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DB-BERT: A Database Tuning Tool that "Reads the Manual"
Summary: DB-BERT uses BERT-based NLP to read tuning manuals, turning natural-language hints into parameter recommendations. RL-driven training and run-time learning aggregate hints to optimize Postgres/MySQL across TPC-C/TPC-H; code released.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
hb83c116060d8fb31
Venue
SIGMOD
Year
2022
Pagerank
0.00011375179
Overall Rank
1,238 | 91.71%
DOI
10.1145/3514221.3517843
Incoming Non-self Citations Over Time
BibTeX Citation
@inproceedings{trummer_sigmod22,
title = {{DB-BERT: A Database Tuning Tool that "Reads the Manual"}},
author = {Trummer, Immanuel},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517843},
url = {https://dl.acm.org/doi/10.1145/3514221.3517843},
year = {2022}
}
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