Database Paper Browser

Back to papers

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

Authors

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
Previous Page 2 / 2 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers