SQL Tuning
- Main Page
- Table of content
- Copyright
- Dedication
- Foreword
- Preface
- Objectives of This Book
- Audience for This Book
- Structure of This Book
- Conventions Used in This Book
- Comments and Questions
- Acknowledgments
- Chapter 1. Introduction
- 1.1 Why Tune SQL?
- 1.2 Who Should Tune SQL?
- 1.3 How This Book Can Help
- 1.4 A Bonus
- 1.5 Outside-the-Box Solutions
- Chapter 2. Data-Access Basics
- 2.1 Caching in the Database
- 2.2 Tables
- 2.3 Indexes
- 2.4 Uncommon Database Objects
- 2.5 Single-Table Access Paths
- 2.6 Calculating Selectivity
- 2.7 Joins
- Chapter 3. Viewing and Interpreting Execution Plans
- 3.1 Reading Oracle Execution Plans
- 3.2 Reading DB2 Execution Plans
- 3.3 Reading SQL Server Execution Plans
- Chapter 4. Controlling Execution Plans
- 4.1 Universal Techniques for Controlling Plans
- 4.2 Controlling Plans on Oracle
- 4.3 Controlling Plans on DB2
- 4.4 Controlling Plans on SQL Server
- Chapter 5. Diagramming Simple SQL Queries
- 5.1 Why a New Method?
- 5.2 Full Query Diagrams
- 5.3 Interpreting Query Diagrams
- 5.4 Simplified Query Diagrams
- 5.5 Exercises (See Section A.1 for the solution to each exercise.)
- Chapter 6. Deducing the Best Execution Plan
- 6.1 Robust Execution Plans
- 6.2 Standard Heuristic Join Order
- 6.3 Simple Examples
- 6.4 A Special Case
- 6.5 A Complex Example
- 6.6 Special Rules for Special Cases
- 6.7 Exercise (See Section A.2 for the solution to the exercise.)
- Chapter 7. Diagramming and Tuning Complex SQL Queries
- 7.1 Abnormal Join Diagrams
- 7.2 Queries with Subqueries
- 7.3 Queries with Views
- 7.4 Queries with Set Operations
- 7.5 Exercise (See Section A.3 for the solution to the exercise.)
- Chapter 8. Why the Diagramming Method Works
- 8.1 The Case for Nested Loops
- 8.2 Choosing the Driving Table
- 8.3 Choosing the Next Table to Join
- 8.4 Summary
- Chapter 9. Special Cases
- 9.1 Outer Joins
- 9.2 Merged Join and Filter Indexes
- 9.3 Missing Indexes
- 9.4 Unfiltered Joins
- 9.5 Unsolvable Problems
- Chapter 10. Outside-the-Box Solutions to Seemingly Unsolvable Problems
- 10.1 When Very Fast Is Not Fast Enough
- 10.2 Queries that Return Data from Too Many Rows
- 10.3 Tuned Queries that Return Few Rows, Slowly
- Appendix A. Exercise Solutions
- A.1 Chapter 5 Exercise Solutions
- A.2 Chapter 6 Exercise Solution
- A.3 Chapter 7 Exercise Solution
- Appendix B. The Full Process, End to End
- B.1 Reducing the Query to a Query Diagram
- B.2 Solving the Query Diagram
- B.3 Checking the Execution Plans
- B.4 Altering the Database to Enable the Best Plan
- B.5 Altering the SQL to Enable the Best Plan
- B.6 Altering the Application
- B.7 Putting the Example in Perspective
- Glossary
- Colophon
- Index
- Index SYMBOL
- Index A
- Index B
- Index C
- Index D
- Index E
- Index F
- Index G
- Index H
- Index I
- Index J
- Index K
- Index L
- Index M
- Index N
- Index O
- Index P
- Index Q
- Index R
- Index S
- Index T
- Index U
- Index V
- Key #2: Improve Your Processes
- Key #4: Base Decisions on Data and Facts
- Making Improvements That Last: An Illustrated Guide to DMAIC and the Lean Six Sigma Toolkit
- The Experience of Making Improvements: What Its Like to Work on Lean Six Sigma Projects
- Six Things Managers Must Do: How to Support Lean Six Sigma