DBScholar

Back to papers

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
0.00014838681
Overall Rank
676 | 95.48%
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 0.00035920657
355 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00020146245
453 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001801482
545 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001657599
1,058 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012225863
1,282 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011197535
1,609 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 0.0001007196
1,803 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2018 VLDB 9.5987229e-05
2,190 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.8848923e-05
2,290 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.6813363e-05
2,389 A Learned Query Rewrite System using Monte Carlo Tree Search 2022 VLDB 8.5228689e-05
2,619 Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction 2022 VLDB 8.1985665e-05
2,768 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 8.0199086e-05
2,828 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 7.9476509e-05
3,384 Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads 2013 VLDB 7.3392425e-05
3,959 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.8804723e-05
4,508 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 6.5553854e-05
4,726 Learned Index Benefits: Machine Learning Based Index Performance Estimation 2022 VLDB 6.4329878e-05
4,833 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.3834856e-05
5,160 Facilitating SQL Query Composition and Analysis 2020 SIGMOD 6.2354336e-05
5,211 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.2141929e-05
5,324 CliffGuard: A Principled Framework for Finding Robust Database Designs 2015 SIGMOD 6.1645235e-05
5,394 PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics 2013 VLDB 6.1351004e-05
5,670 Uncertainty Aware Query Execution Time Prediction 2014 VLDB 6.0266818e-05
5,911 Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees 2025 SIGMOD 5.9338021e-05
6,158 Rethinking Learned Cost Models: Why Start from Scratch? 2023 SIGMOD 5.8518237e-05
6,768 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6693759e-05
6,841 Distribution-Based Query Scheduling 2013 VLDB 5.6512839e-05
7,094 Plan Stitch: Harnessing the Best of Many Plans 2018 VLDB 5.5863735e-05
7,363 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.5279826e-05
7,377 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 5.5238616e-05
7,830 Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward 2021 VLDB 5.4294933e-05
8,589 Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems 2022 VLDB 5.2937865e-05
9,011 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB 5.2238303e-05
9,105 Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud 2024 SIGMOD 5.208561e-05
9,143 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.2074327e-05
9,430 Intelligent Automated Workload Analysis for Database Replatforming 2022 SIGMOD 5.1658393e-05
9,829 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 5.1066866e-05
9,983 Wred: Workload Reduction for Scalable Index Tuning 2024 SIGMOD 5.0860177e-05
10,525 EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines 2026 SIGMOD 4.9605343e-05
10,676 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 4.9605343e-05
11,125 SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses 2026 VLDB 4.9605343e-05
11,288 Esc: An Early-Stopping Checker for Budget-aware Index Tuning 2025 VLDB 4.9605343e-05
11,302 PlanRGCN: Predicting SPARQL Query Performance 2025 VLDB 4.9605343e-05
12,364 Lifting the Haze off the Cloud: A Consumer-Centric Market for Database Computation in the Cloud 2017 VLDB 4.9605343e-05
12,597 Workload Management for Big Data Analytics 2013 SIGMOD 4.9605343e-05
Previous Page 1 / 1 Next

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 0.00034050614
372 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00019768921
457 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00017915659
586 Workload-Aware Database Monitoring and Consolidation 2011 SIGMOD 0.00015905357
628 Performance Prediction for Concurrent Database Workloads 2011 SIGMOD 0.00015421836
759 Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs 2011 VLDB 0.00014194746
1,381 Execution Strategies for SQL Subqueries 2007 SIGMOD 0.00010832197
2,220 The Case for Predictive Database Systems: Opportunities and Challenges 2011 CIDR 8.8121054e-05
2,614 Statistical Learning Techniques for Costing XML Queries 2005 VLDB 8.2023561e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 10,446 Coresets for Robust Query Optimization 2026 PODS
2 11,347 Robust Plan Evaluation based on Approximate Probabilistic Machine Learning 2025 VLDB
3 5,670 Uncertainty Aware Query Execution Time Prediction 2014 VLDB
4 5,730 Efficient and Accurate Cost Models for Parallel Query Optimization 1996 PODS
5 58 Statistical Estimators for Relational Algebra Expressions 1988 PODS
6 2,661 A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries 2001 SIGMOD
7 6,128 Robustness Metrics for Relational Query Execution Plans 2018 VLDB
8 646 Exploiting Statistics on Query Expressions for Optimization 2002 SIGMOD
9 568 Towards a Robust Query Optimizer: A Principled and Practical Approach 2005 SIGMOD
10 6,470 A Statistical Approach Towards Robust Progress Estimation 2012 VLDB