Neil Saunders wrote:
> Hi all,
>
> I'm developing a property rental database. One of the tables tracks
> the price per week for different properties:
>
> CREATE TABLE "public"."prices" (
> "id" SERIAL,
> "property_id" INTEGER,
> "start_date" TIMESTAMP WITHOUT TIME ZONE,
> "end_date" TIMESTAMP WITHOUT TIME ZONE,
> "price" DOUBLE PRECISION NOT NULL
> ) WITH OIDS;
>
> CREATE INDEX "prices_idx" ON "public"."prices"
> USING btree ("property_id");
>
> I'd like to display the prices per property in a table, with each row
> coloured different shades; darker shades representing the more
> expensive periods for that property. To do this, I propose to
> calculate the percentage difference of each rows price from the
> average for that property, so if for example I have two rows, one for
> price=200 and one for price=300, i'd like to retrieve both records
> along with the calculated field indicating that the rows are -20%,
> +20% from the average, respectively.
>
> I've started with the following query, but since I'm still learning
> how PostgreSQL works, I'm confused as to the efficiency of the
> following statement:
>
> SELECT *, (price - (SELECT avg(price) from prices)) as diff FROM prices;
I'd personally write it something like:
SELECT prices.property_id, prices.price AS actual_price, averages.avg_price, (averages.avg_price - prices.price) AS
price_diff ((averages.avg_price - prices.price)/averages.avg_price) AS pc_diff
FROM prices, (SELECT property_id, avg(price) as avg_price FROM prices) AS averages
WHERE prices.property_id = averages.property_id
;
That's as much to do with how I think about the problem as to any
testing though.
-- Richard Huxton Archonet Ltd