Follow Techotopia on Twitter

On-line Guides
All Guides
eBook Store
iOS / Android
Linux for Beginners
Office Productivity
Linux Installation
Linux Security
Linux Utilities
Linux Virtualization
Linux Kernel
System/Network Admin
Programming
Scripting Languages
Development Tools
Web Development
GUI Toolkits/Desktop
Databases
Mail Systems
openSolaris
Eclipse Documentation
Techotopia.com
Virtuatopia.com

How To Guides
Virtualization
General System Admin
Linux Security
Linux Filesystems
Web Servers
Graphics & Desktop
PC Hardware
Windows
Problem Solutions

  




 

 

Chapter 7. Optimization

Table of Contents

7.1. Optimization Overview
7.1.1. MySQL Design Limitations and Tradeoffs
7.1.2. Designing Applications for Portability
7.1.3. What We Have Used MySQL For
7.1.4. The MySQL Benchmark Suite
7.1.5. Using Your Own Benchmarks
7.2. Optimizing SELECT and Other Statements
7.2.1. Optimizing Queries with EXPLAIN
7.2.2. Estimating Query Performance
7.2.3. Speed of SELECT Queries
7.2.4. WHERE Clause Optimization
7.2.5. Range Optimization
7.2.6. Index Merge Optimization
7.2.7. IS NULL Optimization
7.2.8. DISTINCT Optimization
7.2.9. LEFT JOIN and RIGHT JOIN Optimization
7.2.10. Nested Join Optimization
7.2.11. Outer Join Simplification
7.2.12. ORDER BY Optimization
7.2.13. GROUP BY Optimization
7.2.14. LIMIT Optimization
7.2.15. How to Avoid Table Scans
7.2.16. Speed of INSERT Statements
7.2.17. Speed of UPDATE Statements
7.2.18. Speed of DELETE Statements
7.2.19. Other Optimization Tips
7.3. Locking Issues
7.3.1. Locking Methods
7.3.2. Table Locking Issues
7.3.3. Concurrent Inserts
7.4. Optimizing Database Structure
7.4.1. Design Choices
7.4.2. Make Your Data as Small as Possible
7.4.3. Column Indexes
7.4.4. Multiple-Column Indexes
7.4.5. How MySQL Uses Indexes
7.4.6. The MyISAM Key Cache
7.4.7. MyISAM Index Statistics Collection
7.4.8. How MySQL Opens and Closes Tables
7.4.9. Drawbacks to Creating Many Tables in the Same Database
7.5. Optimizing the MySQL Server
7.5.1. System Factors and Startup Parameter Tuning
7.5.2. Tuning Server Parameters
7.5.3. Controlling Query Optimizer Performance
7.5.4. How Compiling and Linking Affects the Speed of MySQL
7.5.5. How MySQL Uses Memory
7.5.6. How MySQL Uses DNS
7.6. Disk Issues
7.6.1. Using Symbolic Links

Optimization is a complex task because ultimately it requires understanding of the entire system to be optimized. Although it may be possible to perform some local optimizations with little knowledge of your system or application, the more optimal you want your system to become, the more you must know about it.

This chapter tries to explain and give some examples of different ways to optimize MySQL. Remember, however, that there are always additional ways to make the system even faster, although they may require increasing effort to achieve.


 
 
  Published under the terms of the GNU General Public License Design by Interspire