Question
This Is based on Murach's MySQL 3rd edition with the my_guitar_shop databases I need help writing the SQL queries Write a SELECT statement that answers
This Is based on Murach's MySQL 3rd edition with the my_guitar_shop databases
I need help writing the SQL queries
- Write a SELECT statement that answers this question: What is the total quantity purchased for each product within each category? Return these columns:
The category_name column from the category table
The product_name column from the products table
The total quantity purchased for each product with orders in the Order_Items table
Use the WITH ROLLUP operator to include rows that give a summary for each category name as well as a row that gives the grand total.
Use the IF and GROUPING functions to replace null values in the category_name and product_name columns with literal values if theyre for summary rows.
- Write a SELECT statement that uses an aggregate window function to get the total amount of each order. Return these columns:
The order_id column from the Order_Items table
The total amount for each order item in the Order_Items table (Hint: You can calculate the total amount by subtracting the discount amount from the item price and then multiplying it by the quantity)
The total amount for each order
Sort the result set in ascending sequence by the order_id column.
- Modify the solution to exercise 9 so the column that contains the total amount for each order contains a cumulative total by item amount.
Add another column to the SELECT statement that uses an aggregate window function to get the average item amount for each order.
Modify the SELECT statement so it uses a named window for the two aggregate functions.
- Write a SELECT statement that uses aggregate window functions to calculate the order total for each customer and the order total for each customer by date. Return these columns:
The customer_id column from the Orders table
The order_date column from the Orders table
The total amount for each order item in the Order_Items table
The sum of the order totals for each customer
The sum of the order totals for each customer by date (Hint: You can create a peer group to get these values)
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