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Generador de prompts de procedimiento almacenado SQL
Used by developers, writers, and creators worldwide.
A SQL stored procedure prompt generator builds a precise, fill-in request you can give an AI assistant so it writes a procedure that is transactional and safe rather than a fragile snippet. Pick your database dialect and describe what the procedure should do, and it produces a prompt that names the correct creation syntax for that engine, asks for typed and validated parameters, an explicit transaction with rollback on error, protection against injection, returned row counts, and clear comments. Database engineers use it to get production-ready procedures from a model, avoid the dynamic-SQL pitfalls that cause data corruption, and standardise how their team asks for database logic. It runs in your browser and generates instantly. Edit the goal and choose the right dialect, then paste the prompt into your assistant. The explicit requirements steer the model toward set-based, repeatable SQL you can deploy with confidence.
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How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Pick your SQL dialect.
- Describe what the procedure should do.
- Click Generate to build the prompt.
- Paste it into your AI assistant and test the result on a copy of the data.
Use Cases
- •Getting a transactional stored procedure from an AI assistant
- •Avoiding dynamic-SQL injection in generated database code
- •Targeting the right syntax for Postgres, MySQL, SQL Server, or Oracle
- •Standardising how a team requests database logic
- •Scaffolding an archive, batch, or reporting procedure
Tips
- →Name the tables and columns involved for a more accurate result.
- →Ask for set-based statements rather than cursors.
- →Always test a procedure against a backup before production.
- →Request a returned status so callers can check success.
FAQ
why insist on an explicit transaction
A procedure that changes several rows or tables must be all-or-nothing. Wrapping the work in a transaction with rollback on error prevents half-applied changes that leave the database in an inconsistent state when something fails partway.
why does dialect matter so much
Each engine has its own procedure syntax — PL/pgSQL, T-SQL, PL/SQL, and MySQL procedures differ in declaration, error handling, and delimiters. Choosing the dialect tells the assistant which forms to use so the output actually compiles.
why prefer set-based logic
Row-by-row cursors are slow and often unnecessary. Asking for set-based statements lets the database engine optimise the work, which is usually far faster and simpler than looping over rows one at a time.
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