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Database rules and time: some proposed extensions to the SQL standard

Authors: O'Neill, Liam;

Database rules and time: some proposed extensions to the SQL standard

Abstract

The subject of this thesis is the incorporation of temporal semantics into database rules and how the resultant syntax might be reconciled with the evolving SQL standard. In particular, it explores time-driven rules and the time-relationship between triggering events and associated actions. A review of the key research results in the area of database rules and the syntax developed for the major prototype implementations is conducted, and a working syntax , free of any limitations within the SQL standard, developed. Next, an operational definition is evolved through the application of this working syntax to two sample domains rich in 'temporal rules'. In each case a graphical representation of the domain is presented using an adapted object-oriented modelling technique followed by a mapping into the working temporal syntax. Attention is then turned to the SQL-92 standard and its future successor SQL3. An assessment is made of their implications for the working syntax developed in the earlier chapters - with particular reference to the specification of time and the use of database triggers. When an attempt was made to re-cast the working syntax into SQL, a satisfactory mapping, which succeeded in preserving the semantics of the original, could not be achieved. Support for time-based triggers; cyclic operations; delayed actions and rule lifetimes necessitated the development of appropriate modifications to the basic SQL3 draft syntax. The proposed extensions capture all of the semantics required for the specification of time-based rules. The example applications indicated that an extended SQLcompliant language approach allied to a sound objectoriented modelling formalism had a broad applicability. Furthermore, it was apparent that the addition of a temporal dimension to rule actions was a key enabling factor in increasing their semantic power.

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Keywords

Information storage and retrieval systems, Computer software, 004

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green