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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
12298
Venue
VLDB
Year
2020
Pagerank
7.6785856e-05
Overall Rank
3,162 | 78.31%
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
1,061 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012369764
1,832 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 9.6607418e-05
1,876 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.5717543e-05
2,620 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 8.3363963e-05
2,994 Data Acquisition for Improving Machine Learning Models 2021 VLDB 7.8762343e-05
3,338 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.5068221e-05
4,368 Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process 2022 SIGMOD 6.7393882e-05
4,612 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 6.6072026e-05
5,059 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 6.3807509e-05
5,394 Leveraging Query Logs and Machine Learning for Parametric Query Optimization 2022 VLDB 6.2336084e-05
6,543 Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation 2023 SIGMOD 5.8461929e-05
6,939 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.7338637e-05
7,193 dbET: Execution Time Distribution-based Plan Selection 2023 SIGMOD 5.6770249e-05
7,290 Learning to be a Statistician: Learned Estimator for Number of Distinct Values 2022 VLDB 5.6540503e-05
7,750 DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning 2022 VLDB 5.5523652e-05
8,040 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 5.5018396e-05
8,984 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.3395569e-05
9,428 LIMAO: A Framework for Lifelong Modular Learned Query Optimization 2025 VLDB 5.2709145e-05
9,756 Efficient Query Re-optimization with Judicious Subquery Selections 2023 SIGMOD 5.2258278e-05
9,793 Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes 2023 SIGMOD 5.2193018e-05
9,958 A Practical Theory of Generalization in Selectivity Learning 2025 VLDB 5.1879626e-05
10,028 PRICE: A Pretrained Model for Cross-Database Cardinality Estimation 2025 VLDB 5.1745962e-05
10,591 Vodka: Rethink Benchmarking Philosophy in HTAP Systems 2026 VLDB 5.093636e-05
10,875 Data-Agnostic Cardinality Learning from Imperfect Workloads 2025 VLDB 5.093636e-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 0.0024089429
54 On Random Sampling over Joins 1999 SIGMOD 0.00040810225
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
136 Join Synopses for Approximate Query Answering 1999 SIGMOD 0.00030123303
280 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00022454217
323 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021264788
365 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00020041735
388 Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors 2009 VLDB 0.00019410042
401 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019092557
422 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00018732744
448 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00018292618
664 Exploiting Statistics on Query Expressions for Optimization 2002 SIGMOD 0.00015167825
694 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00014911698
697 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014888851
737 Join Size Estimation Subject to Filter Conditions 2015 VLDB 0.00014490983
909 Dynamic Sample Selection for Approximate Query Processing 2003 SIGMOD 0.00013291205
1,170 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011827259
1,468 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 0.00010686496
1,503 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.000105564
1,536 Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses 2018 VLDB 0.00010460864
1,664 Two-Level Sampling for Join Size Estimation 2017 SIGMOD 0.00010070362
1,893 CS2: A New Database Synopsis for Query Estimation 2013 SIGMOD 9.5269935e-05
2,157 A Black-Box Approach to Query Cardinality Estimation 2007 CIDR 9.0625592e-05
2,281 Selectivity Estimation in Extensible Databases - A Neural Network Approach 1998 VLDB 8.8129279e-05
2,944 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.9335187e-05
3,093 Statistics on Views 2003 VLDB 7.7664764e-05
4,630 Efficient Join Synopsis Maintenance for Data Warehouse 2020 SIGMOD 6.5955933e-05
5,365 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 6.2462467e-05
5,693 Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA 2014 SIGMOD 6.1189424e-05
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