Improving Range Scan Performance in LSM-trees with Group Caching
Summary: LSM-tree range scans suffer from asymmetric I/O value across levels; Group Cache exploits this by caching minimal KV Groups, the smallest query-relevant sets, instead of blocks or full results. A size-aware policy favors small/high-utility groups and handles compaction/hotness, yielding up to 3x faster scans or same speed with 75% less cache. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Hengrui Wang (Tsinghua University)
- 2. Jiaoyi Zhang (East China Normal University)
- 3. Jiansheng Qiu (Tsinghua University)
- 4. Fangzhou Yuan (Tsinghua University)
- 5. Huanchen Zhang (Shanghai Qi Zhi Institute; Tsinghua University)
BibTeX Citation
@inproceedings{wang_sigmod26,
title = {{Improving Range Scan Performance in LSM-trees with Group Caching}},
author = {Wang, Hengrui and Zhang, Jiaoyi and Qiu, Jiansheng and Yuan, Fangzhou and Zhang, Huanchen},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786661},
url = {https://dl.acm.org/doi/10.1145/3786661},
year = {2026}
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