Skip site navigation (1) Skip section navigation (2)

Re: Very large tables

From: Simon Riggs <simon(at)2ndQuadrant(dot)com>
To: William Temperley <willtemperley(at)gmail(dot)com>
Cc: pgsql-general(at)postgresql(dot)org
Subject: Re: Very large tables
Date: 2008-11-28 17:46:14
Message-ID: 1227894374.20796.228.camel@hp_dx2400_1 (view raw, whole thread or download thread mbox)
Lists: pgsql-general
On Fri, 2008-11-28 at 15:40 +0000, William Temperley wrote:
> Hi all
> Has anyone any experience with very large tables?
> I've been asked to store a grid of 1.5 million geographical locations,
> fine. However, associated with each point are 288 months, and
> associated with each month are 500 float values (a distribution
> curve), i.e. 1,500,000 * 288 * 500 = 216 billion values :).
> So a 216 billion row table is probably out of the question. I was
> considering storing the 500 floats as bytea.
> This means I'll need a table something like this:
> grid_point_id | month_id | distribution_curve
> (int4)            | (int2)       | (bytea?)
> ------------------+---------------+---------------

I would look carefully at the number of bits required for each float
value. 4 bytes is the default, but you may be able to use less bits than
that rather than rely upon the default compression scheme working in
your favour. Custom datatypes are often good for this kind of thing.

Not sure it matters what the month_id datatype is.

Everything else depends upon the usage characteristics. You may want to
consider using table or server partitioning also.

 Simon Riggs 
 PostgreSQL Training, Services and Support

In response to


pgsql-general by date

Next:From: William TemperleyDate: 2008-11-28 18:46:54
Subject: Re: Very large tables
Previous:From: Grzegorz JaśkiewiczDate: 2008-11-28 16:58:11
Subject: Re: Very large tables

Privacy Policy | About PostgreSQL
Copyright © 1996-2017 The PostgreSQL Global Development Group