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To UDFs and Beyond: Demonstration of a Fully Decomposed Data Processor for General Data Wrangling Tasks

Summary: Fully decomposed, modular processor for semi-structured data enabling extensions into engine internals (indexes, I/O, aggregations) via plain Python—not just UDFs. Demo shows rapid prototyping to embed ML libraries/pretrained models into query pipelines (e.g., tweet sentiment) for customizable data‑wrangling. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13442
Venue
VLDB
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,487 | 21.19%
DOI
10.14778/3611540.3611610

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Authors

BibTeX Citation

@article{schafer_vldb23,
        title = {{To UDFs and Beyond: Demonstration of a Fully Decomposed Data Processor for General Data Wrangling Tasks}},
        author = {Schäfer, Nico and Gjurovski, Damjan and Davitkova, Angjela and Michel, Sebastian},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {4018--4021},
        doi = {10.14778/3611540.3611610},
        url = {https://doi.org/10.14778/3611540.3611610},
        year = {2023}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Rank Cited Paper Year Venue Pagerank
106 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033539462
1,264 SQL/MapReduce: A practical approach to self-describing, polymorphic, and parallelizable user-defined functions 2009 VLDB 0.00011416393
1,442 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.00010778486
1,756 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.8172465e-05
1,768 Tuplex: Data Science in Python at Native Code Speed 2021 SIGMOD 9.8041636e-05
1,892 Procedural Extensions of SQL: Understanding their usage in the wild 2021 VLDB 9.5277793e-05
2,684 Compiling PL/SQL Away 2020 CIDR 8.25952e-05
3,257 One WITH RECURSIVE is Worth Many GOTOs 2021 SIGMOD 7.590651e-05
4,273 User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases 2022 VLDB 6.7909197e-05
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