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 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,212 | YeSQL: "You extend SQL" with Rich and Highly Performant User-Defined Functions in Relational Databases | 2022 | VLDB | 5.8480745e-05 |
| 6,415 | Containerized Execution of UDFs: An Experimental Evaluation | 2022 | VLDB | 5.7926473e-05 |
| 6,742 | Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine | 2025 | SIGMOD | 5.6910432e-05 |
| 7,983 | Efficient Execution of User-Defined Functions in SQL Queries | 2023 | VLDB | 5.4131297e-05 |
| 9,588 | The Key to Effective UDF Optimization: Before Inlining, First Perform Outlining | 2025 | VLDB | 5.156809e-05 |
| 9,694 | The UDFBench Benchmark for General-purpose UDF Queries | 2025 | VLDB | 5.1396592e-05 |
| 10,932 | IMLane: Composable Framework for Efficient AI Function Execution in Database Engine | 2026 | VLDB | 4.9793485e-05 |
| 11,133 | Scalable Execution of Application Logic within Everest BusinessStore | 2025 | SIGMOD | 4.9793485e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 1,786 | Procedural Extensions of SQL: Understanding their usage in the wild | 2021 | VLDB | 9.6326265e-05 |
| 1,803 | Tuplex: Data Science in Python at Native Code Speed | 2021 | SIGMOD | 9.6068397e-05 |
| 2,705 | Compiling PL/SQL Away | 2020 | CIDR | 8.1111408e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,415 | Containerized Execution of UDFs: An Experimental Evaluation | 2022 | VLDB |
| 2 | 10,193 | Towards Unifying Query Interpretation and Compilation | 2023 | CIDR |
| 3 | 605 | Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask | 2018 | VLDB |
| 4 | 6,400 | Functional-Style SQL UDFs With a Capital 'F' | 2020 | SIGMOD |
| 5 | 10,046 | YeSQL: Rich User-Defined Functions without the Overhead | 2022 | VLDB |
| 6 | 1,444 | An Architecture for Compiling UDF-centric Workflows | 2015 | VLDB |
| 7 | 6,212 | YeSQL: "You extend SQL" with Rich and Highly Performant User-Defined Functions in Relational Databases | 2022 | VLDB |
| 8 | 9,694 | The UDFBench Benchmark for General-purpose UDF Queries | 2025 | VLDB |
| 9 | 11,168 | UDFBench: A Tool for Benchmarking UDF Queries on SQL Engines | 2025 | SIGMOD |
| 10 | 7,983 | Efficient Execution of User-Defined Functions in SQL Queries | 2023 | VLDB |