pg.ddx.io  pgsql-performance@postgresql.org mailing list archive  
help / color / mirror / Atom feed
From: Luke Lonergan <llonergan@greenplum.com>
To: stange@rentec.com
Cc: Dave Cramer <pg@fastcrypt.com>
Cc: Greg Stark <gsstark@mit.edu>
Cc: Joshua Marsh <icub3d@gmail.com>
Cc: pgsql-performance@postgresql.org
Subject: Re: Hardware/OS recommendations for large databases (
Date: Fri, 18 Nov 2005 07:27:42 -0800
Message-ID: <BFA332EE.14035%llonergan@greenplum.com> (raw)
In-Reply-To: <437DE960.9070606@rentec.com>

Alan,

On 11/18/05 6:46 AM, "Alan Stange" <stange@rentec.com> wrote:

> That's 3 hours under load, with 80 compute clients beating on the
> database at the same time.   We have the stats turned way up, so the
> analyze tends to read a big chunk of the tables a second time as
> well.    We typically don't have three hours a day of idle time.

So I guess you¹re saying you don¹t know what your I/O rate is?

- Luke

view thread (173+ messages)  latest in thread

Message-ID: <BFA332EE.14035%llonergan@greenplum.com>
Permalink:  ../BFA332EE.14035%25llonergan@greenplum.com/
Also on:    postgresql.org/message-id/BFA332EE.14035%llonergan@greenplum.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: llonergan@greenplum.com, stange@rentec.com, pg@fastcrypt.com, gsstark@mit.edu, icub3d@gmail.com
  Subject: Re: Hardware/OS recommendations for large databases (
  In-Reply-To: <BFA332EE.14035%llonergan@greenplum.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