Re: Partitioning / Clustering
От | David Roussel |
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Тема | Re: Partitioning / Clustering |
Дата | |
Msg-id | 1115798277.29223.233869472@webmail.messagingengine.com обсуждение исходный текст |
Ответ на | Partitioning / Clustering (Alex Stapleton <alexs@advfn.com>) |
Ответы |
Re: Partitioning / Clustering
Re: Partitioning / Clustering Re: Partitioning / Clustering Re: Partitioning / Clustering Re: Partitioning / Clustering |
Список | pgsql-performance |
For an interesting look at scalability, clustering, caching, etc for a large site have a look at how livejournal did it. http://www.danga.com/words/2004_lisa/lisa04.pdf They have 2.6 Million active users, posting 200 new blog entries per minute, plus many comments and countless page views. Although this system is of a different sort to the type I work on it's interesting to see how they've made it scale. They use mysql on dell hardware! And found single master replication did not scale. There's a section on multimaster replication, not sure if they use it. The main approach they use is to parition users into spefic database clusters. Caching is done using memcached at the application level to avoid hitting the db for rendered pageviews. It's interesting that the solution livejournal have arrived at is quite similar in ways to the way google is set up. David
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