A Query-Aware Enormous Database Generator For System Performance Evaluation
Summary: Mirage is a query-aware benchmarking generator that reproduces workloads from queries, even with complex operators, with theoretical zero error. It decouples implicit dependencies via Query Rewriting and Set Transforming Rules, uses a uniform join representation, and frames population as a CP problem solvable by standard solvers, enabling broad operator coverage. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Xuhua Huang (East China Normal University)
- 2. Zirui Hu (East China Normal University)
- 3. Siyang Weng (East China Normal University)
- 4. Rong Zhang (East China Normal University)
- 5. Chengcheng Yang (East China Normal University)
- 6. Xuan Zhou (East China Normal University)
- 7. Weining Qian (East China Normal University)
- 8. Chuanhui Yang (Ant Financial)
- 9. Quanqing Xu (Ant Financial)
BibTeX Citation
@inproceedings{huang_sigmod25,
title = {{A Query-Aware Enormous Database Generator For System Performance Evaluation}},
author = {Huang, Xuhua and Hu, Zirui and Weng, Siyang and Zhang, Rong and Yang, Chengcheng and Zhou, Xuan and Qian, Weining and Yang, Chuanhui and Xu, Quanqing},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725076},
url = {https://dl.acm.org/doi/10.1145/3722212.3725076},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,539 | Pisco: An Isolation Bug Case Reduction and Deduplication Framework | 2026 | VLDB | 5.093636e-05 |
| 10,591 | Vodka: Rethink Benchmarking Philosophy in HTAP Systems | 2026 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,369 | Data Generation using Declarative Constraints | 2011 | SIGMOD | 8.682429e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,815 | Supporting Database Constraints in Synthetic Data Generation based on Generative Adversarial Networks | 2020 | SIGMOD |
| 2 | 5,105 | SAM: Database Generation from Query Workloads with Supervised Autoregressive Models | 2022 | SIGMOD |
| 3 | 2,069 | Generating Targeted Queries for Database Testing | 2008 | SIGMOD |
| 4 | 9,985 | Projection-Compliant Database Generation | 2022 | VLDB |
| 5 | 938 | Flexible Database Generators | 2005 | VLDB |
| 6 | 105 | Quickly Generating Billion-Record Synthetic Databases | 1994 | SIGMOD |
| 7 | 3,994 | Generating Databases for Query Workloads | 2010 | VLDB |
| 8 | 2,690 | Generating Thousand Benchmark Queries in Seconds | 2004 | VLDB |
| 9 | 2,369 | Data Generation using Declarative Constraints | 2011 | SIGMOD |
| 10 | 734 | QAGen: Generating Query-Aware Test Databases | 2007 | SIGMOD |