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
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