Rank Join Queries in NoSQL Databases
Summary: First study of top-k rank joins in cloud NoSQL systems, spanning MapReduce baselines, inverted-index and adapted rank-join methods. Introduces histogram/Bloom-filter structures with distributed construction, online updates, and cost/network-aware evaluation on Hadoop/HBase and EC2. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nikos Ntarmos (University of Glasgow)
- 2. Ioannis Patlakas (Max Planck Institute)
- 3. Peter Triantafillou (University of Glasgow)
BibTeX Citation
@article{ntarmos_vldb14,
title = {{Rank Join Queries in NoSQL Databases}},
author = {Ntarmos, Nikos and Patlakas, Ioannis and Triantafillou, Peter},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {7},
pages = {493--504},
doi = {10.14778/2732286.2732291},
url = {https://doi.org/10.14778/2732286.2732291},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,894 | Distributed Evaluation of Top-k Temporal Joins | 2016 | SIGMOD | 5.3504579e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 4 | 973 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD |
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| 7 | 2,585 | Evaluating Rank Joins with Optimal Cost | 2008 | PODS |
| 8 | 5,862 | RankSQL: Supporting Ranking Queries in Relational Database Management Systems | 2005 | VLDB |
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| 10 | 7,207 | A Scalable and Generic Approach to Range Joins | 2022 | VLDB |