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NW5 - Manchester - Mohammed Alhallaq - SQL - week 2 #202

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NW5 - Manchester - Mohammed Alhallaq - SQL - week 2 #202

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135 changes: 133 additions & 2 deletions 2-exercises/task.md
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Expand Up @@ -7,6 +7,7 @@ In this homework, you are going to work with an ecommerce database. In this data
Below you will find a set of tasks for you to complete to set up a database for an e-commerce app.

To submit this homework write the correct commands for each question here:

```sql


Expand Down Expand Up @@ -35,16 +36,146 @@ 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

```sql
SELECT name, address
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Ah, you decided to capitalise between Weeks 1 and 2 :) Nice!

FROM customers
WHERE country = 'United States';
```

2. Retrieve all the customers in ascending name sequence

```sql
SELECT *
FROM customers
ORDER BY name ASC;
```

3. Retrieve all the products whose name contains the word `socks`

```sql
SELECT *
FROM products
WHERE product_name LIKE '%socks%';
```

4. Retrieve all the products which cost more than 100 showing product id, name, unit price and supplier id.

```sql
SELECT p.id, p.product_name, pa.unit_price, pa.supp_id
FROM products p
INNER JOIN product_availability pa
ON p.id = pa.prod_id
WHERE pa.unit_price > 100;
```

5. Retrieve the 5 most expensive products

```sql
SELECT p.id, p.product_name, pa.unit_price, pa.supp_id
FROM products p
INNER JOIN product_availability pa
ON p.id = pa.prod_id
ORDER BY pa.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`

```sql
SELECT p.product_name, pa.unit_price, s.supplier_name
FROM products p
INNER JOIN product_availability pa ON p.id = pa.prod_id
INNER JOIN suppliers s ON s.id = pa.supp_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`.
8. Retrieve all orders, including order items, from customer ID `1`. Include order id, reference, date and total cost (calculated as quantity * unit price).

```sql
SELECT p.product_name, s.supplier_name
FROM products p
INNER JOIN product_availability pa ON p.id = pa.prod_id
INNER JOIN suppliers s ON s.id = pa.supp_id
WHERE s.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).

```sql
SELECT o.id AS order_id, o.order_reference, o.order_date,
SUM(oi.quantity * pa.unit_price) AS total_cost
FROM orders o
INNER JOIN order_items oi ON o.id = oi.order_id
INNER JOIN product_availability pa ON oi.product_id = pa.prod_id AND oi.supplier_id = pa.supp_id
WHERE o.customer_id = 1
GROUP BY o.id, o.order_reference, o.order_date;

```

9. Retrieve all orders, including order items, from customer named `Hope Crosby`

```sql
SELECT o.id AS order_id, o.order_reference, o.order_date,
c.name AS customer_name, p.product_name,
oi.quantity, pa.unit_price, s.supplier_name
FROM orders o
INNER JOIN customers c ON o.customer_id = c.id
INNER JOIN order_items oi ON o.id = oi.order_id
INNER JOIN product_availability pa ON oi.product_id = pa.prod_id AND oi.supplier_id = pa.supp_id
INNER JOIN products p ON oi.product_id = p.id
INNER JOIN suppliers s ON oi.supplier_id = s.id
WHERE c.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`.

```sql
SELECT p.product_name, pa.unit_price, oi.quantity
FROM orders o
INNER JOIN order_items oi ON o.id = oi.order_id
INNER JOIN products p ON oi.product_id = p.id
INNER JOIN product_availability pa ON oi.product_id = pa.prod_id AND oi.supplier_id = pa.supp_id
WHERE o.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`.

```sql
SELECT c.name, o.order_reference, o.order_date, p.product_name, s.supplier_name, oi.quantity
FROM customers c
INNER JOIN orders o ON c.id = o.customer_id
INNER JOIN order_items oi ON o.id = oi.order_id
INNER JOIN product_availability pa ON oi.product_id = pa.prod_id AND oi.supplier_id = pa.supp_id
INNER JOIN products p ON oi.product_id = p.id
INNER JOIN suppliers s ON oi.supplier_id = s.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.

```sql
SELECT DISTINCT c.name
FROM customers c
INNER JOIN orders o ON c.id = o.customer_id
INNER JOIN order_items oi ON o.id = oi.order_id
INNER JOIN product_availability pa ON oi.product_id = pa.prod_id AND oi.supplier_id = pa.supp_id
INNER JOIN suppliers s ON oi.supplier_id = s.id
WHERE s.country = 'China';

```

13. List all orders giving customer name, order reference, order date and order total amount (quantity \* unit price) in descending order of total.

```sql
SELECT c.name AS customer_name, o.order_reference, o.order_date, SUM(oi.quantity * pa.unit_price) AS order_total
FROM customers c
INNER JOIN orders o ON c.id = o.customer_id
INNER JOIN order_items oi ON o.id = oi.order_id
INNER JOIN product_availability pa ON oi.product_id = pa.prod_id AND oi.supplier_id = pa.supp_id
GROUP BY c.name, o.id
ORDER BY order_total DESC;


```
123 changes: 123 additions & 0 deletions cyf_ecommerce.sql
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@@ -0,0 +1,123 @@
drop table if exists order_items;
drop table if exists orders cascade;
DROP TABLE IF EXISTS product_availability cascade;
drop table if exists customers cascade;
drop table if exists products cascade;
drop table if exists suppliers cascade;

CREATE TABLE customers (
id SERIAL PRIMARY KEY,
name VARCHAR(50) NOT NULL,
address VARCHAR(120),
city VARCHAR(30),
country VARCHAR(20)
);

CREATE TABLE suppliers (
id SERIAL PRIMARY KEY,
supplier_name VARCHAR(100) NOT NULL,
country VARCHAR(20) NOT NULL
);

CREATE TABLE products (
id SERIAL PRIMARY KEY,
product_name VARCHAR(100) NOT NULL
);

create table product_availability (
prod_id integer references products(id),
supp_id integer references suppliers(id),
unit_price integer not null,
primary key (prod_id, supp_id)
);

CREATE TABLE orders (
id SERIAL PRIMARY KEY,
order_date DATE NOT NULL,
order_reference VARCHAR(10) NOT NULL,
customer_id INT REFERENCES customers(id)
);

CREATE TABLE order_items (
id SERIAL PRIMARY KEY,
order_id INT NOT NULL REFERENCES orders(id),
product_id INT NOT NULL,
supplier_id INT NOT NULL,
quantity INT NOT NULL,
FOREIGN KEY (product_id, supplier_id)
REFERENCES product_availability (prod_id, supp_id)
);

INSERT INTO customers (name, address, city, country) VALUES ('Guy Crawford','770-2839 Ligula Road','Paris','France');
INSERT INTO customers (name, address, city, country) VALUES ('Hope Crosby','P.O. Box 276, 4976 Sit Rd.','Steyr','United Kingdom');
INSERT INTO customers (name, address, city, country) VALUES ('Britanney Kirkland','P.O. Box 577, 5601 Sem, St.','Little Rock','United Kingdom');
INSERT INTO customers (name, address, city, country) VALUES ('Amber Tran','6967 Ac Road','Villafranca Asti','United States');
INSERT INTO customers (name, address, city, country) VALUES ('Edan Higgins','Ap #840-3255 Tincidunt St.','Arles','United States');
INSERT INTO customers (name, address, city, country) VALUES ('Quintessa Austin','597-2737 Nunc Rd.','Saint-Marc','United Kingdom');

INSERT INTO suppliers (supplier_name, country) VALUES ('Amazon', 'United States');
INSERT INTO suppliers (supplier_name, country) VALUES ('Taobao', 'China');
INSERT INTO suppliers (supplier_name, country) VALUES ('Argos', 'United Kingdom');
INSERT INTO suppliers (supplier_name, country) VALUES ('Sainsburys', 'United Kingdom');


INSERT INTO products (product_name) VALUES ('Mobile Phone X');
INSERT INTO products (product_name) VALUES ('Javascript Book');
INSERT INTO products (product_name) VALUES ('Le Petit Prince');
INSERT INTO products (product_name) VALUES ('Super warm socks');
INSERT INTO products (product_name) VALUES ('Coffee Cup');
INSERT INTO products (product_name) VALUES ('Ball');
INSERT INTO products (product_name) VALUES ('Tee Shirt Olympic Games');

INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (1, 4, 249);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (1, 1, 299);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (2, 2, 41);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (2, 3, 39);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (2, 1, 40);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (3, 4, 10);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (3, 1, 10);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (4, 4, 10);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (4, 3, 8);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (4, 2, 5);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (4, 1, 10);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (5, 4, 5);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (5, 3, 4);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (5, 2, 4);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (5, 1, 3);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (6, 2, 20);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (6, 4, 15);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (6, 1, 14);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (7, 3, 21);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (7, 2, 18);
INSERT INTO product_availability (prod_id, supp_id, unit_price) VALUES (7, 1, 20);

INSERT INTO orders (order_date, order_reference, customer_id) VALUES ('2019-06-01', 'ORD001', 1);
INSERT INTO orders (order_date, order_reference, customer_id) VALUES ('2019-07-15', 'ORD002', 1);
INSERT INTO orders (order_date, order_reference, customer_id) VALUES ('2019-07-11', 'ORD003', 1);
INSERT INTO orders (order_date, order_reference, customer_id) VALUES ('2019-05-24', 'ORD004', 2);
INSERT INTO orders (order_date, order_reference, customer_id) VALUES ('2019-05-30', 'ORD005', 3);
INSERT INTO orders (order_date, order_reference, customer_id) VALUES ('2019-07-05', 'ORD006', 4);
INSERT INTO orders (order_date, order_reference, customer_id) VALUES ('2019-04-05', 'ORD007', 4);
INSERT INTO orders (order_date, order_reference, customer_id) VALUES ('2019-07-23', 'ORD008', 5);
INSERT INTO orders (order_date, order_reference, customer_id) VALUES ('2019-07-24', 'ORD009', 5);
INSERT INTO orders (order_date, order_reference, customer_id) VALUES ('2019-05-10', 'ORD010', 5);

INSERT INTO order_items VALUES (1, 1, 7, 2, 1);
INSERT INTO order_items VALUES (2, 1, 4, 2, 5);
INSERT INTO order_items VALUES (3, 2, 4, 3, 4);
INSERT INTO order_items VALUES (4, 2, 3, 4, 1);
INSERT INTO order_items VALUES (5, 3, 5, 3, 10);
INSERT INTO order_items VALUES (6, 3, 6, 2, 2);
INSERT INTO order_items VALUES (7, 4, 1, 1, 1);
INSERT INTO order_items VALUES (8, 5, 2, 3, 2);
INSERT INTO order_items VALUES (9, 5, 3, 1, 1);
INSERT INTO order_items VALUES (10, 6, 5, 2, 3);
INSERT INTO order_items VALUES (11, 6, 2, 2, 1);
INSERT INTO order_items VALUES (12, 6, 3, 4, 1);
INSERT INTO order_items VALUES (13, 6, 4, 4, 3);
INSERT INTO order_items VALUES (14, 7, 4, 3, 15);
INSERT INTO order_items VALUES (15, 8, 7, 1, 1);
INSERT INTO order_items VALUES (16, 8, 1, 4, 1);
INSERT INTO order_items VALUES (17, 9, 6, 4, 2);
INSERT INTO order_items VALUES (18, 10, 6, 2, 1);
INSERT INTO order_items VALUES (19, 10, 4, 1, 5);