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Automatic Database Configuration Debugging using Retrieval-Augmented Language Models
Summary: Andromeda uses retrieval-augmented LLMs to diagnose DBMS misconfigurations and propose fixes. A RAG pipeline sources domain-specific context from historical questions, manuals, and telemetry via a heterogeneous retriever and telemetry analysis, beating baselines on real data.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7013
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 5.0037892e-05
- Overall Rank
- 6,564 | 54.39%
- DOI
-
10.1145/3709663
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 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 |
| 423 |
Tuning Database Configuration Parameters with iTuned |
2009 |
VLDB |
0.00023628474 |
| 510 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.00021420477 |
| 760 |
Automatic Performance Diagnosis and Tuning in Oracle |
2005 |
CIDR |
0.00017003914 |
| 779 |
QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning |
2019 |
VLDB |
0.00016719473 |
| 1,024 |
DBSherlock: A Performance Diagnostic Tool for Transactional Databases |
2016 |
SIGMOD |
0.00014601525 |
| 1,953 |
D-Bot: Database Diagnosis System using Large Language Models |
2024 |
VLDB |
9.9701097e-05 |
| 2,140 |
Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases |
2020 |
VLDB |
9.4565836e-05 |
| 3,105 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
7.5567226e-05 |
| 3,655 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
6.8723042e-05 |
| 3,995 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
6.5475871e-05 |
| 4,211 |
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration |
2023 |
SIGMOD |
6.3495931e-05 |
| 4,234 |
Panda: Performance Debugging for Databases using LLM Agents |
2024 |
CIDR |
6.3300159e-05 |
| 8,279 |
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting |
2023 |
VLDB |
4.5392079e-05 |
| 8,828 |
HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation |
2023 |
SIGMOD |
4.4364918e-05 |
| 9,381 |
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations |
2024 |
SIGMOD |
4.343902e-05 |
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| 1,953 |
D-Bot: Database Diagnosis System using Large Language Models |
2024 |
VLDB |
9.9701097e-05 |
| 4,234 |
Panda: Performance Debugging for Databases using LLM Agents |
2024 |
CIDR |
6.3300159e-05 |
| 10,434 |
Andromeda: Debugging Database Performance Issues with Retrieval-Augmented Large Language Models |
2025 |
SIGMOD |
4.1905499e-05 |