I’m trying to generate a sales reports which lists each product + total sales in a given month. Its a little tricky because the prices of products can change throughout the month. For example:
- Between Jan-01 and Jan-15, my company sells 50 Widgets at a cost of $10 each
- Between Jan-15 and Jan-31, my company sells 50 more Widgets at a cost of $15 each
- The total sales of Widgets for January = (50 * 10) + (50 * 15) = $1250
This setup is represented in the database as follows:
Sales table Sale_ID ProductID Sale_Date 1 1 2009-01-01 2 1 2009-01-01 3 1 2009-01-02 ... 50 1 2009-01-15 51 1 2009-01-16 52 1 2009-01-17 ... 100 1 2009-01-31 Prices table Product_ID Sale_Date Price 1 2009-01-01 10.00 1 2009-01-16 15.00
When a price is defined in the prices table, it is applied to all products sold with the given ProductID from the given SaleDate going forward.
Basically, I’m looking for a query which returns data as follows:
Desired output Sale_ID ProductID Sale_Date Price 1 1 2009-01-01 10.00 2 1 2009-01-01 10.00 3 1 2009-01-02 10.00 ... 50 1 2009-01-15 10.00 51 1 2009-01-16 15.00 52 1 2009-01-17 15.00 ... 100 1 2009-01-31 15.00
I have the following query:
SELECT Sale_ID, Product_ID, Sale_Date, ( SELECT TOP 1 Price FROM Prices WHERE Prices.Product_ID = Sales.Product_ID AND Prices.Sale_Date < Sales.Sale_Date ORDER BY Prices.Sale_Date DESC ) as Price FROM Sales
This works, but is there a more efficient query than a nested sub-select?
And before you point out that it would just be easier to include ‘price’ in the Sales table, I should mention that the schema is maintained by another vendor and I’m unable to change it. And in case it matters, I’m using SQL Server 2000.
If you start storing start and end dates, or create a view that includes the start and end dates (you can even create an indexed view) then you can heavily simplify your query. (provided you are certain there are no range overlaps)
Note:
A technique along these lines will allow you to do this with a view. Note, if you need to index the view, it will have to be juggled around quite a bit ..