What can you do when database performance doesn't meet expectations? Before you turn to expensive hardware upgrades to solve the problem, reach for this book. Refactoring SQL Applications provides a set of tested options for making code modifications to dramatically improve the way your database applications function. Backed by real-world examples, you'll find quick fixes for simple problems, in-depth answers for more complex situations, and complete solutions for applications with extensive problems. Learn to:
- Determine if and where you can expect performance gains
- Apply quick fixes, such as limiting calls to the database in stored functions and procedures
- Refactor tasks, such as replacing application code by a stored procedure, or replacing iterative, procedural statements with sweeping SQL statements
- Refactor flow by increasing parallelism and switching business-inducted processing from synchronous to asynchronous
- Refactor design using schema extensions, regular views, materialized views, partitioning, and more
- Compare before and after versions of a program to ensure you get the same results once you make modifications
Refactoring SQL Applications teaches you to recognize and assess code that needs refactoring, and to understand the crucial link between refactoring and performance. If and when your application bogs down, this book will help you get it back up to speed.
About the Author
Stephane Faroult first discovered relational databases and the SQL language back in 1983. He joined Oracle France in their early days (after a brief spell with IBM and a bout of teaching at the University of Ottawa) and soon developed an interest in performance and tuning topics. After leaving Oracle in 1988, he briefly tried to reform and did a bit of operational research, but after one year, he succumbed again to relational databases. He has been continuously performing database consultancy since then, and founded RoughSea Ltd in 1998.
Pascal LHermite has been working with relational databases in OLTP, production and development environments on Oracle Databases for the past 12 years and on Microsoft SQL Server for the past 5 years.