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Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding

Summary: Hourglass is an adaptive range filter that splits keys into semi-sorted cuckoo-filtered prefixes and hybrid-encoded suffixes to boost space efficiency and handle skew/adversarial queries. It adds fingerprint-updating adaptivity and correlation-aware space allocation, yielding 9.8–35.4× lower FPR. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7326
Venue
SIGMOD
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,021 | 30.29%
DOI
10.1145/3749169

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Showing 21 of 21 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,169 SuRF: Practical Range Query Filtering with Fast Succinct Tries 2018 SIGMOD 0.00013536447
1,471 Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia 2013 VLDB 0.00011830111
1,613 Realtime Data Processing at Facebook 2016 SIGMOD 0.00011140777
2,843 A General-Purpose Counting Filter: Making Every Bit Count 2017 SIGMOD 8.0257314e-05
3,544 Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores 2020 SIGMOD 6.9898874e-05
3,611 SNARF: A Learning-Enhanced Range Filter 2022 VLDB 6.9191399e-05
4,588 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 6.0655418e-05
4,835 Proteus: A Self-Designing Range Filter 2022 SIGMOD 5.8905445e-05
4,994 Stacked Filters: Learning to Filter by Structure 2021 VLDB 5.78027e-05
5,356 LogKV: Exploiting Key-Value Stores for Event Log Processing 2013 CIDR 5.5509715e-05
5,367 Fast Range Query Processing with Strong Privacy Protection for Cloud Computing 2014 VLDB 5.5457837e-05
5,446 Grafite: Taming Adversarial Queries with Optimal Range Filters 2024 SIGMOD 5.5018138e-05
5,762 Oasis: An Optimal Disjoint Segmented Learned Range Filter 2024 VLDB 5.3377299e-05
5,863 GRF: A Global Range Filter for LSM-Trees with Shape Encoding 2024 SIGMOD 5.2979639e-05
8,009 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 4.6066863e-05
8,339 How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice 2025 SIGMOD 4.5434069e-05
8,434 Time Series Representation for Visualization in Apache IoTDB 2024 SIGMOD 4.5141748e-05
8,491 SA-LSM: Optimize Data Layout for LSM-tree Based Storage using Survival Analysis 2022 VLDB 4.4993073e-05
8,724 Memento Filter: A Fast, Dynamic, and Robust Range Filter 2024 SIGMOD 4.4600996e-05
8,957 Adaptive Quotient Filters 2024 SIGMOD 4.4211093e-05
10,396 VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity 2025 SIGMOD 4.1945683e-05
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