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Selectivity Estimation for Range Predicates using Lightweight Models

Summary: Framing selectivity for multi-dimensional range predicates as regression and evaluating lightweight neural nets and tree ensembles; naive use underperforms simple baselines. It introduces regression-label transformation and feature engineering, delivering fast, accurate estimates across diverse datasets for optimizers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11993
Venue
VLDB
Year
2019
Pagerank
0.00014888851
Overall Rank
697 | 95.22%
DOI
10.14778/3329772.3329780

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{dutt_vldb19,
        title = {{Selectivity Estimation for Range Predicates using Lightweight Models}},
        author = {Dutt, Anshuman and Wang, Chi and Nazi, Azade and Kandula, Srikanth and Narasayya, Vivek and Chaudhuri, Surajit},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {9},
        pages = {1044--1057},
        doi = {10.14778/3329772.3329780},
        url = {https://doi.org/10.14778/3329772.3329780},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 82 citing papers.

Rank Citing Paper Year Venue Pagerank
323 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021264788
401 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019092557
447 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018322593
513 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017190574
1,061 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012369764
1,122 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.0001209124
1,135 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00012032847
1,170 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011827259
1,241 Balsa: Learning a Query Optimizer Without Expert Demonstrations 2022 SIGMOD 0.00011521639
1,573 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010328171
1,876 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.5717543e-05
1,988 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 9.3501502e-05
2,420 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.605257e-05
2,543 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 8.4445934e-05
2,620 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 8.3363963e-05
2,723 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 8.2049453e-05
2,822 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 8.0898536e-05
2,888 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.9941489e-05
2,991 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 7.8880723e-05
3,035 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 7.8297746e-05
3,086 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 7.7708642e-05
3,162 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.6785856e-05
3,283 A Learned Sketch for Subgraph Counting 2021 SIGMOD 7.56675e-05
3,338 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.5068221e-05
3,545 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 7.3249967e-05
3,587 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2829345e-05
3,688 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 7.201795e-05
3,961 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.987575e-05
4,349 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 6.7504619e-05
4,368 Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process 2022 SIGMOD 6.7393882e-05
4,434 LEON: A New Framework for ML-Aided Query Optimization 2023 VLDB 6.7079088e-05
4,612 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 6.6072026e-05
4,900 COMPASS: Online Sketch-based Query Optimization for In-Memory Databases 2021 SIGMOD 6.4534715e-05
5,010 Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server 2023 VLDB 6.4023732e-05
5,011 Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach 2020 SIGMOD 6.4020848e-05
5,059 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 6.3807509e-05
5,321 High-Performance Row Pattern Recognition Using Joins 2023 VLDB 6.2659937e-05
5,340 Machine Learning for Databases 2021 VLDB 6.2603359e-05
5,394 Leveraging Query Logs and Machine Learning for Parametric Query Optimization 2022 VLDB 6.2336084e-05
5,529 Debunking the Myth of Join Ordering: Toward Robust SQL Analytics 2025 SIGMOD 6.18591e-05
5,712 Sample-Efficient Cardinality Estimation Using Geometric Deep Learning 2024 VLDB 6.1123894e-05
5,792 Pre-training Summarization Models of Structured Datasets for Cardinality Estimation 2022 VLDB 6.0871213e-05
6,543 Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation 2023 SIGMOD 5.8461929e-05
6,549 Index-Accelerated Pattern Matching in Event Stores 2021 SIGMOD 5.8442558e-05
6,593 Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis 2023 VLDB 5.8297039e-05
6,704 ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation 2024 SIGMOD 5.797374e-05
6,939 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.7338637e-05
7,206 Selectivity Functions of Range Queries are Learnable* 2022 SIGMOD 5.6731116e-05
7,213 Scalable Multi-Query Execution using Reinforcement Learning 2021 SIGMOD 5.670422e-05
7,290 Learning to be a Statistician: Learned Estimator for Number of Distinct Values 2022 VLDB 5.6540503e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

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

Rank Cited Paper Year Venue Pagerank
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
100 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034385207
101 Selectivity Estimation Without the Attribute Value Independence Assumption 1997 VLDB 0.00034376651
159 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00028129426
168 Wavelet-Based Histograms for Selectivity Estimation 1998 SIGMOD 0.00027541029
222 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.00024193708
280 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00022454217
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
448 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00018292618
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
2,281 Selectivity Estimation in Extensible Databases - A Neural Network Approach 1998 VLDB 8.8129279e-05
2,493 Applying the Golden Rule of Sampling for Query Estimation 2001 SIGMOD 8.5070756e-05
2,944 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.9335187e-05
4,405 DigitHist: a Histogram-Based Data Summary with Tight Error Bounds 2017 VLDB 6.7218674e-05
5,365 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 6.2462467e-05
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