分布式存储及应用系统架构分析.doc

分布式存储及应用系统架构分析
文件更改摘要:
日期
修订说明
修订人
批准人
2010-4-4
创建
龙兴平
修订记录
目录
Memcached
Memcached架构
memcached是高性能的分布式内存缓存服务器。一般的使用目的是,通过缓存数据库查询结果,减少数据库访问次数,以提高动态Web应用的速度、提高可扩展性。
Memcache实现分析理解
实现结构
Speed
Of course, the primary motivation for caching is speed, so Memcached is designed to be as fast as possible. The initial prototype of Memcached was written in Perl. Although I love Perl, the prototype was laughably slow and bloated. Perl trades off memory usage for everything, so a lot of precious memory was wasted, and Perl can't handle tons work connections at once.
The current version is written in C as a single-process, single-threaded, asynchronous I/O, event-based d?mon. For portability and speed, we use libevent (see the on-line Resources section) for event notification. The advantage of libevent is that it picks the best available strategy for dealing with file descriptors at runtime. For example, it chooses kqueue on BSD and epoll on Linux , which are efficient when dealing with thousands of concurrent connections. On other systems, libevent falls back to the traditional poll and select methods.
Inside Memcached, all algorithms are O(1). That is, the runtime of the algorithms and CPU used never varies with the number of concurrent clients, at least when using kqueue or epoll, or with the size of the data or any other factor.
Of note, Memcached uses a slab allocator for memory allocation. Early versions of Memcached used the malloc from glibc and ended up falling on their faces after about a week, eating up a lot of CPU space due to address space fragmentation. A slab allocator allocates only large chunks of memory, slicing them up into little chunks for particular classes of items, then maintaining freelists for each class whenever an object is freed. See the Bonwick paper in Resources for more details. Memcached currently generates slab classes for all power-of-two sizes from 64 bytes to 1MB, and it allocates an object of the smallest size that can