Depth Estimation for Ranking Query Optimization

Summary: DEEP estimates rank-join input depth—the key cost driver—by modeling the joint score distribution across base tables. Efficient algorithms integrate this principled, data-aware framework into optimizers, outperforming prior estimation techniques. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: hdeb5ee2b9e96a7a3
Venue: VLDB
Year: 2007
Pagerank: 5.55407e-05
Overall Rank: 7,266 | 51.30%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Karl Schnaitter (University of California Santa Cruz)
2. Joshua Spiegel (BEA Systems)
3. Neoklis Polyzotis (University of California Santa Cruz)

BibTeX Citation

@article{schnaitter_vldb07,
        title = {{Depth Estimation for Ranking Query Optimization}},
        author = {Schnaitter, Karl and Spiegel, Joshua and Polyzotis, Neoklis},
        journal = {PVLDB},
        series = {{VLDB} '07},
        pages = {902--913},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,625	Evaluating Rank Joins with Optimal Cost	2008	PODS	8.1948138e-05
4,730	Optimal Join Algorithms Meet Top-k	2020	SIGMOD	6.4313418e-05
5,254	Robust and Efficient Algorithms for Rank Join Evaluation	2009	SIGMOD	6.1964074e-05
5,783	Proximity Rank Join	2010	VLDB	5.9780797e-05
7,846	Sharing Work in Keyword Search over Databases	2011	SIGMOD	5.4254046e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
5	Optimal Aggregation Algorithms for Middleware [Extended Abstract]	2001	PODS	0.0010688884
37	Improved Histograms for Selectivity Estimation of Range Predicates	1996	SIGMOD	0.00047654188
91	On the Propagation of Errors in the Size of Join Results	1991	SIGMOD	0.00034691614
138	Join Synopses for Approximate Query Answering	1999	SIGMOD	0.00029532435
171	Wavelet-Based Histograms for Selectivity Estimation	1998	SIGMOD	0.00027063233
252	Approximate Medians and other Quantiles in One Pass and with Limited Memory	1998	SIGMOD	0.00023058622
311	Approximate Query Processing Using Wavelets	2000	VLDB	0.00021315058
450	Histogram-Based Approximation of Set-Valued Query Answers	1999	VLDB	0.0001806593
505	Supporting Top-k Join Queries in Relational Databases	2003	VLDB	0.00017162373
941	RankSQL: Query Algebra and Optimization for Relational Top-k Queries	2005	SIGMOD	0.00012938573
1,712	Rank-aware Query Optimization	2004	SIGMOD	9.7961248e-05
3,858	Graph-Based Synopses for Relational Selectivity Estimation	2006	SIGMOD	6.9543709e-05

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#	Overall Rank	Paper	Year	Venue
1	15	How Good Are Query Optimizers, Really?	2016	VLDB
2	7,619	On the Calculation of Optimality Ranges for Relational Query Execution Plans	2018	SIGMOD
3	259	An Overview of Query Optimization in Relational Systems	1998	PODS
4	12,726	Efficient Rank Join with Aggregation Constraints	2011	VLDB
5	10,585	Succinct Structure Representations for Efficient Query Optimization	2026	SIGMOD
6	2,625	Evaluating Rank Joins with Optimal Cost	2008	PODS
7	7,051	The Case for Deep Query Optimisation	2020	CIDR
8	941	RankSQL: Query Algebra and Optimization for Relational Top-k Queries	2005	SIGMOD
9	9,365	Deep Query Optimization	2019	SIGMOD
10	1,712	Rank-aware Query Optimization	2004	SIGMOD