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One common use for function pointers and for pointers to member functions is to store them in a function table A function table is a collection of function pointers from which a given call is selected at run time For a class that has several members of the same type, such a table can be used to select one from the set of these members Let's assume that our Screen class is extended to contain several member functions, each of which moves the cursor in a particular direction:

Supports Supported by 1 .. *

class Screen { public: // other interface and implementation members as before Screen& home(); // cursor movement functions Screen& forward(); Screen& back(); Screen& up(); Screen& down(); };

Something else that gives us good insight into how the software works with the database is identifying which attributes are absolutely necessary to describe each entity. If an attribute must be present to effectively describe an entity, that attribute cannot contain a NULL value. NULL values have wider significance than may first come to mind; if an attribute cannot be NULL, its value must be acquired during all business processes that create those entities. You may find that significant changes to business processes become necessary just so that you can create correctly defined entities in your database.

Each of these new functions takes no parameters and returns a reference to the Screen on which it was invoked

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It may seem backward to most readers, but waiting until last to consider attributes data types makes perfect sense. In the same way that considering entities separately from their structure in the beginning of the engineering process helped you to concentrate without distraction, waiting until the last minute to consider attribute data types prevents you from being distracted from more important design issues, such as which attributes are critical to describing the entities to which they belong. If you always engineer your databases by using this layered approach, the Web applications that they support are easier to code, require less maintenance, and perform faster. To recap, you want to follow these steps in the process of creating a relational database: 1. Define the entities that your business processes use. 2. Determine which attributes describe each entity. 3. Determine which attribute or combination of attributes of each entity is the key that uniquely identifies every instance of that entity. 4. Declare the relationships between entities. 5. Determine which attributes of each entity are considered critical to the description of that entity. 6. Define the data type for each attribute. The preceding six steps are always performed regardless of the target database platform (SQL Server, Oracle, etc.) on which you plan to deploy your database. You may also perform two additional steps in modeling your database, but these steps we cover in the sections Defaults and Check Constraints, later in this chapter. After you have a basic, logical data model, you need to describe a few details about how its relationships work. Then you go about extracting your Physical Data Model, or PDM, from the logical data model and describe the differences between them and why they are significant. The following sections detail how to go about these processes.

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