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

Migrating to index organized tables


There are situations in which we access a table only—or mainly—using the primary key value. Situations such as a code lookup table, or a table containing inverted indexes, fit well in this definition.

In this recipe, we will see how to combine a heap table and a B-tree index in what is called an index organized table, and what benefits—and caveats—we have in performance when adopting this structure to store our data.

How to do it...

The following steps will demonstrate index organized tables:

  1. Connect to the database as user SH:

    CONNECT sh@TESTDB/sh
    
  2. Create an index organized table based on the COUNTRIES table of the SH schema:

    CREATE TABLE IOT_COUNTRIES (
     COUNTRY_ID NUMBER NOT NULL,
     COUNTRY_ISO_CODE CHAR(2) NOT NULL,
     COUNTRY_NAME VARCHAR2(40) NOT NULL,
     COUNTRY_SUBREGION VARCHAR2(30) NOT NULL,
     COUNTRY_SUBREGION_ID NUMBER NOT NULL,
     COUNTRY_REGION VARCHAR2(20) NOT NULL,
     COUNTRY_REGION_ID NUMBER NOT NULL,
     COUNTRY_TOTAL VARCHAR2(11) NOT NULL,
     COUNTRY_TOTAL_ID...