<ul data-eligibleForWebStory="false"><li>SQLBarber is a system leveraging Large Language Models (LLMs) to generate customized and realistic SQL workloads for database research and development.</li><li>It eliminates the need for manual crafting of SQL templates by providing a declarative interface and accepts natural language specifications to constrain SQL templates.</li><li>SQLBarber scales efficiently to generate large volumes of queries matching user-defined cost distributions and uses execution statistics from Amazon Redshift and Snowflake for real-world query characteristics.</li><li>The system introduces a self-correction module, a Bayesian Optimizer, and open-sourced benchmarks to generate customized SQL templates, reduce query generation time significantly, and improve alignment with target cost distributions.</li></ul>

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

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