pg.ddx.io  pgsql-performance@postgresql.org mailing list archive  
help / color / mirror / Atom feed
From: David Boreham <david_list@boreham.org>
To: Kevin Grittner <Kevin.Grittner@wicourts.gov>
Cc: pgsql-general@postgresql.org, pgsql-performance <pgsql-performance@postgresql.org>
Subject: Re: [PERFORM] PostgreSQL - case studies
Date: Wed, 10 Feb 2010 09:10:31 -0700
Message-ID: <4B72DA77.2050802@boreham.org> (raw)
In-Reply-To: <20100210155503.GB17756@tamriel.snowman.net>
References: <OFE0550409.E8DBE5B8-ON652576C6.0014526C-652576C6.001716AC@ibsplc.com>
	<4B7280C7020000250002F120@gw.wicourts.gov>
	<20100210155503.GB17756@tamriel.snowman.net>

Kevin Grittner (Kevin.Grittner@wicourts.gov) wrote:
>>> Could some of you please share some info on such scenarios- where
>>> you are supporting/designing/developing databases that run into at
>>> least a few hundred GBs of data (I know, that is small by todays'
>>> standards)?
>>>       
At NuevaSync we use PG in a one-database-per-server design, with our own
replication system between cluster nodes. The largest node has more than 
200G online.
This is an OLTP type workload.









view thread (7+ messages)

Message-ID: <4B72DA77.2050802@boreham.org>
Permalink:  ../4B72DA77.2050802@boreham.org/
Also on:    postgresql.org/message-id/4B72DA77.2050802@boreham.org

 · 

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: david_list@boreham.org, Kevin.Grittner@wicourts.gov
  Subject: Re: [PERFORM] PostgreSQL - case studies
  In-Reply-To: <4B72DA77.2050802@boreham.org>

* 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