Database Design Theory by Michel Léonard (auth.)

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By Michel Léonard (auth.)

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Qd8) Reduction: If R 1 is an extremity of d, (R2 ... ~) is a partial jd d' of R. d' is obtained by reduction of d. DEFINITIONS A decomposition is said to be linear if the successive application of reduction leads to a decomposition reduced to one relation. vise it is said to be cyclic. A decomposition D 1 of R 1 is an extremity of a decomposition D2 of R2 if it is included in it, and if R 1 is an extremity of the decomposition obtained by grouping in D2 of D1 in R 1 (property jd5). These definitions also apply to thejds.

The range of an integrity rule designates the set of primitives that alter the database relations and which must contain an algorithm for the verification of the integrity rule so that the coherent state of the database will be transformed by the primitive into another coherent state. The response of an integrity rule ir indicates the actions to be undertaken in the event of non-verification of ir. This involves specifying the action to be taken when, once a within range primitive has been triggered, the verification Database Modelling 34 algorithm detects that complete action by the primitive would cause an incoherence relating to ir.

We will now explain the architecture of a data dictionary in broad outline and at the same time fill in the role that we see for the relational data model, namely to be the structure for such a dictionary. In part 3 we will show how it is possible to enrich this relational data model to take into account more easily more complex database structures. 2 Rules of the relational model The relational data model considers the existence of three basic concepts: relation, attribute and domain. We say that a category is a relation or an attribute or a domain.

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