| From: | Craig Ringer <craig(at)postnewspapers(dot)com(dot)au> |
|---|---|
| To: | Greg Smith <greg(at)2ndquadrant(dot)com> |
| Cc: | Jaime Rodriguez <jaime(dot)rodriguez(at)liberux(dot)com>, pgsql-general(at)postgresql(dot)org |
| Subject: | Re: Performance and Clustering |
| Date: | 2010-04-29 02:43:18 |
| Message-ID: | 4BD8F246.2090906@postnewspapers.com.au |
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| Thread: | |
| Lists: | pgsql-general |
On 29/04/2010 10:04 AM, Greg Smith wrote:
> Jaime Rodriguez wrote:
>> My customer requires that DBMS shall support 4000 simultaneous requests
>> Also the system to be deploy maybe a cluster, with 12 microprocessors
> [snip]
> If most connections are read-only, there are a few ways to design a
> cluster of systems to support the sort of design needed to scale up to
> where you're aiming at. Getting more than one node you can write to in a
> cluster is much harder.
If most of the connections are read-only then in addition to using a
connection pooler and/or read slave cluster, you can look into getting
the customer to using memcached as a midlayer. They should see a huge
performance boost if they're prepared to do the work.
--
Craig Ringer
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