LSM-Raft: Optimizing Raft for LSM-tree Store
Summary: LSM-Raft models the replicated Raft log as elements—atomic entries or compacted SSTables—aligning log semantics with LSM-trees to eliminate follower-side transmission and duplicate compaction. It generalizes Raft safety (TLA+ verified) and uses cost-aware sync to swap delayed entries for SSTables, boosting throughput and reducing resource use in high-ingest, compaction-heavy workloads. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Xiaojian Zhang (Tsinghua University)
- 2. Xinyu Tan (Timecho Limited)
- 3. Shaoxu Song (Tsinghua University)
- 4. Xiangdong Huang (Tsinghua University)
- 5. Jianmin Wang (Tsinghua University)
BibTeX Citation
@inproceedings{zhang_sigmod26,
title = {{LSM-Raft: Optimizing Raft for LSM-tree Store}},
author = {Zhang, Xiaojian and Tan, Xinyu and Song, Shaoxu and Huang, Xiangdong and Wang, Jianmin},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3769805},
url = {https://dl.acm.org/doi/10.1145/3769805},
year = {2026}
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Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 271 | TiDB: A Raft-based HTAP Database | 2020 | VLDB | 0.00022703024 |
| 1,283 | PolarFS: An Ultra-low Latency and Failure Resilient Distributed File System for Shared Storage Cloud Database | 2018 | VLDB | 0.00011337934 |
| 3,540 | Elf: Erasing-based Lossless Floating-Point Compression | 2023 | VLDB | 7.3282654e-05 |
| 3,793 | Apache IoTDB: A Time Series Database for IoT Applications | 2023 | SIGMOD | 7.1217835e-05 |
| 4,762 | Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB | 2022 | VLDB | 6.519484e-05 |
| 5,780 | Compactionary: A Dictionary for LSM Compactions | 2022 | SIGMOD | 6.091058e-05 |
| 6,418 | PALF: Replicated Write-Ahead Logging for Distributed Databases | 2024 | VLDB | 5.8819368e-05 |
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