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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

Avoiding row chaining


We encounter row chaining when the size of the row data is larger than the size of the database block used to store it. In this situation, the row is split across more than one database block, so, to read it we need to access more than one database block, resulting in greater I/O.

Getting ready

Before we can start, we have to alter an initialization parameter of the test database (assuming the default block size is 8KB in the test database):

ALTER SYSTEM SET db_16k_cache_size = 16m scope=both;

We need to set this parameter to allocate a memory buffer dedicated to storing database blocks of a different size; in this recipe, we will create a tablespace using a 16KB block size, so we need the corresponding buffer allocated to use it.

How to do it...

In this recipe, we will examine how to detect row chaining issues, and how to avoid chaining in our tables. Follow these steps:

  1. Connect to the HR schema:

    CONNECT hr@TESTDB/hr
    
  2. Create the table BIG_ROWS:

    CREATE TABLE HR.BIG_ROWS ...
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