存与业务逻辑的解耦，并增加异步刷新及“拿来主义机制”，以适应高并发环境下的使用。

Open Graph Description: AutoLoadCache 是基于AOP+Annotation等技术实现的高效的缓存管理解决方案，实现缓存与业务逻辑的解耦，并增加异步刷新及“拿来主义机制”，以适应高并发环境下的使用。 - lakecenter/AutoLoadCache

X Description: AutoLoadCache 是基于AOP+Annotation等技术实现的高效的缓存管理解决方案，实现缓存与业务逻辑的解耦，并增加异步刷新及“拿来主义机制”，以适应高并发环境下的使用。 - lakecenter/AutoLoadCache

Opengraph URL: https://github.com/lakecenter/AutoLoadCache

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Reload	https://github.com/lakecenter/AutoLoadCache
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Apache-2.0 license	https://github.com/lakecenter/AutoLoadCache
	https://github.com/lakecenter/AutoLoadCache#autoloadcache
	https://travis-ci.org/qiujiayu/AutoLoadCache
	https://maven-badges.herokuapp.com/maven-central/com.github.qiujiayu/autoload-cache-parent/
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设计思想及原理	https://github.com/lakecenter/AutoLoadCache/blob/master/doc/idea.md
	https://github.com/lakecenter/AutoLoadCache#设计思想及原理
《面对缓存，有哪些问题需要思考？》	http://www.infoq.com/cn/articles/thinking-about-distributed-cache-redis
《再谈缓存的穿透、数据一致性和最终一致性问题》	https://mp.weixin.qq.com/s?__biz=MzIwMzg1ODcwMw==&mid=2247487343&idx=1&sn=6a5f60341a820465387b0ffcf48ae85b
使用方法	https://github.com/lakecenter/AutoLoadCache/blob/master/doc/use.md
	https://github.com/lakecenter/AutoLoadCache#使用方法
注解（Annotation）说明	https://github.com/lakecenter/AutoLoadCache/blob/master/doc/annotations.md
	https://github.com/lakecenter/AutoLoadCache#注解annotation说明
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	https://github.com/lakecenter/AutoLoadCache#分布式锁支持
表达式的应用	https://github.com/lakecenter/AutoLoadCache/blob/master/doc/script.md
	https://github.com/lakecenter/AutoLoadCache#表达式的应用
缓存删除	https://github.com/lakecenter/AutoLoadCache/blob/master/doc/deleteCache.md
	https://github.com/lakecenter/AutoLoadCache#缓存删除
Magic模式	https://github.com/lakecenter/AutoLoadCache/blob/master/doc/magic.md
	https://github.com/lakecenter/AutoLoadCache#magic模式
注意事项	https://github.com/lakecenter/AutoLoadCache/blob/master/doc/warning.md
	https://github.com/lakecenter/AutoLoadCache#注意事项
与Spring Cache的区别	https://github.com/lakecenter/AutoLoadCache/blob/master/doc/SpringCache.md
	https://github.com/lakecenter/AutoLoadCache#与spring-cache的区别
最佳实战	https://github.com/lakecenter/AutoLoadCache/blob/master/doc/suggest.md
	https://github.com/lakecenter/AutoLoadCache#最佳实战
autoload-cache-spring-boot-starter	https://github.com/qiujiayu/autoload-cache-spring-boot-starter
test目录	https://github.com/qiujiayu/autoload-cache-spring-boot-starter/tree/master/src/test
	https://github.com/lakecenter/AutoLoadCache#autoload-cache-spring-boot-starter-推荐使用这个test目录中也有可运行例子
	https://github.com/lakecenter/AutoLoadCache#源码阅读
com.jarvis.cache.aop.aspectj.AspectjAopInterceptor	https://github.com/lakecenter/AutoLoadCache/blob/master/.autoload-cache-aop/autoload-cache-aop-aspectj/src/main/java/com/jarvis/cache/aop/aspectj/AspectjAopInterceptor.java
更新日志	https://github.com/lakecenter/AutoLoadCache/blob/master/doc/changesLog.md
	https://github.com/lakecenter/AutoLoadCache#更新日志
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