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 the relational model and the SQL language in 1983, and has been performing database consultancy since then. The founder of RoughSea Ltd, he formerly worked for Oracle.Pascal L'Hermite 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.

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