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Database sampling with functional dependencies
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DOI：10.1016/S0950-5849(01)00165-3.png)
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摘要
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During the development of information systems, there is a need to prototype the database that the applications will use when in operation. A prototype database can be built by sampling data from an existing database. Including relevant semantic information when extracting a sample from a database is considered invaluable to support the development of data-intensive applications. Functional dependencies are an example of semantic information that could be considered when sampling a database. This paper investigates how a database relation can be sampled so that the resulting sample satisfies precisely a given set of functional dependencies (and its logical consequences), i.e. is an Armstrong relation. (C) 2001 Elsevier Science B.V. All rights reserved.
Keyword:
information system development
legacy migration
database sampling
integrity constraints
database prototyping
Armstrong relation
functional dependencies
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