By Filippo Cacace, Gianfranco Lamperti (auth.)
This quantity goals to offer fresh advances in database expertise from the point of view of the radical database paradigms proposed within the final decade. It makes a speciality of the idea of the prolonged relational version and an instance of a longer relational database programming language, Algres, is defined. A unfastened reproduction of Algres enhances this paintings, and is out there on the net.
Audience: This paintings can be of curiosity to graduate scholars following complicated database classes, complicated data-oriented purposes builders, and researchers within the box of database programming languages and software program engineering who want a versatile prototyping platform for the advance of software program instruments.
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Extra resources for Advanced Relational Programming
LB(r) ungroups the tuples of B, thus producing a flatter relation. Consider for example the problem of obtaining the flat version of the Dept nested relation. LEmployees(Dept» The instance produced by this expression is the (flat) relation shown in Figure 2-8. We can now reorganize this table by room numbers. grouping all the employees that work in the same room by means of the following nest operation: Room_empl =v croom = (d_name. budget. cnum. cname. salary) (Flatdept) The instance of Room_empl is illustrated in Figure 2-9.
LDL has also been extended to deal with set valued attributes . 3 Nested Relational Algebra In order to introduce examples of manipulation of nested relations we will first consider nested algebra. A more precise definition of operators and their semantics will be given in Chapter 3: here we present a general overview of the language with the aim of motivating the main extensions to relational algebra. LEmployees (Dept» Dept(d_name, budget, Rooms(room_num, tel. Employees(e_num, e name, salary») The first issue raised by the structure of nested relations is their hierarchical nature .
Salary) (Flatdept) The extension of traditional relational operators to nested relations is accomplished according to the principle that values must be treated regardless of whether they are atomic or nested. This principle is sufficient to carry out the extension of set-theoretic operations, like union, difference, and intersection. The projection operator requires a more careful definition: it is now possible to project onto inner attributes, that is, attributes that are not at the first level in the schema tree.