Oracle Database 11g Performance Tuning Recipes [electronic resource] : A Problem-Solution Approach /
Alapati, Sam.author.
Kuhn, Darl.author.
Padfield, Bill.author.
Performance problems are rarely "problems" per se. They are more often "crises" during which you’re pressured for results by a manager standing outside your cubicle while your phone rings with queries from the help desk. You won’t have the time for a leisurely perusal of the manuals, nor to lean back and read a book on theory. What you need in that situation is a book of solutions, and solutions are precisely what Oracle Database 11g Performance Tuning Recipes delivers. Oracle Database 11g Performance Tuning Recipes is a ready reference for database administrators in need of immediate help with performance issues relating to Oracle Database. The book takes an example-based approach, wherein each chapter covers a specific problem domain. Within each chapter are "recipes," showing by example how to perform common tasks in that chapter’s domain. Solutions in the recipes are backed by clear explanations of background and theory from the author team. Whatever the task, if it’s performance-related, you’ll probably find a recipe and a solution in this book. Provides proven solutions to real-life Oracle performance problems Offers relevant background and theory to support each solution Written by a team of experienced database administrators successful in their careers.
Title Page; Copyright Page; Dedication Page; Contents at a Glance; Table of Contents; About the Authors; About the Technical Reviewer; Acknowledgments; Personal Acknowledgments; CHAPTER 1 Optimizing Table Performance; 1-1. Building a Database That Maximizes Performance; Problem; Solution; How It Works; 1-2. Creating Tablespaces to Maximize Performance; Problem; Solution; How It Works; 1-3. Matching Table Types to Business Requirements; Problem; Solution; How It Works; 1-4. Choosing Table Features for Performance; Problem; Solution; How It Works
1-5. Avoiding Extent Allocation Delays When Creating TablesProblem; Solution; How It Works; 1-6. Maximizing Data Loading Speeds; Problem; Solution; How It Works; 1-7. Efficiently Removing Table Data; Problem; Solution; How It Works; 1-8. Displaying Automated Segment Advisor Advice; Problem; Solution; How It Works; 1-9. Manually Generating Segment Advisor Advice; Problem; Solution; How It Works; 1-10. Automatically E-mailing Segment Advisor Output; Problem; Solution; How It Works; 1-11. Rebuilding Rows Spanning Multiple Blocks; Problem; Solution; How It Works; 1-12. Freeing Unused Table Space
ProblemSolution; How It Works; 1-13. Compressing Data for Direct Path Loading; Problem; Solution; How It Works; 1-14. Compressing Data for All DML; Problem; Solution; How It Works; 1-15. Compressing Data at the Column Level; Problem; Solution; How It Works; 1-16. Monitoring Table Usage; Problem; Solution; How It Works; CHAPTER 2 Choosing and Optimizing Indexes; 2-1. Understanding B-tree Indexes; Problem; Solution; Scenario 1: All Data Lies in the Index Blocks; Scenario 2: All Information Is Not Contained in the Index; Scenario 3: Only the Table Blocks Are Accessed; How It Works
2-2. Deciding Which Columns to IndexProblem; Solution; How It Works; 2-3. Creating a Primary Key Index; Problem; Solution; How It Works; Create Index and Constraint Separately; Create Constraint Inline; Create Constraint Out of Line; 2-4. Creating a Unique Index; Problem; Solution; How It Works; Use CREATE TABLE; Create Index First, Then Add Constraint; Creating Only a Unique Index; 2-5. Indexing Foreign Key Columns; Problem; Solution; How It Works; 2-6. Deciding When to Use a Concatenated Index; Problem; Solution; How It Works; 2-7. Reducing Index Size Through Compression; Problem; Solution
How It Works2-8. Implementing a Function-Based Index; Problem; Solution; How It Works; 2-9. Indexing a Virtual Column; Problem; Solution; How It Works; 2-10. Avoiding Concentrated I/O for Index; Problem; Solution; How It Works; 2-11. Adding an Index Without Impacting Existing Applications; Problem; Solution; How It Works; 2-12. Creating a Bitmap Index in Support of a Star Schema; Problem; Solution; How It Works; 2-13. Creating a Bitmap Join Index; Problem; Solution; How It Works; 2-14. Creating an Index-Organized Table; Problem; Solution; How It Works; 2-15. Monitoring Index Usage; Problem
Solution
Includes index.
Performance problems are rarely "problems" per se. They are more often "crises" during which you’re pressured for results by a manager standing outside your cubicle while your phone rings with queries from the help desk. You won’t have the time for a leisurely perusal of the manuals, nor to lean back and read a book on theory. What you need in that situation is a book of solutions, and solutions are precisely what Oracle Database 11g Performance Tuning Recipes delivers. Oracle Database 11g Performance Tuning Recipes is a ready reference for database administrators in need of immediate help with performance issues relating to Oracle Database. The book takes an example-based approach, wherein each chapter covers a specific problem domain. Within each chapter are "recipes," showing by example how to perform common tasks in that chapter’s domain. Solutions in the recipes are backed by clear explanations of background and theory from the author team. Whatever the task, if it’s performance-related, you’ll probably find a recipe and a solution in this book. Provides proven solutions to real-life Oracle performance problems Offers relevant background and theory to support each solution Written by a team of experienced database administrators successful in their careers.
Oracle (Computer file)
Database management.
Database Management.