RankSQL: Supporting Ranking Queries in Relational Database Management Systems
Summary: RankSQL makes top-k ranking a first-class relational operation via rank-relational algebra and rank-aware execution. Its physical operators and two-dimensional plan enumeration avoid materialize-then-sort, yielding orders-of-magnitude speedups. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chengkai Li (University of Illinois Urbana-Champaign)
- 2. Mohamed A. Soliman (University of Waterloo)
- 3. Kevin Chen-Chuan Chang (University of Illinois Urbana-Champaign)
- 4. Ihab F. Ilyas (University of Waterloo)
BibTeX Citation
@article{li_vldb05,
title = {{RankSQL: Supporting Ranking Queries in Relational Database Management Systems}},
author = {Li, Chengkai and Soliman, Mohamed A. and Chang, Kevin Chen-Chuan and Ilyas, Ihab F.},
journal = {PVLDB},
series = {{VLDB} '05},
pages = {1342},
year = {2005}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,596 | On the Complexity of Query Result Diversification | 2013 | VLDB | 7.2722683e-05 |
| 6,412 | Ranked Enumeration of Join Queries with Projections | 2022 | VLDB | 5.8836116e-05 |
| 8,028 | On the Complexity of Package Recommendation Problems | 2012 | PODS | 5.504636e-05 |
| 10,180 | Query Answering Under Volume-Based Diversity Functions | 2026 | PODS | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 509 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB | 0.00017220967 |
| 827 | Minimal Probing: Supporting Expensive Predicates for Top-k Queries | 2002 | SIGMOD | 0.00013769938 |
| 973 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD | 0.00012874284 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,706 | Supporting Ad-hoc Ranking Aggregates | 2006 | SIGMOD |
| 2 | 11,183 | Relational Algorithms for Top-k Query Evaluation | 2024 | SIGMOD |
| 3 | 2,585 | Evaluating Rank Joins with Optimal Cost | 2008 | PODS |
| 4 | 12,386 | Efficient Rank Join with Aggregation Constraints | 2011 | VLDB |
| 5 | 7,299 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD |
| 6 | 4,587 | Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach | 2006 | VLDB |
| 7 | 635 | Evaluating Top-k Selection Queries | 1999 | VLDB |
| 8 | 509 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB |
| 9 | 1,759 | Rank-aware Query Optimization | 2004 | SIGMOD |
| 10 | 973 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD |