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: hb83c116060d8fb31
Venue: SIGMOD
Year: 2022
Pagerank: 0.00011339256
Overall Rank: 1,250 | 91.60%
DOI: 10.1145/3514221.3517843

Incoming Non-self Citations Over Time

Authors

1. Immanuel Trummer (Cornell University)

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 35 of 35 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
683	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing	2025	VLDB	0.00014817539
1,658	D-Bot: Database Diagnosis System using Large Language Models	2024	VLDB	9.9642078e-05
1,683	ReAcTable: Enhancing ReAct for Table Question Answering	2024	VLDB	9.8822754e-05
2,231	GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization	2024	VLDB	8.7982985e-05
3,250	How Large Language Models Will Disrupt Data Management	2023	VLDB	7.4938546e-05
3,336	GenRewrite: Query Rewriting via Large Language Models	2026	SIGMOD	7.4137763e-05
4,132	SQLStorm: Taking Database Benchmarking into the LLM Era	2025	VLDB	6.7885553e-05
4,442	From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management	2022	VLDB	6.5988336e-05
5,149	LLM for Data Management	2024	VLDB	6.2551644e-05
5,286	An Efficient Transfer Learning Based Configuration Adviser for Database Tuning	2024	VLDB	6.1971399e-05
5,357	Can Large Language Models Predict Data Correlations from Column Names?	2023	VLDB	6.1619918e-05
5,410	ELEET: Efficient Learned Query Execution over Text and Tables	2024	VLDB	6.1408676e-05
6,071	Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4	2023	VLDB	5.8962612e-05
6,791	dbET: Execution Time Distribution-based Plan Selection	2023	SIGMOD	5.6811782e-05
7,070	E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model	2025	VLDB	5.6080535e-05
7,367	ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning	2023	VLDB	5.5411636e-05
7,764	DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger	2024	VLDB	5.4564979e-05
8,838	Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual	2022	SIGMOD	5.2670355e-05
9,115	Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes	2023	VLDB	5.2271833e-05
9,180	Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems	2025	VLDB	5.2120789e-05
9,454	SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads	2026	SIGMOD	5.1736782e-05
9,610	LIMAO: A Framework for Lifelong Modular Learned Query Optimization	2025	VLDB	5.1526493e-05
9,620	Db2une: Tuning Under Pressure via Deep Learning	2024	VLDB	5.1501614e-05
9,904	AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning	2026	SIGMOD	5.1103839e-05
9,956	Graph Transformers for Query Plan Representation: Potentials and Challenges	2025	VLDB	5.1038322e-05
10,291	Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents	2026	VLDB	5.0431863e-05
10,292	Andromeda: Debugging Database Performance Issues with Retrieval-Augmented Large Language Models	2025	SIGMOD	5.0431863e-05
10,580	MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration	2026	SIGMOD	4.9793485e-05
10,596	SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer	2026	SIGMOD	4.9793485e-05
10,641	ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning	2026	SIGMOD	4.9793485e-05
10,698	LIO: A lightweight and interpretable query optimizer based on an evolutionary forest	2026	VLDB	4.9793485e-05
10,729	Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink	2026	VLDB	4.9793485e-05
10,887	MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning	2026	VLDB	4.9793485e-05
11,046	DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning	2026	VLDB	4.9793485e-05
11,719	SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation	2023	SIGMOD	4.9793485e-05

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
78	Automatic Database Management System Tuning Through Large-scale Machine Learning	2017	SIGMOD	0.00036684414
145	Neo: A Learned Query Optimizer	2019	VLDB	0.0002908188
224	Self-Driving Database Management Systems	2017	CIDR	0.00024013745
314	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD	0.00021282642
437	QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning	2019	VLDB	0.00018315867
1,132	Qd-tree: Learning Data Layouts for Big Data Analytics	2020	SIGMOD	0.00011898257
1,279	AI Meets AI: Leveraging Query Executions to Improve Index Recommendations	2019	SIGMOD	0.00011226878
1,289	An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems	2021	VLDB	0.00011162479
1,603	SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning	2019	SIGMOD	0.00010097649
2,478	Learning a Partitioning Advisor for Cloud Databases	2020	SIGMOD	8.4079121e-05
8,258	The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual”	2021	VLDB	5.3671363e-05

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