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

Array processing and bulk-collect


In this recipe, we will see how to use the BULK COLLECT and FORALL statements to speed up the processing of huge amounts of data in a single statement.

We will also see how to limit the amount of memory used for these statements, to avoid a decrease in performance due to reduced available memory for other processes.

How to do it...

The following steps will demonstrate array processing:

  1. Connect to the SH schema:

    CONNECT sh@TESTDB/sh
    
  2. Create a MY_CUSTOMERS table to store the ID and FIRST_NAME of the customers:

    CREATE TABLE sh.MY_CUSTOMERS (
      CUST_ID NUMBER,
      CUST_FIRST_NAME VARCHAR2(20));
    
  3. Populate the MY_CUSTOMERS table using an INSERT statement inside a FOR loop:

    SET TIMING ON
    BEGIN
      FOR aRow IN (SELECT CUST_ID, CUST_FIRST_NAME FROM CUSTOMERS)
      LOOP
        INSERT INTO sh.MY_CUSTOMERS (CUST_ID, CUST_FIRST_NAME)
          VALUES (aRow.CUST_ID, aRow.CUST_FIRST_NAME);
      END LOOP;
    END;
    /
    SET TIMING OFF
    
  4. Truncate the MY_CUSTOMERS table to empty it:

    TRUNCATE TABLE sh.MY_CUSTOMERS...