Proactive Re-optimization with Rio
Summary: Rio uses uncertainty intervals around statistics in plan enumeration and costing to pick robust plans or defer decisions. It collects intermediate-subexpression statistics during execution for rapid re-optimization; prototype built on Predator demonstrates viability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shivnath Babu (Stanford University)
- 2. Pedro Bizarro (University of Wisconsin)
- 3. David DeWitt (University of Wisconsin)
BibTeX Citation
@inproceedings{babu_sigmod05,
title = {{Proactive Re-optimization with Rio}},
author = {Babu, Shivnath and Bizarro, Pedro and DeWitt, David},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066294},
url = {https://dl.acm.org/doi/10.1145/1066157.1066294},
year = {2005}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,506 | Identifying Robust Plans through Plan Diagram Reduction | 2008 | VLDB | 7.3581509e-05 |
| 5,983 | Adaptive and Robust Query Execution for Lakehouses at Scale | 2024 | VLDB | 6.0206841e-05 |
| 7,223 | Dynamic Plan Generation for Parameterized Queries | 2009 | SIGMOD | 5.6676987e-05 |
| 8,163 | Learned Offline Query Planning via Bayesian Optimization | 2025 | SIGMOD | 5.4751517e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 151 | Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans | 1998 | SIGMOD | 0.00029161879 |
| 492 | Robust Query Processing through Progressive Optimization | 2004 | SIGMOD | 0.0001756877 |
| 829 | Proactive Re-Optimization | 2005 | SIGMOD | 0.00013769838 |
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