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Database Tuning - 1st Edition - ISBN: 9781558607538, 9780080503783

Database Tuning

1st Edition

Principles, Experiments, and Troubleshooting Techniques

Authors: Dennis Shasha Philippe Bonnet
Paperback ISBN: 9781558607538
eBook ISBN: 9780080503783
Imprint: Morgan Kaufmann
Published Date: 29th May 2002
Page Count: 440
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Table of Contents

Chapter 1: Basic Principles
Chapter 2: Tuning The Guts
Chapter 3: Index Tuning
Chapter 4: Tuning Relational Systems
Chapter 5: Communicating With The Outside
Chapter 6: Case Studies From Wall Street
Chapter 7: Troubleshooting by Alberto Lerner
Chapter 8: Tuning E-Commerce Applications
Chapter 9: Celko On Data Warehouses: Techniques, Successes, and Mistakes by Joe Celko
Chapter 10: Data Warehouse Tuning
Appendix A: Real-Time Databases
Appendix B: Transaction Chopping
Appendix C: Time Series, Especially For Finance
Appendix D: Understanding Access Plans
Appendix E: Configuration Parameters


Tuning your database for optimal performance means more than following a few short steps in a vendor-specific guide. For maximum improvement, you need a broad and deep knowledge of basic tuning principles, the ability to gather data in a systematic way, and the skill to make your system run faster. This is an art as well as a science, and Database Tuning: Principles, Experiments, and Troubleshooting Techniques will help you develop portable skills that will allow you to tune a wide variety of database systems on a multitude of hardware and operating systems. Further, these skills, combined with the scripts provided for validating results, are exactly what you need to evaluate competing database products and to choose the right one.

Key Features

  • Forward by Jim Gray, with invited chapters by Joe Celko and Alberto Lerner
  • Includes industrial contributions by Bill McKenna (RedBrick/Informix), Hany Saleeb (Oracle), Tim Shetler (TimesTen), Judy Smith (Deutsche Bank), and Ron Yorita (IBM)
  • Covers the entire system environment: hardware, operating system, transactions, indexes, queries, table design, and application analysis
  • Contains experiments (scripts available on the author's site) to help you verify a system's effectiveness in your own environment
  • Presents special topics, including data warehousing, Web support, main memory databases, specialized databases, and financial time series
  • Describes performance-monitoring techniques that will help you recognize and troubleshoot problems


database professionals, database administrators, database programmers, upper division or graduate-level computer science students taking courses in database technologies, machine learning, and artificial intelligence


No. of pages:
© Morgan Kaufmann 2002
29th May 2002
Morgan Kaufmann
Paperback ISBN:
eBook ISBN:


"For the novice, this book gives sage advice on the performance issues of SQL-level logical database design that cuts across all systems. For me at least, the physical database design was particularly interesting, because the book presents the implications of design choices on IBM, Oracle, and Microsoft systems. These systems are quite different internally, and the book's example will surprise even the systems' implementers."—Jim Gray, Microsoft

"Shasha and Bonnet prove the value of applying timeless principles to everchanging technology. The unique wealth of practical ideas, facts, and examples equip database practitioners "in the trenches" like no other resource. Chapter 2 alone is worth the price of the book."—Bob Badour, Online Curmudgeon

Ratings and Reviews

About the Authors

Dennis Shasha

Dennis Shasha is the author or coauthor of seven books, including this book's predecessor Database Tuning: A principal Approach (Prentice Hall) and Out of Their Minds: The Lives and Discoveries of 15 Great Computer Scientists (Copernius/Springer-Verlag), numerous journal and conference papers, and four patents. He also writes monthly puzzle columns for Scientific American and Dr. Dobb's Journal.

Philippe Bonnet

Philippe Bonnet is an experiment database researcher. He directs code development of the open source object-relational database system Predator developed at Cornell.