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)
Incoming Non-self Citations Over Time
Authors
- 1. Zongheng Yang
- 2. Wei-Lin Chiang
- 3. Sifei Luan
- 4. Gautam Mittal
- 5. Michael Luo
- 6. Ion Stoica
Incoming Citations (Sorted by Pagerank)
Showing 3 of 53 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,872 | LEAP: A Low-cost Spark SQL Query Optimizer using Pairwise Comparison | 2025 | VLDB | 5.1725247e-05 |
| 10,884 | RankPQO: Learning-to-Rank for Parametric Query Optimization | 2025 | VLDB | 5.1725247e-05 |
| 11,002 | Towards Full Stack Adaptivity in Permissioned Blockchains | 2024 | VLDB | 5.1725247e-05 |
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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