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Efficiently Approximating Selectivity Functions using Low Overhead Regression Models

Summary: Introduces incremental data generation with approximate labels to train low-overhead selectivity regression models. Extends to select-project-join with ranges and IN clauses, yielding 95th percentile error 10–100x lower than baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h8fc86ba712ac2799
Venue
VLDB
Year
2020
Pagerank
7.5363533e-05
Overall Rank
3,210 | 78.42%
DOI
10.14778/3407790.3407820

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{dutt_vldb20,
        title = {{Efficiently Approximating Selectivity Functions using Low Overhead Regression Models}},
        author = {Dutt, Anshuman and Wang, Chi and Narasayya, Vivek and Chaudhuri, Surajit},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {11},
        pages = {2215--2228},
        doi = {10.14778/3407790.3407820},
        url = {https://doi.org/10.14778/3407790.3407820},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 24 of 24 citing papers.

Rank Citing Paper Year Venue Pagerank
1,064 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012202282
1,515 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 0.00010417728
1,734 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.7545773e-05
2,583 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 8.2589758e-05
3,015 Data Acquisition for Improving Machine Learning Models 2021 VLDB 7.7529194e-05
3,327 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.4207879e-05
4,457 Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process 2022 SIGMOD 6.5913732e-05
4,563 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 6.5320994e-05
5,039 Leveraging Query Logs and Machine Learning for Parametric Query Optimization 2022 VLDB 6.3023214e-05
5,110 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 6.269351e-05
6,660 Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation 2023 SIGMOD 5.7178404e-05
6,753 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6904085e-05
6,791 dbET: Execution Time Distribution-based Plan Selection 2023 SIGMOD 5.6811782e-05
7,363 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 5.5418564e-05
7,429 Learning to be a Statistician: Learned Estimator for Number of Distinct Values 2022 VLDB 5.5300853e-05
7,900 DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning 2022 VLDB 5.4303143e-05
8,164 Efficient Query Re-optimization with Judicious Subquery Selections 2023 SIGMOD 5.3852872e-05
9,133 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.2229655e-05
9,610 LIMAO: A Framework for Lifelong Modular Learned Query Optimization 2025 VLDB 5.1526493e-05
9,718 A Practical Theory of Generalization in Selectivity Learning 2025 VLDB 5.1353964e-05
9,976 Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes 2023 SIGMOD 5.1031384e-05
10,216 PRICE: A Pretrained Model for Cross-Database Cardinality Estimation 2025 VLDB 5.0584922e-05
10,294 Data-Agnostic Cardinality Learning from Imperfect Workloads 2025 VLDB 5.0431863e-05
11,015 Vodka: Rethink Benchmarking Philosophy in HTAP Systems 2026 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 29 of 29 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0023947656
57 On Random Sampling over Joins 1999 SIGMOD 0.00040108301
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
138 Join Synopses for Approximate Query Answering 1999 SIGMOD 0.00029627449
286 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.0002211981
318 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021167555
371 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00019829769
373 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00019711632
386 Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors 2009 VLDB 0.00019444411
406 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019045544
454 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00017962189
646 Exploiting Statistics on Query Expressions for Optimization 2002 SIGMOD 0.0001520859
688 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00014753664
692 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014741011
750 Join Size Estimation Subject to Filter Conditions 2015 VLDB 0.00014265196
931 Dynamic Sample Selection for Approximate Query Processing 2003 SIGMOD 0.00013011667
1,156 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011777105
1,433 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 0.00010677711
1,508 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.00010440205
1,542 Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses 2018 VLDB 0.00010308631
1,678 Two-Level Sampling for Join Size Estimation 2017 SIGMOD 9.9088372e-05
1,891 CS2: A New Database Synopsis for Query Estimation 2013 SIGMOD 9.4184294e-05
2,172 A Black-Box Approach to Query Cardinality Estimation 2007 CIDR 8.9214171e-05
2,303 Selectivity Estimation in Extensible Databases - A Neural Network Approach 1998 VLDB 8.6708797e-05
2,891 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.9021718e-05
3,133 Statistics on Views 2003 VLDB 7.6127492e-05
4,642 Efficient Join Synopsis Maintenance for Data Warehouse 2020 SIGMOD 6.4898745e-05
5,470 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 6.1182634e-05
5,815 Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA 2014 SIGMOD 5.9844993e-05
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