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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
h9ca47ddcdbacab57
Venue
VLDB
Year
2019
Pagerank
0.00014741011
Overall Rank
692 | 95.35%
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 83 citing papers.

Rank Citing Paper Year Venue Pagerank
318 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021167555
406 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019045544
430 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018409112
512 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017050173
982 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00012714044
1,064 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012202282
1,132 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00011898257
1,156 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011777105
1,199 Balsa: Learning a Query Optimizer Without Expert Demonstrations 2022 SIGMOD 0.00011563985
1,580 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010180835
1,734 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.7545773e-05
2,004 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 9.2065719e-05
2,210 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.8257742e-05
2,342 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 8.6060437e-05
2,522 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 8.3477168e-05
2,583 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 8.2589758e-05
2,765 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 8.0439015e-05
2,834 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 7.9560627e-05
2,846 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 7.9453616e-05
2,908 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.8742664e-05
3,052 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 7.7052471e-05
3,160 A Learned Sketch for Subgraph Counting 2021 SIGMOD 7.5807496e-05
3,210 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.5363533e-05
3,327 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.4207879e-05
3,486 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2636102e-05
3,562 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 7.2046519e-05
3,741 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 7.0594076e-05
3,965 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.8918628e-05
4,258 LEON: A New Framework for ML-Aided Query Optimization 2023 VLDB 6.6994722e-05
4,311 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 6.6727978e-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
4,741 Machine Learning for Databases 2021 VLDB 6.4410027e-05
4,950 Debunking the Myth of Join Ordering: Toward Robust SQL Analytics 2025 SIGMOD 6.3421691e-05
5,003 COMPASS: Online Sketch-based Query Optimization for In-Memory Databases 2021 SIGMOD 6.3188773e-05
5,022 Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server 2023 VLDB 6.3100988e-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
5,126 Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach 2020 SIGMOD 6.261175e-05
5,449 High-Performance Row Pattern Recognition Using Joins 2023 VLDB 6.1254016e-05
5,649 Sample-Efficient Cardinality Estimation Using Geometric Deep Learning 2024 VLDB 6.052326e-05
5,840 Pre-training Summarization Models of Structured Datasets for Cardinality Estimation 2022 VLDB 5.9737703e-05
6,660 Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation 2023 SIGMOD 5.7178404e-05
6,673 Index-Accelerated Pattern Matching in Event Stores 2021 SIGMOD 5.7131264e-05
6,710 Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis 2023 VLDB 5.7019157e-05
6,753 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6904085e-05
6,818 ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation 2024 SIGMOD 5.672718e-05
7,332 Selectivity Functions of Range Queries are Learnable* 2022 SIGMOD 5.5499953e-05
7,341 Scalable Multi-Query Execution using Reinforcement Learning 2021 SIGMOD 5.5481233e-05
7,363 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 5.5418564e-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
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034106982
103 Selectivity Estimation Without the Attribute Value Independence Assumption 1997 VLDB 0.00033894985
160 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00027837289
169 Wavelet-Based Histograms for Selectivity Estimation 1998 SIGMOD 0.00027134723
232 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.00023792809
286 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.0002211981
371 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00019829769
386 Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors 2009 VLDB 0.00019444411
454 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00017962189
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
2,303 Selectivity Estimation in Extensible Databases - A Neural Network Approach 1998 VLDB 8.6708797e-05
2,538 Applying the Golden Rule of Sampling for Query Estimation 2001 SIGMOD 8.3284106e-05
2,891 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.9021718e-05
4,462 DigitHist: a Histogram-Based Data Summary with Tight Error Bounds 2017 VLDB 6.5880099e-05
5,470 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 6.1182634e-05
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