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Analyzing Association Traversal
Till now, we have supposed that associations are bi-directional. But in the case of traversal, it is in only one direction in any application, implementation becomes easier.
Though, for finding unidirectional associations we require to be extra cautious, as any new operation added later can be required to traverse association in the opposite direction also. The bi-directional association makes expansion or modification easier.
To change our decision of implementation strategy with least effort, we should hide implementation, using access operations to traverse and update association.
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Consider the relations given below Borrower (id_no, name) Book (accno., title, author, borrower_idno) (a) Define the above relations as tables in SQL forming real world assumptio
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It defines that no primary key value can be null. This is as the primary key is used to recognize individual tuple in the relation. So we will not be able to recognize the records
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A constraint named less_than_20 was defined on the field date_of_birth of table student. Delete this constraint. ALTER TABLE student DROP CONSTRAINT less_than_20;
Give the levels of data abstraction? There are three levels of Data Abstraction a) Physical level b) logical level c) view level
When are two schedules said to be view equivalent? Ans: Two schedules that is denoted as S and S' are said to be view equivalent if the subsequent three conditions are met
Increased overheads on update : On the drawbacks side, it will need the system to ensure that all replicas of a relation are consistent. This shows that all the replicas of the rel
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