DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger
Summary: DBG-PT uses LLMs to detect query-performance regressions, compare current and historical EXPLAIN plans, and recommend tuning knobs. Its distinctive text-only design integrates with any EXPLAIN-supporting DBMS with near-zero implementation effort. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Victor Giannakouris (Cornell University)
- 2. Immanuel Trummer (Cornell University)
BibTeX Citation
@article{giannakouris_vldb24,
title = {{DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger}},
author = {Giannakouris, Victor and Trummer, Immanuel},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4337--4340},
doi = {10.14778/3685800.3685869},
url = {https://doi.org/10.14778/3685800.3685869},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,359 | Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! | 2026 | CIDR | 4.9793485e-05 |
| 10,580 | MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration | 2026 | SIGMOD | 4.9793485e-05 |
| 10,918 | Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server | 2026 | VLDB | 4.9793485e-05 |
| 10,971 | Verified LLM-Based Query Rewriting for Microsoft SQL Server | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 15 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00061066921 |
| 1,250 | DB-BERT: A Database Tuning Tool that "Reads the Manual" | 2022 | SIGMOD | 0.00011339256 |
| 1,279 | AI Meets AI: Leveraging Query Executions to Improve Index Recommendations | 2019 | SIGMOD | 0.00011226878 |
| 2,231 | GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization | 2024 | VLDB | 8.7982985e-05 |
| 3,169 | Panda: Performance Debugging for Databases using LLM Agents | 2024 | CIDR | 7.5696238e-05 |
| 4,442 | From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management | 2022 | VLDB | 6.5988336e-05 |
| 5,456 | Eraser: Eliminating Performance Regression on Learned Query Optimizer | 2024 | VLDB | 6.1239873e-05 |
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