Data Access Patterns Database Interactions In Object-Oriented Applications

Preface Data is a major element in the foundation of any enterprise.Accountants make and defend decisions using financial data.Manufacturers and purchasers rely on stock and order data to temperinventory. Salespeople study customer history data. Executive managementdepends on data to examine company controls. Enterprise software enables these key decision-makers to read, write,and organize data. Data access facilities within business applicationsplay an important role in their quality and usability. Developers mustexert considerable effort to design efficient data access code,otherwise an entire application may appear to be slow or prone todefects. Data Access Patterns Enterprise software developers tackle the same dataaccess problems regardless of their application domain. These are someexamples of common issues that arise when designing data accesscomponents: Applications need to work with multiple database products. User interfaces need to hide obscure database semantics. Databaseresource initialization is slow. Data access details make application code difficult to develop and maintain. Applications need to cache data that they access frequently. Multiple users need to access the same data concurrently. There are common solutions to these problems. Some ofthese solutions are intuitive and have been discovered independently byliterally thousands of developers. Others are more obscure, and havebeen solved in only the most robust data access solutions. Data access patterns describe generic strategies for solving commondesign problems like these. A pattern does not necessarily dictate aparticular implementation. Instead, it describes an effective design andstructure that form the basis for a solution. This book describes patterns that apply specifically to relational dataaccess. Relational databases are by far the most prevalent and provendata storage mechanism that enterprise software uses today. Otherpersistence technologies, like object-oriented and hierarchicaldatabases, are gaining in popularity. These alternative databases storedata closer to its runtime object form, so conventional object-orienteddesign patterns and techniques apply more readily.

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