D-Bot: Database Diagnosis System using Large Language Models
Summary: D-Bot: LLM-driven DB diagnosis that ingests docs, auto-prompts and retrieves tools, and uses tree-search plus collaboration to pinpoint root causes. Tested on 539 anomalies from six apps; finds unseen root causes in minutes and beats heuristics and GPT-4. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xuanhe Zhou (Tsinghua University)
- 2. Guoliang Li (Tsinghua University)
- 3. Zhaoyan Sun (Tsinghua University)
- 4. Zhiyuan Liu (Tsinghua University)
- 5. Weize Chen (Tsinghua University)
- 6. Jianming Wu (Tsinghua University)
- 7. Jiesi Liu (Tsinghua University)
- 8. Ruohang Feng (Pigsty)
- 9. Guoyang Zeng (ModelBest)
BibTeX Citation
@article{zhou_vldb24,
title = {{D-Bot: Database Diagnosis System using Large Language Models}},
author = {Zhou, Xuanhe and Li, Guoliang and Sun, Zhaoyan and Liu, Zhiyuan and Chen, Weize and Wu, Jianming and Liu, Jiesi and Feng, Ruohang and Zeng, Guoyang},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {10},
pages = {2514--2527},
doi = {10.14778/3675034.3675043},
url = {https://doi.org/10.14778/3675034.3675043},
year = {2024}
}
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