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: 7327
Venue: SIGMOD
Year: 2026
Pagerank: 4.1905499e-05
Overall Rank: 10,021 | 30.36%
DOI: 10.1145/3749169

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Rank	Citing Paper	Year	Venue	Pagerank

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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	0.00013530267
1,468	Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia	2013	VLDB	0.00011831457
1,616	Realtime Data Processing at Facebook	2016	SIGMOD	0.00011133818
2,848	A General-Purpose Counting Filter: Making Every Bit Count	2017	SIGMOD	8.0202739e-05
3,545	Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores	2020	SIGMOD	6.9831585e-05
3,614	SNARF: A Learning-Enhanced Range Filter	2022	VLDB	6.9124805e-05
4,572	Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines	2020	VLDB	6.068399e-05
4,836	Proteus: A Self-Designing Range Filter	2022	SIGMOD	5.8849277e-05
4,993	Stacked Filters: Learning to Filter by Structure	2021	VLDB	5.7749409e-05
5,346	Fast Range Query Processing with Strong Privacy Protection for Cloud Computing	2014	VLDB	5.55723e-05
5,367	LogKV: Exploiting Key-Value Stores for Event Log Processing	2013	CIDR	5.5461097e-05
5,455	Grafite: Taming Adversarial Queries with Optimal Range Filters	2024	SIGMOD	5.4965299e-05
5,769	Oasis: An Optimal Disjoint Segmented Learned Range Filter	2024	VLDB	5.3326049e-05
5,868	GRF: A Global Range Filter for LSM-Trees with Shape Encoding	2024	SIGMOD	5.2928769e-05
8,011	CAMAL: Optimizing LSM-trees via Active Learning	2024	SIGMOD	4.6022693e-05
8,333	How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice	2025	SIGMOD	4.5390511e-05
8,426	Time Series Representation for Visualization in Apache IoTDB	2024	SIGMOD	4.5098472e-05
8,490	SA-LSM: Optimize Data Layout for LSM-tree Based Storage using Survival Analysis	2022	VLDB	4.494994e-05
8,722	Memento Filter: A Fast, Dynamic, and Robust Range Filter	2024	SIGMOD	4.4558244e-05
8,962	Adaptive Quotient Filters	2024	SIGMOD	4.4168718e-05
10,407	VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity	2025	SIGMOD	4.1905499e-05

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