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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
h367a2811607db582
Venue
VLDB
Year
2012
Pagerank
0.00014814858
Overall Rank
682 | 95.42%
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
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035876108
361 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00020000855
462 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00017836105
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016408613
1,068 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012186505
1,280 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011224914
1,605 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 0.00010095581
1,800 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2018 VLDB 9.6082185e-05
2,209 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.8360101e-05
2,278 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.7057608e-05
2,393 A Learned Query Rewrite System using Monte Carlo Tree Search 2022 VLDB 8.5298464e-05
2,833 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 7.9539771e-05
2,837 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 7.9495917e-05
2,879 Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction 2022 VLDB 7.9126862e-05
3,519 Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads 2013 VLDB 7.2361015e-05
3,964 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.889374e-05
4,485 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 6.5771335e-05
4,713 Learned Index Benefits: Machine Learning Based Index Performance Estimation 2022 VLDB 6.4543291e-05
5,159 Facilitating SQL Query Composition and Analysis 2020 SIGMOD 6.2464819e-05
5,188 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.2346845e-05
5,216 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.2218868e-05
5,310 CliffGuard: A Principled Framework for Finding Robust Database Designs 2015 SIGMOD 6.184026e-05
5,392 PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics 2013 VLDB 6.1494698e-05
5,658 Uncertainty Aware Query Execution Time Prediction 2014 VLDB 6.0460211e-05
5,895 Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees 2025 SIGMOD 5.9534254e-05
6,758 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6877154e-05
6,876 Distribution-Based Query Scheduling 2013 VLDB 5.6565323e-05
7,021 Rethinking Learned Cost Models: Why Start from Scratch? 2023 SIGMOD 5.6168049e-05
7,074 Plan Stitch: Harnessing the Best of Many Plans 2018 VLDB 5.604902e-05
7,356 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 5.5421826e-05
7,813 Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward 2021 VLDB 5.4474823e-05
7,869 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.4342182e-05
8,570 Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems 2022 VLDB 5.3113492e-05
9,084 Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud 2024 SIGMOD 5.2258409e-05
9,124 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.2247088e-05
9,405 Intelligent Automated Workload Analysis for Database Replatforming 2022 SIGMOD 5.182976e-05
9,796 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 5.1236285e-05
9,950 Wred: Workload Reduction for Scalable Index Tuning 2024 SIGMOD 5.102891e-05
10,152 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB 5.0691578e-05
10,459 EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines 2026 SIGMOD 4.9769913e-05
10,615 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 4.9769913e-05
11,064 SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses 2026 VLDB 4.9769913e-05
11,232 Esc: An Early-Stopping Checker for Budget-aware Index Tuning 2025 VLDB 4.9769913e-05
11,246 PlanRGCN: Predicting SPARQL Query Performance 2025 VLDB 4.9769913e-05
12,321 Lifting the Haze off the Cloud: A Consumer-Centric Market for Database Computation in the Cloud 2017 VLDB 4.9769913e-05
12,554 Workload Management for Big Data Analytics 2013 SIGMOD 4.9769913e-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
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034099838
371 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00019822444
454 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00017955913
585 Workload-Aware Database Monitoring and Consolidation 2011 SIGMOD 0.00015942562
629 Performance Prediction for Concurrent Database Workloads 2011 SIGMOD 0.00015428007
754 Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs 2011 VLDB 0.00014231311
1,378 Execution Strategies for SQL Subqueries 2007 SIGMOD 0.00010859556
2,211 The Case for Predictive Database Systems: Opportunities and Challenges 2011 CIDR 8.8308259e-05
2,625 Statistical Learning Techniques for Costing XML Queries 2005 VLDB 8.206615e-05
Previous Page 1 / 1 Next

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