Compactionary: A Dictionary for LSM Compactions
Summary: Compactionary formalizes LSM compaction as four levers: when to compact, post-compact organization, amount, and data selection. An interactive demo lets researchers tailor workloads and tunings, switch strategies, and explore hybrid compaction plans. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Subhadeep Sarkar (Boston University)
- 2. Kaijie Chen (Boston University)
- 3. Zichen Zhu (Boston University)
- 4. Manos Athanassoulis (Boston University)
BibTeX Citation
@inproceedings{sarkar_sigmod22,
title = {{Compactionary: A Dictionary for LSM Compactions}},
author = {Sarkar, Subhadeep and Chen, Kaijie and Zhu, Zichen and Athanassoulis, Manos},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3520169},
url = {https://dl.acm.org/doi/10.1145/3514221.3520169},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,773 | SplinterDB and Maplets: Improving the Tradeoffs in Key-Value Store Compaction Policy | 2023 | SIGMOD | 7.1384476e-05 |
| 5,229 | Dissecting, Designing, and Optimizing LSM-based Data Stores | 2022 | SIGMOD | 6.307514e-05 |
| 8,463 | Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines | 2024 | SIGMOD | 5.4205593e-05 |
| 10,383 | LSM-Raft: Optimizing Raft for LSM-tree Store | 2026 | SIGMOD | 5.093636e-05 |
| 10,471 | Making LSM-Tree-based Key-Value Store Practical and Efficient for Multi-Tenant Serverless Cloud Databases | 2026 | SIGMOD | 5.093636e-05 |
| 11,002 | From FASTER to F2: Evolving Concurrent Key-Value Store Designs for Large Skewed Workloads | 2025 | VLDB | 5.093636e-05 |
| 11,073 | AXE: A Task Decomposition Approach to Learned LSM Tuning | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 472 | Optimizing Space Amplification in RocksDB | 2017 | CIDR | 0.000179044 |
| 2,755 | Lethe: A Tunable Delete-Aware LSM Engine | 2020 | SIGMOD | 8.163097e-05 |
| 3,005 | Constructing and Analyzing the LSM Compaction Design Space | 2021 | VLDB | 7.8608206e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 857 | SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data | 2017 | VLDB |
| 2 | 8,811 | ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads | 2026 | VLDB |
| 3 | 5,803 | An LSM-based Tuple Compaction Framework for Apache AsterixDB | 2020 | VLDB |
| 4 | 9,535 | Disco: A Compact Index for LSM-trees | 2025 | SIGMOD |
| 5 | 6,828 | Breaking Down Memory Walls in LSM-based Storage Systems | 2020 | SIGMOD |
| 6 | 1,580 | Compaction management in distributed key-value datastores | 2015 | VLDB |
| 7 | 7,693 | CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure | 2024 | SIGMOD |
| 8 | 5,229 | Dissecting, Designing, and Optimizing LSM-based Data Stores | 2022 | SIGMOD |
| 9 | 9,457 | Rethinking The Compaction Policies in LSM-trees | 2025 | SIGMOD |
| 10 | 3,005 | Constructing and Analyzing the LSM Compaction Design Space | 2021 | VLDB |