Publication | Closed Access
Indexing techniques for queries on nested objects
221
Citations
17
References
1989
Year
EngineeringNested ObjectsBig Data IndexingInformation RetrievalData ScienceData MiningManagementRetrieval CostCombinatorial OptimizationData ManagementKnowledge DiscoveryComputer ScienceDatabase ModelObject-oriented DatabaseIndex OrganizationsDatabase TheoryQuery OptimizationData IndexingRelational QueriesStorage CostIndexing TechniqueData Modeling
Three index organizations are introduced for use in the evaluation of a query in an object-oriented or nested relational database. Detailed models of the three indexes are developed. Using the models, the storage cost, retrieval cost, and update cost of these indexes are evaluated, and a number of observations are made about the use of these indexes for evaluating queries for object-oriented or nested relational databases. A comparison of the combined retrieval and update costs for the three indexes is also included. It is shown that the degree of reference sharing among objects for the various classes in the path influences both the retrieval and update costs.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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