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: 6296
Venue: SIGMOD
Year: 2022
Pagerank: 0.00012179714
Overall Rank: 1,404 | 90.25%
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
1,839	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing	2025	VLDB	0.00010351287
1,866	ReAcTable: Enhancing ReAct for Table Question Answering	2024	VLDB	0.00010265592
1,953	D-Bot: Database Diagnosis System using Large Language Models	2024	VLDB	9.9701097e-05
3,105	GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization	2024	VLDB	7.5567226e-05
3,982	How Large Language Models Will Disrupt Data Management	2023	VLDB	6.5595332e-05
4,916	From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management	2022	VLDB	5.827729e-05
5,001	GenRewrite: Query Rewriting via Large Language Models	2026	SIGMOD	5.7634197e-05
5,506	Can Large Language Models Predict Data Correlations from Column Names?	2023	VLDB	5.4711611e-05
5,834	An Efficient Transfer Learning Based Configuration Adviser for Database Tuning	2024	VLDB	5.3082111e-05
6,712	Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4	2023	VLDB	4.9474017e-05
7,016	LLM for Data Management	2024	VLDB	4.8561622e-05
7,369	ELEET: Efficient Learned Query Execution over Text and Tables	2024	VLDB	4.7452331e-05
7,676	E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model	2025	VLDB	4.6770108e-05
7,854	dbET: Execution Time Distribution-based Plan Selection	2023	SIGMOD	4.6306186e-05
7,887	SQLStorm: Taking Database Benchmarking into the LLM Era	2025	VLDB	4.6218382e-05
8,027	ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning	2023	VLDB	4.5986382e-05
8,452	Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual	2022	SIGMOD	4.5023516e-05
9,282	DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger	2024	VLDB	4.3598981e-05
9,350	LIMAO: A Framework for Lifelong Modular Learned Query Optimization	2025	VLDB	4.3494621e-05
9,358	Db2une: Tuning Under Pressure via Deep Learning	2024	VLDB	4.3480651e-05
9,916	Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes	2023	VLDB	4.2520778e-05
10,047	AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning	2026	SIGMOD	4.1905499e-05
10,093	MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration	2026	SIGMOD	4.1905499e-05
10,112	SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer	2026	SIGMOD	4.1905499e-05
10,164	ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning	2026	SIGMOD	4.1905499e-05
10,212	SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads	2026	SIGMOD	4.1905499e-05
10,225	LIO: A lightweight and interpretable query optimizer based on an evolutionary forest	2026	VLDB	4.1905499e-05
10,247	Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents	2026	VLDB	4.1905499e-05
10,259	Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink	2026	VLDB	4.1905499e-05
10,313	DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning	2026	VLDB	4.1905499e-05
10,434	Andromeda: Debugging Database Performance Issues with Retrieval-Augmented Large Language Models	2025	SIGMOD	4.1905499e-05
10,676	Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems	2025	VLDB	4.1905499e-05
10,863	Graph Transformers for Query Plan Representation: Potentials and Challenges	2025	VLDB	4.1905499e-05
11,205	SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation	2023	SIGMOD	4.1905499e-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	0.00036859633
329	Neo: A Learned Query Optimizer	2019	VLDB	0.00027301488
371	Self-Driving Database Management Systems	2017	CIDR	0.00025382677
510	An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning	2019	SIGMOD	0.00021420477
779	QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning	2019	VLDB	0.00016719473
1,608	Qd-tree: Learning Data Layouts for Big Data Analytics	2020	SIGMOD	0.00011169837
1,816	An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems	2021	VLDB	0.00010438512
1,856	AI Meets AI: Leveraging Query Executions to Improve Index Recommendations	2019	SIGMOD	0.00010319105
2,222	SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning	2019	SIGMOD	9.2598438e-05
3,066	Learning a Partitioning Advisor for Cloud Databases	2020	SIGMOD	7.6255556e-05
8,612	The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual"	2021	VLDB	4.4807455e-05

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9,282	DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger	2024	VLDB	4.3598981e-05
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