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
- 2. Kevin Chen-Chuan Chang
- 3. Ihab F. Ilyas
- 4. Sumin Song
Incoming Citations (Sorted by Pagerank)
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Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,199 | Efficient Rank Join with Aggregation Constraints | 2011 | VLDB | 4.1905499e-05 |
| 7,469 | Boolean + Ranking: Querying a Database by K-Constrained Optimization | 2006 | SIGMOD | 4.7165172e-05 |
| 5,379 | Robust and Efficient Algorithms for Rank Join Evaluation | 2009 | SIGMOD | 5.5375923e-05 |
| 7,273 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD | 4.775366e-05 |
| 4,718 | Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach | 2006 | VLDB | 5.9664602e-05 |
| 673 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB | 0.00018325667 |
| 10,973 | Relational Algorithms for Top-k Query Evaluation | 2024 | SIGMOD | 4.1905499e-05 |
| 802 | Evaluating Top-k Selection Queries | 1999 | VLDB | 0.00016440813 |
| 2,249 | Rank-aware Query Optimization | 2004 | SIGMOD | 9.1956569e-05 |
| 6,136 | RankSQL: Supporting Ranking Queries in Relational Database Management Systems | 2005 | VLDB | 5.1906626e-05 |