Plan-Per-Tuple Optimization Solution - Parallel Execution of Expensive User-Defined Functions
Summary: Plan-per-tuple optimization enables per-tuple execution plans for expensive/high-variance UDF predicates on multimedia objects in shared-nothing DBs. Runtime per-tuple selection among N! resource strategies (interconnect, memory, CPU, disk) enables adaptive plans for non co-located joins. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1 | Access Path Selection in a Relational Database Management System | 1979 | SIGMOD | 0.0040465394 |
| 107 | Extensible/Rule Based Query Rewrite Optimization in Starburst | 1992 | SIGMOD | 0.00048363446 |
| 140 | Predicate Migration: Optimizing Queries with Expensive Predicates | 1993 | SIGMOD | 0.00042289025 |
| 195 | Optimizing Queries over Multimedia Repositories | 1996 | SIGMOD | 0.00035317524 |
| 342 | Optimization of Dynamic Query Evaluation Plans | 1994 | SIGMOD | 0.00026836424 |
| 592 | A Rule-Based View of Query Optimization | 1987 | SIGMOD | 0.0001953183 |
| 2,702 | NCR 3700 - The Next-Generation Industrial Database Computer | 1993 | VLDB | 8.2685655e-05 |
| 2,867 | Optimization of Queries with User-defined Predicates | 1996 | VLDB | 7.9931252e-05 |
| 3,407 | EROC: A Toolkit for Building NEATO Query Optimizers | 1996 | VLDB | 7.1253175e-05 |
| 3,732 | Prospector: A Content-Based Multimedia Server for Massively Parallel Architectures | 1996 | SIGMOD | 6.8070867e-05 |
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