Home Database Mysql Tutorial 让memcached和mysql更好的工作

让memcached和mysql更好的工作

Jun 07, 2016 pm 04:20 PM
memcached mysql Work

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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