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  • Book Overview & Buying IBM DB2 9.7 Advanced Application Developer Cookbook
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IBM DB2 9.7 Advanced Application Developer Cookbook

IBM DB2 9.7 Advanced Application Developer Cookbook

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IBM DB2 9.7 Advanced Application Developer Cookbook

IBM DB2 9.7 Advanced Application Developer Cookbook

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Overview of this book

With lots of new features, DB2 9.7 delivers one the best relational database systems in the market. DB2 pureXML optimizes Web 2.0 and SOA applications. DB2 LUW database software offers industry leading performance, scale, and reliability on your choice of platform on various Linux distributions, leading Unix Systems like AIX, HP-UX and Solaris and MS Windows platforms. This DB2 9.7 Advanced Application Developer Cookbook will provide an in-depth quick reference during any application's design and development. This practical cookbook focuses on advanced application development areas that include performance tips and the most useful DB2 features that help in designing high quality applications. This book dives deep into tips and tricks for optimized application performance. With this book you will learn how to use various DB2 features in database applications in an interactive way.
Table of Contents (15 chapters)
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IBM DB2 9.7 Advanced Application Developer Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Chapter 9. Advanced Performance Tuning Tips

In this chapter, we will focus on following recipes related to application performance tuning:

  • Understanding predicates in SQL statements

  • Improving INSERT performance

  • Writing effective SQL statements

Introduction

In this chapter, we will focus on various tips and techniques that can be used to enhance application performance. We will discuss different types of predicates that DB2 considers while compiling an SQL statement. We will also discuss how we can exploit the optimizer using better predicates. Then, we will discuss different ways to improve the INSERT performance. Towards the end, we will talk about many techniques that we can consider while writing better quality SQL statements.

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