By Rebecca M. Riordan
Simply because they are so complex, many books on relational databases are both burdensomely educational (Database administration structures is the vintage instance of this mode - it really is magnificent, yet one virtually wishes a professor that will help you decode it) or so practical-minded as to be overly easy. Designing Relational Database platforms has struck an enticing stability among the 2 extremes via offering sufficient concept to assist you layout your databases intelligently, whereas protecting in brain real-world enterprise practices and the sensible barriers of exact 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 aren't overpowering, in anyway.
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Extra resources for Designing Relational Database Systems
Of course, you don't just copy any attributes from the primary relation to the foreign relation; you must choose attributes that uniquely identify the primary entity. In other words, you add the attributes that make up the candidate key in the primary relation to the foreign relation. Not surprisingly, the duplicated attributes become known as the foreign key in the foreign relations. In the example shown in Figure 3-3, OrderID&"note"> NOTE The candidate key/foreign key pair that models the relationship need not be the primary key of the primary table; any candidate key will serve.
One thing that can help in this situation is the optionality of the relationship. If the relationship is optional on one side only (and I've never seen a model where it was optional on both sides), the relation on the optional side is the foreign relation. In other words, if only one of the entities is weak and the other regular, the regular entity is the primary relation and the weak entity is the foreign relation. One-to-Many Relationships The most common type of relationship between entities is one-to-many, wherein a single instance of one entity can be associated with zero, one, or many instances of another entity.
When an integrity constraint cannot be implemented using declarative integrity it must be implemented in the front end. We'll be looking at the specifics of mapping the integrity constraints defined in the data model to the physical database schema in the rest of this chapter. Implementing Data Integrity 53 54 Implementing Data Integrity Domain Integrity SQL Server provides a limited kind of support for domains in the form of user-defined data types (UDDTs). Fields defined against a UDDT will inherit the data type declaration as well as domain constraints defined for the UDDT.