Predicate Migration: Optimizing Queries with Expensive Predicates
Summary: Predicate Migration builds a theory to move expensive predicates in plans, replacing zero-time restrictions with cost-aware optimization. Algorithm and PostgreSQL show orders-of-magnitude speedups over traditional optimizers, with modest extra cost. (summarized by gpt-5-nano on Feb 09 2026)
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Showing 19 of 69 citing papers.
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,407 | Filtering with Approximate Predicates | 1998 | VLDB | 6.2133426e-05 |
| 329 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00027249545 |
| 6,561 | On the Stability of Plan Costs and the Costs of Plan Stability | 2010 | VLDB | 5.0099895e-05 |
| 9,662 | Efficient Query Re-optimization with Judicious Subquery Selections | 2023 | SIGMOD | 4.3097631e-05 |
| 1,772 | Optimizing Disjunctive Queries with Expensive Predicates | 1994 | SIGMOD | 0.0001061019 |
| 6,374 | Optimization of Conjunctive Predicates for Main Memory Column Stores | 2016 | VLDB | 5.0927058e-05 |
| 8,867 | Optimization of Multi-Version Expensive Predicates | 2007 | SIGMOD | 4.4322592e-05 |
| 1,302 | Query Optimization by Predicate Move-Around | 1994 | VLDB | 0.00012705525 |
| 2,086 | Practical Predicate Placement | 1994 | SIGMOD | 9.5779956e-05 |
| 2,860 | Optimization of Queries with User-defined Predicates | 1996 | VLDB | 7.9934503e-05 |