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We now compare the costs of some simple operations for three basic le organizations: les of randomly ordered records, or heap les; les sorted on a sequence of elds; and les that are hashed on a sequence of elds For sorted and hashed les, the sequence of elds (eg, salary, age) on which the le is sorted or hashed is called the search key Note that the search key for an index can be any sequence of one or more elds; it need not uniquely identify records We observe that there is an unfortunate overloading of the term key in the database literature A primary key or candidate key ( elds that uniquely identify a record; see 3) is unrelated to the concept of a search key Our goal is to emphasize how important the choice of an appropriate le organization can be The operations that we consider are described below Scan: Fetch all records in the le The pages in the le must be fetched from disk into the bu er pool There is also a CPU overhead per record for locating the record on the page (in the pool) Search with equality selection: Fetch all records that satisfy an equality selection, for example, Find the Students record for the student with sid 23 Pages that contain qualifying records must be fetched from disk, and qualifying records must be located within retrieved pages Search with range selection: Fetch all records that satisfy a range selection, for example, Find all Students records with name alphabetically after Smith Insert: Insert a given record into the le We must identify the page in the le into which the new record must be inserted, fetch that page from disk, modify it to include the new record, and then write back the modi ed page Depending on the le organization, we may have to fetch, modify, and write back other pages as well Delete: Delete a record that is speci ed using its rid We must identify the page that contains the record, fetch it from disk, modify it, and write it back Depending on the le organization, we may have to fetch, modify, and write back other pages as well.

A part of a database is used for budgeting expenses on a yearly basis The element for salary could be de ned as

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1 Employee; 2 salary, PICTURE IS 999999, ON MODIFY CALL pay proc pay proc is a procedure which is invoked whenever a salary is changed This procedure

Example A-40. One solution to Exercise 14-3 (continued)

may include statements as follows:

Console.WriteLine("The stack..."); foreach (Animal a in myStackOfAnimals) { Console.WriteLine(a); } Console.WriteLine("The queue..."); foreach (Animal a in myQueueOfAnimals) { Console.WriteLine(a); } } static void Main( ) { Tester t = new Tester( ); t.Run( ); } } }

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pay proc: PROCEDURE; raise = Employeesalary(NEW)-Employeesalary(OLD); expense = raise*(12-current month+1) Departmentsalaries = Departmentsalaries + expense; Departmentprofit = Departmentprofit - expense; END pay proc; The summary elds in the Department relation re ect all changes introduced into the Employeesalary elds Use of this concept can lead to costly data entry A chain of procedure calls may be generated during entry of a single value The change of salary here leads to changes in the derived values in the Department record, and this in turn could a ect a Company record The statement in Example 8-9, used to recompute the Departmentprofit, could also be generalized and be de ned as a derived value to be invoked whenever a departmental budget amount is modi ed for whatever reason Now no explicit pro t calculation will be included in pay proc, but when the Departmentsalaries, Departmentoffice rent, or a similar expense or income element changes, the procedure deriving profit will be executed These procedures assure that the derived results are immediately available when requested An update to the le may, however, initiate a costly sequence of events, and a batch of updates (for a cost-of-living increase, for instance) may lead to a truly horrifying level of activity The other method of accommodating changes in source data avoids the actual storage of derived data Derived data to be computed on access are also described by means of a program which allows them to be automatically computed at the time of a retrieval request Using the same situation shown above, the schema coding could read as shown in Example 8-10

Solution to Exercise 14-4. Rewrite Exercise 14-2 to allow Animals to be sorted either by weight or alphabetically by name. This exercise is similar to Example 14-6 in the chapter. You ve already implemented IComparable for Animal, but now you need to add an overloaded CompareTo( ) method that can compare based on either weight or name. For that, you ll need to create an AnimalComparer class with a ComparisonType enumeration. Then you ll need to add a case statement to the overloaded CompareTo( ) method to delegate to either the CompareTo( ) for int, or the one for string. Example A-41 shows our solution. Note that we removed many of the extra methods of Animal, Cat, and Dog for this example, because they re not needed to sort the animals.

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