| 9,691 |
Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes |
2023 |
SIGMOD |
4.3035354e-05 |
| 9,693 |
ROME: Robust Query Optimization via Parallel Multi-Plan Execution |
2024 |
SIGMOD |
4.3027391e-05 |
| 9,726 |
Cardinality Estimation of LIKE Predicate Queries using Deep Learning |
2025 |
SIGMOD |
4.2943379e-05 |
| 9,728 |
SPACE: Cardinality Estimation for Path Queries Using Cardinality-Aware Sequence-based Learning |
2025 |
SIGMOD |
4.2942813e-05 |
| 9,743 |
Databases in the Era of Memory-Centric Computing |
2025 |
CIDR |
4.2897489e-05 |
| 9,747 |
Still Asking: How Good Are Query Optimizers, Really? |
2025 |
VLDB |
4.2897489e-05 |
| 9,763 |
The UDFBench Benchmark for General-purpose UDF Queries |
2025 |
VLDB |
4.2856106e-05 |
| 9,812 |
A Practical Theory of Generalization in Selectivity Learning |
2025 |
VLDB |
4.2783272e-05 |
| 9,825 |
Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement |
2025 |
SIGMOD |
4.2751057e-05 |
| 9,843 |
Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints |
2025 |
PODS |
4.2721228e-05 |
| 9,845 |
Path-centric Cardinality Estimation for Subgraph Matching |
2025 |
VLDB |
4.2721228e-05 |
| 9,848 |
Saving Money for Analytical Workloads in the Cloud |
2024 |
VLDB |
4.2721228e-05 |
| 9,869 |
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections |
2022 |
VLDB |
4.2675361e-05 |
| 9,877 |
Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation |
2025 |
VLDB |
4.2656547e-05 |
| 9,878 |
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation |
2025 |
VLDB |
4.2656547e-05 |
| 9,892 |
DBMS Fitting: Why should we learn what we already know? |
2020 |
CIDR |
4.261445e-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 |
| 9,945 |
SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index |
2026 |
SIGMOD |
4.2432653e-05 |
| 9,957 |
How to Optimize SQL Queries? A Comparison Between Split, Holistic, and Hybrid Approaches |
2025 |
VLDB |
4.2373024e-05 |
| 9,960 |
An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL |
2025 |
SIGMOD |
4.2294678e-05 |
| 9,988 |
I Can't Believe It's Not Yannakakis: Pragmatic Bitmap Filters in Microsoft SQL Server |
2026 |
CIDR |
4.1945683e-05 |
| 9,993 |
Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! |
2026 |
CIDR |
4.1945683e-05 |
| 10,018 |
GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,032 |
Rainbow: Risk-aware Index Benefit Estimation Facing Out Of Distribution Workloads |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,034 |
SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,047 |
AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,049 |
Approximate Query Processing under Updates |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,050 |
APQO: An Adaptive Framework for Parametric Query Optimization |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,093 |
MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,096 |
NeuSO: Neural Optimizer for Subgraph Queries |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,104 |
Query Optimization for Database-Returning Queries |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,112 |
SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,125 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,156 |
Divo: Learning a Stable and Effective Query Optimizer with a Diverse Workload |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,177 |
InferF: Declarative Factorization of AI/ML Inferences over Joins |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,203 |
Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,212 |
SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads |
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 |
| 10,227 |
Sample-based Distinct Cardinality Estimation for Multiple Attributes in Multi-Dataset Queries |
2026 |
VLDB |
4.1945683e-05 |
| 10,241 |
Robust Predicate Transfer with Dynamic Execution |
2026 |
VLDB |
4.1945683e-05 |
| 10,271 |
OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning |
2026 |
VLDB |
4.1945683e-05 |
| 10,283 |
Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation |
2026 |
VLDB |
4.1945683e-05 |
| 10,284 |
FlowLog: Efficient and Extensible Datalog via Incrementality |
2026 |
VLDB |
4.1945683e-05 |
| 10,288 |
TATA: An Efficient Framework for Task Transfer in Query Plan Representation |
2026 |
VLDB |
4.1945683e-05 |
| 10,372 |
Data Chunk Compaction in Vectorized Execution |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,435 |
Demo of LearnedWMP: Workload Memory Prediction Using Deep Query Template Representations |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,445 |
LpBound in Action: Cardinality Estimation with One-Sided Guarantees |
2025 |
SIGMOD |
4.1945683e-05 |