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Machine Learning for Databases

Summary: Tutorial on ML-based DB optimization, taxonomy of NP-hard offline tasks (knob space, index/view, partitioning) and online tasks (query rewrite, join order). Reviews regression and prediction approaches for cost, cardinality, latency, and workload, and outlines open research challenges. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12526
Venue
VLDB
Year
2021
Pagerank
5.3256401e-05
Overall Rank
5,787 | 59.79%
DOI
10.14778/3476311.3476405

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank Citing Paper Year Venue Pagerank
3,241 A Learned Query Rewrite System using Monte Carlo Tree Search 2022 VLDB 7.32744e-05
3,455 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 7.0760196e-05
4,151 openGauss: An Autonomous Database System 2021 VLDB 6.4020605e-05
4,543 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 6.0953507e-05
4,916 From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management 2022 VLDB 5.827729e-05
5,289 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 5.5790771e-05
6,376 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.0861082e-05
6,862 Join Order Selection with Deep Reinforcement Learning: Fundamentals, Techniques, and Challenges 2023 VLDB 4.9004921e-05
7,016 LLM for Data Management 2024 VLDB 4.8561622e-05
8,150 Cloud Databases: New Techniques, Challenges, and Opportunities 2022 VLDB 4.5714701e-05
9,645 PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking 2025 VLDB 4.3067693e-05
10,164 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.1905499e-05
10,844 Learned Cost Models for Query Optimization: From Batch to Streaming Systems 2025 VLDB 4.1905499e-05
11,412 Machine Programming: Turning Data into Programmer Productivity 2022 VLDB 4.1905499e-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
183 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036859633
203 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034868567
329 Neo: A Learned Query Optimizer 2019 VLDB 0.00027301488
510 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021420477
606 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019251186
704 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017785557
752 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00017138049
779 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00016719473
804 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001643674
819 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00016237497
876 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00015660534
1,239 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00013091459
1,321 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012605455
1,464 Learning Multi-dimensional Indexes 2020 SIGMOD 0.0001184772
1,727 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00010731889
1,816 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00010438512
1,856 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00010319105
1,892 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010176219
2,022 Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms 2020 VLDB 9.7623022e-05
2,222 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 9.2598438e-05
2,364 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 8.955077e-05
2,606 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 8.4621503e-05
3,066 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 7.6255556e-05
3,144 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 7.4844943e-05
3,466 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.0645718e-05
3,580 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 6.9460425e-05
3,692 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 6.8328808e-05
3,884 Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? 2015 SIGMOD 6.6622645e-05
3,924 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 6.6227223e-05
3,995 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD 6.5475871e-05
4,151 openGauss: An Autonomous Database System 2021 VLDB 6.4020605e-05
4,800 Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload 2021 SIGMOD 5.9077188e-05
5,477 Learned Cardinality Estimation for Similarity Queries 2021 SIGMOD 5.4856699e-05
7,308 DBMind: A Self-Driving Platform in openGauss 2021 VLDB 4.7620018e-05
8,784 Machine Learning Meets Big Spatial Data 2019 VLDB 4.4473392e-05
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