Publication | Open Access
A chase too far?
63
Citations
18
References
2000
Year
EngineeringSemantic WebInformation RetrievalData ScienceManagementData IntegrationLogical ConstraintsCombinatorial OptimizationSemantic ConstraintsData ManagementVery Large DatabaseAmbush MarketingComputer ScienceDistributed Query ProcessingDatabase TheoryQuery OptimizationRelational QueriesAutomated ReasoningMaterialized ViewsRoute PlanningAlternative Query PlansApproximate Query Answering
In a previous paper we proposed a novel method for generating alternative query plans that uses chasing (and back-chasing) with logical constraints. The method brings together use of indexes, use of materialized views, semantic optimization and join elimination (minimization). Each of these techniques is known separately to be beneficial to query optimization. The novelty of our approach is in allowing these techniques to interact systematically, eg. non-trivial use of indexes and materialized views may be enabled only by semantic constraints. We have implemented our method for a variety of schemas and queries. We examine how far we can push the method in term of complexity of both schemas and queries. We propose a technique for reducing the size of the search space by “stratifying” the sets of constraints used in the (back)chase. The experimental results demonstrate that our method is practical (i.e., feasible and worthwhile).
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