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

Enabling parallel SQL


In the recent past, we have seen the passage from the megahertz era to the multi-core era in microprocessor design. Even laptops and small devices have multi-core CPUs available that can take advantage of applications accomplishing work in parallel.

In this recipe we will see how to enable parallel execution of queries to speed them up.

Getting ready

To observe a performance gain in this recipe, we obviously need a machine with a minimum of two cores. A single-core machine, using parallel SQL execution leads to a dip in performance when compared to using normal sequential execution.

How to do it...

In this recipe, we will use a query that returns about 1 million records. To avoid displaying this huge amount of data in our terminal, we will need to copy the code in a SQL script file, naming it TEST.SQL, for example, and then execute it using the @ operator from SQL*Plus:

@TEST.SQL

For clarity, the content of the script is split into the following steps:

  1. Connect to the database...