Pea Hash: A Performant Extendible Adaptive Hashing Index
Summary: Pea Hash offers an adaptive hashing strategy that jointly optimizes latency and memory use, plus data-aware buckets for unique keys and duplicates. NVMe-enabled Pea Hash achieves up to 13.8x speedup over state-of-the-art NVMe hashes with similar memory; a DRAM variant outperforms prior in-DRAM hashes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhuoxuan Liu (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences)
- 2. Shimin Chen (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences)
BibTeX Citation
@inproceedings{liu_sigmod23,
title = {{Pea Hash: A Performant Extendible Adaptive Hashing Index}},
author = {Liu, Zhuoxuan and Chen, Shimin},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588962},
url = {https://dl.acm.org/doi/10.1145/3588962},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,484 | Bf-Tree: A Modern Read-Write-Optimized Concurrent Larger-Than-Memory Range Index | 2024 | VLDB | 5.7696173e-05 |
| 9,647 | Sphinx: A Succinct Perfect Hash Index for x86 | 2025 | VLDB | 5.1453267e-05 |
| 10,475 | LINE: A Learned Index with Group-Enhanced Leaves and Cache-Optimized Inner Tree | 2026 | SIGMOD | 4.9793485e-05 |
| 11,052 | SHARD: A Scalable and Resize-optimized Hash Index on Disaggregated Memory | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 229 | A Study of Index Structures for Main Memory Database Management Systems | 1986 | VLDB | 0.00023911856 |
| 251 | Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited | 2014 | VLDB | 0.00023143736 |
| 502 | FPTree: A Hybrid SCM-DRAM Persistent and Concurrent B-Tree for Storage Class Memory | 2016 | SIGMOD | 0.00017250534 |
| 631 | Persistent B+-Trees in Non-Volatile Main Memory | 2015 | VLDB | 0.0001541723 |
| 668 | Rethinking Database Algorithms for Phase Change Memory | 2011 | CIDR | 0.00014964806 |
| 964 | BzTree: A High-Performance Latch-free Range Index for Non-Volatile Memory | 2018 | VLDB | 0.00012810196 |
| 1,359 | Dash: Scalable Hashing on Persistent Memory | 2020 | VLDB | 0.00010919021 |
| 1,854 | LB+-Trees: Optimizing Persistent Index Performance on 3DXPoint Memory | 2020 | VLDB | 9.4991601e-05 |
| 2,510 | Viper: An Efficient Hybrid PMem-DRAM Key-Value Store | 2021 | VLDB | 8.3698208e-05 |
| 6,072 | Halo: A Hybrid PMem-DRAM Persistent Hash Index with Fast Recovery | 2022 | SIGMOD | 5.8954394e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,760 | IcebergHT: High Performance Hash Tables Through Stability and Low Associativity | 2023 | SIGMOD |
| 2 | 10,777 | Succinct and Fast Tiny Pointer Hash Tables | 2026 | VLDB |
| 3 | 4,144 | Memory-Contention Responsive Hash Joins | 1994 | VLDB |
| 4 | 5,483 | Plush: A Write-Optimized Persistent Log-Structured Hash-Table | 2022 | VLDB |
| 5 | 7,816 | B^link-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases | 2023 | VLDB |
| 6 | 6,077 | When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories | 2023 | SIGMOD |
| 7 | 11,052 | SHARD: A Scalable and Resize-optimized Hash Index on Disaggregated Memory | 2026 | VLDB |
| 8 | 7,022 | SepHash: A Write-Optimized Hash Index On Disaggregated Memory via Separate Segment Structure | 2024 | VLDB |
| 9 | 1,359 | Dash: Scalable Hashing on Persistent Memory | 2020 | VLDB |
| 10 | 4,516 | Persistent Memory Hash Indexes: An Experimental Evaluation | 2021 | VLDB |