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- W30481893 abstract "A methodology recently proposed to improve processing of star queries on data warehouses is the clustering and indexing of fact tables using their multidimensional hierarchies [DRSN98, MRB99, KS01]. Due to this improved organization schema, processing of aggregation star queries changes dramatically creating new optimization opportunities. An important optimization technique is the so-called pre-grouping transformation. Although this transformation is expected to improve the query-processing plan in most cases, there are several cases where it is not beneficial. In this paper we attempt to apply a cost-based method for the optimal application of the pre-grouping transformation. Taking into consideration the special characteristics of our domain we identify the most suitable algorithms for the operations related to pre-grouping and derive detailed cost formulas for them. When proper statistical information is available the method can decide (1) whether or not to use the pre-grouping transformation and (2) which combination of algorithms to use for the various operations involved." @default.
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- W30481893 date "2002-01-01" @default.
- W30481893 modified "2023-09-27" @default.
- W30481893 title "Cost-based optimization of aggregation star queries on hierarchically clustered data warehouses." @default.
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