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)
Incoming Non-self Citations Over Time
Authors
- 1. Feifan Liu (Nanjing University)
- 2. Rong Gu (Nanjing University)
- 3. Meng Li (Nanjing University)
- 4. Haipeng Dai (Nanjing University)
- 5. Baohan Wang (China Mobile)
- 6. Jie Tao (China Mobile)
- 7. Dian Shen (Southeast University)
BibTeX Citation
@inproceedings{liu_sigmod26,
title = {{Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding}},
author = {Liu, Feifan and Gu, Rong and Li, Meng and Dai, Haipeng and Wang, Baohan and Tao, Jie and Shen, Dian},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3749169},
url = {https://dl.acm.org/doi/10.1145/3749169},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,225 | Dynamic Flat Filter: A Unified Framework for Scalable and Stable Fingerprint-Based Filters | 2026 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,308 | Diva: Dynamic Range Filter for Var-Length Keys and Queries | 2025 | VLDB |
| 2 | 5,261 | Oasis: An Optimal Disjoint Segmented Learned Range Filter | 2024 | VLDB |
| 3 | 11,423 | A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams | 2023 | SIGMOD |
| 4 | 4,532 | Stacked Filters: Learning to Filter by Structure | 2021 | VLDB |
| 5 | 10,225 | Dynamic Flat Filter: A Unified Framework for Scalable and Stable Fingerprint-Based Filters | 2026 | SIGMOD |
| 6 | 10,426 | Aeris Filter: A Strongly and Monotonically Adaptive Range Filter | 2026 | SIGMOD |
| 7 | 4,782 | Cuckoo Index: A Lightweight Secondary Index Structure | 2020 | VLDB |
| 8 | 6,416 | Memento Filter: A Fast, Dynamic, and Robust Range Filter | 2024 | SIGMOD |
| 9 | 8,892 | Adaptive Quotient Filters | 2024 | SIGMOD |
| 10 | 4,841 | Grafite: Taming Adversarial Queries with Optimal Range Filters | 2024 | SIGMOD |