FAQ items 3.10 and 4.9 might give you a running start.
On 2000-01-12, Robert Wagner mentioned:
> Hello All,
>
> Anyone know if read performance on a postgres database decreases at an
> increasing rate, as the number of stored records increase?
>
> This is a TCL app, which makes entries into a single, table and from time
> to time repopulates a grid control. It must rebuild the data in the grid
> control, because other clients have since written to the same table.
>
> It seems as if I'm missing something fundamental... maybe I am... is some
> kind of database cleanup necessary? With less than ten records, the grid
> populates very quickly. Beyond that, performance slows to a crawl, until
> it _seems_ that every new record doubles the time needed to retrieve the
> records. My quick fix was to cache the data locally in TCL, and only
> retrieve changed data from the database. But now as client demand
> increases, as well as the number of clients making changes to the table,
> I'm reaching the bottleneck again.
>
> The client asked me yesterday to start evaluating "more mainstream"
> databases, which means that they're pissed off. Postgres is fun to work
> with, but it's hard to learn about, and hard to justify to clients.
>
> By the way, I have experimented with populating the exact same grid control
> on Windows NT, using MS Access (TCL runs just about anywhere). The grid
> seemed to populate just about instantaneously. So, is the bottleneck in
> Unix, in Postgres, and does anybody know how to make it faster?
>
> Cheers,
> Rob
>
>
>
> ************
>
>
--
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peter_e@gmx.net 75262 Uppsala
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