pg.ddx.io  pgsql-performance@postgresql.org mailing list archive  

help / color / mirror / Atom feed
From: Andrea Arcangeli <andrea@cpushare.com>
To: Tom Lane <tgl@sss.pgh.pa.us>
Cc: Greg Stark <gsstark@mit.edu>
Cc: pgsql-performance@postgresql.org
Subject: Re: NOT LIKE much faster than LIKE?
Date: Wed, 11 Jan 2006 08:59:56 +0100
Message-ID: <20060111075956.GU15897@opteron.random> (raw)
In-Reply-To: <152.1136908013@sss.pgh.pa.us>
References: <20060110014447.GB18474@opteron.random>
	<24021.1136858688@sss.pgh.pa.us>
	<20060110022303.GA20168@opteron.random>
	<24372.1136861684@sss.pgh.pa.us>
	<20060110034721.GC20168@opteron.random>
	<87y81oyv6x.fsf@stark.xeocode.com>
	<20060110152720.GL15897@opteron.random>
	<152.1136908013@sss.pgh.pa.us>

On Tue, Jan 10, 2006 at 10:46:53AM -0500, Tom Lane wrote:
> Not with that data, but maybe if you increased the statistics target for
> the column to 100 or so, you'd catch enough values to get reasonable
> results.

Sorry, I'm not expert with postgresql, could you tell me how to increase
the statistic target?

In another email you said you applied a patch to CVS, please let me know
if you've anything to test for me, and I'll gladly test it immediately
(I've a sandbox so it's ok even if it corrupts the db ;).

Thanks!



view thread (26+ messages)  latest in thread

Message-ID: <20060111075956.GU15897@opteron.random>
Permalink:  ../20060111075956.GU15897@opteron.random/
Also on:    postgresql.org/message-id/20060111075956.GU15897@opteron.random

 · 

reply
Reply instructions:

You may reply publicly to this message via plain-text email
using any one of the following methods:

* Reply to all the recipients using the --to and --cc options:
  reply via email

  To: pgsql-performance@postgresql.org
  Cc: andrea@cpushare.com, tgl@sss.pgh.pa.us, gsstark@mit.edu
  Subject: Re: NOT LIKE much faster than LIKE?
  In-Reply-To: <20060111075956.GU15897@opteron.random>

* Save the following mbox file, import it into your mail client,
  and reply-to-all from there: mbox

This inbox is served by DDX for PostgreSQL; see mirroring instructions
for how to clone and mirror all data and code used for this inbox