Publikation: Query Evaluation in CROQUE : Calculus and Algebra Coincide
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1997
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Proceedings of the 15. British National Conference on Databases. 1997
Zusammenfassung
With the substantial change of declarative query languages
from plain SQL to the so-called "object SQLs", in particular OQL, there
has surprisingly been not much change in the way problems of query representation and optimization for such languages are tackled. We identify
some of the difficulties pure algebraic approaches experience when facing object models and the operations defined for them. Calculus-style
formalisms suite this challenge better, but are said not to be efficiently
implementable in the database context.
This paper proposes a hybrid query representation and optimization approach, combining the strengths of a many-sorted query algebra and
the monoid comprehension calculus. We show that efficient execution
plans beyond nested-loop processing can be derived in such a framework. The translation process accounts for queries manipulating bulk-typed values by employing various join methods of the database engine, as well as queries that use aggregation, construction of arbitrary values, and arithmetics.
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GRUST, Torsten, Joachim KRÖGER, Dieter GLUCHE, Andreas HEUER, Marc H. SCHOLL, 1997. Query Evaluation in CROQUE : Calculus and Algebra Coincide. In: Proceedings of the 15. British National Conference on Databases. 1997BibTex
@inproceedings{Grust1997Query-6023,
year={1997},
title={Query Evaluation in CROQUE : Calculus and Algebra Coincide},
booktitle={Proceedings of the 15. British National Conference on Databases},
author={Grust, Torsten and Kröger, Joachim and Gluche, Dieter and Heuer, Andreas and Scholl, Marc H.}
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<dcterms:abstract xml:lang="eng">With the substantial change of declarative query languages<br />from plain SQL to the so-called "object SQLs", in particular OQL, there<br />has surprisingly been not much change in the way problems of query representation and optimization for such languages are tackled. We identify<br />some of the difficulties pure algebraic approaches experience when facing object models and the operations defined for them. Calculus-style<br />formalisms suite this challenge better, but are said not to be efficiently<br />implementable in the database context.<br />This paper proposes a hybrid query representation and optimization approach, combining the strengths of a many-sorted query algebra and<br />the monoid comprehension calculus. We show that efficient execution<br />plans beyond nested-loop processing can be derived in such a framework. The translation process accounts for queries manipulating bulk-typed values by employing various join methods of the database engine, as well as queries that use aggregation, construction of arbitrary values, and arithmetics.</dcterms:abstract>
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