By Itzik Ben-Gan
This booklet explores the robust services of T-SQL and permits you to take advantage of them to the max. The e-book tackles complex parts in T-SQL akin to joins, subqueries, shops systems, triggers, user-defined capabilities, listed perspectives, cascading activities, federated perspectives, hierarchial buildings and extra. The publication exhibits suggestions to universal difficulties either in SQL server 2000 and in earlier models. precise emphasis is put on practicular difficulties within the and on writing effective and good appearing code. The publication doesn't cease at ANSI-92 SQL but additionally represents good points which are specific to SQL Server, specifically SQL Server 2000. that will help you on your trip, the publication offers many puzzles (and pay attention, those are usually 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 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 details know-how. Moreau has been utilizing SQL Server because 1993. He writes on a regular basis for Pinnacle's Microsoft SQL Server specialist publication.
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Additional resources for Advanced Transact-SQL for SQL Server 2000
If you want to produce all possible combinations of jobs and departments, you can write the query shown in Listing 1−11 using the old−style syntax, which, in the case of cross joins, is also SQL−89 compliant. 24 Listing 1−11: Old−Style Cross Join Syntax SELECT deptname, jobdesc FROM Departments, Jobs The output of this query is shown in Table 1−6. Table 1−6: Output of an Old−Style Cross Join deptname Engineering Production Sanitation Management Engineering Production Sanitation Management Engineering Production Sanitation Management Engineering jobdesc Engineer Engineer Engineer Engineer Worker Worker Worker Worker Manager Manager Manager Manager Cleaner Production Cleaner Sanitation Cleaner Management Cleaner The SQL−92 syntax for this query is shown in Listing 1−2.
Deptno The output of this query is shown in Table 1−7. 00 deptno 400 200 100 400 400 NULL deptname Management Production Engineering Management Management NULL Notice that now Jeffrey appears in the output even though there is no match for his department in the Departments table because his row comes from the pre− served table. The Sanitation department, however, still doesn't appear in the output because its row is in the unpreserved table. Don't get confused with the NULLs in Jeffrey's details.
Here's the rubif any y is NULL, then the entire predicate is FALSE, because x <> NULL is FALSE. 50 Tip Be sure to filter out NULLs inside the inner query when using NOT IN. Take advantage of the ISNULL() and COALESCE() functions. ) Using Correlated Subqueries A correlated subquery is one where the "inner" SELECT is dependent upon a value from the "outer" SELECT. You've already seen a nested subquery, but there was nothing inside the inner query that linked it to the outer query. To turn this into a correlated subquery, you can add criteria to the WHERE clause of the inner query.
Advanced Transact-SQL for SQL Server 2000 by Itzik Ben-Gan