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CAMAL: Optimizing LSM-trees via Active Learning

Summary: CAMAL tunes LSM-tree parameters via active learning, coupling ML with cost models to optimize reads/writes. Decoupled active learning, online adaptation to dynamic workloads, and extrapolation yield 28% average gains and up to 8x over prior RocksDB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h242dde7a889f3f87
Venue
SIGMOD
Year
2024
Pagerank
5.4291824e-05
Overall Rank
7,905 | 46.86%
DOI
10.1145/3677138

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{yu_sigmod24,
        title = {{CAMAL: Optimizing LSM-trees via Active Learning}},
        author = {Yu, Weiping and Luo, Siqiang and Yu, Zihao and Cong, Gao},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3677138},
        url = {https://dl.acm.org/doi/10.1145/3677138},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank Citing Paper Year Venue Pagerank
8,221 ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads 2026 VLDB 5.3759492e-05
9,056 Aster: Enhancing LSM-structures for Scalable Graph Database 2025 SIGMOD 5.2295363e-05
9,643 Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding 2026 SIGMOD 5.1453267e-05
9,646 Are Joins over LSM-trees Ready? Take RocksDB as an Example 2025 VLDB 5.1453267e-05
10,143 Does A Fish Need a Bicycle? The Case for On-Chip NPUs in DBMS 2026 CIDR 5.0715586e-05
10,652 Improving Range Scan Performance in LSM-trees with Group Caching 2026 SIGMOD 4.9793485e-05
11,430 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 46 of 46 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 0.00046284649
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036684414
224 Self-Driving Database Management Systems 2017 CIDR 0.00024013745
236 LinkBench: a Database Benchmark Based on the Facebook Social Graph 2013 SIGMOD 0.00023671522
258 bLSM: A General Purpose Log Structured Merge Tree 2012 SIGMOD 0.00022939599
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021282642
318 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021167555
322 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021041865
400 Monkey: Optimal Navigable Key-Value Store 2017 SIGMOD 0.00019129175
437 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00018315867
461 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00017829982
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016403151
692 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014741011
754 Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging 2018 SIGMOD 0.00014236015
816 SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data 2017 VLDB 0.00013687311
891 SuRF: Practical Range Query Filtering with Fast Succinct Tries 2018 SIGMOD 0.00013245926
1,064 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012202282
1,289 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011162479
1,303 Realtime Data Processing at Facebook 2016 SIGMOD 0.0001110427
1,313 X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing 2019 SIGMOD 0.00011060108
1,422 The Log-Structured Merge-Bush & the Wacky Continuum 2019 SIGMOD 0.00010725538
1,569 Compaction management in distributed key-value datastores 2015 VLDB 0.00010211433
1,889 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.4273689e-05
1,893 WeTune: Automatic Discovery and Verification of Query Rewrite Rules 2022 SIGMOD 9.4126198e-05
1,980 Chucky: A Succinct Cuckoo Filter for LSM-Tree 2021 SIGMOD 9.2595896e-05
2,275 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.7090584e-05
2,664 Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores 2020 SIGMOD 8.1569551e-05
2,770 Constructing and Analyzing the LSM Compaction Design Space 2021 VLDB 8.037607e-05
2,788 Lethe: A Tunable Delete-Aware LSM Engine 2020 SIGMOD 8.0133966e-05
2,868 Spooky: Granulating LSM-Tree Compactions Correctly 2022 VLDB 7.9241972e-05
2,995 Accordion: Better Memory Organization for LSM Key-Value Stores 2018 VLDB 7.7705434e-05
3,479 Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine 2022 VLDB 7.2695068e-05
3,590 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 7.1865343e-05
3,671 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 7.1100217e-05
3,965 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.8918628e-05
4,197 Proteus: A Self-Designing Range Filter 2022 SIGMOD 6.7417716e-05
4,507 Optimization for Active Learning-based Interactive Database Exploration 2019 VLDB 6.5715731e-05
4,772 LogKV: Exploiting Key-Value Stores for Event Log Processing 2013 CIDR 6.4229185e-05
4,850 The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data 2023 SIGMOD 6.3808017e-05
5,018 Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems 2021 VLDB 6.3121723e-05
5,044 Lightweight Cardinality Estimation in LSM-based Systems 2018 SIGMOD 6.30014e-05
5,046 Dissecting, Designing, and Optimizing LSM-based Data Stores 2022 SIGMOD 6.3000825e-05
5,248 Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty 2022 VLDB 6.211056e-05
6,124 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 5.8788211e-05
7,915 Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems 2022 SIGMOD 5.4276987e-05
9,181 Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space 2024 SIGMOD 5.2118872e-05
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Semantically Similar Papers

# Overall Rank Paper Year Venue
1 816 SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data 2017 VLDB
2 10,652 Improving Range Scan Performance in LSM-trees with Group Caching 2026 SIGMOD
3 10,856 How Much Can RocksDB Chew? Achieving Near-Zero Write Stalls with Sustainable RocksDB 2026 VLDB
4 11,430 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB
5 10,645 From Learning to Recycling: A Log-Structured Learned-Less Index 2026 SIGMOD
6 8,221 ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads 2026 VLDB
7 9,646 Are Joins over LSM-trees Ready? Take RocksDB as an Example 2025 VLDB
8 9,181 Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space 2024 SIGMOD
9 9,130 Rethinking The Compaction Policies in LSM-trees 2025 SIGMOD
10 6,124 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD