pg.ddx.io  pgsql-performance@postgresql.org mailing list archive  
help / color / mirror / Atom feed
From: Jim C. Nasby <jnasby@pervasive.com>
To: luchot <luchot@voila.fr>
Cc: pgsql-performance@postgresql.org <pgsql-performance@postgresql.org>
Subject: Re: Query parallelism
Date: Mon, 27 Mar 2006 08:31:48 -0600
Message-ID: <20060327143147.GU80726@pervasive.com> (raw)
In-Reply-To: <16175346.1143469525456.JavaMail.www@wwinf4002>
References: <16175346.1143469525456.JavaMail.www@wwinf4002>

On Mon, Mar 27, 2006 at 04:25:25PM +0200, luchot wrote:
> Hello everybody ,
> I use PostgreSQL 8.1.3 on a bi-processor Xeon and I would know how to do to enable a parallelism for 
> the execution of  queries. Indeed , when I analyse the use of the cpus during a query the result is that for 
> some minutes a cpu is used while the other not and after it is the contrary. So they are not used at the same 
> time and i would know what i have to do in order cpus work together .
> Thanks and sorry for my english,

PostgreSQL has no support for intra-query parallelism at this time.
Greenplum's MPP might do what you're looking for.
-- 
Jim C. Nasby, Sr. Engineering Consultant      jnasby@pervasive.com
Pervasive Software      http://pervasive.com    work: 512-231-6117
vcard: http://jim.nasby.net/pervasive.vcf       cell: 512-569-9461



view thread (2+ messages)

Message-ID: <20060327143147.GU80726@pervasive.com>
Permalink:  ../20060327143147.GU80726@pervasive.com/
Also on:    postgresql.org/message-id/20060327143147.GU80726@pervasive.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: jnasby@pervasive.com, luchot@voila.fr
  Subject: Re: Query parallelism
  In-Reply-To: <20060327143147.GU80726@pervasive.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