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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
4886
Venue
SIGMOD
Year
2014
Pagerank
5.2581466e-05
Overall Rank
9,509 | 34.77%
DOI
10.1145/2588555.2594517

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{rheinlander_sigmod14,
        title = {{Versatile Optimization of UDF-heavy Data Flows with Sofa}},
        author = {Rheinländer, Astrid and Beckmann, Martin and Kunkel, Anja and Heise, Arvid and Stoltmann, Thomas and Leser, Ulf},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2594517},
        url = {https://dl.acm.org/doi/10.1145/2588555.2594517},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
9,456 QURE: AI-Assisted and Automatically Verified UDF Inlining 2025 SIGMOD 5.2643416e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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