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DB-BERT: A Database Tuning Tool that "Reads the Manual"

Summary: DB-BERT uses BERT-based NLP to read tuning manuals, turning natural-language hints into parameter recommendations. RL-driven training and run-time learning aggregate hints to optimize Postgres/MySQL across TPC-C/TPC-H; code released. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6357
Venue
SIGMOD
Year
2022
Pagerank
0.00011117488
Overall Rank
1,337 | 90.83%
DOI
10.1145/3514221.3517843

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{trummer_sigmod22,
        title = {{DB-BERT: A Database Tuning Tool that "Reads the Manual"}},
        author = {Trummer, Immanuel},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3517843},
        url = {https://dl.acm.org/doi/10.1145/3514221.3517843},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 34 of 34 citing papers.

Rank Citing Paper Year Venue Pagerank
1,343 DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing 2025 VLDB 0.00011095866
1,920 D-Bot: Database Diagnosis System using Large Language Models 2024 VLDB 9.4846185e-05
1,981 ReAcTable: Enhancing ReAct for Table Question Answering 2024 VLDB 9.3579557e-05
2,298 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 8.7886538e-05
3,536 How Large Language Models Will Disrupt Data Management 2023 VLDB 7.3297343e-05
4,363 GenRewrite: Query Rewriting via Large Language Models 2026 SIGMOD 6.7423909e-05
4,449 From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management 2022 VLDB 6.697553e-05
5,171 An Efficient Transfer Learning Based Configuration Adviser for Database Tuning 2024 VLDB 6.3347618e-05
5,354 Can Large Language Models Predict Data Correlations from Column Names? 2023 VLDB 6.2515841e-05
5,744 SQLStorm: Taking Database Benchmarking into the LLM Era 2025 VLDB 6.1019672e-05
6,101 LLM for Data Management 2024 VLDB 5.9774273e-05
6,118 ELEET: Efficient Learned Query Execution over Text and Tables 2024 VLDB 5.9698795e-05
6,378 Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4 2023 VLDB 5.8929835e-05
6,997 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.7300324e-05
7,193 dbET: Execution Time Distribution-based Plan Selection 2023 SIGMOD 5.6770249e-05
7,978 ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning 2023 VLDB 5.514996e-05
8,669 Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual 2022 SIGMOD 5.3879261e-05
9,351 DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger 2024 VLDB 5.2839552e-05
9,428 LIMAO: A Framework for Lifelong Modular Learned Query Optimization 2025 VLDB 5.2709145e-05
9,441 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 5.2678428e-05
9,775 Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems 2025 VLDB 5.2209769e-05
10,066 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.1643809e-05
10,340 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD 5.093636e-05
10,384 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 5.093636e-05
10,401 SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer 2026 SIGMOD 5.093636e-05
10,453 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 5.093636e-05
10,501 SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads 2026 SIGMOD 5.093636e-05
10,513 LIO: A lightweight and interpretable query optimizer based on an evolutionary forest 2026 VLDB 5.093636e-05
10,535 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 5.093636e-05
10,547 Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink 2026 VLDB 5.093636e-05
10,599 DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning 2026 VLDB 5.093636e-05
10,705 Andromeda: Debugging Database Performance Issues with Retrieval-Augmented Large Language Models 2025 SIGMOD 5.093636e-05
11,083 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 5.093636e-05
11,404 SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation 2023 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Rank Cited Paper Year Venue Pagerank
86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035316107
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
234 Self-Driving Database Management Systems 2017 CIDR 0.00023810722
334 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00020875082
498 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00017440583
1,135 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00012032847
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011361878
1,344 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011094717
1,712 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 9.9492299e-05
2,499 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 8.4993549e-05
8,127 The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” 2021 VLDB 5.4826853e-05
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