Book Image

Oracle Database 11gR2 Performance Tuning Cookbook

By : Ciro Fiorillo
Book Image

Oracle Database 11gR2 Performance Tuning Cookbook

By: Ciro Fiorillo

Overview of this book

Oracle's Database offers great performance, scalability, and many features for DBAs and developers. Due to a wide choice of technologies, successful applications are good candidates to run into performance issues and when a problem arises it's very difficult to identify the cause and the right solution to the problem. The Oracle Database 11g R2 Performance Tuning Cookbook helps DBAs and developers to understand every aspect of Oracle Database that can affect performance. You will be guided through implementing the correct solution in a proactive way before problems arise, and how to diagnose issues on your Oracle database-based solutions. This fast-paced book offers solutions starting from application design and development, through the implementation of well-performing applications, to the details of deployment and delivering best-performance databases. With this book you will quickly learn to apply the right methodology to tune the performance of an Oracle Database, and to optimize application design and SQL and PL/SQL code. By following the real-world examples you will see how to store your data in correct structures and access and manipulate them at a lightning speed. You will learn to speed up sort operations, hack the optimizer and the data loading process, and diagnose and tune memory, I/O, and contention issues. The purpose of this cookbook is to provide concise recipes, which will help you to build and maintain a very high-speed Oracle Database environment.
Table of Contents (21 chapters)
Oracle Database 11gR2 Performance Tuning Cookbook
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
Index

Introduction


In the previous chapter, we saw how to design an application which performs well (or has less chance to perform badly) by applying some simple rules of thumb, namely, connection management, reusable code, reducing requests to the database, schema denormalization, and the use of dynamic SQL.

In this chapter, we will look at some structures available in Oracle databases that store data and improve the access time—that is, the time needed to retrieve data—when the data is queried.

The first recipes relate to tables—the most used storage structure—with useful tips to avoid bottlenecks related to data stored in tables.

We will then move on to indexes (and inspect different index flavors). At the end of the chapter, we will finally see recipes related to index organized tables and partitioning options. Choosing the right structure to store data can drastically improve the performance of applications; using the right index can speed up our queries, as can introducing drawbacks in insert...