Book Image

IBM DB2 9.7 Advanced Administration Cookbook

Book Image

IBM DB2 9.7 Advanced Administration Cookbook

Overview of this book

IBM DB2 LUW is a leading relational database system developed by IBM. 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. With lots of new features, DB2 9.7 delivers one the best relational database systems in the market. IBM DB2 9.7 Advanced Administration Cookbook covers all the latest features with instance creation, setup, and administration of multi-partitioned database. This practical cookbook provides step-by-step instructions to build and configure powerful databases, with scalability, safety and reliability features, using industry standard best practices. This book will walk you through all the important aspects of administration. You will learn to set up production capable environments with multi-partitioned databases and make the best use of hardware resources for maximum performance. With this guide you can master the different ways to implement strong databases with a High Availability architecture.
Table of Contents (21 chapters)
IBM DB2 9.7 Advanced Administration Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Configuring automatic database maintenance


The automatic maintenance of the database involves tools to simplify your administration tasks. You can configure this option anytime after you create the database.

Basically, you define maintenance schedules:

  • online: Period of low activity to allow for runstats

  • offline: Period when there is no activity (no user connecting), for backups and reorgs

You also define maintenance activities:

  • backups: DB2 determines if a backup is needed and schedules it during maintenance windows (offline)

  • reorgs: Used to reorganize tables for optimal table space use (offline)

  • runstats: Makes sure DB2 has a quantitative view of data for its optimizer to produce best results (online)

You can have configured notifications on maintenance jobs.

Getting ready

Identify the best time for maintenance windows, when there is low or no activity on this database. Choose which maintenance activities you want.

For backups, prepare your strategy first, between online or offline backups. In case...