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Title: GitHub - lukehuang/JavaRedis: 一个用java写的redis服务器 · GitHub

Open Graph Title: GitHub - lukehuang/JavaRedis: 一个用java写的redis服务器

X Title: GitHub - lukehuang/JavaRedis: 一个用java写的redis服务器

Description: 一个用java写的redis服务器. Contribute to lukehuang/JavaRedis development by creating an account on GitHub.

Open Graph Description: 一个用java写的redis服务器. Contribute to lukehuang/JavaRedis development by creating an account on GitHub.

X Description: 一个用java写的redis服务器. Contribute to lukehuang/JavaRedis development by creating an account on GitHub.

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README	https://github.com/lukehuang/JavaRedis
	https://github.com/lukehuang/JavaRedis#这是一个用netty实现的redis服务器
	https://github.com/lukehuang/JavaRedis#目的有三
	https://github.com/lukehuang/JavaRedis#目前实现的功能
	https://github.com/lukehuang/JavaRedis#version-1架构
	https://github.com/lukehuang/JavaRedis#handler
	https://github.com/lukehuang/JavaRedis#编码解码
	https://github.com/lukehuang/JavaRedis#协议格式
	https://github.com/lukehuang/JavaRedis#数据库部分
	https://github.com/lukehuang/JavaRedis#实现了hyperloglog数据结构
	https://github.com/lukehuang/JavaRedis#基本原理
	https://www.codecogs.com/eqnedit.php?latex=$&space;P(X_i&space;<=&space;K)&space;=&space;(1&space;-&space;(1/2)^k)^n$
	https://www.codecogs.com/eqnedit.php?latex=\bg_black&space;\large&space;$&space;1&space;-&space;(1&space;-&space;(1/2)^{k-1})^n&space;$
	https://www.codecogs.com/eqnedit.php?latex=\large&space;$&space;2^K&space;$
	https://github.com/lukehuang/JavaRedis#实现步骤
	https://github.com/lukehuang/JavaRedis#实现
	https://github.com/lukehuang/JavaRedis#实际上这几个参数一个都不能少否则误差就会变大原理和实现还是差距很大的具体推导感兴趣的自己取看paperredis源码里面给了paper的名字
	https://github.com/lukehuang/JavaRedis#version-2架构
	https://github.com/lukehuang/JavaRedis#-同步删除的策略
	https://github.com/lukehuang/JavaRedis#-异步删除的策略
	https://github.com/lukehuang/JavaRedis#上面这样做第一是对原来的redismap进行了封装但是并没有对原有的数据操作所以无论数据有多少都是o1的操作
	https://github.com/lukehuang/JavaRedis#第二所有转换都在主线程里面执行所以不需要考虑转换过程带来的线程安全的问题
	https://github.com/lukehuang/JavaRedis#第三转换完成之后就可以提交任务让异步线程也对该redishashmap进行操作了这个时候操作一定是线程安全的
	https://github.com/lukehuang/JavaRedis#第四一般这种操作竞争的程度并不高一共就几个异步线程进行操作所以性能损失不大而且每个操作很迅速所以自己写了一个简单的spin-lock用来进行保护即可具体内容见redisconcurrenthashmapclass
	https://github.com/lukehuang/JavaRedis#最后我们只需要在异步线程结束之后在主线程将状态转换回来即可这种情况下只能让主线程去轮训提交的异步任务的future只要future完成就执行对应的回调具体内容见expirefuturejava部分
	https://github.com/lukehuang/JavaRedis#此外还有一些小的优化这里就不一一赘述了
	https://github.com/lukehuang/JavaRedis#version-3
	https://github.com/lukehuang/JavaRedis#改动1--增加了对于渐进式rehash的支持为了达到这个目的我重写了redishashmap其实就是把jdk源码抄了一部分过来
	https://github.com/lukehuang/JavaRedis#改动2--增加了异步线程进行rehash的支持重点是确保线程安全使得删除过期rehash以及主线程rehash协作运行
	https://github.com/lukehuang/JavaRedis#思路设计
	https://github.com/lukehuang/JavaRedis#-渐进rehash的支持
	https://github.com/lukehuang/JavaRedis#-主线程渐进式rehash的逻辑
	https://github.com/lukehuang/JavaRedis#-异步线程的逻辑
	https://github.com/lukehuang/JavaRedis#-线程安全和性能的讨论
	https://github.com/lukehuang/JavaRedis#--锁的实现
	https://github.com/lukehuang/JavaRedis#-状态改变的条件
	https://github.com/lukehuang/JavaRedis#version-4
	https://github.com/lukehuang/JavaRedis#改动--针对gc频繁的问题将最常用的数据结构string改造为redisstring并且实现了一套对象池的技术手动管理很多对象的分配释放统计信息等策略
	https://github.com/lukehuang/JavaRedis#首先说明一下idea的来源由于运行的时候发现gc在高负载的时候非常的频繁差不多1s就会产生一次gc所以思考怎么解决这个问题
	https://github.com/lukehuang/JavaRedis#思路如下-首先我们需要知道gc频繁的原因因为每一次请求都会生成大量的临时对象
	https://github.com/lukehuang/JavaRedis#那么将新生代扩大是不是能够解决这个问题呢
	https://github.com/lukehuang/JavaRedis#这就得出一个结论必须将所有的string都替换成一个我们自己设计的可以池化的类型-redisstring
	https://github.com/lukehuang/JavaRedis#这里实现的时候有这么一些难点
Readme	https://github.com/lukehuang/JavaRedis#readme-ov-file
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