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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
7030
Venue
SIGMOD
Year
2024
Pagerank
5.5508469e-05
Overall Rank
7,757 | 46.79%
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
8,811 ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads 2026 VLDB 5.3652966e-05
8,896 Aster: Enhancing LSM-structures for Scalable Graph Database 2025 SIGMOD 5.3495662e-05
9,463 Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding 2026 SIGMOD 5.2634238e-05
9,465 Are Joins over LSM-trees Ready? Take RocksDB as an Example 2025 VLDB 5.2634238e-05
10,130 Does A Fish Need a Bicycle? The Case for On-Chip NPUs in DBMS 2026 CIDR 5.093636e-05
10,465 Improving Range Scan Performance in LSM-trees with Group Caching 2026 SIGMOD 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 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
43 The Case for Learned Index Structures 2018 SIGMOD 0.00046060254
86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035316107
232 LinkBench: a Database Benchmark Based on the Facebook Social Graph 2013 SIGMOD 0.00023830978
234 Self-Driving Database Management Systems 2017 CIDR 0.00023810722
275 bLSM: A General Purpose Log Structured Merge Tree 2012 SIGMOD 0.00022630189
323 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021264788
334 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00020875082
347 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00020651582
446 Monkey: Optimal Navigable Key-Value Store 2017 SIGMOD 0.00018332392
465 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001803934
498 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00017440583
563 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001650812
697 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014888851
831 Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging 2018 SIGMOD 0.00013748512
857 SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data 2017 VLDB 0.00013568886
880 SuRF: Practical Range Query Filtering with Fast Succinct Tries 2018 SIGMOD 0.00013432693
1,061 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012369764
1,344 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011094717
1,347 X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing 2019 SIGMOD 0.00011073571
1,389 Realtime Data Processing at Facebook 2016 SIGMOD 0.00010943767
1,502 The Log-Structured Merge-Bush & the Wacky Continuum 2019 SIGMOD 0.00010557694
1,580 Compaction management in distributed key-value datastores 2015 VLDB 0.00010299919
1,942 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.4451535e-05
1,954 Chucky: A Succinct Cuckoo Filter for LSM-Tree 2021 SIGMOD 9.4208165e-05
1,982 WeTune: Automatic Discovery and Verification of Query Rewrite Rules 2022 SIGMOD 9.3573897e-05
2,313 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.762627e-05
2,698 Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores 2020 SIGMOD 8.2450522e-05
2,755 Lethe: A Tunable Delete-Aware LSM Engine 2020 SIGMOD 8.163097e-05
2,970 Accordion: Better Memory Organization for LSM Key-Value Stores 2018 VLDB 7.9122212e-05
3,005 Constructing and Analyzing the LSM Compaction Design Space 2021 VLDB 7.8608206e-05
3,054 Spooky: Granulating LSM-Tree Compactions Correctly 2022 VLDB 7.8090808e-05
3,577 Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine 2022 VLDB 7.2930211e-05
3,586 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 7.2834069e-05
3,802 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 7.1115502e-05
3,961 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.987575e-05
4,119 Proteus: A Self-Designing Range Filter 2022 SIGMOD 6.8907395e-05
4,420 Optimization for Active Learning-based Interactive Database Exploration 2019 VLDB 6.7132724e-05
4,751 The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data 2023 SIGMOD 6.5241784e-05
4,779 LogKV: Exploiting Key-Value Stores for Event Log Processing 2013 CIDR 6.5125667e-05
4,945 Lightweight Cardinality Estimation in LSM-based Systems 2018 SIGMOD 6.4321265e-05
5,226 Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems 2021 VLDB 6.3090383e-05
5,229 Dissecting, Designing, and Optimizing LSM-based Data Stores 2022 SIGMOD 6.307514e-05
5,766 Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty 2022 VLDB 6.094771e-05
6,843 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 5.7573899e-05
7,785 Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems 2022 SIGMOD 5.5450355e-05
9,021 Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space 2024 SIGMOD 5.3305499e-05
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Semantically Similar Papers

# Overall Rank Paper Year Venue
1 5,229 Dissecting, Designing, and Optimizing LSM-based Data Stores 2022 SIGMOD
2 857 SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data 2017 VLDB
3 10,465 Improving Range Scan Performance in LSM-trees with Group Caching 2026 SIGMOD
4 11,073 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB
5 10,458 From Learning to Recycling: A Log-Structured Learned-Less Index 2026 SIGMOD
6 8,811 ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads 2026 VLDB
7 9,465 Are Joins over LSM-trees Ready? Take RocksDB as an Example 2025 VLDB
8 9,021 Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space 2024 SIGMOD
9 9,457 Rethinking The Compaction Policies in LSM-trees 2025 SIGMOD
10 6,843 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD