RankSQL: Query Algebra and Optimization for Relational Top-k Queries
Summary: RankSQL extends relational algebra with a rank-relational model and new operators to treat top-k as a first-class data property, akin to membership. It enables a pipelined, incremental ranking engine and uses dimensional enumeration with sampling-based cardinality estimates to optimize rank-aware plans, validated experimentally. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chengkai Li (University of Illinois Urbana-Champaign)
- 2. Kevin Chen-Chuan Chang (University of Illinois Urbana-Champaign)
- 3. Ihab F. Ilyas (University of Waterloo)
- 4. Sumin Song (University of Illinois Urbana-Champaign)
BibTeX Citation
@inproceedings{li_sigmod05,
title = {{RankSQL: Query Algebra and Optimization for Relational Top-k Queries}},
author = {Li, Chengkai and Chang, Kevin Chen-Chuan and Ilyas, Ihab F. and Song, Sumin},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066173},
url = {https://dl.acm.org/doi/10.1145/1066157.1066173},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
Showing 35 of 35 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,386 | Efficient Rank Join with Aggregation Constraints | 2011 | VLDB |
| 2 | 7,352 | Boolean + Ranking: Querying a Database by K-Constrained Optimization | 2006 | SIGMOD |
| 3 | 5,138 | Robust and Efficient Algorithms for Rank Join Evaluation | 2009 | SIGMOD |
| 4 | 7,299 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD |
| 5 | 4,587 | Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach | 2006 | VLDB |
| 6 | 11,183 | Relational Algorithms for Top-k Query Evaluation | 2024 | SIGMOD |
| 7 | 509 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB |
| 8 | 635 | Evaluating Top-k Selection Queries | 1999 | VLDB |
| 9 | 1,759 | Rank-aware Query Optimization | 2004 | SIGMOD |
| 10 | 5,862 | RankSQL: Supporting Ranking Queries in Relational Database Management Systems | 2005 | VLDB |