| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059038975 |
| 185 |
DuckDB: an Embeddable Analytical Database |
2019 |
SIGMOD |
0.00036538405 |
| 789 |
Cypher: An Evolving Query Language for Property Graphs |
2018 |
SIGMOD |
0.00016634256 |
| 1,105 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.00013990395 |
| 1,619 |
Adaptive Optimization of Very Large Join Queries |
2018 |
SIGMOD |
0.00011111678 |
| 2,142 |
Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities |
2019 |
SIGMOD |
9.4507296e-05 |
| 2,611 |
Opening the Black Boxes in Data Flow Optimization |
2012 |
VLDB |
8.4536967e-05 |
| 2,785 |
Counter Strike: Generic Top-Down Join Enumeration for Hypergraphs |
2013 |
VLDB |
8.1286814e-05 |
| 3,474 |
Solving the Join Ordering Problem via Mixed Integer Linear Programming |
2017 |
SIGMOD |
7.0625972e-05 |
| 3,918 |
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML |
2018 |
VLDB |
6.6315176e-05 |
| 4,261 |
Parallelizing Query Optimization |
2008 |
VLDB |
6.31244e-05 |
| 4,465 |
Robust Join Processing with Diamond Hardened Joins |
2024 |
VLDB |
6.1604282e-05 |
| 4,738 |
Query Simplification: Graceful Degradation for Join-Order Optimization |
2009 |
SIGMOD |
5.9600502e-05 |
| 4,938 |
On the Correct and Complete Enumeration of the Core Search Space |
2013 |
SIGMOD |
5.8184655e-05 |
| 4,948 |
Designing an Open Framework for Query Optimization and Compilation |
2022 |
VLDB |
5.8116879e-05 |
| 5,087 |
Accelerating Queries with Group-By and Join by Groupjoin |
2011 |
VLDB |
5.7075009e-05 |
| 5,194 |
Bitvector-aware Query Optimization for Decision Support Queries |
2020 |
SIGMOD |
5.6368209e-05 |
| 5,487 |
SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra |
2020 |
VLDB |
5.4791501e-05 |
| 5,771 |
Graph-Aware, Workload-Adaptive SPARQL Query Caching |
2015 |
SIGMOD |
5.3325981e-05 |
| 6,056 |
Efficient Massively Parallel Join Optimization for Large Queries* |
2022 |
SIGMOD |
5.2321475e-05 |
| 6,170 |
PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba |
2023 |
SIGMOD |
5.171601e-05 |
| 6,334 |
Dependency-Aware Reordering for Parallelizing Query Optimization in Multi-Core CPUs |
2009 |
SIGMOD |
5.1058462e-05 |
| 6,862 |
Join Order Selection with Deep Reinforcement Learning: Fundamentals, Techniques, and Challenges |
2023 |
VLDB |
4.9051979e-05 |
| 6,885 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
4.895386e-05 |
| 7,126 |
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics |
2025 |
SIGMOD |
4.8232367e-05 |
| 7,467 |
Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees |
2025 |
SIGMOD |
4.7218691e-05 |
| 7,470 |
The Case for Deep Query Optimisation |
2020 |
CIDR |
4.7201897e-05 |
| 7,486 |
Quantum-Inspired Digital Annealing for Join Ordering |
2024 |
VLDB |
4.7180617e-05 |
| 8,075 |
AJoin: Ad-hoc Stream Joins at Scale |
2020 |
VLDB |
4.5917655e-05 |
| 8,213 |
On the Calculation of Optimality Ranges for Relational Query Execution Plans |
2018 |
SIGMOD |
4.557937e-05 |
| 8,844 |
Faster Plan Generation through Consideration of Functional Dependencies and Keys |
2016 |
VLDB |
4.437664e-05 |
| 9,187 |
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance |
2024 |
VLDB |
4.3780059e-05 |
| 9,299 |
Engineering High-Performance Database Engines |
2014 |
VLDB |
4.3587894e-05 |
| 9,960 |
An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL |
2025 |
SIGMOD |
4.2294678e-05 |
| 10,283 |
Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation |
2026 |
VLDB |
4.1945683e-05 |
| 10,942 |
Sub-optimal Join Order Identification with L1-error |
2024 |
SIGMOD |
4.1945683e-05 |
| 10,987 |
DPconv: Super-Polynomially Faster Join Ordering |
2024 |
SIGMOD |
4.1945683e-05 |
| 11,705 |
Improving Join Reorderability with Compensation Operators |
2018 |
SIGMOD |
4.1945683e-05 |