Evaluating Rank Joins with Optimal Cost
Summary: Generalized analysis of rank-join under monotone scores and ranked access; shows HRJN may read inputs suboptimally and that computing optimal stopping is NP-hard in general. For bounded-query-complexity cases, gives an algorithm that infers tight benefit bounds and attains constant-factor optimal cost. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Karl Schnaitter (University of California Santa Cruz)
- 2. Neoklis Polyzotis (University of California Santa Cruz)
BibTeX Citation
@inproceedings{schnaitter_pods08,
address = {New York, NY, USA},
series = {{PODS} '08},
title = {{Evaluating Rank Joins with Optimal Cost}},
url = {https://dl.acm.org/doi/10.1145/1376916.1376924},
doi = {10.1145/1376916.1376924},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Schnaitter, Karl and Polyzotis, Neoklis},
year = {2008}
}
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010828372 |
| 499 | Supporting Incremental Join Queries on Ranked Inputs | 2001 | VLDB | 0.00017431827 |
| 509 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB | 0.00017220967 |
| 973 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD | 0.00012874284 |
| 7,123 | Depth Estimation for Ranking Query Optimization | 2007 | VLDB | 5.6966694e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,740 | Adopting Worst-Case Optimal Joins in Relational Database Systems | 2020 | VLDB |
| 2 | 12,386 | Efficient Rank Join with Aggregation Constraints | 2011 | VLDB |
| 3 | 7,286 | Efficient Computation of Quantiles over Joins | 2023 | PODS |
| 4 | 509 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB |
| 5 | 5,601 | Optimal Join Algorithms Meet Top-k | 2020 | SIGMOD |
| 6 | 499 | Supporting Incremental Join Queries on Ranked Inputs | 2001 | VLDB |
| 7 | 7,550 | Processing Top-k Join Queries | 2010 | VLDB |
| 8 | 1,759 | Rank-aware Query Optimization | 2004 | SIGMOD |
| 9 | 5,138 | Robust and Efficient Algorithms for Rank Join Evaluation | 2009 | SIGMOD |
| 10 | 5,640 | Proximity Rank Join | 2010 | VLDB |