Week 83 - SQL & Query Techniques

You are tasked with optimizing a query in Snowflake that extracts information from a table called sales_data. The sales_data table contains information about sales transactions, including columns like product_id, quantity_sold, price, and transaction_date.

Your goal? Retrieving the top 10 products with the highest total revenue, where the total revenue is calculated as the sum of the product of quantity_sold and price for each transaction.

Hint: In a SELECT statement, the QUALIFY clause filters the results of window functions.

-- Create sales_data tableCREATE TABLE sales_data (product_id INT,quantity_sold INT,price DECIMAL(10,2),transaction_date DATE);-- Insert sample valuesINSERT INTO sales_data (product_id, quantity_sold, price, transaction_date)VALUES(1, 10, 15.99, '2024-02-01'),(1, 8, 15.99, '2024-02-05'),(2, 15, 22.50, '2024-02-02'),(2, 20, 22.50, '2024-02-07'),(3, 12, 10.75, '2024-02-03'),(3, 18, 10.75, '2024-02-08'),(4, 5, 30.25, '2024-02-04'),(4, 10, 30.25, '2024-02-09'),(5, 25, 18.50, '2024-02-06'),(5, 30, 18.50, '2024-02-10');

Be sure to share your coded answers in the comments!

Thank you so much for the great advice Can Höbek! Your contribution was very helpful, how would I do without you.

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