Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation
Summary: Introduces a MILP formulation for optimal arbitrary bushy join trees, overcoming prior models’ structural limits. A hybrid strategy invokes MILP selectively, scaling to 100-way joins while delivering robustly superior plan quality. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Manuel Schönberger (Technical University of Applied Sciences Regensburg)
- 2. Immanuel Trummer (Cornell University)
- 3. Wolfgang Mauerer (Siemens; Technical University of Applied Sciences Regensburg)
BibTeX Citation
@article{schonberger_vldb26,
title = {{Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation}},
author = {Schönberger, Manuel and Trummer, Immanuel and Mauerer, Wolfgang},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {3},
pages = {348--360},
doi = {10.14778/3778092.3778097},
url = {https://doi.org/10.14778/3778092.3778097},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,151 | Coresets for Robust Query Optimization | 2026 | PODS | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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