Efficient Execution of User-Defined Functions in SQL Queries
Summary: Tutorial on bridging the execution-model mismatch between SQL engines and UDFs. Surveys physical optimization and compilation techniques, compares recent systems, and highlights open gaps and research directions for analytics/ML workloads. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yannis Foufoulas (Athena Research Center; University of Athens)
- 2. Alkis Simitsis (Athena Research Center)
BibTeX Citation
@article{foufoulas_vldb23,
title = {{Efficient Execution of User-Defined Functions in SQL Queries}},
author = {Foufoulas, Yannis and Simitsis, Alkis},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {3874--3877},
doi = {10.14778/3611540.3611574},
url = {https://doi.org/10.14778/3611540.3611574},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,614 | Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine | 2025 | SIGMOD | 5.8216658e-05 |
| 9,917 | The UDFBench Benchmark for General-purpose UDF Queries | 2025 | VLDB | 5.1955087e-05 |
| 9,997 | HyperBlocker: Accelerating Rule-based Blocking in Entity Resolution using GPUs | 2025 | VLDB | 5.1814573e-05 |
| 10,232 | EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines | 2026 | SIGMOD | 5.093636e-05 |
| 10,740 | UDFBench: A Tool for Benchmarking UDF Queries on SQL Engines | 2025 | SIGMOD | 5.093636e-05 |
| 10,751 | Approximating Opaque Top-k Queries | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,896 | User-Defined Aggregate Functions: Bridging Theory and Practice | 2006 | SIGMOD |
| 2 | 12,510 | Fast and Dynamic OLAP Exploration Using UDFs | 2009 | SIGMOD |
| 3 | 1,442 | An Architecture for Compiling UDF-centric Workflows | 2015 | VLDB |
| 4 | 6,015 | Dear User-Defined Functions, Inlining isn't working out so great for us. Let's try batching to make our relationship work. Sincerely, SQL | 2024 | CIDR |
| 5 | 4,273 | User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases | 2022 | VLDB |
| 6 | 3,945 | Exploiting Correlations for Expensive Predicate Evaluation | 2015 | SIGMOD |
| 7 | 10,740 | UDFBench: A Tool for Benchmarking UDF Queries on SQL Engines | 2025 | SIGMOD |
| 8 | 5,791 | Accelerating Python UDFs in Vectorized Query Execution | 2022 | CIDR |
| 9 | 6,328 | Functional-Style SQL UDFs With a Capital 'F' | 2020 | SIGMOD |
| 10 | 9,917 | The UDFBench Benchmark for General-purpose UDF Queries | 2025 | VLDB |