Database Tuning: Principles, Experiments, and Troubleshooting Techniques

Front Cover
Elsevier, Jun 7, 2002 - Computers - 440 pages

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.

  • 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
 

Contents

CHAPTER 1 BASIC PRINCIPLES
1
CHAPTER 2 TUNING THE GUTS
9
CHAPTER 3 INDEX TUNING
77
CHAPTER 4 TUNING RELATIONAL SYSTEMS
123
CHAPTER 5 COMMUNICATING WITH THE OUTSIDE
165
CHAPTER 6 CASE STUDIES FROM WALL STREET
185
CHAPTER 7 TROUBLESHOOTING
213
CHAPTER 8 TUNING ECOMMERCE APPLICATIONS
243
APPENDIX A REALTIME DATABASES
301
APPENDIX B TRANSACTION CHOPPING
305
APPENDIX C TIME SERIES ESPECIALLY FOR FINANCE
325
APPENDIX D UNDERSTANDING ACCESS PLANS
337
APPENDIX E CONFIGURATION PARAMETERS
349
Glossary
361
Index
387
Author Biographies
416

TECHNIQUES SUCCESSES AND MISTAKES
261
CHAPTER 10 DATA WAREHOUSE TUNING
275

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About the author (2002)

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

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