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A foundation for conventional and temporal query optimization addressing duplicates and ordering

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3 Author(s)
Slivinskas, G. ; Dept. of Comput. Sci., Aalborg Univ., Denmark ; Jensen, Christian S. ; Snodgrass, R.T.

Most real-world databases contain substantial amounts of time-referenced, or temporal, data. Recent advances in temporal query languages show that such database applications may benefit substantially from built-in temporal support in the DBMS. To achieve this, temporal query representation, optimization, and processing mechanisms must be provided. This paper presents a foundation for query optimization that integrates conventional and temporal query optimization and is suitable for both conventional DBMS architectures and ones where the temporal support is obtained via a layer on top of a conventional DBMS. This foundation captures duplicates and ordering for all queries, as well as coalescing for temporal queries, thus generalizing all existing approaches known to the authors. It includes a temporally extended relational algebra to which SQL and temporal SQL queries may be mapped, six types of algebraic equivalences, concrete query transformation rules that obey different equivalences, a procedure for determining which types of transformation rules are applicable for optimizing a query, and a query plan enumeration algorithm

Published in:

Knowledge and Data Engineering, IEEE Transactions on  (Volume:13 ,  Issue: 1 )

Date of Publication:

Jan/Feb 2001

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