DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger
Summary: DBG-PT leverages LLMs to analyze textual EXPLAIN outputs and compare regressed vs. previously effective plans across recorded executions to diagnose query performance regressions. Generates tuning‑knob recommendations to mitigate regressions with near‑zero DB integration (MySQL/Postgres, JOB/TPC-H). (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,993 | Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! | 2026 | CIDR | 4.1945683e-05 |
| 10,093 | MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration | 2026 | SIGMOD | 4.1945683e-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 |
|---|---|---|---|---|
| 71 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059038975 |
| 1,407 | DB-BERT: A Database Tuning Tool that "Reads the Manual" | 2022 | SIGMOD | 0.00012146739 |
| 1,855 | AI Meets AI: Leveraging Query Executions to Improve Index Recommendations | 2019 | SIGMOD | 0.00010315245 |
| 3,114 | GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization | 2024 | VLDB | 7.5451724e-05 |
| 4,238 | Panda: Performance Debugging for Databases using LLM Agents | 2024 | CIDR | 6.331901e-05 |
| 4,934 | From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management | 2022 | VLDB | 5.8198826e-05 |
| 5,952 | Eraser: Eliminating Performance Regression on Learned Query Optimizer | 2024 | VLDB | 5.2591691e-05 |
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