让memcached和mysql更好的工作
这次是Fotolog的经验，传说中比Flickr更大的网站，Fotolog在21台服务器上部署了51个memcached实例，总计有254G缓存空间可用，缓存了多达175G的内容，这个数量比很多网站的数据库都要大的多，原文是A Bunch of Great Strategies for Using Memcached and MySQ
这次是Fotolog的经验，传说中比Flickr更大的网站，Fotolog在21台服务器上部署了51个memcached实例，总计有254G缓存空间可用，缓存了多达175G的内容，这个数量比很多网站的数据库都要大的多，原文是A Bunch of Great Strategies for Using Memcached and MySQL Better Together，我这里还是选择性的翻译以及按照我的理解补充，感谢Todd Hoff，总能给我们一些学习的案例，从这里也能看出国外技术的开放态度，不似我们，其实就那么点小九九还藏着掖着，好了，进入正题。
一、关于memcached
还不知道这个?那你去面试的时候要吃亏了，赶紧去官方网站看一下，另外google一下用法，硬盘总是太慢，把数据存在内存里面吧，如果你只有一台服务器，推荐用一下APC(Facebook在用)或者eaccelerator或者Xcache(国人开发的)，这些产品单机效果更好，如果你需要分布式的缓存方案，那么用memcached吧。
二、memcached如何与mysql并肩作战?
通过数据库分片来解决数据库写扩展的问题把数据库分片，部署到不同的服务器上，免得只有一个主服务器，写操作成为瓶颈以及可能有的“单点故障”，一般的数据库分片主要是按照业务来分，尽可能的拆分业务，不相干的都独立起来做成服务也好
前 端mysql和一堆memcached服务器来应付读的问题应用程序首先从memcached中获取数据，获取不到再从数据库中获得并保存在 memcached中，以前看过一篇文章说好的应用95%的数据从memcache的中获得，3%的数据从mysql的query cache中获得，剩下2%才去查表，对比一下你的应用，差距有多远?
通过mysql复制(master-slave)来解决读的问题
首先mysql数据库通过master-slave读写分离，多个slave来应对应用程序读的操作。
三、为什么不用mysql的query cache?
我们都知道mysql有个query cache，可以缓存上次查询的结果，可实际上帮不上太多的忙，下面是mysql quety cache的不足：
只能有一个实例
意味着你能存储内容的上限就是你服务器的可用内存，一台服务器能有多少内存?你又能存多少呢?
只要有写操作，mysql的query cache就失效
只要数据库内容稍有改变，那怕改变的是其他行，mysql的query cache也会失效
mysql的query cache只能缓存数据库数据行
意味着其他内容都不行，比如数组，比如对象，而memcached理论上可以缓存任何内容，，甚至文件^_^
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