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
- 2. Bobby DeSantis
- 3. Stefan Hagedorn
- 4. Kai-Uwe Sattler
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,486 | Containerized Execution of UDFs: An Experimental Evaluation | 2022 | VLDB | 5.481452e-05 |
| 6,377 | Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine | 2025 | SIGMOD | 5.0860948e-05 |
| 6,703 | YeSQL: “You extend SQL” with Rich and Highly Performant User-Defined Functions in Relational Databases | 2022 | VLDB | 4.9514593e-05 |
| 8,580 | Efficient Execution of User-Defined Functions in SQL Queries | 2023 | VLDB | 4.4876382e-05 |
| 9,348 | The Key to Effective UDF Optimization: Before Inlining, First Perform Outlining | 2025 | VLDB | 4.3504473e-05 |
| 9,765 | The UDFBench Benchmark for General-purpose UDF Queries | 2025 | VLDB | 4.2815042e-05 |
| 10,426 | Scalable Execution of Application Logic within Everest BusinessStore | 2025 | SIGMOD | 4.1905499e-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 |
|---|---|---|---|---|
| 1,884 | Tuplex: Data Science in Python at Native Code Speed | 2021 | SIGMOD | 0.00010206514 |
| 2,242 | Procedural Extensions of SQL: Understanding their usage in the wild | 2021 | VLDB | 9.2124242e-05 |
| 3,085 | Compiling PL/SQL Away | 2020 | CIDR | 7.5960713e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,486 | Containerized Execution of UDFs: An Experimental Evaluation | 2022 | VLDB | 5.481452e-05 |
| 9,856 | Towards Unifying Query Interpretation and Compilation | 2023 | CIDR | 4.2652623e-05 |
| 848 | Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask | 2018 | VLDB | 0.00015933538 |
| 6,646 | Functional-Style SQL UDFs With a Capital 'F' | 2020 | SIGMOD | 4.9734285e-05 |
| 9,717 | YeSQL: Rich User-Defined Functions without the Overhead | 2022 | VLDB | 4.2939577e-05 |
| 1,875 | An Architecture for Compiling UDF-centric Workflows | 2015 | VLDB | 0.00010243959 |
| 6,703 | YeSQL: “You extend SQL” with Rich and Highly Performant User-Defined Functions in Relational Databases | 2022 | VLDB | 4.9514593e-05 |
| 9,765 | The UDFBench Benchmark for General-purpose UDF Queries | 2025 | VLDB | 4.2815042e-05 |
| 10,469 | UDFBench: A Tool for Benchmarking UDF Queries on SQL Engines | 2025 | SIGMOD | 4.1905499e-05 |
| 8,580 | Efficient Execution of User-Defined Functions in SQL Queries | 2023 | VLDB | 4.4876382e-05 |