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Versatile Optimization of UDF-heavy Data Flows with Sofa

Summary: Introduces Meteor, a declarative data-flow language, and Sofa, a logical optimizer for UDF-heavy analytics in Stratosphere. Uses a compact set of UDF annotations and rewrite rules to realize semantically equivalent plan rewrites, with a subsumption-based operator hierarchy for extensibility and interactive, cost-based optimization with dependency visualization. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4824
Venue
SIGMOD
Year
2014
Pagerank
4.347376e-05
Overall Rank
9,376 | 34.78%
DOI
10.1145/2588555.2594517

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Rank Citing Paper Year Venue Pagerank
9,762 QURE: AI-Assisted and Automatically Verified UDF Inlining 2025 SIGMOD 4.2856106e-05
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