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These rules concerning database contents are called constraints. You should translate all your business rules into formal integrity constraints. The third example a unique number for each person is a primary key constraint, and it implements entity integrity. The fourth example information for only persons known to the system is a foreign key constraint, implementing referential integrity. We will revisit these concepts later in this chapter, in Section 1.5. Constraints are often classified based on the lowest level at which they can be checked. The following are four constraint types, each illustrated with an example: Attribute constraints: Checks attributes; for example, Gender must be M or F. Row constraints: Checks at the row level; for example, For salesmen, commission is a mandatory attribute. Table constraints: Checks at the table level; for example, Each employee has a unique e-mail address. Database constraints: Checks at the database level; for example, Each employee works for an existing department. In 7, we ll revisit integrity constraints to see how you can formally specify them in the SQL language. At the beginning of this section, you learned that information needs can be formalized by identifying which entities are relevant for the information system, and then deciding which attributes are relevant for each entity. Now we can add a third step to the information analysis list of steps to produce a formal data model: 1. Which entities are relevant for the information system 2. Which attributes are relevant for each entity 3. Which integrity constraints should be enforced by the system

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Note rsync s treatment of directories differs depending on whether there is a trailing slash at the end of the

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You can add methods to user-defined datatypes. Methods are operations specifically developed to work with your user-defined datatypes; for example, to specify how you want to compare two address type values, or how you want to sort address values. Methods add a lot of semantic power to your user-defined datatypes. Unfortunately we can t spend much time on methods in this book, because you need a great deal of PL/SQL programming to create methods. If you want to see some method examples, check out the CUSTOMERS table of the OE schema, one of the standard sample schemas that ships with the Oracle software. As you will see in the next section, as soon as you create a user-defined datatype in Oracle, you implicitly get one method for free a method with the same name as the datatype itself. That method is the constructor method, which allows you to create occurrences of the datatype.

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For the examples mentioned so far in this chapter, you could argue that you could implement them very well with standard relational techniques, as discussed in previous chapters of this book. You could separate various phone numbers into separate columns, you could create a separate ERRATA table with a foreign key constraint referring to the COURSES table, and so on. So when should you choose an object-relational approach rather than a pure relational approach It might be a matter of taste, and discussions about taste are probably a waste of time in a technical book like this one. As the Romans said, De gustibus non disputandum est... 1 It might be the case that you have a powerful object-oriented design and development environment. You may find that Oracle s object-relational features enable you to maintain an intuitive and straightforward mapping between that development environment and the Oracle database structures. In any case, this book does not speculate about when one approach is better than the other. The examples in this chapter have a single purpose: to illustrate the object-relational features of the Oracle DBMS. As you read about the techniques described in this chapter, you may wonder whether they violate the first normal form as one of the foundations of the relational model. That is not the case. The relational model does not forbid in any way storing complex or set-valued attributes in your rows. Data atomicity is a rather slippery concept. For example, if you consider DATE values, aren t you looking at a compound datatype A DATE value has meaningful subcomponents, such as year, month, and day. For a thorough treatment of this subject, see An Introduction to Database Systems (8th Edition), by Chris Date.

Now you can add the Plunger class, which I ve already done in the PhysicsBox2D05 project. Listing13 14 shows the Plunger class s interface, which is also derived from BodyNode:

source directory. The following:

We will begin to explore varrays by implementing the phone list example introduced in the previous section. To keep our EMPLOYEES table unimpaired, we create a copy of the EMPLOYEES table for our experiments in this final chapter of the book. We also leave out some of the columns of the original EMPLOYEES table. See Listing 12-1. Listing 12-1. Creating a Copy of the EMPLOYEES Table SQL> 2 3 4 create table e as select empno, ename, init, mgr, deptno from employees;

Listing 13 14. The Plunger s Header File #import "BodyNode.h" @interface Plunger : BodyNode { b2PrismaticJoint* joint; bool doPlunge; ccTime plungeTime; } @property (nonatomic) bool doPlunge; +(id) plungerWithWorld:(b2World*)world; @end

will transfer all the files in /test/one to /backup/one. In other words, it copies the whole directory (and its contents) by name. By contrast, the following, with the trailing slash on the source directory:

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