Sora Prompt to Generate SQL Queries
Sora, developed by OpenAI, is primarily known as a video generation model, but its integration into the OpenAI ecosystem also allows leveraging its textual capabilities for technical tasks like generating SQL queries. By crafting precise and structured prompts, you can obtain optimized SQL queries tailored to your database schema and business needs. Whether you work with MySQL, PostgreSQL, SQL Server, or SQLite, a well-constructed prompt enables you to generate complex queries including joins, subqueries, aggregations, and window functions. The major advantage lies in the model's ability to understand a natural language description and transform it into a syntactically correct and efficient query. This approach is particularly useful for developers wanting to speed up their workflow, data analysts not fully proficient in SQL, or teams needing to quickly prototype queries on complex schemas. In this guide, we offer optimized prompts to get the most out of Sora for SQL query generation, with variants adapted to each expertise level.
The prompt
You are an expert in relational databases and SQL optimization. I work with a [MySQL/PostgreSQL/SQL Server] database with the following schema:
[Paste your table schema with columns, types, and relationships]
Generate a SQL query to answer the following need: [Describe your need in natural language, e.g., "Get monthly revenue by product category for the year 2025, sorted by descending month"]
Constraints:
- Use explicit aliases for every table and computed column
- Add SQL comments explaining each section of the query
- Optimize the query for performance (suggested indexes if relevant)
- Handle NULL values appropriately
- Follow SQL best practices (no SELECT *, explicit joins)
Provide the final query, then a step-by-step explanation of its logic.
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Why it works
This prompt works due to the expert role assignment that guides the model towards professional-quality responses. The structure in distinct sections (schema, need, constraints) allows the model to process each aspect methodically. The explicit constraints on SQL best practices ensure a production-ready result, not just syntactically correct.
Expected result
Variants by level
FAQ
How do I effectively provide my database schema in the prompt?
Are the generated queries directly usable in production?
How do I get queries adapted to a specific DBMS?
How to use this prompt
- Copy the prompt with the button above.
- Paste it into ChatGPT, Claude or your favorite AI assistant.
- Replace the bracketed variables with your details, then refine the result.
About Prompt Guide
Prompt Guide is a free library of 4800+ ready-to-use prompts for ChatGPT, Claude and other AIs, with guides to learn prompting and tools to build and optimize your own prompts.
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