A processing framework for object comprehensions
| Autor: | Daniel K. C. Chan, Philip W. Trinder |
|---|---|
| Rok vydání: | 1997 |
| Předmět: |
Theoretical computer science
View Computer science Programming language InformationSystems_DATABASEMANAGEMENT Query optimization Query language computer.software_genre Computer Science Applications Query expansion Object Query Language Query by Example Sargable computer Computer Science::Databases Software Information Systems computer.programming_language RDF query language |
| Zdroj: | Information and Software Technology. 39:641-651 |
| ISSN: | 0950-5849 |
| Popis: | In order to execute database queries efficiently, they are usually translated into an algebra: a small set of operations together with some equivalences. The operations are implemented very efficiently by the database engine, and the equivalences are used to optimise the query. Since query languages for object-oriented databases are more complex than their relational counterparts, the algebra and translation, or processing framework, is more elaborate. This paper describes the processing framework for object comprehensions, a powerful object-oriented query language. Both operations and equivalences of the algebra are defined, together with a translation into it. The framework is illustrated by translating and optimising an example object comprehension query. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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