Opening the Black Boxes in Data Flow Optimization
Summary: Optimizes data flows with black-box UDFs by extracting a few operator properties to determine safe reordering, via static analysis of UDF code. The optimizer enables selection reordering, bushy join ordering, and limited aggregation push-down for non-relational flows, achieving relational-like rewrite power without relying on operator semantics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fabian Hueske (Technical University of Berlin)
- 2. Mathias Peters (Humboldt University of Berlin)
- 3. Matthias J. Sax (Humboldt University of Berlin)
- 4. Astrid Rheinländer (Humboldt University of Berlin)
- 5. Rico Bergmann (Humboldt University of Berlin)
- 6. Aljoscha Krettek (Technical University of Berlin)
- 7. Kostas Tzoumas (Technical University of Berlin)
BibTeX Citation
@article{hueske_vldb12,
title = {{Opening the Black Boxes in Data Flow Optimization}},
author = {Hueske, Fabian and Peters, Mathias and Sax, Matthias J. and Rheinländer, Astrid and Bergmann, Rico and Krettek, Aljoscha and Tzoumas, Kostas},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {11},
pages = {1256--1267},
doi = {10.14778/2350229.2350244},
url = {https://doi.org/10.14778/2350229.2350244},
year = {2012}
}
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