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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
11862
Venue
VLDB
Year
2019
Pagerank
0.00015660534
Overall Rank
876 | 93.92%
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
9,466 Memory Efficient Scheduling of Query Pipeline Execution 2022 CIDR 4.3314303e-05
9,469 Database Gyms 2023 CIDR 4.3304872e-05
9,600 Optimizing Dataflow Systems for Scalable Interactive Visualization 2024 SIGMOD 4.3136057e-05
9,824 Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement 2025 SIGMOD 4.2710095e-05
9,916 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 4.2520778e-05
9,931 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 4.2469394e-05
10,050 APQO: An Adaptive Framework for Parametric Query Optimization 2026 SIGMOD 4.1905499e-05
10,096 NeuSO: Neural Optimizer for Subgraph Queries 2026 SIGMOD 4.1905499e-05
10,125 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 4.1905499e-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 4.1905499e-05
10,219 Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking 2026 SIGMOD 4.1905499e-05
10,225 LIO: A lightweight and interpretable query optimizer based on an evolutionary forest 2026 VLDB 4.1905499e-05
10,271 OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning 2026 VLDB 4.1905499e-05
10,300 TATA: An Efficient Framework for Task Transfer in Query Plan Representation 2026 VLDB 4.1905499e-05
10,340 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 4.1905499e-05
10,435 Automated Database Tuning vs. Human-Based Tuning in a Simulated Stressful Work Environment: A Demonstration of the Database Gym 2025 SIGMOD 4.1905499e-05
10,552 Esc: An Early-Stopping Checker for Budget-aware Index Tuning 2025 VLDB 4.1905499e-05
10,573 PlanRGCN: Predicting SPARQL Query Performance 2025 VLDB 4.1905499e-05
10,638 Conformal Prediction for Verifiable Learned Query Optimization 2025 VLDB 4.1905499e-05
10,733 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB 4.1905499e-05
10,801 Opening The Black-Box: Explaining Learned Cost Models For Databases 2025 VLDB 4.1905499e-05
10,844 Learned Cost Models for Query Optimization: From Batch to Streaming Systems 2025 VLDB 4.1905499e-05
10,863 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 4.1905499e-05
11,418 Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications 2022 VLDB 4.1905499e-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
59 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.0006445664
101 The Case for Learned Index Structures 2018 SIGMOD 0.00049778866
116 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00046191288
181 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036970794
203 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034868567
293 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028661817
371 Self-Driving Database Management Systems 2017 CIDR 0.00025382677
527 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00020862475
627 Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors 2009 VLDB 0.00018959896
659 The Making of TPC-DS 2006 VLDB 0.00018514913
680 Towards a Robust Query Optimizer: A Principled and Practical Approach 2005 SIGMOD 0.00018193263
716 Performance Prediction for Concurrent Database Workloads 2011 SIGMOD 0.00017623897
1,017 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00014627121
1,229 Toward a Progress Indicator for Database Queries 2004 SIGMOD 0.00013153898
1,768 ParaTimer: A Progress Indicator for MapReduce DAGs 2010 SIGMOD 0.00010608933
2,667 Statistical Learning Techniques for Costing XML Queries 2005 VLDB 8.3444649e-05
3,013 Cardinality Estimation Using Sample Views with Quality Assurance 2007 SIGMOD 7.7082045e-05
3,222 WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases 2016 VLDB 7.3531422e-05
3,658 Towards a Hands-Free Query Optimizer through Deep Learning 2019 CIDR 6.8700949e-05
4,075 Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads 2013 VLDB 6.4699689e-05
6,341 Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics 2016 SIGMOD 5.0980049e-05
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Overall Rank Paper Year Venue Pagerank
6,639 Leveraging Query Logs and Machine Learning for Parametric Query Optimization 2022 VLDB 4.976781e-05
8,219 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 4.551524e-05
606 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019251186
3,658 Towards a Hands-Free Query Optimizer through Deep Learning 2019 CIDR 6.8700949e-05
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10,863 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 4.1905499e-05
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