Accelerating Python UDFs in Vectorized Query Execution
Summary: Accelerates embedded Python UDFs in vectorized analytical engines by combining vectorization, compilation (JIT/AOT), dynamic loading, and parallel execution to enable transparent in-process execution. Compares compilation frameworks and shows that compilation+parallelism yields large speedups and scalability. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Steffen Kläbe (Actian; Technical University of Ilmenau)
- 2. Bobby DeSantis (Actian)
- 3. Stefan Hagedorn (Technical University of Ilmenau)
- 4. Kai-Uwe Sattler (Technical University of Ilmenau)
BibTeX Citation
@inproceedings{klabe_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{Accelerating Python UDFs in Vectorized Query Execution}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Kläbe, Steffen and DeSantis, Bobby and Hagedorn, Stefan and Sattler, Kai-Uwe},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,314 | YeSQL: "You extend SQL" with Rich and Highly Performant User-Defined Functions in Relational Databases | 2022 | VLDB | 5.9157364e-05 |
| 6,553 | Containerized Execution of UDFs: An Experimental Evaluation | 2022 | VLDB | 5.8417517e-05 |
| 6,614 | Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine | 2025 | SIGMOD | 5.8216658e-05 |
| 8,096 | Efficient Execution of User-Defined Functions in SQL Queries | 2023 | VLDB | 5.4875738e-05 |
| 9,415 | The Key to Effective UDF Optimization: Before Inlining, First Perform Outlining | 2025 | VLDB | 5.2742285e-05 |
| 9,917 | The UDFBench Benchmark for General-purpose UDF Queries | 2025 | VLDB | 5.1955087e-05 |
| 10,699 | Scalable Execution of Application Logic within Everest BusinessStore | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 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 |
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