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

Compressing indexes


In this recipe, we will see another option we can use during index creation or rebuild—the COMPRESS parameter—and how it could affect the performance when using the index.

We will use the same table and index created in the previous recipe, Index Rebuilding.

How to do it…

If you have dropped the table, you have to recreate it as mentioned in the following steps:

  1. Open a SQL*Plus session and connect to the SH schema:

    CONNECT sh@TESTDB/sh
    
  2. Create a table to test:

    CREATE TABLE BIG_CUSTOMERS AS SELECT * FROM CUSTOMERS;
    
  3. Insert more than 5 million records:

    BEGIN
      FOR j IN 1..100 LOOP
        INSERT INTO BIG_CUSTOMERS SELECT * FROM CUSTOMERS;
      END LOOP;
      COMMIT;
    END;
    
  4. Create an index on the table:

    CREATE INDEX IX1_BIG_CUSTOMERS
      ON BIG_CUSTOMERS (CUST_LAST_NAME, CUST_FIRST_NAME);
    
  5. Analyze the index to gather statistics:

    ANALYZE INDEX IX1_BIG_CUSTOMERS VALIDATE STRUCTURE;
    
  6. Inspect statistics on the index:

    SELECT HEIGHT, BLOCKS, BTREE_SPACE, USED_SPACE,
    OPT_CMPR_COUNT, OPT_CMPR_PCTSAVE...