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Good point. I should have elaborated on that. The users would not all
be connecting concurrently. We store data for all of them but only 10
connect concurrently right now out of the 20,000 users in the system
(obviously we hope this increases). This is a separate issue that we
will address but right now I am interested in knowing if anyone has
ever had to partition a database or a table as it grew because of the
resource limits reached.
I am basically looking for examples or case studies to learn from. I
realize that our application will be unique and that a valid answer
to my question is "it depends" but I am interested in hearing if
there are other measures required besides increasing the processing
power, memory, or disk space allocated to PostgreSQL.
- ----- Original Message -----
From: "Andrew Sullivan" <andrew@libertyrms.info>
To: "Martin Dillard" <martin@edusoftinc.com>
Sent: Monday, February 25, 2002 2:17 PM
Subject: Re: [GENERAL] scaling a database
> On Mon, Feb 25, 2002 at 01:32:52PM -0800, Martin Dillard wrote:
>
> > What I am wondering is will we reach some kind of limit if we
> > wanted to grow the database to accomodate 1 million or even 10
> > million users?
>
> You don't say what the concurrency of users is, nor how they are
> connecting. If you tried 10 million users through psql, I'd be
> amazed that it could work. But other applications are different.
>
> --
> ----
> Andrew Sullivan 87 Mowat Avenue
> Liberty RMS Toronto, Ontario Canada
> <andrew@libertyrms.info> M6K 3E3
> +1 416 646 3304 x110
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