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You can see in Figure 6-7 that all three techniques have a fairly linear performance graph, while Figure 6-8 shows a beautifully curved n2 graph.

DECLARE @DF AS INT; SET @DF = @@DATEFIRST; SET DATEFIRST 1;

anywhere. The cursor and identity solutions leave the results in a table for use; therefore, they generate considerable I/O. Of course, if you need to materialize the result set even when using the ROW_NUMBER function, you need to consider the added I/O cost. As an exercise, you can run an altered benchmark where you materialize the result set with the row numbers in all tests.

Consider the following example against table T1 with columns c1 and c2 , and table T2 with column x of the same data type as T1.c2 : SELECT c1 FROM dbo.T1 GROUP BY c1 HAVING EXISTS (SELECT * FROM dbo.T2 WHERE T2.x > MAX(T1.c2));

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The obvious conclusion is that you should always use the built-in ROW_NUMBER function, and, similarly, you should use the other ranking functions if you need the other types of ranking calculations. And if you have legacy code that uses the alternative techniques, by revising it to use the built-in functions, you can gain dramatic performance improvements, not to mention making the code signi cantly simpler.

WITH Dates AS ( SELECT CAST('20091227' AS DATETIME) AS dt UNION ALL SELECT '20091228' UNION ALL SELECT '20091229' UNION ALL SELECT '20091230' UNION ALL SELECT '20091231' UNION ALL SELECT '20100101' UNION ALL SELECT '20100102' UNION ALL SELECT '20100103' UNION ALL SELECT '20100104' UNION ALL SELECT '20100105' UNION ALL SELECT '20100106' UNION ALL SELECT '20100107' UNION ALL SELECT '20100108' UNION ALL SELECT '20100109' UNION ALL SELECT '20100110' UNION ALL SELECT '20100111' ) SELECT dt, dbo.ISOweek(dt) AS wk, DATENAME(weekday, dt) AS wd FROM Dates; SET DATEFIRST @DF;

As I mentioned earlier, row numbers have many practical applications that I ll demonstrate throughout the book. Here I d like to show one example where I use row numbers to achieve paging accessing rows of a result set in chunks. Paging is a common need in applications, allowing the user to navigate through chunks or portions of a result set. Paging with row numbers is also a handy technique. This example will also allow me to demonstrate additional optimization techniques that the optimizer applies when using the ROW_NUMBER function.

This generates the following output:

SQL Server computes the MAX aggregate in the outer query SELECT c1 FROM dbo.T1 GROUP BY c1 , although it is syntactically located in the inner one. The algebrizer makes this decision based on the aggregate's argument. The bottom line is that every aggregate needs to be bound to its hosting querythe place where it is correctly evaluated. This is known as aggregate binding.

Ad Hoc Paging Ad hoc paging is a request for a single page, where the input is the page number and page size (the number of rows in a page). When the user needs a particular single page and won t request additional pages, you implement a different solution than the one you would for multiple page requests. First you have to realize that you cannot access page n without physically accessing pages 1 through n 1. Bearing this in mind, the following code returns a page of rows from the Sales table ordered by qty and empid, given the page size and page number as inputs:

dt ----------------------2009-12-27 00:00:00.000 2009-12-28 00:00:00.000 2009-12-29 00:00:00.000 2009-12-30 00:00:00.000 2009-12-31 00:00:00.000 2010-01-01 00:00:00.000 2010-01-02 00:00:00.000 2010-01-03 00:00:00.000 2010-01-04 00:00:00.000 2010-01-05 00:00:00.000 2010-01-06 00:00:00.000 2010-01-07 00:00:00.000 2010-01-08 00:00:00.000 2010-01-09 00:00:00.000 2010-01-10 00:00:00.000 2010-01-11 00:00:00.000 wk ----------52 53 53 53 53 53 53 53 1 1 1 1 1 1 1 2 wd ----------Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday

DECLARE @pagesize AS INT, @pagenum AS INT; SET @pagesize = 5; SET @pagenum = 2; WITH SalesRN AS ( SELECT ROW_NUMBER() OVER(ORDER BY qty, empid) AS rownum, empid, mgrid, qty FROM dbo.Sales ) SELECT rownum, empid, mgrid, qty FROM SalesRN WHERE rownum > @pagesize * (@pagenum-1) AND rownum <= @pagesize * @pagenum ORDER BY rownum;

This code generates the following output:

This is perhaps the least obvious of all activities performed by the algebrizer. Let's consider an example against table T1 with columns c1 , c2 , and c3 : SELECT c1 + c2, MAX(c3) FROM dbo.T1 GROUP BY c1 + c2;

As mentioned, in SQL Server 2008 you simply use the DATEPART function with the ISO_WEEK part, like so:

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