| 3,472 |
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency |
2025 |
VLDB |
7.0639229e-05 |
| 4,514 |
An Empirical Evaluation of Columnar Storage Formats |
2024 |
VLDB |
6.1204636e-05 |
| 5,371 |
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning |
2022 |
SIGMOD |
5.5428776e-05 |
| 5,633 |
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server |
2023 |
VLDB |
5.4011156e-05 |
| 6,366 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
5.0943443e-05 |
| 6,383 |
Sample-Efficient Cardinality Estimation Using Geometric Deep Learning |
2024 |
VLDB |
5.0884322e-05 |
| 6,750 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
4.9392771e-05 |
| 7,035 |
R-Bot: An LLM-based Query Rewrite System |
2025 |
VLDB |
4.8548467e-05 |
| 7,126 |
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics |
2025 |
SIGMOD |
4.8232367e-05 |
| 7,828 |
Modeling Shifting Workloads for Learned Database Systems |
2024 |
SIGMOD |
4.6407986e-05 |
| 7,854 |
dbET: Execution Time Distribution-based Plan Selection |
2023 |
SIGMOD |
4.6350172e-05 |
| 8,020 |
The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions |
2024 |
VLDB |
4.6040862e-05 |
| 8,207 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
4.5583637e-05 |
| 8,415 |
Pruning in Snowflake: Working Smarter, Not Harder |
2025 |
SIGMOD |
4.5197687e-05 |
| 8,448 |
PARQO: Penalty-Aware Robust Plan Selection in Query Optimization |
2024 |
VLDB |
4.5100508e-05 |
| 8,488 |
Can Large Language Models Be Query Optimizer for Relational Databases? |
2026 |
SIGMOD |
4.4998609e-05 |
| 8,659 |
Learned Offline Query Planning via Bayesian Optimization |
2025 |
SIGMOD |
4.4722928e-05 |
| 8,781 |
Accelerate Distributed Joins with Predicate Transfer |
2025 |
SIGMOD |
4.4534753e-05 |
| 8,896 |
SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation |
2026 |
VLDB |
4.427232e-05 |
| 9,006 |
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems |
2024 |
VLDB |
4.4101482e-05 |
| 9,381 |
MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores |
2023 |
SIGMOD |
4.3459591e-05 |
| 9,587 |
Low Rank Learning for Offline Query Optimization |
2025 |
SIGMOD |
4.3215645e-05 |
| 9,662 |
Efficient Query Re-optimization with Judicious Subquery Selections |
2023 |
SIGMOD |
4.3097631e-05 |
| 9,689 |
LST-Bench: Benchmarking Log-Structured Tables in the Cloud |
2024 |
SIGMOD |
4.3043822e-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 |
| 9,993 |
Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! |
2026 |
CIDR |
4.1945683e-05 |
| 10,125 |
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 |
| 10,203 |
Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization |
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 |
| 10,225 |
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 |
| 10,271 |
OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning |
2026 |
VLDB |
4.1945683e-05 |
| 10,497 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,619 |
Data-Agnostic Cardinality Learning from Imperfect Workloads |
2025 |
VLDB |
4.1945683e-05 |
| 10,627 |
Robust Plan Evaluation based on Approximate Probabilistic Machine Learning |
2025 |
VLDB |
4.1945683e-05 |
| 10,751 |
PAR2QO: Parametric Penalty-Aware Robust Query Optimization |
2025 |
VLDB |
4.1945683e-05 |
| 10,880 |
RankPQO: Learning-to-Rank for Parametric Query Optimization |
2025 |
VLDB |
4.1945683e-05 |
| 10,942 |
Sub-optimal Join Order Identification with L1-error |
2024 |
SIGMOD |
4.1945683e-05 |