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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
7.6960881e-05
Overall Rank
3,057 | 79.46%
DOI
-
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
144 Neo: A Learned Query Optimizer 2019 VLDB 0.00029090793
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016408613
1,525 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010355133
1,735 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.7566604e-05
1,849 Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases 2020 VLDB 9.5032324e-05
1,890 WeTune: Automatic Discovery and Verification of Query Rewrite Rules 2022 SIGMOD 9.4234723e-05
2,765 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 8.0401855e-05
2,963 Proving Query Equivalence Using Linear Integer Arithmetic 2023 SIGMOD 7.8035846e-05
3,272 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 7.4711788e-05
3,710 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0775695e-05
3,979 Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload 2021 SIGMOD 6.8791817e-05
4,191 Kepler: Robust Learning for Faster Parametric Query Optimization 2023 SIGMOD 6.7425275e-05
5,675 HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning 2023 VLDB 6.0401656e-05
6,081 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 5.8897947e-05
6,298 Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective 2024 VLDB 5.8177684e-05
7,958 Robust Query Processing: Mission Possible 2020 VLDB 5.4164639e-05
8,373 GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints 2026 SIGMOD 5.3427119e-05
8,881 Tiresias: Enabling Predictive Autonomous Storage and Indexing 2022 VLDB 5.255975e-05
10,160 Generating Application-Specific Data Layouts for In-memory Databases 2019 VLDB 5.0683727e-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 0.00061067652
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046363107
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034099838
158 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028038831
224 Self-Driving Database Management Systems 2017 CIDR 0.00024011047
232 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.0002378554
454 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00017955913
569 Towards a Robust Query Optimizer: A Principled and Practical Approach 2005 SIGMOD 0.00016244162
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