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Machine Learning for Databases

Summary: Tutorial on ML-driven database optimization, spanning NP-hard search, regression (cost/cardinality and benefit estimation), and workload prediction tasks. Reviews techniques for cloud-scale tuning, plan selection, physical design, and forecasting, and identifies open challenges. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12713
Venue
VLDB
Year
2021
Pagerank
6.2603359e-05
Overall Rank
5,340 | 63.37%
DOI
10.14778/3476311.3476405

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb21,
        title = {{Machine Learning for Databases}},
        author = {Li, Guoliang and Zhou, Xuanhe and Cao, Lei},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {12},
        pages = {3190--3193},
        doi = {10.14778/3476311.3476405},
        url = {https://doi.org/10.14778/3476311.3476405},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank Citing Paper Year Venue Pagerank
2,452 A Learned Query Rewrite System using Monte Carlo Tree Search 2022 VLDB 8.5584e-05
2,723 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 8.2049453e-05
3,662 openGauss: An Autonomous Database System 2021 VLDB 7.2166682e-05
3,688 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 7.201795e-05
4,449 From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management 2022 VLDB 6.697553e-05
5,169 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 6.3349035e-05
6,101 LLM for Data Management 2024 VLDB 5.9774273e-05
6,600 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.8250114e-05
6,735 Join Order Selection with Deep Reinforcement Learning: Fundamentals, Techniques, and Challenges 2023 VLDB 5.7878855e-05
7,901 Cloud Databases: New Techniques, Challenges, and Opportunities 2022 VLDB 5.5185913e-05
9,777 PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking 2025 VLDB 5.2209769e-05
10,453 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 5.093636e-05
11,065 Learned Cost Models for Query Optimization: From Batch to Streaming Systems 2025 VLDB 5.093636e-05
11,607 Machine Programming: Turning Data into Programmer Productivity 2022 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 35 of 35 cited papers.

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

Rank Cited Paper Year Venue Pagerank
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035316107
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
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
401 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019092557
447 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018322593
461 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00018068441
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
873 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013481915
1,092 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012221946
1,170 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011827259
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011361878
1,344 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011094717
1,481 Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms 2020 VLDB 0.00010644613
1,573 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010328171
1,686 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010008686
1,712 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 9.9492299e-05
1,942 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.4451535e-05
2,313 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.762627e-05
2,499 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 8.4993549e-05
2,812 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 8.0979597e-05
2,888 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.9941489e-05
3,086 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 7.7708642e-05
3,116 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD 7.7390737e-05
3,219 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.6283153e-05
3,662 openGauss: An Autonomous Database System 2021 VLDB 7.2166682e-05
3,678 Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? 2015 SIGMOD 7.207554e-05
3,953 Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload 2021 SIGMOD 6.996368e-05
4,617 Learned Cardinality Estimation for Similarity Queries 2021 SIGMOD 6.604437e-05
7,394 DBMind: A Self-Driving Platform in openGauss 2021 VLDB 5.6259065e-05
8,722 Machine Learning Meets Big Spatial Data 2019 VLDB 5.3769871e-05
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