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: 6295
Venue: SIGMOD
Year: 2022
Pagerank: 0.00012146739
Overall Rank: 1,407 | 90.22%
DOI: 10.1145/3514221.3517843

Incoming Non-self Citations Over Time

Authors

1. Immanuel Trummer

Incoming Citations (Sorted by Pagerank)

Showing 34 of 34 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,872	ReAcTable: Enhancing ReAct for Table Question Answering	2024	VLDB	0.00010259702
1,956	D-Bot: Database Diagnosis System using Large Language Models	2024	VLDB	9.960627e-05
1,963	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing	2025	VLDB	9.929429e-05
3,114	GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization	2024	VLDB	7.5451724e-05
3,995	How Large Language Models Will Disrupt Data Management	2023	VLDB	6.5513237e-05
4,934	From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management	2022	VLDB	5.8198826e-05
5,023	GenRewrite: Query Rewriting via Large Language Models	2026	SIGMOD	5.75363e-05
5,509	Can Large Language Models Predict Data Correlations from Column Names?	2023	VLDB	5.4703368e-05
6,151	An Efficient Transfer Learning Based Configuration Adviser for Database Tuning	2024	VLDB	5.183652e-05
6,737	Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4	2023	VLDB	4.9457488e-05
7,020	LLM for Data Management	2024	VLDB	4.8595728e-05
7,854	dbET: Execution Time Distribution-based Plan Selection	2023	SIGMOD	4.6350172e-05
8,026	ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning	2023	VLDB	4.6030518e-05
8,186	E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model	2025	VLDB	4.5651684e-05
8,204	ELEET: Efficient Learned Query Execution over Text and Tables	2024	VLDB	4.5594273e-05
8,207	SQLStorm: Taking Database Benchmarking into the LLM Era	2025	VLDB	4.5583637e-05
8,458	Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual	2022	SIGMOD	4.5066722e-05
9,277	DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger	2024	VLDB	4.3640804e-05
9,345	LIMAO: A Framework for Lifelong Modular Learned Query Optimization	2025	VLDB	4.3536343e-05
9,352	Db2une: Tuning Under Pressure via Deep Learning	2024	VLDB	4.3522361e-05
9,917	Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes	2023	VLDB	4.2561557e-05
10,047	AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning	2026	SIGMOD	4.1945683e-05
10,093	MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration	2026	SIGMOD	4.1945683e-05
10,112	SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer	2026	SIGMOD	4.1945683e-05
10,164	ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning	2026	SIGMOD	4.1945683e-05
10,212	SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads	2026	SIGMOD	4.1945683e-05
10,225	LIO: A lightweight and interpretable query optimizer based on an evolutionary forest	2026	VLDB	4.1945683e-05
10,247	Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents	2026	VLDB	4.1945683e-05
10,259	Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink	2026	VLDB	4.1945683e-05
10,301	DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning	2026	VLDB	4.1945683e-05
10,424	Andromeda: Debugging Database Performance Issues with Retrieval-Augmented Large Language Models	2025	SIGMOD	4.1945683e-05
10,668	Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems	2025	VLDB	4.1945683e-05
10,859	Graph Transformers for Query Plan Representation: Potentials and Challenges	2025	VLDB	4.1945683e-05
11,203	SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation	2023	SIGMOD	4.1945683e-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
183	Automatic Database Management System Tuning Through Large-scale Machine Learning	2017	SIGMOD	0.00036721403
333	Neo: A Learned Query Optimizer	2019	VLDB	0.00027206884
359	Self-Driving Database Management Systems	2017	CIDR	0.0002592783
514	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD	0.0002124895
782	QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning	2019	VLDB	0.00016729063
1,611	Qd-tree: Learning Data Layouts for Big Data Analytics	2020	SIGMOD	0.00011147324
1,827	An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems	2021	VLDB	0.00010390548
1,855	AI Meets AI: Leveraging Query Executions to Improve Index Recommendations	2019	SIGMOD	0.00010315245
2,219	SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning	2019	SIGMOD	9.2623533e-05
3,076	Learning a Partitioning Advisor for Cloud Databases	2020	SIGMOD	7.6107677e-05
8,615	The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual"	2021	VLDB	4.484683e-05

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