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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)

Paper ID
3725
Venue
SIGMOD
Year
2005
Pagerank
5.0828986e-05
Overall Rank
6,384 | 55.64%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
4,342 Identifying Robust Plans through Plan Diagram Reduction 2008 VLDB 6.2680535e-05
6,683 Adaptive and Robust Query Execution for Lakehouses at Scale 2024 VLDB 4.9593505e-05
8,184 Dynamic Plan Generation for Parameterized Queries 2009 SIGMOD 4.5615174e-05
8,660 Learned Offline Query Planning via Bayesian Optimization 2025 SIGMOD 4.4680058e-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
221 Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans 1998 SIGMOD 0.00033182072
650 Robust Query Processing through Progressive Optimization 2004 SIGMOD 0.0001865144
1,268 Proactive Re-Optimization 2005 SIGMOD 0.00012914584
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