Dissecting, Designing, and Optimizing LSM-based Data Stores
Summary: Structured, tutorial-like treatment of LSM trees, detailing core operations, access paths, and ingestion/compaction tradeoffs for researchers. Surveys recent optimizations and the design space across ingestion, reads, and queries, offering a roadmap to tune LSM engines and identify open challenges. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Subhadeep Sarkar (Boston University)
- 2. Manos Athanassoulis (Boston University)
BibTeX Citation
@inproceedings{sarkar_sigmod22,
title = {{Dissecting, Designing, and Optimizing LSM-based Data Stores}},
author = {Sarkar, Subhadeep and Athanassoulis, Manos},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3522563},
url = {https://dl.acm.org/doi/10.1145/3514221.3522563},
year = {2022}
}
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