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Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques

Summary: Operator-specific statistical models with per-operator features and explicit asymptotic behavior. Integrates DB query processing knowledge with statistical techniques to achieve robust, plan-agnostic resource estimates transferable to arbitrary plans; validated on real-life and benchmark workloads on Microsoft SQL Server. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10578
Venue
VLDB
Year
2012
Pagerank
0.00015014887
Overall Rank
682 | 95.33%
DOI
10.14778/2350229.2350269

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb12,
        title = {{Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques}},
        author = {Li, Jiexing and König, Arnd Christian and Narasayya, Vivek and Chaudhuri, Surajit},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {11},
        pages = {1555--1566},
        doi = {10.14778/2350229.2350269},
        url = {https://doi.org/10.14778/2350229.2350269},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 46 of 46 citing papers.

Rank Citing Paper Year Venue Pagerank
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
378 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019638121
465 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001803934
563 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001650812
1,092 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012221946
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011361878
1,712 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 9.9492299e-05
1,815 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2018 VLDB 9.6894541e-05
2,313 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.762627e-05
2,420 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.605257e-05
2,452 A Learned Query Rewrite System using Monte Carlo Tree Search 2022 VLDB 8.5584e-05
2,812 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 8.0979597e-05
2,822 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 8.0898536e-05
2,844 Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction 2022 VLDB 8.0608767e-05
3,482 Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads 2013 VLDB 7.3751635e-05
3,961 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.987575e-05
4,643 Learned Index Benefits: Machine Learning Based Index Performance Estimation 2022 VLDB 6.5907466e-05
5,073 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.3751266e-05
5,107 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.3623786e-05
5,132 Facilitating SQL Query Composition and Analysis 2020 SIGMOD 6.3534526e-05
5,169 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 6.3349035e-05
5,222 CliffGuard: A Principled Framework for Finding Robust Database Designs 2015 SIGMOD 6.3103741e-05
5,287 PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics 2013 VLDB 6.2815429e-05
5,537 Uncertainty Aware Query Execution Time Prediction 2014 VLDB 6.1820087e-05
6,434 Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees 2025 SIGMOD 5.8799421e-05
6,921 Rethinking Learned Cost Models: Why Start from Scratch? 2023 SIGMOD 5.7388557e-05
6,939 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.7338637e-05
7,149 Distribution-Based Query Scheduling 2013 VLDB 5.6878283e-05
7,655 Plan Stitch: Harnessing the Best of Many Plans 2018 VLDB 5.5741093e-05
7,661 Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward 2021 VLDB 5.5736026e-05
7,755 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.5519655e-05
8,040 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 5.5018396e-05
8,410 Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems 2022 VLDB 5.4309397e-05
8,910 Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud 2024 SIGMOD 5.3483178e-05
9,283 Intelligent Automated Workload Analysis for Database Replatforming 2022 SIGMOD 5.2925877e-05
9,615 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 5.2436464e-05
10,066 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.1643809e-05
10,082 Wred: Workload Reduction for Scalable Index Tuning 2024 SIGMOD 5.1587525e-05
10,232 EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines 2026 SIGMOD 5.093636e-05
10,413 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,608 SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses 2026 VLDB 5.093636e-05
10,815 Esc: An Early-Stopping Checker for Budget-aware Index Tuning 2025 VLDB 5.093636e-05
10,830 PlanRGCN: Predicting SPARQL Query Performance 2025 VLDB 5.093636e-05
10,969 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB 5.093636e-05
12,020 Lifting the Haze off the Cloud: A Consumer-Centric Market for Database Computation in the Cloud 2017 VLDB 5.093636e-05
12,257 Workload Management for Big Data Analytics 2013 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Rank Cited Paper Year Venue Pagerank
100 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034385207
365 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00020041735
448 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00018292618
584 Workload-Aware Database Monitoring and Consolidation 2011 SIGMOD 0.00016139925
624 Performance Prediction for Concurrent Database Workloads 2011 SIGMOD 0.00015683402
735 Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs 2011 VLDB 0.00014522606
1,362 Execution Strategies for SQL Subqueries 2007 SIGMOD 0.00011032204
2,177 The Case for Predictive Database Systems: Opportunities and Challenges 2011 CIDR 9.0159844e-05
2,589 Statistical Learning Techniques for Costing XML Queries 2005 VLDB 8.371643e-05
Previous Page 1 / 1 Next

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