Re: Large table performance

What if we start a project where we define tests for PostgreSQL
overall performance and individual points with any database structure?
It could be done, throught a SQL logger and statistics, where we can
see complete processess and measure then after. We have many things to
measure, and something that would help here is pg_buffercache (contrib
module). We could define many other tests.

I was thinking about something like that, where an aplication reads
information (from catalog too) about an production database, and use
this information to build a data set of any size, respecting anything
measured before.

Is it too complicated? I'm trying to make programs with C++ and
libpqxx, and successfully used Python with PostgreSQL before (was a
database structure comparer). Python could make it easyer, C++ could
be a chalenge for someone like me.

Someone would like to contribute? When we start the project? :)

On 1/12/07, Steinar H. Gunderson <sgunderson(at)bigfoot(dot)com> wrote:
> On Fri, Jan 12, 2007 at 07:40:25PM -0500, Dave Cramer wrote:
> > 5000 is pretty low, you need at least 1/4 of memory for an 8.1.x or
> > newer server.
>
> Is this the new "common wisdom"? It looks like at some point, someone here
> said "oh, and it looks like you're better off using large values here for
> 8.1.x and newer", and now everybody seems to repeat it as if it was always
> well-known.
>
> Are there any real benchmarks out there that we can point to? And, if you set
> shared_buffers to half of the available memory, won't the kernel cache
> duplicate more or less exactly the same data? (At least that's what people
> used to say around here, but I guess the kernel cache gets adapted to the
> fact that Postgres won't ask for the most common stuff, ie. the one in the
> shared buffer cache.)
>
> /* Steinar */
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--
Daniel Cristian Cruz
Analista de Sistemas
Especialista postgreSQL e Linux
Instrutor Certificado Mandriva