Detecting Metadata-Related Logic Bugs in Database Systems via Raw Database Construction
Summary: Introduce Radar: construct a “raw” DB by stripping metadata while preserving data and compare query results between original and raw to expose metadata-related logic bugs from incorrect metadata-driven optimizations. Adds metadata-oriented testing to prioritize unseen metadata patterns; evaluated on five DBMSs, found 42 bugs (38 new, 16 fixed). (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiansen Song (Institute of Software, Chinese Academy of Sciences)
- 2. Wensheng Dou (Institute of Software, Chinese Academy of Sciences)
- 3. Yu Gao (Institute of Software, Chinese Academy of Sciences)
- 4. Ziyu Cui (Institute of Software, Chinese Academy of Sciences)
- 5. Yingying Zheng (Institute of Software, Chinese Academy of Sciences)
- 6. Dong Wang (Institute of Software, Chinese Academy of Sciences)
- 7. Wei Wang (Institute of Software, Chinese Academy of Sciences)
- 8. Jun Wei (Institute of Software, Chinese Academy of Sciences)
- 9. Tao Huang (Institute of Software, Chinese Academy of Sciences)
BibTeX Citation
@article{song_vldb24,
title = {{Detecting Metadata-Related Logic Bugs in Database Systems via Raw Database Construction}},
author = {Song, Jiansen and Dou, Wensheng and Gao, Yu and Cui, Ziyu and Zheng, Yingying and Wang, Dong and Wang, Wei and Wei, Jun and Huang, Tao},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {8},
pages = {1884--1897},
doi = {10.14778/3659437.3659445},
url = {https://doi.org/10.14778/3659437.3659445},
year = {2024}
}
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