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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
442
Venue
CIDR
Year
2022
Pagerank
6.6819041e-05
Overall Rank
4,468 | 69.35%
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
2,991 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 7.8880723e-05
3,338 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.5068221e-05
4,929 AutoSteer: Learned Query Optimization for Any SQL Database 2023 VLDB 6.4423294e-05
5,767 A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies 2024 VLDB 6.0945741e-05
5,974 Towards instance-optimized data systems 2021 VLDB 6.0230488e-05
6,132 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 5.9660278e-05
6,997 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.7300324e-05
8,410 Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems 2022 VLDB 5.4309397e-05
8,494 POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance 2024 VLDB 5.4142129e-05
8,572 T3: Accurate and Fast Performance Prediction for Relational Database Systems With Compiled Decision Trees 2025 SIGMOD 5.4102362e-05
8,783 Tiresias: Enabling Predictive Autonomous Storage and Indexing 2022 VLDB 5.3740362e-05
8,849 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.3577504e-05
9,428 LIMAO: A Framework for Lifelong Modular Learned Query Optimization 2025 VLDB 5.2709145e-05
10,028 PRICE: A Pretrained Model for Cross-Database Cardinality Estimation 2025 VLDB 5.1745962e-05
10,586 TATA: An Efficient Framework for Task Transfer in Query Plan Representation 2026 VLDB 5.093636e-05
10,881 Robust Plan Evaluation based on Approximate Probabilistic Machine Learning 2025 VLDB 5.093636e-05
11,073 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 5.093636e-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
43 The Case for Learned Index Structures 2018 SIGMOD 0.00046060254
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
87 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00035281619
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
156 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028636811
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
465 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001803934
513 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017190574
563 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001650812
768 Automatic Physical Database Tuning: A Relaxation-based Approach 2005 SIGMOD 0.00014173242
790 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.0001401445
1,174 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011817414
1,852 Automated Partitioning Design in Parallel Database Systems 2011 SIGMOD 9.6134443e-05
2,499 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 8.4993549e-05
7,194 Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning 2018 VLDB 5.6766532e-05
10,041 DBMS Fitting: Why should we learn what we already know? 2020 CIDR 5.1709251e-05
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