Database Paper Browser

Back to papers

Depth Estimation for Ranking Query Optimization

Summary: DEEP offers a principled framework to estimate input depth for rank-join operators from joint score distributions. Novel optimizer statistics algorithms enable accurate, data-aware depth estimation and better cost modeling for rank-join plans. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9640
Venue
VLDB
Year
2007
Pagerank
4.9136064e-05
Overall Rank
6,829 | 52.50%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
2,961 Evaluating Rank Joins with Optimal Cost 2008 PODS 7.8110394e-05
4,069 Proximity Rank Join 2010 VLDB 6.4789031e-05
5,373 Robust and Efficient Algorithms for Rank Join Evaluation 2009 SIGMOD 5.5425231e-05
5,855 Optimal Join Algorithms Meet Top-k 2020 SIGMOD 5.3006096e-05
7,374 Sharing Work in Keyword Search over Databases 2011 SIGMOD 4.7494134e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 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 Pagerank
5,373 Robust and Efficient Algorithms for Rank Join Evaluation 2009 SIGMOD 5.5425231e-05
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059038975
8,213 On the Calculation of Optimality Ranges for Relational Query Execution Plans 2018 SIGMOD 4.557937e-05
454 An Overview of Query Optimization in Relational Systems 1998 PODS 0.00022734812
12,191 Efficient Rank Join with Aggregation Constraints 2011 VLDB 4.1945683e-05
2,961 Evaluating Rank Joins with Optimal Cost 2008 PODS 7.8110394e-05
7,470 The Case for Deep Query Optimisation 2020 CIDR 4.7201897e-05
1,262 RankSQL: Query Algebra and Optimization for Relational Top-k Queries 2005 SIGMOD 0.00012986539
9,120 Deep Query Optimization 2019 SIGMOD 4.392741e-05
2,393 Rank-aware Query Optimization 2004 SIGMOD 8.9016542e-05