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You ve probably already worked with a relational database such as Microsoft SQL Server, MySQL or Oracle. If you haven t, see appendix A. Most developers use relational databases every day; they have widespread acceptance and are considered a robust and mature solution to modern data-management challenges. A relational database management system (RDBMS) isn t specific to .NET, and a relational database isn t necessarily specific to any one application. You can have several applications accessing a single database, some written in .NET, some written in Java or Ruby, and so on. Relational technology provides a way of sharing data between many different applications. Even different components within a single application can independently access a relational database (a reporting engine and a logging component, for example). Relational technology is a common denominator of many unrelated systems and technology platforms. The relational data model is often the common enterprise-wide representation of business objects: a business needs to store information about various things such as customers, accounts, and products (the business objects), and the relational database is usually the chosen central place where they re defined and stored. This makes the relational database an important piece in the IT landscape. RDBMSs have SQL-based application programming interfaces (APIs). So today s relational database products are called SQL database management systems or, when we re talking about particular systems, SQL databases.
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As with any .NET database development, a solid understanding of relational databases and SQL is a prerequisite when you re using NHibernate. You ll use SQL to tune the performance of your NHibernate application. NHibernate automates many repetitive coding tasks, but your knowledge of persistence technology must extend beyond NHibernate if you want take advantage of the full power of modern SQL databases. Remember that the underlying goal is robust, efficient management of persistent data. If you feel you may need to improve your SQL skills, then pick up a copy of the excellent books SQL Tuning by Dan Tow [Tow 2003] and SQL Cookbook by Anthony Molinaro [Mol 2005]. Joe Celko has also written some excellent books on advanced SQL techniques. For a more theoretical background, consider reading An Introduction to Database Systems [Date 2004].
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.NET offers many tools and choices when it comes to making applications work with SQL databases. You might lean on the Visual Studio IDE, taking advantage of its dragand-drop capabilities: in a series of mouse clicks, you can create database connections, execute queries, and display editable data onscreen. We think this approach is great for simple applications, but the approach doesn t scale well for larger, more complex applications. Alternatively, you can use SqlCommand objects and manually write and execute SQL to build DataSets. Doing so can quickly become tedious; you want to work at a slightly higher level of abstraction so you can focus on solving business problems rather than worrying about data access concerns. If you re interested in learning more about the wide range of tried and tested approaches to data access, then consider reading Martin Fowler s Patterns of Enterprise Application Architecture [Fowler 2003], which explains many techniques in depth. Of all the options, the approach we take is to write classes or business entities that can be loaded to and saved from the database. Unlike DataSets, these classes aren t designed to mirror the structure of a relational database (such as rows and columns). Instead, they re concerned with solving the business problem at hand. Together, such classes typically represent the object-oriented domain model.
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In an object-oriented application, persistence allows an object to outlive the process or application that created it. The state of the object may be stored to disk and an object with the same state re-created at some point in the future. This application isn t limited to single objects entire graphs of interconnected objects may be made persistent and later re-created. Most objects aren t persistent; a transient object is one that has a limited lifetime that is bounded by the life of the process that instantiated the object. A simple example is a web control object, which exists in memory for only a fraction of a second before it s rendered to screen and flushed
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