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SuRF: Practical Range Query Filtering with Fast Succinct Tries

Summary: SuRF is a compact range-filter on a Fast Succinct Trie, enabling point lookups and open/closed range queries with tunable FP. RocksDB: SuRF reduces I/O and speeds range queries (open 1.5x, closed 5x); absent keys incur a small slowdown, offset by adding bits. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5639
Venue
SIGMOD
Year
2018
Pagerank
0.00013432693
Overall Rank
880 | 93.97%
DOI
10.1145/3183713.3196931

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Authors

BibTeX Citation

@inproceedings{zhang_sigmod18,
        title = {{SuRF: Practical Range Query Filtering with Fast Succinct Tries}},
        author = {Zhang, Huanchen and Lim, Hyeontaek and Leis, Viktor and Andersen, David G. and Kaminsky, Michael and Keeton, Kimberly and Pavlo, Andrew},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3196931},
        url = {https://dl.acm.org/doi/10.1145/3183713.3196931},
        year = {2018}
}

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