Ever feel stuck when reports demand complex SQL queries? Here’s the perfect solution: combining classic SQL skills with the power of AI assistants like ChatGPT and Gemini. AI tools are here to bridge that gap and help you confidently write those queries. Let’s explore 15 examples of using ChatGPT for SQL!
Let’s use a simple e-commerce scenario as an example. Suppose we have the following tables in our database:
- customers: Contains information about customers.
- Columns: id (customer ID), name, email, city, phone
- orders: Contains information about orders made by customers.
- Columns: order_id, customer_id (foreign key referencing customers.id), order_amount, order_date
In this scenario, we want to perform various SQL operations to manage and analyze data related to customers and their orders.
Customers Table:
Orders Table:
Sample Data:
INSERT INTO customers (id, name, email, city, phone)VALUES (1, 'Alice', '[email protected]', 'New York', '123-456-7890'), (2, 'Bob', '[email protected]', 'Los Angeles', '987-654-3210'), (3, 'Charlie', NULL, 'Chicago', '555-555-5555'); ...