Inside Microsoft SQL Server 2008 : T-SQL querying /
Ben-Gan, Itzik.
Redmond, Wash. : Microsoft Press,
c2009.
Master the mechanics behind advanced querying and tuning - for faster, more scalable code. Tackle the toughest set-based querying and query tuning problems - guided by an author team with in-depth, inside knowledge of T-SQL. Deepen your understanding of architecture and internals - and gain practical approaches and advanced techniques to optimize your code's performance. Discover how to: move from procedural programming to the language of sets and logic, optimize query tuning with a top-down methodology, assess algorithmic complexity to predict performance, compare data-aggregation techniques, including new grouping sets, manage data modification - insert, delete, update, merge - for performance, write more efficient queries against partitioned tables, work with graphs, trees, hierarchies, and recursive queries, and use pure-logic puzzles to sharpen your problem-solving skills.
Includes index.
Authors: Itzik Ben-Gan, Lubor Kollar, Dejan Sarka, Steve Kass.
Chapter 1: Logical Query Processing -- Chapter 2: Set Theory and Predicate Logic -- Chapter 3: The Relational Model -- Chapter 4: Query Tuning -- Chapter 5: Algorithms  and Complexity -- Chapter 6: Subqueries, Table Expressions and Ranking Functions -- Chapter 7: Joins and Set Operations -- Chapter 8: Aggregating and Pivoting Data -- Chapter 9: TOP and APPLY -- Chapter 10: Data Modification -- Chapter 11: Querying Partitioned Tables -- Chapter 12: Graphs, Trees, Hierarchies and Recursive Queries -- Appendix A: Logic Puzzles.
Master the mechanics behind advanced querying and tuning - for faster, more scalable code. Tackle the toughest set-based querying and query tuning problems - guided by an author team with in-depth, inside knowledge of T-SQL. Deepen your understanding of architecture and internals - and gain practical approaches and advanced techniques to optimize your code's performance. Discover how to: move from procedural programming to the language of sets and logic, optimize query tuning with a top-down methodology, assess algorithmic complexity to predict performance, compare data-aggregation techniques, including new grouping sets, manage data modification - insert, delete, update, merge - for performance, write more efficient queries against partitioned tables, work with graphs, trees, hierarchies, and recursive queries, and use pure-logic puzzles to sharpen your problem-solving skills.
SQL server.
Client/server computing.
Relational databases.
Inside Microsoft SQL Server 2008.