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95 changes: 94 additions & 1 deletion 2-exercises/task.md
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Expand Up@@ -35,16 +35,109 @@ Open the file `cyf_ecommerce.sql` in VSCode and examine the SQL code. Take a pie
Once you understand the database that you are going to work with, solve the following challenge by writing SQL queries using everything you learned about SQL:

1. Retrieve all the customers' names and addresses who live in the United States
SELECT name, address FROM customers WHERE country = 'United States';

2. Retrieve all the customers in ascending name sequence
SELECT * FROM customers ORDER BY name ASC;

3. Retrieve all the products whose name contains the word `socks`
SELECT * FROM products WHERE lower(product_name) LIKE '%socks%';

4. Retrieve all the products which cost more than 100 showing product id, name, unit price and supplier id.
SELECT products.id, products.product_name, product_availability.unit_price, product_availability.supp_id
FROM products
INNER JOIN product_availability
ON (products.id = product_availability.prod_id)
WHERE product_availability.unit_price > 100;

5. Retrieve the 5 most expensive products
SELECT products.id, products.product_name, product_availability.unit_price
FROM products
INNER JOIN product_availability
ON (products.id = product_availability.prod_id)
ORDER BY product_availability.unit_price DESC
LIMIT 5;

6. Retrieve all the products with their corresponding suppliers. The result should only contain the columns `product_name`, `unit_price` and `supplier_name`
SELECT products.product_name, product_availability.unit_price, suppliers.supplier_name
FROM products
INNER JOIN product_availability
ON products.id = product_availability.prod_id
INNER JOIN suppliers
ON product_availability.supp_id = suppliers.id;

7. Retrieve all the products sold by suppliers based in the United Kingdom. The result should only contain the columns `product_name` and `supplier_name`.
SELECT products.product_name, suppliers.supplier_name
FROM products
INNER JOIN product_availability
ON products.id = product_availability.prod_id
INNER JOIN suppliers
ON product_availability.supp_id = suppliers.id AND suppliers.country = 'United Kingdom';


8. Retrieve all orders, including order items, from customer ID `1`. Include order id, reference, date and total cost (calculated as quantity * unit price).
SELECT orders.id, orders.order_reference, orders.order_date, order_items.quantity * product_availability.unit_price AS total_cost
FROM orders
INNER JOIN order_items
ON orders.id = order_items.order_id
INNER JOIN product_availability
ON order_items.product_id = product_availability.prod_id
WHERE orders.customer_id = 1;

9. Retrieve all orders, including order items, from customer named `Hope Crosby`
SELECT orders.id, orders.order_reference, orders.order_date, order_items.quantity * product_availability.unit_price AS total_cost
FROM customers
INNER JOIN orders
ON customers.id = orders.customer_id
INNER JOIN order_items
ON orders.id = order_items.order_id
INNER JOIN product_availability
ON order_items.product_id = product_availability.prod_id
WHERE customers.name = 'Hope Crosby';

10. Retrieve all the products in the order `ORD006`. The result should only contain the columns `product_name`, `unit_price` and `quantity`.
SELECT products.product_name, product_availability.unit_price, order_items.quantity
FROM orders
INNER JOIN order_items
ON orders.id = order_items.order_id
INNER JOIN products
ON order_items.product_id = products.id
INNER JOIN product_availability
ON order_items.product_id = product_availability.prod_id
WHERE orders.order_reference = 'ORD006';

11. Retrieve all the products with their supplier for all orders of all customers. The result should only contain the columns `name` (from customer), `order_reference`, `order_date`, `product_name`, `supplier_name` and `quantity`.
SELECT customers.name, orders.order_reference, orders.order_date, products.product_name, suppliers.supplier_name, order_items.quantity
FROM customers
INNER JOIN orders
ON orders.customer_id = customers.id
INNER JOIN order_items
ON orders.id = order_items.order_id
INNER JOIN product_availability
ON product_availability.prod_id = order_items.product_id
INNER JOIN products
ON products.id = product_availability.prod_id
INNER JOIN suppliers
ON suppliers.id = product_availability.supp_id;

12. Retrieve the names of all customers who bought a product from a supplier based in China.
13. List all orders giving customer name, order reference, order date and order total amount (quantity * unit price) in descending order of total.
SELECT customers.name
FROM orders
INNER JOIN customers
ON orders.customer_id = customers.id
INNER JOIN order_items
ON orders.id = order_items.order_id
INNER JOIN suppliers
ON order_items.supplier_id = suppliers.id AND suppliers.country = 'China'
GROUP by customers.name;

13. List all orders giving customer name, order reference, order date and order total amount (quantity * unit price) in descending order of total.
SELECT customers.name, orders.order_reference, orders.order_date, order_items.quantity * product_availability.unit_price AS total
FROM orders
INNER JOIN customers
ON orders.customer_id = customers.id
INNER JOIN order_items
ON orders.id = order_items.order_id
INNER JOIN product_availability
ON order_items.product_id = product_availability.prod_id
ORDER BY total DESC;
1 change: 1 addition & 0 deletions 3-projects/.gitignore
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/node_modules
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