Pushing data-induced predicates through joins in big-data clusters

Proceedings of the VLDB Endowment, pp. 252-265, 2019.

Cited by: 1|Bibtex|Views78|DOI:https://doi.org/10.14778/3368289.3368292
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Other Links: dl.acm.org|dblp.uni-trier.de

Abstract:

Using data statistics, we convert predicates on a table into data induced predicates (diPs) that apply on the joining tables. Doing so substantially speeds up multi-relation queries because the benefits of predicate pushdown can now apply beyond just the tables that have predicates. We use diPs to skip data exclusively during query optimi...More

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