Hardware recommendations to scale to silly load - Mailing list pgsql-performance
From | matt |
---|---|
Subject | Hardware recommendations to scale to silly load |
Date | |
Msg-id | 1061948112.15800.53.camel@gibraltar.mattclark.net Whole thread Raw |
Responses |
Re: Hardware recommendations to scale to silly load
Re: Hardware recommendations to scale to silly load Re: Hardware recommendations to scale to silly load Re: Hardware recommendations to scale to silly load Re: Hardware recommendations to scale to silly load |
List | pgsql-performance |
I'm wondering if the good people out there could perhaps give me some pointers on suitable hardware to solve an upcoming performance issue. I've never really dealt with these kinds of loads before, so any experience you guys have would be invaluable. Apologies in advance for the amount of info below... My app is likely to come under some serious load in the next 6 months, but the increase will be broadly predictable, so there is time to throw hardware at the problem. Currently I have a ~1GB DB, with the largest (and most commonly accessed and updated) two tables having 150,000 and 50,000 rows. A typical user interaction with the system involves about 15 single-table selects, 5 selects with joins or subqueries, 3 inserts, and 3 updates. The current hardware probably (based on benchmarking and profiling) tops out at about 300 inserts/updates *or* 2500 selects per second. There are multiple indexes on each table that updates & inserts happen on. These indexes are necessary to provide adequate select performance. Current hardware/software: Quad 700MHz PIII Xeon/1MB cache 3GB RAM RAID 10 over 4 18GB/10,000rpm drives 128MB battery backed controller cache with write-back enabled Redhat 7.3, kernel 2.4.20 Postgres 7.2.3 (stock redhat issue) I need to increase the overall performance by a factor of 10, while at the same time the DB size increases by a factor of 50. e.g. 3000 inserts/updates or 25,000 selects per second, over a 25GB database with most used tables of 5,000,000 and 1,000,000 rows. Notably, the data is very time-sensitive, so the active dataset at any hour is almost certainly going to be more on the order of 5GB than 25GB (plus I'll want all the indexes in RAM of course). Also, and importantly, the load comes but one hour per week, so buying a Starfire isn't a real option, as it'd just sit idle the rest of the time. I'm particularly interested in keeping the cost down, as I'm a shareholder in the company! So what do I need? Can anyone who has (or has ever had) that kind of load in production offer any pointers, anecdotes, etc? Any theoretical musings also more than welcome. Comments upon my sanity will be referred to my doctor. If the best price/performance option is a second hand 32-cpu Alpha running VMS I'd be happy to go that way ;-) Many thanks for reading this far. Matt
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