Oracle Performance Tuning for 10gR2
Gavin Powell - Collection Data Management
Résumé
Features:
- Fully updated for version iogR2 and provides all necessary transition material from version 91
- Includes all three aspects of Oracle database tuning: data model tuning, SQL & PL/SQL code tuning, physical plus configuration tuning.
- Contains experienced guidance and real-world examples using large data sets.
- Emphasizes development as opposed to operating system perspective
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 SOL code or data model issues. Building an appropriate data model and writing properly performing SQL code can give a 100%+ performance improvement. Physical and configuration tuning often only 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 suit applications; tune SOL 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.
L'auteur - Gavin Powell
Gavin Powell BSc. Comp.Sci., OCR (Oracle Certified Professional), author of Oracle High Performance Tuning for 9i and 10g and Oracle SQL with Carol McCullogh-Dieter, has nineteen years of diverse experience in database administration and development, using both relational and object databases. His applications experience is both procedural and object-oriented. Powell has consulted for software vendors, internet dot-corns, accounting, banking, financial services, travel, construction, retail, mining, shipping, education and training companies in various parts of the world.
Sommaire
- Preface
- Introduction
- Data Model Tuning
- SQL Code Tuning
- Physical and Configuration Tuning
- Tuning Everything at Once
- Appendices
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Digital Press |
Auteur(s) | Gavin Powell |
Collection | Data Management |
Parution | 27/10/2006 |
Édition | 2eme édition |
Nb. de pages | 904 |
Format | 19 x 23,5 |
Couverture | Broché |
Poids | 1601g |
Intérieur | Noir et Blanc |
EAN13 | 9781555583453 |
ISBN13 | 978-1-55558-345-3 |
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