$30.00
Description
Exercises

Write a SELECT statement that returns these columns: The count of the number of orders in the Orders table The sum of the tax_amount columns in the Orders table

Write a SELECT statement that returns one row for each category that has products with these columns:

Write a SELECT statement that returns one row for each customer that has orders with these columns:
The email_address column from the Customers table
The sum of the item price in the Order_Items table multiplied by the quantity in the Order_Items table
The sum of the discount amount column in the Order_Items table multiplied by the quantity in the Order_Items table
Sort the result set in descending sequence by the item price total for each customer.

Write a SELECT statement that returns one row for each customer that has orders with these columns:
The email_address from the Customers table
A count of the number of orders
The total amount for each order (Hint: First, subtract the discount amount from the price. Then, multiply by the quantity.)
Return only those rows where the customer has more than 1 order.
Sort the result set in descending sequence by the sum of the line item amounts.

Modify the solution to exercise 4 so it only counts and totals line items that have an item_price value that’s greater than 400.

Write a SELECT statement that answers this question: What is the total amount ordered for each product? Return these columns:
The product name from the Products table
The total amount for each product in the Order_Items (Hint: You can calculate the total amount by subtracting the discount amount from the item price and then multiplying it by the quantity)
Use the WITH ROLLUP operator to include a row that gives the grand total.
Note: Once you add the WITH ROLLUP operator, you may need to use MySQL Workbench’s Execute SQL Script button instead of its Execute Current Statement button to execute this statement.

Write a SELECT statement that answers this question: Which customers have ordered more than one product? Return these columns:
The email address from the Customers table
The count of distinct products from the customer’s orders