| 18 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059284255 |
| 154 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00028726181 |
| 159 |
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies |
2004 |
SIGMOD |
0.00028129426 |
| 257 |
The History of Histograms (abridged) |
2003 |
VLDB |
0.00023154793 |
| 378 |
Bao: Making Learned Query Optimization Practical |
2021 |
SIGMOD |
0.00019638121 |
| 401 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
0.00019092557 |
| 492 |
Robust Query Processing through Progressive Optimization |
2004 |
SIGMOD |
0.0001756877 |
| 513 |
NeuroCard: One Cardinality Estimator for All Tables |
2021 |
VLDB |
0.00017190574 |
| 563 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.0001650812 |
| 664 |
Exploiting Statistics on Query Expressions for Optimization |
2002 |
SIGMOD |
0.00015167825 |
| 682 |
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques |
2012 |
VLDB |
0.00015014887 |
| 694 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.00014911698 |
| 697 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
0.00014888851 |
| 781 |
Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering |
2002 |
VLDB |
0.00014085674 |
| 813 |
Adaptive Ordering of Pipelined Stream Filters |
2004 |
SIGMOD |
0.00013846487 |
| 984 |
Analyzing Plan Diagrams of Database Query Optimizers |
2005 |
VLDB |
0.00012825643 |
| 1,122 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.0001209124 |
| 1,143 |
Toward a Progress Indicator for Database Queries |
2004 |
SIGMOD |
0.00011999403 |
| 1,170 |
QuickSel: Quick Selectivity Learning with Mixture Models |
2020 |
SIGMOD |
0.00011827259 |
| 1,256 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00011457194 |
| 1,266 |
Compressing SQL Workloads |
2002 |
SIGMOD |
0.00011412078 |
| 1,279 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00011361878 |
| 1,468 |
Towards a Learning Optimizer for Shared Clouds |
2019 |
VLDB |
0.00010686496 |
| 1,562 |
Estimating Progress of Execution for SQL Queries |
2004 |
SIGMOD |
0.00010354429 |
| 1,604 |
The Picasso Database Query Optimizer Visualizer |
2010 |
VLDB |
0.00010230973 |
| 1,648 |
BHUNT: Automatic Discovery of Fuzzy Algebraic Constraints in Relational Data |
2003 |
VLDB |
0.00010120668 |
| 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 |
| 1,936 |
Consistently Estimating the Selectivity of Conjuncts of Predicates |
2005 |
VLDB |
9.4557372e-05 |
| 1,982 |
WeTune: Automatic Discovery and Verification of Query Rewrite Rules |
2022 |
SIGMOD |
9.3573897e-05 |
| 1,987 |
Plan Bouquets: Query Processing without Selectivity Estimation |
2014 |
SIGMOD |
9.3517129e-05 |
| 1,988 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
9.3501502e-05 |
| 2,121 |
SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads |
2003 |
VLDB |
9.1402718e-05 |
| 2,157 |
A Black-Box Approach to Query Cardinality Estimation |
2007 |
CIDR |
9.0625592e-05 |
| 2,203 |
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models |
2017 |
VLDB |
8.9610447e-05 |
| 2,269 |
GORDIAN: Efficient and Scalable Discovery of Composite Keys |
2006 |
VLDB |
8.8328424e-05 |
| 2,313 |
Active Learning for ML Enhanced Database Systems |
2020 |
SIGMOD |
8.762627e-05 |
| 2,589 |
Statistical Learning Techniques for Costing XML Queries |
2005 |
VLDB |
8.371643e-05 |
| 2,620 |
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation |
2021 |
VLDB |
8.3363963e-05 |
| 2,822 |
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings |
2020 |
SIGMOD |
8.0898536e-05 |
| 2,892 |
Scalable and Adaptive Online Joins |
2014 |
VLDB |
7.9852178e-05 |
| 2,944 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
7.9335187e-05 |
| 2,991 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
7.8880723e-05 |
| 2,997 |
Adapting to Source Properties in Processing Data Integration Queries |
2004 |
SIGMOD |
7.8745158e-05 |
| 3,051 |
Towards a Hands-Free Query Optimizer through Deep Learning |
2019 |
CIDR |
7.8121919e-05 |
| 3,086 |
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation |
2021 |
SIGMOD |
7.7708642e-05 |
| 3,202 |
How to Fit when No One Size Fits |
2013 |
CIDR |
7.6409287e-05 |
| 3,309 |
Conditional Selectivity for Statistics on Query Expressions |
2004 |
SIGMOD |
7.5368417e-05 |
| 3,338 |
Robust Query Driven Cardinality Estimation under Changing Workloads |
2023 |
VLDB |
7.5068221e-05 |
| 3,426 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
7.4218997e-05 |