Data access patterns for database interaction in object-oriented applications

Author: (USA) Clifton Nock, translated by Yan Ailan et al.
Publisher:
Publish Date: 2004-06-01
Features: Effective and high-quality data access code is crucial for the performance and applicability of any enterprise application in the real world. To improve existing systems, there is no better way than to optimize data access code. Regardless of the database engine, platform, language, or application, developers always encounter the same relational database access challenges. In this book, Clifton Nock identifies 25 proven solutions and presents each one in a concise and user-friendly manner. These patterns comprehensively address various issues, including creating effective database-agnostic applications, hiding ambiguous database semantics from users, accelerating database resource initialization, simplifying development and maintenance, improving support for concurrency and transactions, and eliminating data access bottlenecks. Each pattern is illustrated with complete, commented Java/JDBC code examples and represented using UML diagrams for interfaces, classes, and relationships.
· Decoupling Pattern: Build cleaner and more reliable systems by decoupling data access code from other application logic.
· Resource Pattern: Manage relational database resources more efficiently.
· Input/Output Pattern: Simplify I/O operations by consistently transforming between "physical" relational data and its domain object representation.
· Caching Pattern: Use caching strategies to achieve an optimal balance between data access optimization and caching overhead.
· Concurrency Pattern: Implement concurrency and transactions more efficiently and reliably.
This book reveals techniques previously used only in the most robust data access solutions, making them accessible to every software developer, architect, and designer.