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( SELECT soh.SalesOrderNumber, soh.OrderDate, soh.TotalDue, ( SELECT SUM(soh1.TotalDue) FROM Sales.SalesOrderHeader soh1 WHERE soh1.SalesOrderNumber <= soh.SalesOrderNumber ) AS RunningTotal, SUM(soh.TotalDue) OVER () AS GrandTotal FROM Sales.SalesOrderHeader soh WHERE DATEPART(year, soh.OrderDate) = @Year GROUP BY soh.SalesOrderNumber, soh.OrderDate, soh.TotalDue ) SELECT rt.SalesOrderNumber, rt.OrderDate, rt.TotalDue, rt.RunningTotal, (rt.RunningTotal / rt.GrandTotal) * 100 AS PercentTotal FROM RunningTotalCTE rt ORDER BY rt.SalesOrderNumber; RETURN 0; END; GO EXEC dbo.GetSalesRunningTotal @Year = 2001; GO

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The SP in Listing 6-4 accepts a single int parameter indicating the year for which the calculation should be performed: CREATE PROCEDURE dbo.GetSalesRunningTotal (@Year int) Inside the SP I ve used a CTE to return the relevant data for the year specified, including , calculations for the running total via a simple scalar subquery and the grand total via a SUM calculation with an OVER clause: WITH RunningTotalCTE AS ( SELECT soh.SalesOrderNumber, soh.OrderDate, soh.TotalDue, ( SELECT SUM(soh1.TotalDue) FROM Sales.SalesOrderHeader soh1 WHERE soh1.SalesOrderNumber <= soh.SalesOrderNumber ) AS RunningTotal, SUM(soh.TotalDue) OVER () AS GrandTotal FROM Sales.SalesOrderHeader soh WHERE DATEPART(year, soh.OrderDate) = @Year GROUP BY soh.SalesOrderNumber, soh.OrderDate, soh.TotalDue ) The result set is returned by the CTE s outer SELECT query, and the SP finishes up with a RETURN statement that sends a return code of 0 back to the caller: SELECT rt.SalesOrderNumber, rt.OrderDate, rt.TotalDue, rt.RunningTotal, (rt.RunningTotal / rt.GrandTotal) * 100 AS PercentTotal FROM RunningTotalCTE rt ORDER BY rt.SalesOrderNumber; RETURN 0;

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Summary

The running sum, or running total, is a very commonly used business reporting tool. A running sum calculates totals as of certain points in time (usually dollar amounts, and often calculated over days, months, quarters, or years but not always). In Listing 6-4, the running sum is calculated per order, for each day over the course of a given year.

Address Book Server: This third-party product predates the inclusion of address book services management in Mac OS X Server and is why we shy away from calling the Address Book services in Mac OS X Server Address Book Server. Address Book Server, from http://www.addressbookserver.com, allows you to publish your contacts to a server, synchronize them to that server, and then have them accessible from any account with access to that server, a feature known to Microsoft Exchange as a global address list (GAL). LDAP: Contacts are looked up based on LDAP. LDAP itself is described further in 4, although for the purposes of this chapter we will actually spend some time publishing contacts in LDAP and subscribing to them on a client computer. Once we have covered MobileMe and the Mac OS X Address Book services, we will cover leveraging LDAP to provide a global address list of sorts for all users.

The running sum generated in the sample gives you a total sales amount as of the date and time when each order is placed. When the first order is placed, the running sum is equal to the amount of that order. When the second order is placed, the running sum is equal to the amount of the first order plus the amount of the second order, and so on. Another closely related and often used calculation is the running average, which represents a calculated point-in-time average as opposed to a point-in-time sum. As an interesting aside, the ISO SQL standard allows you to use the OVER clause with aggregate functions like SUM and AVG. The ISO SQL standard allows the ORDER BY clause to be used with the aggregate function OVER clause, making for extremely efficient and compact running sum calculations. Unfortunately, SQL Server 2008 does not support this particular option, so you will still have to resort to subqueries and other less efficient methods of performing these calculations for now.

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