By Itzik Ben-Gan
This booklet explores the robust services of T-SQL and enables you to take advantage of them to the max. The booklet tackles complex parts in T-SQL corresponding to joins, subqueries, shops methods, triggers, user-defined capabilities, listed perspectives, cascading activities, federated perspectives, hierarchial buildings and extra. The e-book indicates strategies to universal difficulties either in SQL server 2000 and in earlier types. precise emphasis is put on practicular difficulties within the and on writing effective and good appearing code. The e-book doesn't cease at ANSI-92 SQL but in addition represents beneficial properties which are specific to SQL Server, specially SQL Server 2000. that can assist you on your trip, the e-book offers many puzzles (and pay attention, those should not basic 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 knowledge warehousing. he's a well-liked 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 info know-how. Moreau has been utilizing SQL Server on the grounds that 1993. He writes frequently for Pinnacle's Microsoft SQL Server expert e-newsletter.
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Additional info for Advanced Transact-SQL for SQL Server 2000
The Dating Service Scenario Consider the Candidates table in Listing 1−30, which holds candidate information for a dating service. Listing 1−30: Schema Creation Script for the Candidates Table CREATE TABLE Candidates ( candname varchar(10) NOT NULL, gender char(1) NOT NULL CONSTRAINT CHK_gender CHECK (gender IN('F', 'M')) ) INSERT INTO Candidates VALUES('Neil' , 'M') INSERT INTO Candidates VALUES('Trevor' , 'M') INSERT INTO Candidates VALUES('Terresa', 'F') INSERT INTO Candidates VALUES('Mary' , 'F') The content of the Candidates table is shown in Table 1−24.
Without derived tables, you are often forced to use temporary tables, which can adversely affect your query's performance. This chapter will unlock the secrets behind derived tables and show you how to streamline your code. ) Understanding Subqueries Subqueries are the means by which you can do two or more SELECTs at the same time but return only one result set. They fall into two main categories: nested scalar subqueries and correlated subqueries. Although correlated subqueries are the most common, you'll start with nested subqueries in this section and then later build on your experience with them to create correlated subqueries.
To understand what is going on here, examine this plan step by step. 33 Step 1. Let Input1 = all rows from Employees. The output of Step 1 is shown in Table 1−15. 00 Step 2. Let Input2 = all rows from Departments WHERE deptno IS NULL. The output of Step 2 is shown in Table 1−16. Table 1−16: Output of Step 2 in an Old−Style Query Looking for Mismatches deptno deptname (Empty set) Step 3. Let Result = Input1 LEFT OUTER JOIN Input2. Since there are no rows in the second input, all the values that were supposed to come from it are replaced with NULLs, as the output in Table 1−17 shows.