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Bitvector-aware Query Optimization for Decision Support Queries

Summary: Bitvector filtering speeds decision-support queries; naive optimization explodes the plan space, but for star/snowflake/right-deep queries the optimal plan comes from a linear set. A linear-candidate join-order algorithm, implemented as a DBMS-X transformation, yields 22–64% CPU savings overall and up to 100× on some queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5984
Venue
SIGMOD
Year
2020
Pagerank
5.6368209e-05
Overall Rank
5,194 | 63.87%
DOI
10.1145/3318464.3389769

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