Database Systems Concepts with Oracle CD

Database Systems Concepts with Oracle CD

Language: English

Pages: 840

ISBN: 0072554819

Format: PDF / Kindle (mobi) / ePub

The Fourth edition of Database System Concepts has been extensively revised from the 3rd edition. The new edition provides improved coverage of concepts, extensive coverage of new tools and techniques, and updated coverage of database system internals. This text is intended for a first course in databases at the junior or senior undergraduate, or first-year graduate level. Database System Concepts, 4th ed. offers a complete background in the basics of database design, languages, and system implementations. Concepts are presented using intuitive descriptions, and important theoretical results are covered, but formal proofs are omitted. The fundamental concepts and algorithms covered in Database System Concepts 4th ed. are based on those used in existing commercial or experimental database systems. The authors present these concepts and algorithms in a general setting that is not tied to one particular database system.

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difference among them must be expressed in terms of their attributes. Therefore, the values of the attribute values of an entity must be such that they can uniquely identify the entity. In other words, no two entities in an entity set are allowed to have exactly the same value for all attributes. A key allows us to identify a set of attributes that suffice to distinguish entities from each other. Keys also help uniquely identify relationships, and thus distinguish relationships from each other.

loan-payment is total, meaning that every payment must be related via loan-payment to some loan. Finally, the arrow from loan-payment to loan indicates that each payment is for a single loan. The discriminator of a weak entity set also is underlined, but with a dashed, rather than a solid, line. In some cases, the database designer may choose to express a weak entity set as a multivalued composite attribute of the owner entity set. In our example, this alternative would require that the entity

set of all possible rows. We refer to the set of all possible rows of loan as the Cartesian product of D1 and D2 , denoted by D1 × D2 In general, if we have a table of n columns, we denote the Cartesian product of D1 , D2 , · · · , Dn by D1 × D2 × · · · × Dn−1 × Dn loan-number L-11 L-14 L-15 L-16 L-17 L-23 L-93 Figure 2.23 amount 900 1500 1500 1300 1000 2000 500 The loan table. Silberschatz−Korth−Sudarshan: Database System Concepts, Fourth Edition 64 Chapter 2 I. Data Models © The

contributed by users of the book A complete solution manual will be made available only to faculty. For more information about how to get a copy of the solution manual, please send electronic mail to In the United States, you may call 800-338-3987. The McGraw-Hill Web page for this book is Contacting Us and Other Users We provide a mailing list through which users of our book can communicate among themselves and with us. If you

example, if we want to find the maximum salary for part-time employees at each branch, in addition to the sum of the salaries, we write the expression branch-name Gsum(salary),max(salary) (pt-works) As in generalized projection, the result of an aggregation operation does not have a name. We can apply a rename operation to the result in order to give it a name. As a notational convenience, attributes of an aggregation operation can be renamed as illustrated below: branch-name Gsum(salary) as

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