Udon: Efficient Debugging of User-Defined Functions in Big Data Systems with Line-by-Line Control
Summary: Udon enables line-by-line debugging of UDFs in big data systems, with breakpoints, inspections, and live edits on a single tuple. A debug-aware execution model, cross-UDF state transfer, and optimizations keep overhead low while scaling across diverse UDF workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Yicong Huang (University of California Irvine)
- 2. Zuozhi Wang (University of California Irvine)
- 3. Chen Li (University of California Irvine)
BibTeX Citation
@inproceedings{huang_sigmod23,
title = {{Udon: Efficient Debugging of User-Defined Functions in Big Data Systems with Line-by-Line Control}},
author = {Huang, Yicong and Wang, Zuozhi and Li, Chen},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626712},
url = {https://dl.acm.org/doi/10.1145/3626712},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,916 | Texera: A System for Collaborative and Interactive Data Analytics Using Workflows | 2024 | VLDB | 5.3483178e-05 |
| 11,066 | ML-Asset Management: Curation, Discovery, and Utilization | 2025 | VLDB | 5.093636e-05 |
| 11,106 | IcedTea: Efficient and Responsive Time-Travel Debugging in Dataflow Systems | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010686205 |
| 1,768 | Tuplex: Data Science in Python at Native Code Speed | 2021 | SIGMOD | 9.8041636e-05 |
| 2,293 | Extending Relational Query Processing with ML Inference | 2020 | CIDR | 8.7949378e-05 |
| 4,114 | Optimizing Machine Learning Inference Queries with Correlative Proxy Models | 2022 | VLDB | 6.8941194e-05 |
| 8,090 | Amber: A Debuggable Dataflow System Based on the Actor Model | 2020 | VLDB | 5.4890583e-05 |
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