Selectivity estimation for range predicates using lightweight models

Proceedings of the VLDB Endowment, pp. 1044-1057, 2019.

Cited by: 15|Bibtex|Views162|DOI:https://doi.org/10.14778/3329772.3329780
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Query optimizers depend on selectivity estimates of query predicates to produce a good execution plan. When a query contains multiple predicates, today's optimizers use a variety of assumptions, such as independence between predicates, to estimate selectivity. While such techniques have the benefit of fast estimation and small memory foot...More

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