In my previous article, I shared my experience with ChatGPT and described how I was able to generate working SQL queries using the tool. If you missed it, you could read the article to learn more about my journey exploring ChatGPT.
In today’s article I want to show you how you can get more advanced SQL Queries. I will also show you the proof that it works great with a real-world example.
What I also want to highlight is that as long as you ask the right questions, you will be able to get a fully working SQL Query from ChatGPT.
Starting Slow: Joining Two Tables
I wanted to see how it can process the question and if ChatGPT is able to give me a valid SQL statement.
Question 1: I have two tables AP_INVOICES and AP_INVOICE_LINES. The tables are connected using a common column called INVOICE_ID. Write a SQL Script to get INVOICE_NUM and SUPPLIER_NUM from AP_INVOICES table, and Sum of INVOICE_LINE_AMOUNT from AP_INVOICE_LINES table.
And here is the result from ChatGPT
SELECT i.INVOICE_NUM, i.SUPPLIER_NUM, SUM(l.INVOICE_LINE_AMOUNT)
FROM AP_INVOICES i
JOIN AP_INVOICE_LINES l ON i.INVOICE_ID = l.INVOICE_ID
GROUP BY i.INVOICE_NUM, i.SUPPLIER_NUM;
