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One Model to Rule them All: Towards Zero-Shot Learning for Databases

Summary: Propose zero-shot DB components: one transfer-learned model usable on new databases out-of-the-box, avoiding per-database training and allowing few-shot refinement. Demonstrate feasibility for physical cost estimation with promising results and outline challenges and a roadmap to generalize zero-shot to other DB tasks/systems. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h0de1100d76e9baea
Venue
CIDR
Year
2022
Pagerank
6.553705e-05
Overall Rank
4,538 | 69.50%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{hilprecht_cidr22,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '22},
        title = {{One Model to Rule them All: Towards Zero-Shot Learning for Databases}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Hilprecht, Benjamin and Binnig, Carsten},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 17 of 17 citing papers.

Rank Citing Paper Year Venue Pagerank
2,846 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 7.9453616e-05
3,327 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.4207879e-05
4,683 AutoSteer: Learned Query Optimization for Any SQL Database 2023 VLDB 6.4716143e-05
5,481 A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies 2024 VLDB 6.1125124e-05
5,716 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 6.0194657e-05
5,974 Towards instance-optimized data systems 2021 VLDB 5.9305575e-05
7,070 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.6080535e-05
7,410 POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance 2024 VLDB 5.5342768e-05
7,460 T3: Accurate and Fast Performance Prediction for Relational Database Systems With Compiled Decision Trees 2025 SIGMOD 5.5215755e-05
8,563 Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems 2022 VLDB 5.3138647e-05
8,872 Tiresias: Enabling Predictive Autonomous Storage and Indexing 2022 VLDB 5.2584643e-05
9,012 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.2375369e-05
9,610 LIMAO: A Framework for Lifelong Modular Learned Query Optimization 2025 VLDB 5.1526493e-05
10,216 PRICE: A Pretrained Model for Cross-Database Cardinality Estimation 2025 VLDB 5.0584922e-05
10,924 TATA: An Efficient Framework for Task Transfer in Query Plan Representation 2026 VLDB 4.9793485e-05
11,283 Robust Plan Evaluation based on Approximate Probabilistic Machine Learning 2025 VLDB 4.9793485e-05
11,430 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

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

Rank Cited Paper Year Venue Pagerank
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
88 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00035351639
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
151 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028672526
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021282642
318 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021167555
406 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019045544
430 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018409112
461 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00017829982
512 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017050173
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016403151
751 Automatic Physical Database Tuning: A Relaxation-based Approach 2005 SIGMOD 0.0001425375
779 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.00014030069
1,191 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011590153
1,883 Automated Partitioning Design in Parallel Database Systems 2011 SIGMOD 9.4391795e-05
2,478 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 8.4079121e-05
7,315 Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning 2018 VLDB 5.554799e-05
10,217 DBMS Fitting: Why should we learn what we already know? 2020 CIDR 5.0582281e-05
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