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)
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Authors
- 1. Bailu Ding
- 2. Surajit Chaudhuri
- 3. Vivek Narasayya
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