A Pay-As-You-Go Framework for Query Execution Feedback
Summary: Pay-as-you-go framework adds a small per-execution overhead to collect cardinality information unavailable to passive monitoring. It delivers significantly better plan quality than passive feedback and expands the reach of execution-feedback techniques, demonstrated in SQL Server on real and synthetic workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,254 | Selectivity Estimation for Range Predicates using Lightweight Models | 2019 | VLDB | 0.00013027411 |
| 1,758 | Sampling-Based Query Re-Optimization | 2016 | SIGMOD | 0.00010655546 |
| 1,855 | AI Meets AI: Leveraging Query Executions to Improve Index Recommendations | 2019 | SIGMOD | 0.00010315245 |
| 2,083 | Towards a Learning Optimizer for Shared Clouds | 2019 | VLDB | 9.5834572e-05 |
| 2,631 | Plan Bouquets: Query Processing without Selectivity Estimation | 2014 | SIGMOD | 8.4101843e-05 |
| 3,408 | Query Optimizers: Time to Rethink the Contract? | 2009 | SIGMOD | 7.1288167e-05 |
| 3,954 | Efficiently Approximating Selectivity Functions using Low Overhead Regression Models | 2020 | VLDB | 6.5926838e-05 |
| 4,436 | Xplus: A SQL-Tuning-Aware Query Optimizer | 2010 | VLDB | 6.1909336e-05 |
| 7,776 | Plan Stitch: Harnessing the Best of Many Plans | 2018 | VLDB | 4.6537231e-05 |
| 12,291 | Visualizing the robustness of query execution | 2009 | CIDR | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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