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Plan-Structured Deep Neural Network Models for Query Performance Prediction

Summary: Plan-structured deep neural networks that mirror optimizer plans to predict query latency. No hand-crafted features; learns operator-input interactions, adapts to workloads, with training optimizations, achieving state-of-the-art performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11861
Venue
VLDB
Year
2019
Pagerank
0.00015654004
Overall Rank
884 | 93.86%
DOI
10.14778/3342263.3342646

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 24 of 74 citing papers.

Rank Citing Paper Year Venue Pagerank
9,464 Memory Efficient Scheduling of Query Pipeline Execution 2022 CIDR 4.3355852e-05
9,467 Database Gyms 2023 CIDR 4.3346412e-05
9,600 Optimizing Dataflow Systems for Scalable Interactive Visualization 2024 SIGMOD 4.3177432e-05
9,825 Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement 2025 SIGMOD 4.2751057e-05
9,917 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 4.2561557e-05
9,930 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 4.2510122e-05
10,050 APQO: An Adaptive Framework for Parametric Query Optimization 2026 SIGMOD 4.1945683e-05
10,096 NeuSO: Neural Optimizer for Subgraph Queries 2026 SIGMOD 4.1945683e-05
10,125 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 4.1945683e-05
10,217 This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! 2026 SIGMOD 4.1945683e-05
10,219 Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking 2026 SIGMOD 4.1945683e-05
10,225 LIO: A lightweight and interpretable query optimizer based on an evolutionary forest 2026 VLDB 4.1945683e-05
10,271 OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning 2026 VLDB 4.1945683e-05
10,288 TATA: An Efficient Framework for Task Transfer in Query Plan Representation 2026 VLDB 4.1945683e-05
10,328 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 4.1945683e-05
10,425 Automated Database Tuning vs. Human-Based Tuning in a Simulated Stressful Work Environment: A Demonstration of the Database Gym 2025 SIGMOD 4.1945683e-05
10,543 Esc: An Early-Stopping Checker for Budget-aware Index Tuning 2025 VLDB 4.1945683e-05
10,564 PlanRGCN: Predicting SPARQL Query Performance 2025 VLDB 4.1945683e-05
10,630 Conformal Prediction for Verifiable Learned Query Optimization 2025 VLDB 4.1945683e-05
10,726 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB 4.1945683e-05
10,795 Opening The Black-Box: Explaining Learned Cost Models For Databases 2025 VLDB 4.1945683e-05
10,840 Learned Cost Models for Query Optimization: From Batch to Streaming Systems 2025 VLDB 4.1945683e-05
10,859 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 4.1945683e-05
11,415 Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications 2022 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

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

Rank Cited Paper Year Venue Pagerank
60 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.00064439773
102 The Case for Learned Index Structures 2018 SIGMOD 0.00049545203
115 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00046221215
182 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036962631
204 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034784455
300 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028441466
359 Self-Driving Database Management Systems 2017 CIDR 0.0002592783
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
659 The Making of TPC-DS 2006 VLDB 0.00018500853
684 Towards a Robust Query Optimizer: A Principled and Practical Approach 2005 SIGMOD 0.00018179769
718 Performance Prediction for Concurrent Database Workloads 2011 SIGMOD 0.0001763106
1,019 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00014625603
1,228 Toward a Progress Indicator for Database Queries 2004 SIGMOD 0.00013164884
1,770 ParaTimer: A Progress Indicator for MapReduce DAGs 2010 SIGMOD 0.00010618229
2,665 Statistical Learning Techniques for Costing XML Queries 2005 VLDB 8.3498101e-05
3,013 Cardinality Estimation Using Sample Views with Quality Assurance 2007 SIGMOD 7.7137441e-05
3,216 WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases 2016 VLDB 7.3601267e-05
3,658 Towards a Hands-Free Query Optimizer through Deep Learning 2019 CIDR 6.8704209e-05
4,088 Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads 2013 VLDB 6.4603918e-05
6,345 Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics 2016 SIGMOD 5.1023048e-05
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Overall Rank Paper Year Venue Pagerank
6,667 Leveraging Query Logs and Machine Learning for Parametric Query Optimization 2022 VLDB 4.9688874e-05
8,220 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 4.5557328e-05
608 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019235898
3,658 Towards a Hands-Free Query Optimizer through Deep Learning 2019 CIDR 6.8704209e-05
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9,120 Deep Query Optimization 2019 SIGMOD 4.392741e-05
10,859 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 4.1945683e-05
5,473 Facilitating SQL Query Composition and Analysis 2020 SIGMOD 5.4885366e-05
3,580 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 6.9500996e-05
5,637 Database Workload Characterization with Query Plan Encoders 2022 VLDB 5.3979505e-05