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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)
- Paper ID
- 12667
- Venue
- VLDB
- Year
- 2022
- Pagerank
- 6.9191399e-05
- Overall Rank
- 3,611 | 74.89%
- DOI
-
10.14778/3529337.3529347
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 19 of 19 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 4,514 |
An Empirical Evaluation of Columnar Storage Formats |
2024 |
VLDB |
6.1204636e-05 |
| 5,446 |
Grafite: Taming Adversarial Queries with Optimal Range Filters |
2024 |
SIGMOD |
5.5018138e-05 |
| 5,739 |
InfiniFilter: Expanding Filters to Infinity and Beyond |
2023 |
SIGMOD |
5.3471718e-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 |
| 8,525 |
Aleph Filter: To Infinity in Constant Time |
2024 |
VLDB |
4.4937074e-05 |
| 8,724 |
Memento Filter: A Fast, Dynamic, and Robust Range Filter |
2024 |
SIGMOD |
4.4600996e-05 |
| 8,876 |
MirrorKV: An Efficient Key-Value Store on Hybrid Cloud Storage with Balanced Performance of Compaction and Querying |
2023 |
SIGMOD |
4.4304279e-05 |
| 9,071 |
Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space |
2024 |
SIGMOD |
4.4025274e-05 |
| 9,218 |
Diva: Dynamic Range Filter for Var-Length Keys and Queries |
2025 |
VLDB |
4.3702863e-05 |
| 9,386 |
Rethinking The Compaction Policies in LSM-trees |
2025 |
SIGMOD |
4.3455975e-05 |
| 9,465 |
Disco: A Compact Index for LSM-trees |
2025 |
SIGMOD |
4.3350926e-05 |
| 9,987 |
A Multi-tenant Relational OLTP Database at Salesforce |
2026 |
CIDR |
4.1945683e-05 |
| 10,021 |
Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,137 |
Aeris Filter: A Strongly and Monotonically Adaptive Range Filter |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,176 |
Improving Range Scan Performance in LSM-trees with Group Caching |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,216 |
The Case For Language Model Approximated LIKE Predicate |
2026 |
SIGMOD |
4.1945683e-05 |
| 11,075 |
LavaStore: ByteDance's Purpose-built, High-performance, Cost-effective Local Storage Engine for Cloud Services |
2024 |
VLDB |
4.1945683e-05 |
| 11,222 |
A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams |
2023 |
SIGMOD |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 102 |
The Case for Learned Index Structures |
2018 |
SIGMOD |
0.00049545203 |
| 826 |
ALEX: An Updatable Adaptive Learned Index |
2020 |
SIGMOD |
0.00016224841 |
| 1,169 |
SuRF: Practical Range Query Filtering with Fast Succinct Tries |
2018 |
SIGMOD |
0.00013536447 |
| 1,248 |
Don't Thrash: How to Cache Your Hash on Flash |
2012 |
VLDB |
0.00013046661 |
| 1,375 |
FITing-Tree: A Data-aware Index Structure |
2019 |
SIGMOD |
0.00012303141 |
| 1,460 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00011887068 |
| 1,471 |
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia |
2013 |
VLDB |
0.00011830111 |
| 2,558 |
Rose: Compressed, log-structured replication |
2008 |
VLDB |
8.5455497e-05 |
| 2,732 |
Efficiently Searching In-Memory Sorted Arrays: Revenge of the Interpolation Search? |
2019 |
SIGMOD |
8.2087602e-05 |
| 3,544 |
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores |
2020 |
SIGMOD |
6.9898874e-05 |
| 4,097 |
The Case for a Learned Sorting Algorithm |
2020 |
SIGMOD |
6.4551616e-05 |
| 5,157 |
Hist-Tree: Those Who Ignore It Are Doomed to Learn |
2021 |
CIDR |
5.6589595e-05 |
| 5,308 |
Key-Value Storage Engines |
2020 |
SIGMOD |
5.576303e-05 |
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GRF: A Global Range Filter for LSM-Trees with Shape Encoding |
2024 |
SIGMOD |
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| 5,446 |
Grafite: Taming Adversarial Queries with Optimal Range Filters |
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| 3,544 |
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores |
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