Re: Select Maths

Beautiful - Works a treat. Thanks Aaron.

A follow-on problem now. I have the below column in the select, but I need
to validate the value across all 3 rules - I need to assign it to a
variable!!

Example - my pqty function calculates a value less than the suppliers
minimum order qty (and therefore fails the first CASE below), I need to set
the column to a new value (stock.purchase_unit) - That's all OK. But I need
to check this new value against the remaining 2 CASE's.

<SNIP>

CASE WHEN pqty(stock.code) < stock.purchase_unit THEN stock.purchase_unit

--^^^-- Check that our suggested purchase qty is greater than
then suppliers minimum order qty

WHEN MOD(pqty(stock.code), stock.box_qty) > 0 THEN stock.box_qty *
ROUND(CAST(pqty(stock.code) AS DOUBLE PRECISION) / stock.box_qty)

--^^^-- Check that our suggested purchase qty is a multiple of
the box qty

WHEN pqty(stock.code) < (urate(stock.code) * creditors.review_cycle)
THEN urate(stock.code) * creditors.review_cycle

--^^^-- Check that our suggested purchase qty is greater than
our Usage Rate x Creditor Review Cycle

END AS "pqty",

<SNIP>

Thanks again for all your help guys,

-p

-----Original Message-----
From: aaron(dot)bono(at)gmail(dot)com [mailto:aaron(dot)bono(at)gmail(dot)com] On Behalf Of Aaron
Bono
Sent: Friday, 7 July 2006 18:37
To: Phillip Smith
Cc: pgsql-sql(at)postgresql(dot)org
Subject: Re: [SQL] Select Maths

On 7/7/06, Phillip Smith <phillips(at)weatherbeeta(dot)com(dot)au> wrote:

Same SELECT query as before, different area of it. I have a function that
calculates the recommended purchase order quantity for a stock item based
off various other values and functions:

pqty(stock.code) AS "pqty"

This needs to be rounded up / down to the nearest multiple of the purchase
unit quantity for that product - It's Friday afternoon and my head has
refused to help me work out the maths all afternoon!

Example:

Pqty = 60

Purchase Unit = 25

Pqty needs to be rounded down to 50.

I guess I'm also asking if I should do this in the Pqty function or in the
SELECT query to optimize the result?

select 25 * round(cast(60 as double precision) / 25)

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