A Developer's Guide to the AI SQL Data Generator

The AI SQL Data Generator is a powerful tool designed to populate your database with realistic-looking test data. Simply provide your CREATE TABLE schema, and the AI will generate INSERT statements with fake yet plausible data that respects your table's structure.

Features

• Schema-Aware Generation: The AI analyzes your CREATE TABLE statements, understanding column names, data types (VARCHAR, INT, TIMESTAMP, etc.), and constraints.
• Realistic Data: Generates contextually appropriate fake data. It will create plausible names for a name column, fake emails for an email column, and sensible dates for a timestamp column.
• Referential Integrity: The AI is smart enough to understand foreign key relationships. For example, if you have a posts table with an author_id that references the users table, it will generate author_id values that correspond to the ids it generated for the users table.
• Multi-Dialect Support: Generate INSERT statements with syntax appropriate for PostgreSQL, MySQL, SQLite, and more.
• Bulk Generation: Specify how many rows of data you want to create for each table.

How to Use

1. Provide Your Schema: Paste one or more CREATE TABLE statements into the "Database Schema" editor. Include any FOREIGN KEY constraints so the AI can understand the relationships.
2. Set Row Count & Dialect:
   • Enter the Number of Rows you want to generate for each table.
   • Select your target SQL Dialect.
3. Generate: Click the "Generate Data" button.
4. Review and Use:
   • The AI will provide a brief explanation of the data it created and any assumptions it made.
   • The "Generated INSERT Script" editor will contain the full SQL script. You can copy this script and run it directly against your test database.