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Towards a Hands-Free Query Optimizer through Deep Learning

Summary: Vision to replace heuristic, hand-tuned optimizers with end-to-end deep RL agents that learn plan search, cost estimation, and operator choices, reducing manual tuning. Paper analyzes deployment challenges (exploration, reward sparsity, generalization) and sketches three DL approaches. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
haa21dd53ff53ce42
Venue
CIDR
Year
2019
Pagerank
7.6809918e-05
Overall Rank
3,062 | 79.48%
DOI
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PDF
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Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{marcus_cidr19,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '19},
        title = {{Towards a Hands-Free Query Optimizer through Deep Learning}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Marcus, Ryan and Papaemmanouil, Olga},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 19 of 19 citing papers.

Rank Citing Paper Year Venue Pagerank
142 Neo: A Learned Query Optimizer 2019 VLDB 0.00029114937
545 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001657599
1,529 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010320909
1,740 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.7289523e-05
1,771 Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases 2020 VLDB 9.6775181e-05
1,888 WeTune: Automatic Discovery and Verification of Query Rewrite Rules 2022 SIGMOD 9.4148912e-05
2,772 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 8.0148928e-05
2,971 Proving Query Equivalence Using Linear Integer Arithmetic 2023 SIGMOD 7.7851336e-05
3,282 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 7.4491295e-05
3,716 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0541948e-05
3,967 Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload 2021 SIGMOD 6.8772718e-05
4,202 Kepler: Robust Learning for Faster Parametric Query Optimization 2023 SIGMOD 6.7258607e-05
5,687 HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning 2023 VLDB 6.0201937e-05
6,095 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 5.8706416e-05
6,109 Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective 2024 VLDB 5.8676956e-05
7,975 Robust Query Processing: Mission Possible 2020 VLDB 5.3985544e-05
8,389 GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints 2026 SIGMOD 5.3250456e-05
8,902 Tiresias: Enabling Predictive Autonomous Storage and Indexing 2022 VLDB 5.2387388e-05
10,195 Generating Application-Specific Data Layouts for In-memory Databases 2019 VLDB 5.0516135e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061463175
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046249672
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034050614
158 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028049555
224 Self-Driving Database Management Systems 2017 CIDR 0.00023973185
234 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.00023726296
457 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00017915659
568 Towards a Robust Query Optimizer: A Principled and Practical Approach 2005 SIGMOD 0.00016221103
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