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Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads

Summary: SQLBarber is an LLM-driven system that generates customized, realistic SQL workloads without prebuilt templates, guided by natural-language constraints. It derives template specifications and cost distributions from Redshift/Snowflake stats, scales to large workloads, and enables exploring cost-realism trade-offs under user constraints. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7150
Venue
SIGMOD
Year
2025
Pagerank
4.3441378e-05
Overall Rank
9,392 | 34.67%
DOI
10.1145/3722212.3725101

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