❓ Frequently Asked Questions
▶ What is an AI SQL Query Generator?
It's a tool that converts natural language descriptions into SQL queries. Instead of remembering complex syntax, you describe what you want in English, and the AI suggests the appropriate SQL code.
▶ How accurate is the generated SQL?
The AI provides a strong starting point based on your description. For complex queries, you may need to refine the description or manually adjust the generated SQL. Always test on a development database first.
▶ What SQL dialects are supported?
The generator focuses on standard SQL syntax compatible with MySQL, PostgreSQL, SQLite, and others. For database-specific functions, mention the database type in your description (e.g., "using PostgreSQL").
▶ Can I generate INSERT, UPDATE, DELETE queries?
Yes! Describe the operation clearly. For example: "Insert a new user with name John and email john@example.com" or "Update all products to increase price by 10%". Always include conditions for UPDATE/DELETE.
▶ What do the different SQL keywords mean?
SELECT: retrieves data. FROM: specifies the table. WHERE: filters rows. JOIN: combines tables. GROUP BY: groups rows. ORDER BY: sorts results. The explanation box helps you understand each generated part.
▶ Why do I need to specify table names?
Table names are essential for accurate SQL. If you don't specify, the AI will use placeholders like "table_name". Including table names (e.g., "from the users table") makes the query ready to use.
▶ How can I improve the generated query?
Be specific about columns, conditions, and joins. Instead of "show orders", say "show order id, date, and total for completed orders from last week". More detail yields better SQL.
▶ What are common mistakes?
Forgetting to specify tables, ambiguous conditions, or missing JOIN criteria. The AI tries to infer, but clear descriptions prevent errors. Always review WHERE clauses before running on production data.