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Oracle Database 11gR2 Performance Tuning Cookbook

You're reading from   Oracle Database 11gR2 Performance Tuning Cookbook Shifting your Oracle Database into top gear takes a lot of know-how and fine-tuning ability. The 80+ recipes in this Cookbook will give you those skills along with the ability to troubleshoot if things starts running slowly.

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Product type Paperback
Published in Jan 2012
Publisher Packt
ISBN-13 9781849682602
Length 542 pages
Edition 1st Edition
Languages
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Author (1):
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Ciro Fiorillo Ciro Fiorillo
Author Profile Icon Ciro Fiorillo
Ciro Fiorillo
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Table of Contents (21) Chapters Close

Oracle Database 11gR2 Performance Tuning Cookbook
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
1. Starting with Performance Tuning FREE CHAPTER 2. Optimizing Application Design 3. Optimizing Storage Structures 4. Optimizing SQL Code 5. Optimizing Sort Operations 6. Optimizing PL/SQL Code 7. Improving the Oracle Optimizer 8. Other Optimizations 9. Tuning Memory 10. Tuning I/O 11. Tuning Contention Dynamic Performance Views A Summary of Oracle Packages Used for Performance Tuning 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...

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