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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
3724
Venue
SIGMOD
Year
2005
Pagerank
5.0842083e-05
Overall Rank
6,390 | 55.55%
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
4,348 Identifying Robust Plans through Plan Diagram Reduction 2008 VLDB 6.2660237e-05
7,059 Adaptive and Robust Query Execution for Lakehouses at Scale 2024 VLDB 4.8477825e-05
8,184 Dynamic Plan Generation for Parameterized Queries 2009 SIGMOD 4.5654336e-05
8,659 Learned Offline Query Planning via Bayesian Optimization 2025 SIGMOD 4.4722928e-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
220 Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans 1998 SIGMOD 0.00033194808
650 Robust Query Processing through Progressive Optimization 2004 SIGMOD 0.00018659177
1,272 Proactive Re-Optimization 2005 SIGMOD 0.00012920076
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