Robust and Efficient Algorithms for Rank Join Evaluation
Summary: Proposes FRPA, an instance-optimal rank-join operator that fixes PBRJRR_FR bottlenecks, keeping I/O on par with its best. Introduces adaptive a-FRPA and reports experiments with up to 10x speedups over the state-of-the-art in rank-join evaluation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,702 | Optimal Algorithms for Ranked Enumeration of Answers to Full Conjunctive Queries | 2020 | VLDB | 6.8251643e-05 |
| 4,072 | Proximity Rank Join | 2010 | VLDB | 6.4726748e-05 |
| 5,845 | Optimal Join Algorithms Meet Top-k | 2020 | SIGMOD | 5.3057391e-05 |
| 5,963 | Beyond Equi-joins: Ranking, Enumeration and Factorization | 2021 | VLDB | 5.2485815e-05 |
| 8,857 | Distributed Evaluation of Top-k Temporal Joins | 2016 | SIGMOD | 4.4302523e-05 |
| 9,801 | Threshold Queries in Theory and in the Wild | 2022 | VLDB | 4.2777144e-05 |
| 10,973 | Relational Algorithms for Top-k Query Evaluation | 2024 | SIGMOD | 4.1905499e-05 |
| 12,199 | Efficient Rank Join with Aggregation Constraints | 2011 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0015436578 |
| 386 | Shooting Stars in the Sky: An Online Algorithm for Skyline Queries | 2002 | VLDB | 0.00024740283 |
| 551 | Supporting Incremental Join Queries on Ranked Inputs | 2001 | VLDB | 0.00020310856 |
| 673 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB | 0.00018325667 |
| 1,207 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD | 0.0001327437 |
| 2,965 | Evaluating Rank Joins with Optimal Cost | 2008 | PODS | 7.8049517e-05 |
| 4,506 | Efficiently Answering Top-k Typicality Queries on Large Databases | 2007 | VLDB | 6.1273675e-05 |
| 6,826 | Depth Estimation for Ranking Query Optimization | 2007 | VLDB | 4.9090969e-05 |
| 7,133 | Anytime Measures for Top-k Algorithms | 2007 | VLDB | 4.8175888e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,845 | Optimal Join Algorithms Meet Top-k | 2020 | SIGMOD | 5.3057391e-05 |
| 7,660 | Processing Top-k Join Queries | 2010 | VLDB | 4.6814547e-05 |
| 551 | Supporting Incremental Join Queries on Ranked Inputs | 2001 | VLDB | 0.00020310856 |
| 2,891 | Joining Ranked Inputs in Practice | 2002 | VLDB | 7.9577748e-05 |
| 12,199 | Efficient Rank Join with Aggregation Constraints | 2011 | VLDB | 4.1905499e-05 |
| 1,207 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD | 0.0001327437 |
| 4,072 | Proximity Rank Join | 2010 | VLDB | 6.4726748e-05 |
| 673 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB | 0.00018325667 |
| 2,249 | Rank-aware Query Optimization | 2004 | SIGMOD | 9.1956569e-05 |
| 2,965 | Evaluating Rank Joins with Optimal Cost | 2008 | PODS | 7.8049517e-05 |