OnDemand SQL Performance Analysis Simplified on DB2 for i5/OS in V5R4
An IBM Redbooks publication
Note: This is publication is now archived. For reference only.
Abstract
The goal of database performance tuning is to minimize the response time of your queries. It is also to optimize your server’s resources by minimizing network traffic, disk I/O, and CPU time.
This IBM IBM Redbooks publication helps you to understand the basics of identifying and tuning the performance of Structured Query Language (SQL) statements using IBM DB2 for i5/OS . DB2 for i5/OS provides a comprehensive set of tools that help technical analysts tune SQL queries. The SQL Performance Monitors are part of the set of tools that IBM i5/OS provides for assisting in SQL performance analysis since Version 3 Release 6. These monitors help to analyze database performance problems after SQL requests are run. In V5R4 of i5/OS iSeries Navigator provides a series of new tools to do SQL Performance analysis that we cover in this book. Among the new tools that we will covering are:
- Capability of visualizing the contents of the SQE Plan Cache
- SQE Plan Cache Snapshots
- The new reporting tool - Dashboard
- OnDemand Index Advisor
- Evaluators such as Index and Materialized Query Tables
This book also presents tips and techniques based on the SQL Performance Monitors and other tools, such as Visual Explain and all the tools provided in V5R4. You’ll find this guidance helpful in gaining the most out of both DB2 for i5/OS and query optimizer when using SQL.
Table of Contents
Chapter 1. Determining whether you have an SQL performance problem
Chapter 2. DB2 for i5/OS performance basics
Chapter 3. Overview of tools to analyze database performance
Chapter 4. Gathering SQL performance data
Chapter 5. Analyzing SQL performance data using iSeries Navigator
Chapter 6. Custom Database Monitor Analysis
Chapter 7. SQE Plan Cache and SQE Plan Cache Snapshots
Chapter 8. Analyzing database performance data with Visual Explain
Chapter 9. Index Advisor
Chapter 10. SQL Performance Analysis: A Methodology
Chapter 11. Environmental settings that affect SQL Performance
Chapter 12. Tips to pro-actively prevent SQL performance problems
Chapter 13. Using Collection Services data to identify jobs using system resources
Appendix A. Tools to check a performance problem