Oracle Database 11g Performance Tuning Recipes

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 Database 11g Performance Tuning Recipes delivers proven solutions to Oracle Database administrators grappling with vexing performance problems.

  Autorentext
  Sam R. Alapati is an experienced Oracle database administrator who holds the Oracle Certified Professional designation and the Hewlett-Packard UNIX System Administrator certification. He currently manages Oracle databases at the Boy Scouts of America's national headquarters in Los Colinas, Texas. Alapati has been dealing with databases for a long time, including the Ingres RDBMS in the mid-1980s. He is also well-versed in the Microsoft SQL Server, Sybase, and IBM DB2 database management systems.

  Inhalt

1. Optimizing Table Performance
2. Choosing and Optimizing Indexes
3. Optimizing Instance Memory
4. Monitoring System Performance
5. Minimizing System Contention
6. Analyzing Operating System Performance
7. Troubleshooting the Database
8. Creating Efficient SQL
9. Manually Tuning SQL
10. Tracing SQL Execution
11. Automated SQL Tuning
12. Execution Plan Optimization and Consistency
13. Configuring the Optimizer
14. Implementing Query Hints
15. Executing SQL in Parallel