SNARF: A Learning-Enhanced Range Filter
Summary: Learned range filter SNARF maps data via a model into a compressed bit array for fast membership and range queries. Outperforms SuRF/Rosetta with up to 50x lower false positives at the same space, and up to 10x speedups in RocksDB workloads. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Kapil Vaidya (Massachusetts Institute of Technology)
- 2. Subarna Chatterjee (Harvard University)
- 3. Eric Knorr (Harvard University)
- 4. Michael Mitzenmacher (Harvard University)
- 5. Stratos Idreos (Harvard University)
- 6. Tim Kraska (Massachusetts Institute of Technology)
BibTeX Citation
@article{vaidya_vldb22,
title = {{SNARF: A Learning-Enhanced Range Filter}},
author = {Vaidya, Kapil and Chatterjee, Subarna and Knorr, Eric and Mitzenmacher, Michael and Idreos, Stratos and Kraska, Tim},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {8},
pages = {1632--1644},
doi = {10.14778/3529337.3529347},
url = {https://doi.org/10.14778/3529337.3529347},
year = {2022}
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