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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
h146dcc7a654d0651
Venue
VLDB
Year
2024
Pagerank
8.7982985e-05
Overall Rank
2,231 | 85.01%
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
1,683 ReAcTable: Enhancing ReAct for Table Question Answering 2024 VLDB 9.8822754e-05
3,466 In-depth Analysis of Graph-based RAG in a Unified Framework 2025 VLDB 7.2783993e-05
4,114 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.7971182e-05
4,132 SQLStorm: Taking Database Benchmarking into the LLM Era 2025 VLDB 6.7885553e-05
4,229 Cracking SQL Barriers: An LLM-based Dialect Translation System 2025 SIGMOD 6.7165534e-05
4,385 R-Bot: An LLM-based Query Rewrite System 2025 VLDB 6.6235293e-05
6,586 Can Large Language Models Be Query Optimizer for Relational Databases? 2026 SIGMOD 5.7430662e-05
7,070 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.6080535e-05
7,095 DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud 2024 VLDB 5.601767e-05
7,764 DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger 2024 VLDB 5.4564979e-05
8,036 Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads 2025 SIGMOD 5.4025086e-05
8,332 Learned Offline Query Planning via Bayesian Optimization 2025 SIGMOD 5.3528188e-05
8,887 mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs 2025 VLDB 5.2559789e-05
9,431 MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud 2024 VLDB 5.1783663e-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
9,904 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
10,333 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.0281656e-05
10,432 DBugScribe: Automatic Database Bug Reproduction from Community Reports 2026 SIGMOD 4.9793485e-05
10,466 HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search 2026 SIGMOD 4.9793485e-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
11,046 DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning 2026 VLDB 4.9793485e-05
11,189 Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization 2025 SIGMOD 4.9793485e-05
11,282 LobRA: Multi-tenant Fine-tuning over Heterogeneous Data 2025 VLDB 4.9793485e-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
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036684414
224 Self-Driving Database Management Systems 2017 CIDR 0.00024013745
235 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00023697028
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021282642
322 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021041865
329 Can Foundation Models Wrangle Your Data? 2023 VLDB 0.00020858443
437 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00018315867
579 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00016086569
624 Data Lake Management: Challenges and Opportunities 2019 VLDB 0.00015479826
1,250 DB-BERT: A Database Tuning Tool that "Reads the Manual" 2022 SIGMOD 0.00011339256
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
1,659 SQL Memory Management in Oracle9i 2002 VLDB 9.9624689e-05
1,683 ReAcTable: Enhancing ReAct for Table Question Answering 2024 VLDB 9.8822754e-05
1,699 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 9.8445322e-05
2,720 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD 8.0966919e-05
2,772 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 8.035288e-05
3,051 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB 7.7055931e-05
3,158 CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions 2021 VLDB 7.5811757e-05
3,486 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2636102e-05
3,590 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 7.1865343e-05
3,645 UDO: Universal Database Optimization using Reinforcement Learning 2021 VLDB 7.1397796e-05
4,079 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.818264e-05
4,468 Real-time Workload Pattern Analysis for Large-scale Cloud Databases 2023 VLDB 6.5863349e-05
4,707 PreQR: Pre-training Representation for SQL Understanding 2022 SIGMOD 6.4587914e-05
6,071 Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4 2023 VLDB 5.8962612e-05
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