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rownum -------------------6 7 8 9 10 empid ---------D K E I A mgrid ---------Y Y Z X Z qty ----------200 200 250 250 300

WITH Dates AS ( SELECT CAST(dt AS DATE) AS dt FROM ( VALUES ('20091227'), ('20091228'), ('20091229'),

The CTE called SalesRN assigns row numbers to the sales rows based on the order of qty and empid. The outer query lters only the target page s rows using a formula based on the input page size and page number. You might be concerned that the query appears to calculate row numbers for all rows and then lter only the requested page s rows. This might seem to require a full table scan. With very large tables this, of course, would be a serious performance issue. However, before getting concerned, examine the execution plan for this query, which is shown in Figure 6-9.

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The use of the expression c1 + c2 in the SELECT list is legitimate, although had we placed just c1 in this list, the query would have been semantically incorrect. The reason for this is that grouped queries (for example, those with an explicit GROUP BY or HAVING clause) have different semantics than nongrouped ones. In particular, all nonaggregated columns or expressions in the SELECT list of a query with GROUP BY must have a direct match in the GROUP BY list, and the process of verifying this fact is known as grouping binding . Unfortunately, explicit clauses such as GROUP BY or HAVING aren't the only factors that might force a SELECT list to become grouped. According to SQL's rules, just the presence of an aggregate function that binds to a particular list makes that SELECT list grouped, even if it has no GROUP BY or HAVING clauses. Here is a simple example: SELECT c1, MAX(c2) FROM dbo.T1;

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('20091230'), ('20091231'), ('20100101'), ('20100102'), ('20100103'), ('20100104'), ('20100105'), ('20100106'), ('20100107'), ('20100108'), ('20100109'), ('20100110'), ('20100111') ) AS D(dt) ) SELECT dt, DATEPART(ISO_WEEK, dt) AS wk, DATENAME(weekday, dt) AS wd FROM Dates;

The gure shows only the left part of the plan starting with the Sequence Project, which assigns the row numbers If you look at the properties of the Top operator, you can see that the plan scans only the rst 10 rows of the table Because the code requests the second page of ve rows, only the rst two pages are scanned Then the Filter operator lters only the second page (rows 6 through 10) Another way to demonstrate that the whole table is not scanned is by populating the table with a large number of rows and running the query with the SET STATISTICS IO option turned on You will notice by the number of reads reported that when you request page n, regardless of the size of the table, only the rst n pages of rows are scanned.

This is a grouped SELECT, because there is a MAX aggregate. Because it is a grouped SELECT, the use of the nonaggregated column c1 is illegal and the query is incorrect. An important role of the algebrizer is to identify any semantic errors in the statement. The following example shows that this is a nontrivial task for some queries with aggregates: SELECT c1, (SELECT T2.y FROM dbo.T2 WHERE T2.x = MAX(T1.c2)) FROM dbo.T1;

Expressing date and time literals for data entry in T-SQL is a tricky business When you need to express a literal, you typically use a character string that is implicitly convertible to the target type If a string appears in a context where a date and time type is expected for example, as the target value of a date and time column in an INSERT or UPDATE statement it will be implicitly converted to the target type Also, when expressions contain operands with different data types, normally the highest in precedence determines the data type of all operands Date and time types have higher precedence than character strings For example, if you compare two values one of which is of a date and time type and the other is of a character string type the character string gets implicitly converted to the date and time type .

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