Re: Performance for relative large DB
От | Jim C. Nasby |
---|---|
Тема | Re: Performance for relative large DB |
Дата | |
Msg-id | 20050829210917.GC11282@pervasive.com обсуждение исходный текст |
Ответ на | Re: Performance for relative large DB ("tobbe" <tobbe@tripnet.se>) |
Список | pgsql-performance |
On Tue, Aug 23, 2005 at 11:25:02PM -0700, tobbe wrote: > Hi Chris. > > Thanks for the answer. > Sorry that i was a bit unclear. > > 1) We update around 20.000 posts per night. Doesn't seem like a lot at all. > 2) What i meant was that we suspect that the DBMS called PervasiveSQL > that we are using today is much to small. That's why we're looking for > alternatives. Just so no one gets confused, PervasiveSQL is our Btrieve-based database; it has nothing to do with Pervasive Posgres or PosgreSQL. Also, feel free to contact me off-list if you'd like our help with this. > Today we base our solution much on using querry-specific tables created > at night, so instead of doing querrys direct on the "post" table (with > 4-6M rows) at daytime, we have the data pre-aligned in several much > smaller tables. This is just to make the current DBMS coop with our > amount of data. > > What I am particulary interested in is if we can expect to run all our > select querrys directly from the "post" table with PostgreSQL. Probably, depending on what those queries are, what hardware you have and how the table is laid out. Unless you've got a really high query load I suspect you could handle this on some fairly mundane hardware... > 3) How well does postgres work with load balancing environments. Is it > built-in? As Chris said, there is no built-in solution. PGCluster (http://pgfoundry.org/projects/pgcluster/) is a possible solution should you need clustering/load balancing, but as I mentioned I suspect you should be ok without it. -- Jim C. Nasby, Sr. Engineering Consultant jnasby@pervasive.com Pervasive Software http://pervasive.com 512-569-9461
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