By Rebecca M. Riordan
Simply because they are so complex, many books on relational databases are both burdensomely educational (Database administration platforms is the vintage instance of this mode - it is remarkable, yet one virtually wishes a professor that will help you decode it) or so practical-minded as to be overly basic. Designing Relational Database structures has struck an enticing stability among the 2 extremes by means of offering adequate concept to assist you to layout your databases intelligently, whereas maintaining in brain real-world company practices and the sensible obstacles of tangible database administration systems.Author Rebecca Riordan emphasizes Microsoft database items to a small measure, utilizing Microsoft entry and the Jet engine in a few of her examples. The Microsoft overtones usually are not overpowering, whatsoever.
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Extra resources for Designing Relational Database Systems
The first case, the addition of an unmatched foreign key, is usually simply prohibited. But note that unknown and nonexistent values don't count. If the relationship is declared as optional, any number of unknown and nonexistent values can be entered without compromising referential integrity. html">Chapter 3. In the data model, rules such as "Managers are allowed to have a maximum of five individuals reporting to them" are defined as referential constraints. Database Integrity The most general form of integrity constraint is the database constraint.
The same principle is sometimes used to classify the entities themselves as either weak (having total participation) or regular (having partial participation). Weak entities can exist only in relationships with other entities, while regular entities can exist in isolation. This classification is part of the Entity Relationship (E/R) diagramming method as originally described by Chen. Of the three ways to classify a relationship—total or partial, optional or mandatory, and in terms of weak or regular entities—I have always found optionality to be the most useful.
This is the problem with Figure 3-17. Knowing an OrderDetails item, you can determine the product, but knowing the product, you can't determine to which SupplierProducts entity it's linked. An easy way to think of this is that you can't change directions from one-to-many to many-to-one more than once in a relationship chain. The chain in Figure 3-16 changes directions only once, at OrderDetails. The chain in Figure 3-17 changes directions twice, at OrderDetails and again at SupplierProducts. The solution is to eliminate the Products entity from the chain, as shown in Figure 3-18.