YeSQL: Rich User-Defined Functions without the Overhead
Summary: YeSQL extends SQL with rich Python UDFs (scalar, aggregate, table-valued) via a pluggable engine interface usable with server-based or embedded DB engines. It minimizes context switching to the Python VM and uses JIT-traced UDFs to provide practical speedups for data-management workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yannis Foufoulas (University of Athens)
- 2. Alkis Simitsis (Athena Research Center)
- 3. Yannis Ioannidis (University of Athens)
BibTeX Citation
@article{foufoulas_vldb22,
title = {{YeSQL: Rich User-Defined Functions without the Overhead}},
author = {Foufoulas, Yannis and Simitsis, Alkis and Ioannidis, Yannis},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3730--3733},
doi = {10.14778/3554821.3554886},
url = {https://doi.org/10.14778/3554821.3554886},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,415 | The Key to Effective UDF Optimization: Before Inlining, First Perform Outlining | 2025 | VLDB | 5.2742285e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 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 |
| 6,314 | YeSQL: "You extend SQL" with Rich and Highly Performant User-Defined Functions in Relational Databases | 2022 | VLDB | 5.9157364e-05 |
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