Re: hardware performance and some more

От: Ron Johnson
Тема: Re: hardware performance and some more
Дата: ,
Msg-id: 1059142796.26034.106.camel@haggis
(см: обсуждение, исходный текст)
Ответ на: Re: hardware performance and some more  (Kasim Oztoprak)
Ответы: Re: hardware performance and some more  (Josh Berkus)
Список: pgsql-performance

Скрыть дерево обсуждения

hardware performance and some more  (Kasim Oztoprak, )
 Re: hardware performance and some more  ("Shridhar Daithankar", )
 Re: hardware performance and some more  (Kasim Oztoprak, )
  Re: hardware performance and some more  (Ron Johnson, )
 Re: hardware performance and some more  ("Roman Fail", )
 Re: hardware performance and some more  (Kasim Oztoprak, )
 Re: hardware performance and some more  (William Yu, )
  Re: hardware performance and some more  ("Shridhar Daithankar", )
 Re: hardware performance and some more  (Kasim Oztoprak, )
  Re: hardware performance and some more  ("Shridhar Daithankar", )
  Re: hardware performance and some more  (Ron Johnson, )
   Re: hardware performance and some more  (Josh Berkus, )
    Re: hardware performance and some more  (Ron Johnson, )
 Re: hardware performance and some more  (Kasim Oztoprak, )
  Re: hardware performance and some more  ("Shridhar Daithankar", )

On Fri, 2003-07-25 at 11:38, Kasim Oztoprak wrote:
> On 24 Jul 2003 23:25 EEST you wrote:
>
> > On Thu, 2003-07-24 at 13:25, Kasim Oztoprak wrote:
> > > On 24 Jul 2003 17:08 EEST you wrote:
> > >
> > > > On 24 Jul 2003 at 15:54, Kasim Oztoprak wrote:
> > [snip]
> > >
> > > we do not have memory problem or disk problems. as I have seen in the list the best way to
> > > use disks are using raid 10 for data and raid 1 for os. we can put as much memory as
> > > we require.
> > >
> > > now the question, if we have 100 searches per second and in each search if we need 30 sql
> > > instruction, what will be the performance of the system in the order of time. Let us say
> > > we have two machines described aove in a cluster.
> >
> > That's 3000 sql statements per second, 180 thousand per minute!!!!
> > What the heck is this database doing!!!!!
> >
> > A quad-CPU Opteron sure is looking useful right about now...  Or
> > an quad-CPU AlphaServer ES45 running Linux, if 4x Opterons aren't
> > available.
> >
> > How complicated are each of these SELECT statements?
>
> this is kind of directory assistance application. actually the select statements are not
> very complex. the database contain 25 million subscriber records and the operators searches
> for the subscriber numbers or addresses. there are not much update operations actually the
> update ratio is approximately %0.1 .
>
> i will use at least 4 machines each having 4 cpu with the speed of 2.8 ghz xeon processors.
> and suitable memory capacity with it.
>
> i hope it will overcome with this problem. any similar implementation?

Since PG doesn't have active-active clustering, that's out, but since
the database will be very static, why not have, say 8 machines, each
with it's own copy of the database?  (Since there are so few updates,
you feed the updates to a litle Perl app that then makes the changes
on each machine.)  (A round-robin load balancer would do the trick
in utilizing them all.)

Also, with lots of machines, you could get away with less expensive
machines, say 2GHz CPU, 1GB RAM and a 40GB IDE drive.  Then, if one
goes down for some reason, you've only lost a small portion of your
capacity, and replacing a part will be very inexpensive.

And if volume increases, just add more USD1000 machines...

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