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Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries

Summary: Weighted distinct sampling (WDS) is proposed as a near-optimal framework for estimating SP cardinalities. The approach extends to SPJ queries, delivering the first non-trivial SPJ cardinality solution and is supported by extensive experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6163
Venue
SIGMOD
Year
2021
Pagerank
5.6625146e-05
Overall Rank
7,256 | 50.22%
DOI
10.1145/3448016.3452821

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{qiu_sigmod21,
        title = {{Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries}},
        author = {Qiu, Yuan and Wang, Yilei and Yi, Ke and Li, Feifei and Wu, Bin and Zhan, Chaoqun},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452821},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452821},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 27 of 27 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
9 Online Aggregation 1997 SIGMOD 0.00077458002
35 Improved Histograms for Selectivity Estimation of Range Predicates 1996 SIGMOD 0.00048481081
82 Space-Efficient Online Computation of Quantile Summaries 2001 SIGMOD 0.00036378991
136 Join Synopses for Approximate Query Answering 1999 SIGMOD 0.00030123303
168 Wavelet-Based Histograms for Selectivity Estimation 1998 SIGMOD 0.00027541029
255 Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports 2001 VLDB 0.00023174541
267 Optimal Histograms with Quality Guarantees 1998 VLDB 0.00022798161
482 An Optimal Algorithm for the Distinct Elements Problem 2010 PODS 0.00017772185
508 Random Sampling for Histogram Construction: How much is enough? 1998 SIGMOD 0.00017275873
593 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00016027871
689 On Synopses for Distinct-Value Estimation Under Multiset Operations 2007 SIGMOD 0.00014940023
723 Dynamic Multidimensional Histograms 2002 SIGMOD 0.00014620977
730 Bifocal Sampling for Skew-Resistant Join Size Estimation 1996 SIGMOD 0.00014539362
737 Join Size Estimation Subject to Filter Conditions 2015 VLDB 0.00014490983
817 Processing Complex Aggregate Queries over Data Streams 2002 SIGMOD 0.00013823702
819 Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters 2016 SIGMOD 0.00013815639
842 How to Summarize the Universe: Dynamic Maintenance of Quantiles 2002 VLDB 0.00013671191
1,045 Sketching Streams Through the Net: Distributed Approximate Query Tracking 2005 VLDB 0.00012440928
1,108 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00012145154
1,401 Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems 2014 SIGMOD 0.00010889902
1,664 Two-Level Sampling for Join Size Estimation 2017 SIGMOD 0.00010070362
2,455 DDSketch: A Fast and Fully-Mergeable Quantile Sketch with Relative-Error Guarantees 2019 VLDB 8.5552968e-05
2,563 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.412445e-05
2,747 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 8.1711208e-05
3,215 Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates 2019 CIDR 7.6324234e-05
4,409 MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions 2019 SIGMOD 6.7178579e-05
5,998 Approximate Distinct Counts for Billions of Datasets 2019 SIGMOD 6.0142553e-05
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