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Balsa: Learning a Query Optimizer Without Expert Demonstrations

Summary: Balsa uses deep RL to learn a query optimizer without expert demonstrations, from a simple simulator to safe real-execution fine-tuning. On Join Order Benchmark, it matches two expert optimizers after ~2 hours and beats them up to 2.8x with training. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6338
Venue
SIGMOD
Year
2022
Pagerank
0.00011100806
Overall Rank
1,371 | 90.48%
DOI
10.1145/3514221.3517885

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 50 of 53 citing papers.

Rank Citing Paper Year Venue Pagerank
2,506 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.5603022e-05
3,556 LOGER: A Learned Optimizer towards Generating Efficient and Robust Query Execution Plans 2023 VLDB 7.3766003e-05
3,755 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.2037909e-05
4,507 LEON: A New Framework for ML-Aided Query Optimization 2023 VLDB 6.723287e-05
4,581 Kepler: Robust Learning for Faster Parametric Query Optimization 2023 SIGMOD 6.6913226e-05
4,858 AutoSteer: Learned Query Optimization for Any SQL Database 2023 VLDB 6.5410955e-05
5,206 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.3868465e-05
5,214 FASTgres: Making Learned Query Optimizer Hinting Effective 2023 VLDB 6.3840792e-05
5,503 Eraser: Eliminating Performance Regression on Learned Query Optimizer 2024 VLDB 6.2627904e-05
5,640 Sample-Efficient Cardinality Estimation Using Geometric Deep Learning 2024 VLDB 6.2029974e-05
6,282 How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks 2025 SIGMOD 5.9906069e-05
6,373 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 5.9616981e-05
6,433 Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective 2024 VLDB 5.9423732e-05
6,499 Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis 2023 VLDB 5.917181e-05
6,628 Join Order Selection with Deep Reinforcement Learning: Fundamentals, Techniques, and Challenges 2023 VLDB 5.8775266e-05
6,698 Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation 2023 SIGMOD 5.8569921e-05
6,888 Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries 2023 SIGMOD 5.8154414e-05
7,261 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.715327e-05
7,269 Rethinking Learned Cost Models: Why Start from Scratch? 2023 SIGMOD 5.7128028e-05
7,722 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 5.6186987e-05
8,061 SlabCity: Whole-Query Optimization using Program Synthesis 2023 VLDB 5.5549338e-05
8,281 Can Large Language Models Be Query Optimizer for Relational Databases? 2026 SIGMOD 5.5167963e-05
8,463 Learned Offline Query Planning via Bayesian Optimization 2025 SIGMOD 5.4900503e-05
8,842 T3: Accurate and Fast Performance Prediction for Relational Database Systems With Compiled Decision Trees 2025 SIGMOD 5.4241294e-05
8,858 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.4212377e-05
8,988 BASE: Bridging the Gap between Cost and Latency for Query Optimization 2023 VLDB 5.4017106e-05
9,290 LIMAO: A Framework for Lifelong Modular Learned Query Optimization 2025 VLDB 5.3525489e-05
9,336 BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach 2023 SIGMOD 5.3449422e-05
9,526 Low Rank Learning for Offline Query Optimization 2025 SIGMOD 5.3206369e-05
9,579 Approximate Sketches 2024 SIGMOD 5.3118431e-05
9,819 Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement 2025 SIGMOD 5.2648912e-05
9,959 An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL 2025 SIGMOD 5.2142386e-05
10,018 GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints 2026 SIGMOD 5.1725247e-05
10,032 Rainbow: Risk-aware Index Benefit Estimation Facing Out Of Distribution Workloads 2026 SIGMOD 5.1725247e-05
10,050 APQO: An Adaptive Framework for Parametric Query Optimization 2026 SIGMOD 5.1725247e-05
10,096 NeuSO: Neural Optimizer for Subgraph Queries 2026 SIGMOD 5.1725247e-05
10,112 SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer 2026 SIGMOD 5.1725247e-05
10,156 Divo: Learning a Stable and Effective Query Optimizer with a Diverse Workload 2026 SIGMOD 5.1725247e-05
10,219 Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking 2026 SIGMOD 5.1725247e-05
10,225 LIO: A lightweight and interpretable query optimizer based on an evolutionary forest 2026 VLDB 5.1725247e-05
10,227 Sample-based Distinct Cardinality Estimation for Multiple Attributes in Multi-Dataset Queries 2026 VLDB 5.1725247e-05
10,271 OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning 2026 VLDB 5.1725247e-05
10,282 Toward Drift-Aware Database Benchmarking 2026 VLDB 5.1725247e-05
10,300 TATA: An Efficient Framework for Task Transfer in Query Plan Representation 2026 VLDB 5.1725247e-05
10,635 Robust Plan Evaluation based on Approximate Probabilistic Machine Learning 2025 VLDB 5.1725247e-05
10,638 Conformal Prediction for Verifiable Learned Query Optimization 2025 VLDB 5.1725247e-05
10,733 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB 5.1725247e-05
10,778 veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System 2025 VLDB 5.1725247e-05
10,844 Learned Cost Models for Query Optimization: From Batch to Streaming Systems 2025 VLDB 5.1725247e-05
10,863 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 5.1725247e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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