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GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization

Summary: GPTuner uses LLMs to ingest DBMS manuals/forums and extract structured domain knowledge to drive workload-aware knob selection and value-range pruning. A prompt-ensemble plus coarse-to-fine Bayesian optimization finds configs 16× faster and up to 30% better (TPC-C/TPC-H on Postgres/MySQL). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13617
Venue
VLDB
Year
2024
Pagerank
8.7886538e-05
Overall Rank
2,298 | 84.24%
DOI
10.14778/3659437.3659449

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lao_vldb24,
        title = {{GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization}},
        author = {Lao, Jiale and Wang, Yibo and Li, Yufei and Wang, Jianping and Zhang, Yunjia and Cheng, Zhiyuan and Chen, Wanghu and Tang, Mingjie and Wang, Jianguo},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {8},
        pages = {1939--1952},
        doi = {10.14778/3659437.3659449},
        url = {https://doi.org/10.14778/3659437.3659449},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 29 of 29 citing papers.

Rank Citing Paper Year Venue Pagerank
1,981 ReAcTable: Enhancing ReAct for Table Question Answering 2024 VLDB 9.3579557e-05
5,744 SQLStorm: Taking Database Benchmarking into the LLM Era 2025 VLDB 6.1019672e-05
5,856 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.0644656e-05
6,254 In-depth Analysis of Graph-based RAG in a Unified Framework 2025 VLDB 5.9405174e-05
6,259 R-Bot: An LLM-based Query Rewrite System 2025 VLDB 5.93967e-05
6,954 DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud 2024 VLDB 5.7303405e-05
6,997 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.7300324e-05
7,809 Can Large Language Models Be Query Optimizer for Relational Databases? 2026 SIGMOD 5.5399022e-05
8,163 Learned Offline Query Planning via Bayesian Optimization 2025 SIGMOD 5.4751517e-05
8,423 Cracking SQL Barriers: An LLM-based Dialect Translation System 2025 SIGMOD 5.4275169e-05
8,725 mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs 2025 VLDB 5.3766157e-05
9,024 Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads 2025 SIGMOD 5.3299884e-05
9,257 MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud 2024 VLDB 5.2972217e-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
10,105 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.1435736e-05
10,216 DBugScribe: Automatic Database Bug Reproduction from Community Reports 2026 SIGMOD 5.093636e-05
10,253 HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search 2026 SIGMOD 5.093636e-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
10,599 DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning 2026 VLDB 5.093636e-05
10,769 Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization 2025 SIGMOD 5.093636e-05
10,880 LobRA: Multi-tenant Fine-tuning over Heterogeneous Data 2025 VLDB 5.093636e-05
11,083 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 26 of 26 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
226 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00024027277
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
347 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00020651582
420 Can Foundation Models Wrangle Your Data? 2023 VLDB 0.00018789852
498 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00017440583
579 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00016217563
749 Data Lake Management: Challenges and Opportunities 2019 VLDB 0.00014379989
1,337 DB-BERT: A Database Tuning Tool that "Reads the Manual" 2022 SIGMOD 0.00011117488
1,344 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011094717
1,686 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010008686
1,706 SQL Memory Management in Oracle9i 2002 VLDB 9.9628446e-05
1,712 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 9.9492299e-05
1,981 ReAcTable: Enhancing ReAct for Table Question Answering 2024 VLDB 9.3579557e-05
2,740 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 8.1855759e-05
3,116 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD 7.7390737e-05
3,343 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB 7.4983591e-05
3,346 CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions 2021 VLDB 7.4967834e-05
3,586 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 7.2834069e-05
3,587 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2829345e-05
3,926 UDO: Universal Database Optimization using Reinforcement Learning 2021 VLDB 7.0128068e-05
4,011 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.959982e-05
4,398 Real-time Workload Pattern Analysis for Large-scale Cloud Databases 2023 VLDB 6.7248611e-05
4,671 PreQR: Pre-training Representation for SQL Understanding 2022 SIGMOD 6.5732787e-05
6,378 Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4 2023 VLDB 5.8929835e-05
Previous Page 1 / 1 Next

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# Overall Rank Paper Year Venue
1 8,127 The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” 2021 VLDB
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