Intends to provide technical information about current and future issues of search data structures used to index large object-oriented databases. This book is useful for practitioners involved in OODBMS product selection, application dependent database performance tuning and application development on top of object databases. Series: Advances in Database Systems. Num Pages: 177 pages, biography. BIC Classification: UMB; UNS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 12. Weight in Grams: 980. . 1997. Hardback. . . . .

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Bibliographic Details

Title: Index Data Structures in Object-Oriented Databases
Publisher: Kluwer Academic Publishers
Publication Date: 1997
Language: English
ISBN 10: 0792399714
ISBN 13: 9780792399711
Binding: Hardcover
Condition: New

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Synopsis

Object-oriented database management systems (OODBMS) are used to imple� ment and maintain large object databases on persistent storage. Regardless whether the underlying database model follows the object-oriented, the rela� tional or the object-relational paradigm, a key feature of any DBMS product is content based access to data sets. On the one hand this feature provides user-friendly query interfaces based on predicates to describe the desired data. On the other hand it poses challenging questions regarding DBMS design and implementation as well as the application development process on top of the DBMS. The reason for the latter is that the actual query performance depends on a technically meaningful use of access support mechanisms. In particular, if chosen and applied properly, such a mechanism speeds up the execution of predicate based queries. In the object-oriented world, such queries may involve arbitrarily complex terms referring to inheritance hierarchies and aggregation paths. These features are attractive at the application level, however, they increase the complexity of appropriate access support mechanisms which are known to be technically non-trivial in the relational world.

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