Lightning Fast and Space Efficient Inequality Joins
Summary: Introduces fast inequality join algorithms using sorted arrays, permutation encodings of cross-array positions, and space-efficient bit-arrays with Bloom-filter-like indices. Centralized PostgreSQL and distributed Spark SQL implementations outperform traditional methods, showing scalable, orders-of-magnitude speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zuhair Khayyat (King Abdullah University of Science and Technology; Qatar Computing Research Institute)
- 2. William Lucia (Qatar Computing Research Institute)
- 3. Meghna Singh (Qatar Computing Research Institute)
- 4. Mourad Ouzzani (Qatar Computing Research Institute)
- 5. Paolo Papotti (Qatar Computing Research Institute)
- 6. Jorge-Arnulfo Quiané-Ruiz (Qatar Computing Research Institute)
- 7. Nan Tang (Qatar Computing Research Institute)
- 8. Panos Kalnis (King Abdullah University of Science and Technology)
BibTeX Citation
@article{khayyat_vldb15,
title = {{Lightning Fast and Space Efficient Inequality Joins}},
author = {Khayyat, Zuhair and Lucia, William and Singh, Meghna and Ouzzani, Mourad and Papotti, Paolo and Quiané-Ruiz, Jorge-Arnulfo and Tang, Nan and Kalnis, Panos},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {13},
pages = {2074--2085},
doi = {10.14778/2831360.2831362},
url = {https://doi.org/10.14778/2831360.2831362},
year = {2015}
}
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