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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
11805
Venue
VLDB
Year
2019
Pagerank
0.00013027411
Overall Rank
1,254 | 91.28%
DOI
10.14778/3329772.3329780

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 50 of 79 citing papers.

Rank Citing Paper Year Venue Pagerank
608 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019235898
758 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.0001706608
826 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00016224841
910 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423056
1,611 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00011147324
1,638 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00011049779
1,703 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010836769
1,737 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00010720294
2,121 Balsa: Learning a Query Optimizer Without Expert Demonstrations 2022 SIGMOD 9.5017232e-05
2,364 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 8.9554751e-05
2,762 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 8.1585394e-05
2,783 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 8.1293383e-05
3,266 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 7.3074684e-05
3,348 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 7.1904529e-05
3,449 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 7.0824319e-05
3,473 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.062864e-05
3,499 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 7.0376445e-05
3,625 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 6.9055212e-05
3,778 A Learned Sketch for Subgraph Counting 2021 SIGMOD 6.7747398e-05
3,779 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 6.7747205e-05
3,924 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 6.6271553e-05
3,954 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 6.5926838e-05
3,990 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 6.5581983e-05
4,359 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 6.2569955e-05
4,399 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 6.2225151e-05
4,417 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 6.2037371e-05
4,434 Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process 2022 SIGMOD 6.1929999e-05
4,543 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 6.1011198e-05
4,590 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.0620053e-05
5,059 High-Performance Row Pattern Recognition Using Joins 2023 VLDB 5.7277656e-05
5,334 LEON: A New Framework for ML-Aided Query Optimization 2023 VLDB 5.5649836e-05
5,401 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 5.5285035e-05
5,622 Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach 2020 SIGMOD 5.4060403e-05
5,633 Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server 2023 VLDB 5.4011156e-05
5,645 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 5.3923454e-05
5,861 Machine Learning for Databases 2021 VLDB 5.298883e-05
5,880 COMPASS: Online Sketch-based Query Optimization for In-Memory Databases 2021 SIGMOD 5.2898074e-05
6,040 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 5.2412035e-05
6,368 Pre-training Summarization Models of Structured Datasets for Cardinality Estimation 2022 VLDB 5.0937722e-05
6,383 Sample-Efficient Cardinality Estimation Using Geometric Deep Learning 2024 VLDB 5.0884322e-05
6,667 Leveraging Query Logs and Machine Learning for Parametric Query Optimization 2022 VLDB 4.9688874e-05
6,788 Index-Accelerated Pattern Matching in Event Stores 2021 SIGMOD 4.9252064e-05
7,011 Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis 2023 VLDB 4.8629458e-05
7,123 ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation 2024 SIGMOD 4.8251036e-05
7,126 Debunking the Myth of Join Ordering: Toward Robust SQL Analytics 2025 SIGMOD 4.8232367e-05
7,221 Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation 2023 SIGMOD 4.797194e-05
7,296 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 4.7723197e-05
7,457 Selectivity Functions of Range Queries are Learnable* 2022 SIGMOD 4.7247191e-05
7,461 Scalable Multi-Query Execution using Reinforcement Learning 2021 SIGMOD 4.723898e-05
7,610 Learning to be a Statistician: Learned Estimator for Number of Distinct Values 2022 VLDB 4.6965039e-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
141 Selectivity Estimation Without the Attribute Value Independence Assumption 1997 VLDB 0.00041786333
182 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036962631
204 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034784455
222 Wavelet-Based Histograms for Selectivity Estimation 1998 SIGMOD 0.00032828302
224 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00032746205
252 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.00030632263
372 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00025354779
512 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00021380733
529 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00020828852
629 Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors 2009 VLDB 0.00018942366
1,981 Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses 2018 VLDB 9.8687545e-05
2,165 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 9.389622e-05
2,835 Applying the Golden Rule of Sampling for Query Estimation 2001 SIGMOD 8.0448428e-05
2,841 Selectivity Estimation in Extensible Databases - A Neural Network Approach 1998 VLDB 8.0287389e-05
3,408 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.1288167e-05
4,831 DigitHist: a Histogram-Based Data Summary with Tight Error Bounds 2017 VLDB 5.8924198e-05
5,668 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 5.3806337e-05
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7,457 Selectivity Functions of Range Queries are Learnable* 2022 SIGMOD 4.7247191e-05
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3,954 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 6.5926838e-05