Rank-aware Query Optimization
Summary: Rank-aware query optimization framework integrating rank-join operators into relational engines, extending System R's dynamic programming with ranking-driven enumeration and pruning. Proposes a probabilistic model to estimate input cardinality and rank-join cost—the first to optimize input size for rank aggregation—validated on an open-source DBMS. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ihab F. Ilyas
- 2. Rahul Shah
- 3. Walid G. Aref
- 4. Jeffrey Scott Vitter
- 5. Ahmed K. Elmagarmid
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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 |
|---|---|---|---|---|
| 454 | An Overview of Query Optimization in Relational Systems | 1998 | PODS | 0.00022796106 |
| 673 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB | 0.00018325667 |
| 7,165 | Ranked Enumeration of Join Queries with Projections | 2022 | VLDB | 4.807833e-05 |
| 10,884 | RankPQO: Learning-to-Rank for Parametric Query Optimization | 2025 | VLDB | 4.1905499e-05 |
| 2,965 | Evaluating Rank Joins with Optimal Cost | 2008 | PODS | 7.8049517e-05 |
| 5,379 | Robust and Efficient Algorithms for Rank Join Evaluation | 2009 | SIGMOD | 5.5375923e-05 |
| 6,826 | Depth Estimation for Ranking Query Optimization | 2007 | VLDB | 4.9090969e-05 |
| 12,199 | Efficient Rank Join with Aggregation Constraints | 2011 | VLDB | 4.1905499e-05 |
| 6,136 | RankSQL: Supporting Ranking Queries in Relational Database Management Systems | 2005 | VLDB | 5.1906626e-05 |
| 1,207 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD | 0.0001327437 |