pg.ddx.io  pgsql-performance@postgresql.org mailing list archive  
help / color / mirror / Atom feed
From: Josh Berkus <josh@agliodbs.com>
To: Anish Kejariwal <anishkej@gmail.com>
Cc: Jeff Janes <jeff.janes@gmail.com>
Cc: pgsql-performance@postgresql.org
Subject: Re: Expected performance of querying 5k records from 4 million records?
Date: Mon, 18 Jun 2012 12:08:37 -0700
Message-ID: <4FDF7CB5.4060207@agliodbs.com> (raw)
In-Reply-To: <CAOpcnr9MOa_CbB7pLOOry_710F4F27zeXjXqSYbf7kKvx5owwg@mail.gmail.com>
References: <CAOpcnr8S2hmV1z-=ZF1k+t+uWWyw82nUbwhpQmdf=8R_Kpv78g@mail.gmail.com>
	<CAMkU=1zn+Z9iw96nEqJjqSzysv53DT8Y0Kba2GTw9a9qHtEC6w@mail.gmail.com>
	<CAOpcnr9MOa_CbB7pLOOry_710F4F27zeXjXqSYbf7kKvx5owwg@mail.gmail.com>

On 6/18/12 9:39 AM, Anish Kejariwal wrote:
> Thanks for the help, Jeff and Josh.  It looks reclustering the multi-column
> index might solve things.  For my particular query, because I'm getting a
> range of records back, it makes sense that reclustering will benefit me if
> I have a slow disk even if I had expected that the indices would be
> sufficient .  I now need to make sure that the speed up I'm seeing is not
> because things have been cached.

Well, other than that your performance is as expected because of your
much-larger-than-RAM database and your relatively slow disk.

-- 
Josh Berkus
PostgreSQL Experts Inc.
http://pgexperts.com





view thread (6+ messages)

Message-ID: <4FDF7CB5.4060207@agliodbs.com>
Permalink:  ../4FDF7CB5.4060207@agliodbs.com/
Also on:    postgresql.org/message-id/4FDF7CB5.4060207@agliodbs.com

 · 

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: josh@agliodbs.com, anishkej@gmail.com, jeff.janes@gmail.com
  Subject: Re: Expected performance of querying 5k records from 4 million records?
  In-Reply-To: <4FDF7CB5.4060207@agliodbs.com>

* 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