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DataSet ds = Program.StoreDB.GetProducts(); foreach (DataRow row in ds.Tables["Products"]) { MessageBox.Show(row["ModelName"].ToString()); } And change it to this: StoreDataSet ds = Program.StoreDB.GetProducts(); foreach (ProductsDataRow row in ds.ProductsDataTable) { MessageBox.Show(row.ModelName); } The second version is easier to write (thanks to IntelliSense) and any errors are caught at design time instead of runtime. But the real beauty is that you can use these features if you want or ignore them completely. Because ProductsDataTable derives from DataTable, ProductsDataRow derives from DataRow, and StoreDataSet derives from DataSet, the rest of your code can treat these objects as ordinary DataTable, DataRow, and DataSet instances, with the familiar string-based lookup. In conclusion, you might choose to use the Data Sources window to create strongly typed data objects, which you can then use in your other data classes. However, this doesn t gain you the other benefits of automatic data binding. For example, you still don t have any way to set up bindings and data sources at design time. The cost to get these features is simply too great.

"GUID" RAW(16), "NAME" VARCHAR2(255)); Listing 4-25 shows how you can insert in a GUID value into the RAW column in the table that you created in Listing 4-24. The code highlighted in bold saves the GUID into the RAW column using the OracleParameter class. Listing 4-25. Inserting a GUID into a RAW Column

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This design process is separated by UML into separate domains: Use Case Model: Defines the interaction between the system and its real-world users (Who uses the system and what are the goals that the system helps them achieve ) Communication Model: Defines the interaction between internal system objects (How do system objects work together to achieve the system goals ) State Model: Describes the different conditions (states) that objects take on over a time span (How will an object s properties change over the course of a system s workflow ) Logical Model: Provides the conceptual documentation of which objects make up the system (How are actors in the system and the things they act upon related to each other ) Component Model: Defines how the actual software will be packaged and grouped into related namespaces or components.

The discussion so far has reviewed object-oriented development using two words: classes and objects. Classes are the definitions, or object templates. Objects are classes in action. The basic principle of object-oriented design is that you can use any class to create as many objects as you need. In the .NET world, there s another concept types. Types is a catchall term that includes the following ingredients: Structures Classes

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Delegates Enumerations Interfaces To get the most out of this book, you should already know the basics about .NET types and how they can be used. If you need to refresh your memory and get reacquainted with the .NET object family, browse through the following sections. Otherwise, you can skip ahead to the User Interface Classes in .NET section.

(How will the software code be organized ) Physical or Deployment Model: Communicates the hardware organization of the application (How will actual hardware be organized to support the system ) The business analyst and application developers will use the use case and communication model to draw up specialized diagrams pertaining to how the real-world actors interact with each other within the system As those diagrams begin to take shape, the application developer, and possibly the database designer, will work with the state, logical, and component models to diagram how these real-world actors can be represented in the virtual world of the application code Network and systems administrators will be primarily concerned with diagrams from the physical model, which outline how the various nodes in the network and hardware infrastructure will be organized A database designer will predominantly work with diagrams in the logical and state model domains.

Structures are like classes, but are generally simpler and more lightweight. They tend to have only a few properties (and even fewer important methods). A more important distinction is that structures are value types, whereas classes are reference types. As a result, these two types of objects are allocated differently and have different lifetimes (structures must be released explicitly, while classes exist in memory until they re tracked down by the garbage collector). Another side effect of the differences between the two is the fact that structures act differently in comparison and assignment operations. If you assign one structure variable to another, .NET copies the contents of the entire structure, not just the reference. Similarly, when you compare structures, you are comparing their contents, not the reference. The following code snippet demonstrates how a structure works: structureA = structureB; // structureA has a copy of the contents of structureB. // There are two duplicate structures in memory. if (structureA == structureB) { // This is true as long as the structures have the same content. // This type of comparison can be slow if the structure is large. } Some of the structures in the class library include Int32, DateTime, and graphics ingredients like Point, Size, and Rectangle.

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