This should be easy but I can't find a way of doing it in 1 step.

I have a Trans table like:

Product_Code: X(10)
Date_Sold: Date
Price_Sold: Float

Now there will be 1 row for each Product_Code, Date combination. So over the past year a product_code could have over 300 rows, one row for each day it was sold. There are thousands of products.

What I need to do is find the last price_sold for each product_code. Not all products are sold each day so a product might not have been sold for weeks.

The only solution I've found is to do:

drop table if exists CurrentPrices;
create table CurrentPrices select Prod_Code, cast(max(Date_Sold) as Date), -1.0 Price_Sold from Trans group by Prod_Code;
alter table CurrentPrices add index ix_ProdCode (Prod_Code);
update CurrentPrices CP, Trans T set CP.Price_Sold=T.Price_Sold and T.Date_Sold=CP.Date_Sold;

Is there a way to shorten this? It may take 2-3 minutes to execute. I don't really need a new table as long as I get the Prod_Code and the last Date_Sold.

TIA
Mike

--
MySQL General Mailing List
For list archives: http://lists.mysql.com/mysql
To unsubscribe:    http://lists.mysql.com/[EMAIL PROTECTED]

Reply via email to