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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,.

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not in the second table For example, a difference operation can determine the students attending only one university Union Compatibility

Sec 1-7

(page 1)

Table 37-2

1

union compatibility a requirement on the input tables for the traditional set operators Each table must have the same number of columns and each corresponding column must have a compatible data type

When we talk informally about a database, we refer to a collection of mutually related data, to the computer hardware that is used to store it, and to the programs used to manipulate it

The Member Functions of valarray (continued)

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By mutually related we mean that the data represents knowledge about a speci c enterprise, say a company, a university, or a governmental institution The data may also be related because it deals with a certain problem area, perhaps about a disease which is of concern to the sta of a number of hospitals The data should be organized so that it can be processed to yield information

Compatibility is a new concept for the table operators as compared to the traditional set operators With the table operators, both tables must be union compatible because all columns are compared Union compatibility means that each table must have the same number of columns and each corresponding column must have a compatible data type Union compatibility can be confusing because it involves positional correspondence of the columns That is, the first columns of the two tables must have compatible data types, the second columns must have compatible data types, and so on To depict the union, intersection, and difference operators, let us apply them to the Studentl and Student2 tables (Tables 321 and 322) These tables are union compati ble because they have identical columns listed in the same order The results of union,

The organization of the data in a database has to represent the underlying meaning or semantics of the data correctly and e ciently In conventional programs the structure of data is arranged for the convenience of the program A database contains data to be used by many and diverse programs The organization of a database can hence not be solely determined by decisions made while programming speci c functions This chapter begins by de ning the concept of a le, since les are the major physical units into which a database is organized The second section discusses operations or tasks performed when using a database In Sec 1-3 we develop a

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