| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059446482 |
| 185 |
DuckDB: an Embeddable Analytical Database |
2019 |
SIGMOD |
0.00036529607 |
| 787 |
Cypher: An Evolving Query Language for Property Graphs |
2018 |
SIGMOD |
0.00016624372 |
| 1,104 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.0001398479 |
| 1,621 |
Adaptive Optimization of Very Large Join Queries |
2018 |
SIGMOD |
0.00011105663 |
| 2,143 |
Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities |
2019 |
SIGMOD |
9.4437798e-05 |
| 2,616 |
Opening the Black Boxes in Data Flow Optimization |
2012 |
VLDB |
8.4457819e-05 |
| 2,778 |
Counter Strike: Generic Top-Down Join Enumeration for Hypergraphs |
2013 |
VLDB |
8.1345892e-05 |
| 3,476 |
Solving the Join Ordering Problem via Mixed Integer Linear Programming |
2017 |
SIGMOD |
7.0560383e-05 |
| 3,920 |
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML |
2018 |
VLDB |
6.6246708e-05 |
| 4,255 |
Parallelizing Query Optimization |
2008 |
VLDB |
6.3080082e-05 |
| 4,466 |
Robust Join Processing with Diamond Hardened Joins |
2024 |
VLDB |
6.1545841e-05 |
| 4,734 |
Query Simplification: Graceful Degradation for Join-Order Optimization |
2009 |
SIGMOD |
5.9553181e-05 |
| 4,939 |
On the Correct and Complete Enumeration of the Core Search Space |
2013 |
SIGMOD |
5.8131374e-05 |
| 4,952 |
Designing an Open Framework for Query Optimization and Compilation |
2022 |
VLDB |
5.806142e-05 |
| 5,087 |
Accelerating Queries with Group-By and Join by Groupjoin |
2011 |
VLDB |
5.7032118e-05 |
| 5,195 |
Bitvector-aware Query Optimization for Decision Support Queries |
2020 |
SIGMOD |
5.6314278e-05 |
| 5,497 |
SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra |
2020 |
VLDB |
5.4741034e-05 |
| 5,778 |
Graph-Aware, Workload-Adaptive SPARQL Query Caching |
2015 |
SIGMOD |
5.3274776e-05 |
| 6,060 |
Efficient Massively Parallel Join Optimization for Large Queries* |
2022 |
SIGMOD |
5.2271244e-05 |
| 6,154 |
PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba |
2023 |
SIGMOD |
5.1795738e-05 |
| 6,336 |
Dependency-Aware Reordering for Parallelizing Query Optimization in Multi-Core CPUs |
2009 |
SIGMOD |
5.1009488e-05 |
| 6,862 |
Join Order Selection with Deep Reinforcement Learning: Fundamentals, Techniques, and Challenges |
2023 |
VLDB |
4.9004921e-05 |
| 6,883 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
4.8918682e-05 |
| 7,122 |
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics |
2025 |
SIGMOD |
4.8199209e-05 |
| 7,465 |
Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees |
2025 |
SIGMOD |
4.7186055e-05 |
| 7,472 |
The Case for Deep Query Optimisation |
2020 |
CIDR |
4.7156624e-05 |
| 7,486 |
Quantum-Inspired Digital Annealing for Join Ordering |
2024 |
VLDB |
4.7135369e-05 |
| 8,078 |
AJoin: Ad-hoc Stream Joins at Scale |
2020 |
VLDB |
4.5873626e-05 |
| 8,193 |
On the Calculation of Optimality Ranges for Relational Query Execution Plans |
2018 |
SIGMOD |
4.5575291e-05 |
| 8,844 |
Faster Plan Generation through Consideration of Functional Dependencies and Keys |
2016 |
VLDB |
4.4334103e-05 |
| 9,191 |
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance |
2024 |
VLDB |
4.3738237e-05 |
| 9,303 |
Engineering High-Performance Database Engines |
2014 |
VLDB |
4.3550373e-05 |
| 9,959 |
An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL |
2025 |
SIGMOD |
4.2254157e-05 |
| 10,295 |
Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation |
2026 |
VLDB |
4.1905499e-05 |
| 10,945 |
Sub-optimal Join Order Identification with L1-error |
2024 |
SIGMOD |
4.1905499e-05 |
| 10,990 |
DPconv: Super-Polynomially Faster Join Ordering |
2024 |
SIGMOD |
4.1905499e-05 |
| 11,710 |
Improving Join Reorderability with Compensation Operators |
2018 |
SIGMOD |
4.1905499e-05 |