现在有3KW的数据，单条数据都很小的，如果按key-value来看的话，key就是32位的MD5字符串，value按平均算大概是100字节左右。 现在需要将这些数据做缓存以在高并发的时候依然可以快速响应。 因为这些数据基本没有冷热数据之分，所以需要将全部数据都放到缓存
现在有3KW的数据，单条数据都很小的，如果按key-value来看的话，key就是32位的MD5字符串，value按平均算大概是100字节左右。
现在需要将这些数据做缓存以在高并发的时候依然可以快速响应。
因为这些数据基本没有冷热数据之分，所以需要将全部数据都放到缓存中。
1、直接生成静态文件，利用nginx对静态文件的高效做静态缓存。
- 当时服务器硬件资源有限，所以就采用这种方式，一直源用至今。
- 服务器间通过NFS来共享
- 太多小文件，不方便管理
- NFS不方便运维与扩展
-
文件内容很小(100字节左右)，3KW大概就是2.5G大小左右
- 不过文件存储的时候和硬盘分区的族大小有关，在这里磁盘分区的族大小为8K，所以尽管文件内容只有100字节，但是实际存储到磁盘上的时候单个文件其实是8K
- 所以3KW的文件世界占的磁盘空间大约为：200G左右（ 严重浪费空间啊）
2、Redis(V2.2.11)【KV数据库】
- 听同事说开启VM会使性能急剧下降，所以基本无视VM，数据全放内存。
- key为32位MD5字符串
- 测试数据：10W数据大概占内存20M
- 测试数据：500W数据大概占内存1G，持久化的rdb数据文件大概350M
- 推算3KW数据：内存6G，持久化的rdb数据文件大概为2G(压缩了？)
- 因为Redis在持久化的时候内存会加倍，和考虑到数据的增长，所以需要1台20G内存的机器基本就没问题了（容灾啥的另算）。
- Redis非常快，如果硬件条件没问题，基本选这个最好了。
3、Moosefs(MFS)【分布式文件存储系统】
- mfs支持NFS的方式mount到本地直接操作（如使用mfs，则现在的架构基本不用改）
- 最基本的需要一台主控服务器(Master Server)、一台数据服务器(Chunk Server)
- 文件和目录的索引需要全部加载到主控服务器的内存中，所以对主控服务器的内存有一定的要求
- 写入30W文件，到20W的时候写入就开始下降得厉害了（我的5400转的笔记本硬盘）
- 30W文件，4W目录，主控服务器占用大概120M内存
- 文件存储方式貌似和普遍的文件一样单个存储的（不确定），30W文件大概占了2.4G的磁盘空间（同样是8K一个文件）。
- 小文件一样很多，不方便维护与迁移(不知是否我设置不对？)。
- 内存、硬盘都占用得比较多，而且性能相对来说不是很出众。
- 所以这个基本不考虑了。
作者：QLeelulu??出处： http://QLeelulu.cnblogs.com/
作者：zeo112140 发表于2013-7-11 10:28:48 原文链接
阅读：7 评论：0 查看评论
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原文地址：[转]缓存大量小文件？Redis是首选！, 感谢原作者分享。
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