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Many people in data processing still accept that the contents and the structure of the database have to be fully determined before procedures that operate on it can be written This assumption defeats one of the major advantages that can be accomplished when we consign processes to computer technology When designing and implementing a database system, it is desirable that methods be employed that allow development and change, so that we are not wholly dependent on perfect foresight The fact that all our data and procedures can be manipulated by computation should make it possible to add data and relationships to the database at a later time The operations involved in such a change may not be trivial, but a system that takes advantage of such growth possibilities can avoid obsolescence Whenever a decision is implemented which de nes a xed relationship between data elements, the number of choices available from that point on is reduced Some knowledge has been used to make processing feasible The process of xing data or processing relationships is referred to as binding At the nal stage of data processing all relationships needed to generate information have to be bound Methods that delay the binding of data de nition and structure through the use of schemas are discussed in Chap 8 The concept of binding is in common use to distinguish compiling, early binding, versus interpretive, late binding, processes The range of binding choices in the database area is considerably greater than in the area of programming Binding frequently takes place years before a new database system produces its rst results

return false; }

Binding choices can be illustrated by expanding Example 1-1 Let us assume that an employees classi cation is not found in a single le (job classification), but that there is a le for each department, and the names of these les are in an array dep class filename Statements s3 to s5 then become a loop which appends the lists together

Notice that there s no else clause here. If the numerator and denominator are equal, the operator returns true, and exits. If they re not equal, the return statement after the if is executed, so there s no need for an else. C# insists that if you overload the equals operator, you must also overload the notequals operator (!=). It s good programming practice to have the inequality operator delegate its work to the equality operator, like this:

Example 1-3

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public static bool operator !=(Fraction lhs, Fraction rhs) { return !(lhs==rhs); }

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As you can see, the != operator will return the opposite of the value of the == operator, which is exactly what you want. This way, if you change your definition of equality, you can change the code in the == operator overload, and the != operator will still return the opposite. Similarly, the less than (<) and greater than (>) operators must be paired, as must the less than or equal to (<=) and greater than or equal to (>=) operators. The Object class (which is the root of every class in C#) offers a virtual method called Equals( ). (We discuss virtual methods in 11.) If you overload the equals operator (==), it is recommended that you also override the Equals( ) method. Overriding the Equals( ) method allows your class to be compatible with other .NET languages that do not overload operators (but do support method overloading). That way, even if you can t use the == operator, you can still use the Equals( ) method to do the same thing. The Object class implements the Equals( ) method with this signature:

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no employees = 0; DECLARE dep emp list(1000) INTEGER, dep INTEGER, dep class filename(100) CHAR(8) EXTERNAL, filename CHAR(8); s3: DO dep = 1 TO no depts; dep emp list = 0; filename = dep class filename(dep); OPEN FILE(job classification) TITLE(filename); s4: READ FILE(job classification) KEY(class) INTO(dep emp list); CLOSE FILE(job classification); s4a: DO i = 1 TO 1000 WHILE dep emp list(i) = 0; no employees = no employees + 1; emp list(no employees) = dep emp list(i); s4b: END; END; s5: PUT SKIP This program is bound to the assumption that an employee, including a manager, is listed in only one department le This constraint will have to be enforced when the departmental employee lists are created Otherwise, if one manager becomes responsible for two departments, raise will give this manager a 21 percent raise instead of the 10 percent raise Inserting after s4a the statements /* check for duplicated employees */ DECLARE id INTEGER; DO id = 1 TO no employees; IF dep emp list(i) = emp list(id) THEN GO TO s4b; END; releases the binding and resolves the problem at the time that raise is executed An analysis of the program s execution will show that now retrieval processing takes much more computational e ort Late binding can be especially costly because it is done at a critical time, when the answer is needed, and because it has to be done on an element-by-element basis, rather than once and for all when the structure is de ned Early binding may be chosen because it can provide considerable initial e ciencies In a database a signi cant amount of binding occurs when the designer speci es the position of data elements within the les Later modi cations of bound structures will be extremely awkward and often cause ine cient processing when the opposite was intended When new data types or relationships are to be added,.

public virtual bool Equals(object o)

Sec 1-7

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