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A crucial property of the higher- and lower-level entities created by specialization and generalization is attribute inheritance The attributes of the higher-level entity sets are said to be inherited by the lower-level entity sets For example, customer and employee inherit the attributes of person Thus, customer is described by its name, street, and city attributes, and additionally a customer-id attribute; employee is described by its name, street, and city attributes, and additionally employee-id and salary attributes A lower-level entity set (or subclass) also inherits participation in the relationship sets in which its higher-level entity (or superclass) participates The of cer, teller, and secretary entity sets can participate in the works-for relationship set, since the superclass employee participates in the works-for relationship Attribute inheritance applies through all tiers of lower-level entity sets The above entity sets can participate in any relationships in which the person entity set participates Whether a given portion of an E-R model was arrived at by specialization or generalization, the outcome is basically the same: A higher-level entity set with attributes and relationships that apply to all of its lower-level entity sets Lower-level entity sets with distinctive features that apply only within a particular lower-level entity set In what follows, although we often refer to only generalization, the properties that we discuss belong fully to both processes Figure 217 depicts a hierarchy of entity sets In the gure, employee is a lower-level entity set of person and a higher-level entity set of the of cer, teller, and secretary entity sets In a hierarchy, a given entity set may be involved as a lower-level entity set in only one ISA relationship; that is, entity sets in this diagram have only single inheritance If an entity set is a lower-level entity set in more than one ISA relationship, then the entity set has multiple inheritance, and the resulting structure is said to be a lattice.

The McGraw Hill Companies, 2001

When a view is de ned, normally the database stores only the query de ning the view In contrast, a materialized view is a view whose contents are computed and stored Materialized views constitute redundant data, in that their contents can be inferred from the view de nition and the rest of the database contents However, it is much cheaper in many cases to read the contents of a materialized view than to compute the contents of the view by executing the query de ning the view Materialized views are important for improving performance in some applications Consider this view, which gives the total loan amount at each branch: create view branch-total-loan(branch-name, total-loan) as select branch-name, sum(amount) from loan groupby branch-name Suppose the total loan amount at the branch is required frequently (before making a new loan, for example) Computing the view requires reading every loan tuple pertaining to the branch, and summing up the loan amounts, which can be timeconsuming In contrast, if the view de nition of the total loan amount were materialized, the total loan amount could be found by looking up a single tuple in the materialized view

demonstrates, Pinnacle Expression was able to break the video into 21 different scenes (using the time codes recorded by my digital camcorder) Quite clearly, it will be very easy to edit out unwanted material when the video has been broken down into the different scenes! Pinnacle Expression uses the time codes to create individual scenes automatically In addition to doing an excellent job of breaking the imported video into separate scenes, Pinnacle Expression also provides a number of tools that enable you to further fine-tune your movie These include the following handy features: You can combine scenes into a single scene if necessary You can break an individual scene into several scenes This capability might be handy if a particular clip includes several useful sections, but also contains some you want to eliminate

for currents entering the node and use (64) for the current owing through the capacitor, we have i(t) = C dv = i R (t) dt (69)