Re: [PERFORM] table partioning performance

2007-01-08 Thread Merlin Moncure
On 1/7/07, Colin Taylor <[EMAIL PROTECTED]> wrote: Hi there, we've partioned a table (using 8.2) by day due to the 50TB of data (500k row size, 100G rows) we expect to store it in a year. Our performance on inserts and selects against the master table is disappointing, 10x slower (with ony 1 par

Re: [PERFORM] table partioning performance

2007-01-08 Thread Steven Flatt
On 1/6/07, Colin Taylor <[EMAIL PROTECTED]> wrote: Hi there, we've partioned a table (using 8.2) by day due to the 50TB of data (500k row size, 100G rows) we expect to store it in a year. Our performance on inserts and selects against the master table is disappointing, 10x slower (with ony 1 pa

Re: [PERFORM] Slow Query on Postgres 8.2

2007-01-08 Thread Dave Dutcher
> -Original Message- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Tom Lane > > [ fools around with it for awhile... ] I think this is already fixed > for 8.2.1. Note the costs of the two related index scans: I installed 8.2.1 this morning and it works much better.

Re: [PERFORM] High update activity, PostgreSQL vs BigDBMS

2007-01-08 Thread Bruce Momjian
Craig A. James wrote: > Postgres functions like count() and max() are "plug ins" which has huge > architectural advantages. But in pre-8.1 releases, there was a big > speed penalty for this: functions like count() were very, very slow, > requiring a full table scan. I think this is vastly improve

Re: [PERFORM] table partioning performance

2007-01-08 Thread Luke Lonergan
Colin, On 1/6/07 8:37 PM, "Colin Taylor" <[EMAIL PROTECTED]> wrote: > Hi there, we've partioned a table (using 8.2) by day due to the 50TB of data > (500k row size, 100G rows) we expect to store it in a year. > Our performance on inserts and selects against the master table is > disappointing,

Re: [PERFORM] tweaking under repeatable load

2007-01-08 Thread Dimitri Fontaine
Le dimanche 7 janvier 2007 20:03, Ben a écrit : > I'd like to optimize my postgres configuration for optimal > performance under typical load. Unfortunately, as I understand > things, that implies that I have to have a way to repeat the same > load each time I try out new settings, so that I can fa