Constructing and Analyzing the LSM Compaction Design Space
Summary: Formalizes the LSM-compaction design space via four primitives—trigger, data layout, granularity, and data movement policy—enabling synthesis of existing and novel strategies. Empirically evaluates 10 strategies, reports 12 observations and 7 takeaways to help DB researchers navigate tradeoffs in write/read amplification and space for LSM engines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Subhadeep Sarkar (Boston University)
- 2. Dimitris Staratzis (Boston University)
- 3. Zichen Zhu (Boston University)
- 4. Manos Athanassoulis (Boston University)
BibTeX Citation
@article{sarkar_vldb21,
title = {{Constructing and Analyzing the LSM Compaction Design Space}},
author = {Sarkar, Subhadeep and Staratzis, Dimitris and Zhu, Zichen and Athanassoulis, Manos},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {11},
pages = {2216--2229},
doi = {10.14778/3476249.3476274},
url = {https://doi.org/10.14778/3476249.3476274},
year = {2021}
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