Extensible and Robust Evaluation of Similarity Queries
Summary: Fast, a similarity-join system, introduces "reductions" that map complex domains/distance functions into simpler ones and builds a reduction graph to enumerate extensible query plans. Using runtime partitioning and sampling-based plan selection (no cost models), plus hybrid index-on-the-fly and caching, Fast robustly attains near-optimal performance across datasets and distance functions. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Daniel Schmitt
- 2. Thomas Hütter
- 3. Nikolaus Augsten
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