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

Avoiding full table scans


In this recipe, we will see what a full table scan is, how to avoid it, and when to choose a full table scan over other methods.

How to do it...

Let's start by creating two tables from the data in the SALES table of the SH schema:

  1. Connect to the SH schema:

    CONNECT sh@TESTDB/sh
    
  2. Create the MY_SALES_ALL table:

    CREATE TABLE sh.MY_SALES_ALL AS
      SELECT ROWNUM AS ID, X.* FROM sh.SALES X;
    
  3. Create the MY_SALES_2 table:

    CREATE TABLE sh.MY_SALES_2 AS
      SELECT * FROM sh.MY_SALES_ALL NOLOGGING;
    
  4. Compute statistics on the tables we just created:

    EXEC DBMS_STATS.GATHER_TABLE_STATS('SH', 'MY_SALES_ALL',
      estimate_percent => 100,
      method_opt => 'for all columns size 1');
    EXEC DBMS_STATS.GATHER_TABLE_STATS('SH', 'MY_SALES_2',
      estimate_percent => 100,
      method_opt => 'for all columns size 1');
    
  5. Verify the database blocks used by the two tables:

    SELECT BLOCKS FROM DBA_TABLES
      WHERE TABLE_NAME IN ('MY_SALES_ALL', 'MY_SALES_2');
    
  6. Delete some rows from MY_SALES_2, resulting...