From: | Grzegorz Jaśkiewicz <gryzman(at)gmail(dot)com> |
---|---|
To: | "Alvaro Herrera" <alvherre(at)commandprompt(dot)com> |
Cc: | "William Temperley" <willtemperley(at)gmail(dot)com>, pgsql-general(at)postgresql(dot)org |
Subject: | Re: Very large tables |
Date: | 2008-11-28 16:03:52 |
Message-ID: | 2f4958ff0811280803o6849d83fjaeed7a4b69aa8586@mail.gmail.com |
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Lists: | pgsql-general |
On Fri, Nov 28, 2008 at 3:48 PM, Alvaro Herrera
<alvherre(at)commandprompt(dot)com>wrote:
> William Temperley escribió:
>
> > 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.
>
> What about a float array, float[]?
>
you seriously don't want to use bytea to store anything, especially if the
datatype matching exists in db of choice.
also, consider partitioning it :)
Try to follow rules of normalization, as with that sort of data - less
storage space used, the better :)
And well, I would look for a machine with rather fast raid storage :) (and
spacious too).
--
GJ
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