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Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads

Summary: RusKey pioneers online LSM-tree design and RL-guided LSM transformations for dynamic workloads. FLSM-tree enables efficient transitions between compaction policies without workload priors, delivering up to 4× end-to-end performance vs RocksDB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hfbf619f14249df0d
Venue
SIGMOD
Year
2023
Pagerank
5.8771312e-05
Overall Rank
6,123 | 58.85%
DOI
10.1145/3617333

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{mo_sigmod23,
        title = {{Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads}},
        author = {Mo, Dingheng and Chen, Fanchao and Luo, Siqiang and Shan, Caihua},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3617333},
        url = {https://dl.acm.org/doi/10.1145/3617333},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
4,753 GRF: A Global Range Filter for LSM-Trees with Shape Encoding 2024 SIGMOD 6.4334982e-05
4,878 Oasis: An Optimal Disjoint Segmented Learned Range Filter 2024 VLDB 6.369385e-05
7,909 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 5.4266123e-05
8,228 ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads 2026 VLDB 5.3734043e-05
8,761 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 5.2821881e-05
9,064 Aster: Enhancing LSM-structures for Scalable Graph Database 2025 SIGMOD 5.2270607e-05
9,140 Rethinking The Compaction Policies in LSM-trees 2025 SIGMOD 5.2208299e-05
9,191 Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space 2024 SIGMOD 5.20942e-05
9,654 Are Joins over LSM-trees Ready? Take RocksDB as an Example 2025 VLDB 5.142891e-05
10,307 DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees 2025 VLDB 5.0392037e-05
10,491 Mathematical Foundations of Poisoning Attacks on Linear Regression over Cumulative Distribution Functions 2026 SIGMOD 4.9769913e-05
10,663 Improving Range Scan Performance in LSM-trees with Group Caching 2026 SIGMOD 4.9769913e-05
10,854 Rethinking Learned Index and LSM-tree Integration 2026 VLDB 4.9769913e-05
10,865 How Much Can RocksDB Chew? Achieving Near-Zero Write Stalls with Sustainable RocksDB 2026 VLDB 4.9769913e-05
11,436 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 4.9769913e-05
11,582 TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning 2024 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 33 of 33 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046363107
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036675568
224 Self-Driving Database Management Systems 2017 CIDR 0.00024011047
236 LinkBench: a Database Benchmark Based on the Facebook Social Graph 2013 SIGMOD 0.00023664907
258 bLSM: A General Purpose Log Structured Merge Tree 2012 SIGMOD 0.00022932099
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021276452
400 Monkey: Optimal Navigable Key-Value Store 2017 SIGMOD 0.00019124757
437 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00018310278
461 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017841988
585 Workload-Aware Database Monitoring and Consolidation 2011 SIGMOD 0.00015942562
753 Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging 2018 SIGMOD 0.00014232329
817 SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data 2017 VLDB 0.00013685662
889 SuRF: Practical Range Query Filtering with Fast Succinct Tries 2018 SIGMOD 0.00013243846
921 AsterixDB: A Scalable, Open Source BDMS 2014 VLDB 0.00013064043
1,289 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011159167
1,313 X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing 2019 SIGMOD 0.00011055196
1,422 The Log-Structured Merge-Bush & the Wacky Continuum 2019 SIGMOD 0.00010720711
1,569 Compaction management in distributed key-value datastores 2015 VLDB 0.00010207173
1,891 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.4233024e-05
1,982 Chucky: A Succinct Cuckoo Filter for LSM-Tree 2021 SIGMOD 9.2570284e-05
2,664 Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores 2020 SIGMOD 8.1532061e-05
2,771 Constructing and Analyzing the LSM Compaction Design Space 2021 VLDB 8.0338932e-05
2,788 Lethe: A Tunable Delete-Aware LSM Engine 2020 SIGMOD 8.0114055e-05
2,868 Spooky: Granulating LSM-Tree Compactions Correctly 2022 VLDB 7.9205462e-05
2,996 Accordion: Better Memory Organization for LSM Key-Value Stores 2018 VLDB 7.7670057e-05
3,233 TreeLine: An Update-In-Place Key-Value Store for Modern Storage 2023 VLDB 7.5008192e-05
3,480 Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine 2022 VLDB 7.2661848e-05
3,672 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 7.1084283e-05
4,198 Proteus: A Self-Designing Range Filter 2022 SIGMOD 6.7385809e-05
4,943 A Comparative Study of Secondary Indexing Techniques in LSM-based NoSQL Databases 2018 SIGMOD 6.3423449e-05
5,022 Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems 2021 VLDB 6.309271e-05
5,047 Lightweight Cardinality Estimation in LSM-based Systems 2018 SIGMOD 6.2972183e-05
5,250 Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty 2022 VLDB 6.2092552e-05
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