Adopting Worst-Case Optimal Joins in Relational Database Systems
Summary: Presents a practical hash-based worst-case-optimal join requiring no prebuilt ordered indexes, suitable for general-purpose HTAP systems. A hybrid optimizer combines binary and multiway joins, delivering large gains on favorable queries without regressions otherwise. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Freitag (Technical University of Munich)
- 2. Maximilian Bandle (Technical University of Munich)
- 3. Tobias Schmidt (Technical University of Munich)
- 4. Alfons Kemper (Technical University of Munich)
- 5. Thomas Neumann (Technical University of Munich)
BibTeX Citation
@article{freitag_vldb20,
title = {{Adopting Worst-Case Optimal Joins in Relational Database Systems}},
author = {Freitag, Michael and Bandle, Maximilian and Schmidt, Tobias and Kemper, Alfons and Neumann, Thomas},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {11},
pages = {1891--1904},
doi = {10.14778/3407790.3407797},
url = {https://doi.org/10.14778/3407790.3407797},
year = {2020}
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