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)
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Authors
- 1. Xuhua Huang
- 2. Zirui Hu
- 3. Siyang Weng
- 4. Rong Zhang
- 5. Chengcheng Yang
- 6. Xuan Zhou
- 7. Weining Qian
- 8. Chuanhui Yang
- 9. Quanqing Xu
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,251 | Pisco: An Isolation Bug Case Reduction and Deduplication Framework | 2026 | VLDB | 4.1905499e-05 |
| 10,305 | Vodka: Rethink Benchmarking Philosophy in HTAP Systems | 2026 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,295 | Data Generation using Declarative Constraints | 2011 | SIGMOD | 9.0842571e-05 |
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