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Full Description
Tuning of SQL code is generally cheaper than changing the data model. Physical and configuration tuning involves a search for bottlenecks that often points to SQL code or data model issues. Building an appropriate data model and writing properly performing SQL code can give 100%+ performance improvement. Physical and configuration tuning often gives at most a 25% performance increase.
Gavin Powell shows that the central theme of Oracle10gR2 Performance Tuning is four-fold: denormalize data models to fit applications; tune SQL code according to both the data model and the application in relation to scalability; create a well-proportioned physical architecture at the time of initial Oracle installation; and most important, mix skill sets to obtain the best results.
Contents
Part I. Data Model Tuning
1. The Relational Database Model
2. Tuning the Relational Database Model
3. Different Forms of the Relational Database Model
4. A Brief History of Data Modeling
Part II. SQL Code Tuning
5. What is SQL?
6. Basic Concepts of Efficient SQL
7. Advanced Concepts of Efficient SQL
8. Common Sense Indexing
9. Oracle SQL Optimization and Statistics
10. How Oracle SQL Optimization Works
11. Overriding Optimizer Behavior Using Hints
12. How to Find Problem Queries
13. Automated SQL Tuning
Part III. Physical and Configuration Tuning
14. Installing Oracle and Creating a Database
15. Tuning Oracle Database File Structures
16. Object Tuning
17. Low Level Physical Tuning
18. Hardware Resource Usage Tuning
19. Tuning Network Usage
20. Oracle Partitioning and Parallelism
21. Ratios: Possible Symptoms of Problems
22. Wait Events
23. Latches
24. Tools and Utilities
Part IV. Tuning Everything at Once
25. The Wait Event Interface
26. The Database Control
27. Tuning With STATSPACK
Appendices
A. Sample Databases
B. Sample Scripts (script changes)
C. Sources of Information (accreditations)
D. SQL Tuning in Oracle Enterprise Manager
