Re: best db schema for time series data? - Mailing list pgsql-performance

From Arjen van der Meijden
Subject Re: best db schema for time series data?
Date
Msg-id 4CE2688B.2050000@tweakers.net
Whole thread Raw
In response to best db schema for time series data?  (Louis-David Mitterrand <vindex+lists-pgsql-performance@apartia.org>)
Responses Re: best db schema for time series data?  (Louis-David Mitterrand <vindex+lists-pgsql-performance@apartia.org>)
List pgsql-performance
On 16-11-2010 11:50, Louis-David Mitterrand wrote:
> I have to collect lots of prices from web sites and keep track of their
> changes. What is the best option?
>
> 1) one 'price' row per price change:
>
>     create table price (
>         id_price primary key,
>         id_product integer references product,
>         price integer
>     );
>
> 2) a single 'price' row containing all the changes:
>
>     create table price (
>         id_price primary key,
>         id_product integer references product,
>         price integer[] -- prices are 'pushed' on this array as they change
>     );
>
> Which is bound to give the best performance, knowing I will often need
> to access the latest and next-to-latest prices?

If you mostly need the last few prices, I'd definitaly go with the first
aproach, its much cleaner. Besides, you can store a date/time per price,
so you know when it changed. With the array-approach that's a bit harder
to do.

If you're concerned with performance, introduce some form of a
materialized view for the most recent price of a product. Or reverse the
entire process and make a "current price"-table and a "price history"-table.

Best regards,

Arjen


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