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A Method for Optimizing Opaque Filter Queries

Summary: Proposes voodoo indexing for opaque filter queries with unknown UDF semantics. Offline, builds a query-independent hierarchical index; online, maps group satisfaction to accelerate execution without in-query training, delivering up to 88% speedup over scans and 79% over prior best. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6043
Venue
SIGMOD
Year
2020
Pagerank
6.7937529e-05
Overall Rank
4,264 | 70.75%
DOI
10.1145/3318464.3389766

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{he_sigmod20,
        title = {{A Method for Optimizing Opaque Filter Queries}},
        author = {He, Wenjia and Anderson, Michael R. and Strome, Maxwell and Cafarella, Michael},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389766},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389766},
        year = {2020}
}

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