By Itzik Ben-Gan
This ebook explores the robust services of T-SQL and permits you to take advantage of them to the max. The ebook tackles complex components in T-SQL similar to joins, subqueries, shops tactics, triggers, user-defined capabilities, listed perspectives, cascading activities, federated perspectives, hierarchial buildings and extra. The e-book indicates suggestions to universal difficulties either in SQL server 2000 and in earlier models. specified emphasis is put on practicular difficulties within the and on writing effective and good appearing code. The ebook doesn't cease at ANSI-92 SQL but additionally represents positive factors which are specific to SQL Server, particularly SQL Server 2000. that can assist you on your trip, the e-book offers many puzzles (and pay attention, those should not uncomplicated ones) and proposed solutions.About the authors:Itzik Ben-Gan is a senior SQL Server teacher and advisor with ten years of expertise in networking, improvement, databases and information warehousing. he's a favored columnist and contributing editor for SQL Server journal, and is a Microsoft SQL Server MVP.Dr. Tom Moreau is President of Brockman Moreau Consulting, Inc. with greater than 16 years adventure in details know-how. Moreau has been utilizing SQL Server on account that 1993. He writes on a regular basis for Pinnacle's Microsoft SQL Server expert e-newsletter.
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Extra resources for Advanced Transact-SQL for SQL Server 2000
OrderID >= 11000 Listing 1−44 shows the output of STATISTICS IO. Listing 1−44: I/O Measures for a Query with an Incompletely Qualified Filter Criteria Table 'Order Details'. Scan count 78, logical reads 158, physical reads 0, read− ahead reads 0. Table 'Orders'. Scan count 1, logical reads 3, physical reads 0, read−ahead reads 0. Listing 1−45 shows the SHOWPLAN output. [OrderID]) ORDERED FORWARD) You can revise this query so that it uses a completely qualified filter criteria, as shown in Listing 1−46.
That's why you need a subquery. Country = 'UK' The queries in Listings 2−4 and 2−5 have exactly the same performance in SQL Server because the optimizer generates the same query plan for each. The opposite of IN is NOT IN. , you would use the code in Listing 2−6. Listing 2−6: Using the NOT IN Predicate as a Subquery SELECT COUNT (*) FROM Orders WHERE CustomerID NOT IN ( SELECT CustomerID FROM Customers WHERE Country = 'UK' ) Be careful using NOT IN when the inner query contains NULL values. Intuitively, you may think that you would get all of the rows that were not retrieved with the IN predicate, but in actuality, you will get no rows returned.
The output of Step 3 is shown in Table 1−21. 00 Step 4. Let Result = filter Input3WHERE empid IS NULL. The output of Step 4 is shown in Table 1−22. Table 1−22: Output of Step 4 in an SQL−92 Query Looking for Mismatches deptno deptname empid empname deptno jobid salary 300 Sanitation NULL NULL NULL NULL NULL The nice thing about the SQL−92 syntax is that you can request a different order of execution by including the filter in the join condition, as shown in Listing 1−29. deptno IS NULL 36 The output of this query is shown in Table 1−23.