No Silver Bullet: Boosting GaussDB Performance on the 30TB TPC-H Workload
Summary: GaussDB achieves a 40% improvement over the best published 30TB TPC-H result through coordinated systems engineering rather than a single breakthrough. Key techniques include pipelined execution, scalable shuffle, unified bus/remote memory access, and distributed Bloom-filter streaming. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Tim Zeyl (Huawei)
- 2. Jason Lam (Huawei)
- 3. Shu Lin (Huawei)
- 4. Reza Pournaghi (Huawei)
- 5. Qi Cheng (Huawei)
- 6. Calvin Wong (Huawei)
- 7. Kaixiang Du (Huawei)
- 8. Yuliang He (Huawei)
- 9. Yang Sun (Huawei)
- 10. Weicheng Wang (Huawei)
- 11. Paul Lee (Huawei)
- 12. Chen Ruo (Huawei)
- 13. Yang Xinyi (Huawei)
- 14. Li Qunan (Huawei)
- 15. Wang Junjie (Huawei)
- 16. Hu Dongxing (Huawei)
- 17. Chong Chen (Huawei)
- 18. Per-Åke Larson (Huawei)
BibTeX Citation
@article{zeyl_vldb26,
title = {{No Silver Bullet: Boosting GaussDB Performance on the 30TB TPC-H Workload}},
author = {Zeyl, Tim and Lam, Jason and Lin, Shu and Pournaghi, Reza and Cheng, Qi and Wong, Calvin and Du, Kaixiang and He, Yuliang and Sun, Yang and Wang, Weicheng and Lee, Paul and Ruo, Chen and Xinyi, Yang and Qunan, Li and Junjie, Wang and Dongxing, Hu and Chen, Chong and Larson, Per-Åke},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4036--4048},
doi = {10.14778/3827998.3828014},
url = {https://doi.org/10.14778/3827998.3828014},
year = {2026}
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