Relational schema and MySQL database

1) Relational Schema: -

Relation	Attribute	Data type	length	Key constraints	Referencing table (column)	Null/ not null
location	locationId	INT	-	PK	-	NOT NULL, UNIQUE
streetNo	INT	-	-	-	NOT NULL
streetName	VARCHAR	20	-	-	NOT NULL
suburb	VARCHAR	20	-	-	NOT NULL
stateName	VARCHAR	20	-	-	NOT NULL
postCode	INT	-	-	-	NOT NULL
stores	storeNo	VARCHAR	10	PK	-	NOT NULL, UNIQUE
storeName	VARCHAR	25	-	-	NOT NULL
mobile	VARCHAR	12	-	-	NOT NULL
email	VARCHAR	30	-	-	NOT NULL
faxNo	VARCHAR	10	-	-	NULL
locationId	INT	-	FK	location (locationNo)	NOT NULL
departments	departmentNo	VARCHAR	10	PK	-	NOT NULL, UNIQUE
title	VARCHAR	20	-	-	NOT NULL
mobile	VARCHAR	12	-	-	NOT NULL
email	VARCHAR	30	-	-	NOT NULL
storeDepartment	storeNo	VARCHAR	10	PK, FK	store(storeNo)	NOT NULL
departmentNo	VARCHAR	10	PK, FK	department (departmentNo)	NOT NULL
employee	employeeNo	VARCHAR	10	PK	-	NOT NULL, UNIQUE
storeNo	VARCHAR	10	FK	storeDepartment (storeNo)	NOT NULL
departmentNo	VARCHAR	10	FK	storeDepartment (departmentNo)	NOT NULL
firstName	VARCHAR	20	-	-	NOT NULL
lastName	VARCHAR	20	-	-	NOT NULL
address	VARCHAR	50	-	-	NOT NULL
mobile	VARCHAR	12	-	-	NOT NULL
email	VARCHAR	30	-	-	NOT NULL
tfn	VARCHAR	10	-	-	NULL
joinDate	DATE	-	-	-	NOT NULL
workRole	VARCHAR	10	-	-	NOT NULL
fullTime	employeeNo	VARCHAR	10	PK, FK	employee (employeeNo)	NOT NULL, UNIQUE
annualSalary	DOUBLE	(10,2)	-	-	NOT NULL
casual	employeeNo	VARCHAR	10	PK, FK	employee (employeeNo)	NOT NULL
hourlyRate	DOUBLE	(10, 2)	-	-	NOT NULL
payslips	payslipNo	VARCHAR	10	PK	-	NOT NULL, UNIQUE
totalHours	DOUBLE	(10, 2)	-	-	NOT NULL
grossPay	DOUBLE	(10, 2)	-	-	NOT NULL
employeeNo	VARCHAR	10	FK	employee (employeeNo)	NOT NULL
product	productNo	VARCHAR	10	PK	-	NOT NULL, UNIQUE
productName	VARCHAR	20	-	-	NOT NULL
productType	VARCHAR	20	-	-	NOT NULL
brand	VARCHAR	30	-	-	NOT NULL
price	DOUBLE	(10, 2)	-	-	NOT NULL
description	VARCHAR	200	-	-	NULL
suppliers	supplierNo	VARCHAR	10	PK	-	NOT NULL, UNIQUE
supplierName	VARCHAR	30	-	-	NOT NULL
address	VARCHAR	50	-	-	NOT NULL
mobile	VARCHAR	12	-	-	NOT NULL
email	VARCHAR	30	-	-	NOT NULL
inventory	productNo	VARCHAR	10	PK, FK	product(productNo)	NOT NULL
stotreNo	VARCHAR	10	PK, FK	store(storeNo)	NOT NULL
quantity	DOUBLE	(10, 2)	-	-	NOT NULL
supply	supplyNo	INT	-	PK	-	NOT NULL, UNIQUE
storeNo	VARCHAR	10	FK	inventory (storeNo)	NOT NULL
productNo	VARCHAR	10	FK	inventory (productNo)	NOT NULL
supplierNo	VARCHAR	10	FK	supplier (supplierNo)	NOT NULL
quantity	INT	-	-	-	NOT NULL
supplyDate	DATE	-	-	-	NOT NULL
customers	customerNo	VARCHAR	10	PK	-	NOT NULL, UNIQUE
firstName	VARCHAR	15	-	-	NOT NULL
lastName	VARCHAR	15	-	-	NOT NULL
mobile	VARCHAR	12	-	-	NOT NULL
address	VARCHAR	50	-	-	NOT NULL
orders	orderNo	VARCHAR	10	PK	-	NOT NULL, UNIQUE
customerNo	VARCHAR	10	FK	customer (customerNo)	NOT NULL
orderDate	DATE	-	-	-	NOT NULL
orderItems	orderNo	VARCHAR	10	PK, FK	orders(orderNo)	NOT NULL
productNo	VARCHAR	10	PK, FK	product (productNo)	NOT NULL
quantity	INT	-	-	-	NOT NULL

2) MYSQL database: -

· Database schema: -

Figure 2: database schema

· referential integrity constraints: -

Figure 3: casual

Figure 4: customers

Figure 5: departments

Figure 6:employee

Figure 7:fullTime

Figure 8: inventory

Figure 9: location

Figure 10: orderItems

Figure 11: orders

Figure 12: paySlips

Figure 13: product

Figure 14: supply

Figure 15: stores

Figure 16: storeDepartment

Figure 17: supplier

· structure of each table: -

Describe orderItems;

+-----------+-------------+------+-----+---------+-------+

+-----------+-------------+------+-----+---------+-------+

| quantity | int(11) | NO | | NULL | |

+-----------+-------------+------+-----+---------+-------+

3 rows in set (0.03 sec)

Describe orders;

+------------+-------------+------+-----+---------+-------+

+------------+-------------+------+-----+---------+-------+

+------------+-------------+------+-----+---------+-------+

3 rows in set (0.00 sec)

Describe customers;

+------------+-------------+------+-----+---------+-------+

+------------+-------------+------+-----+---------+-------+

+------------+-------------+------+-----+---------+-------+

5 rows in set (0.00 sec)

Describe supply;

+------------+-------------+------+-----+---------+-------+

+------------+-------------+------+-----+---------+-------+

| supplyNo | int(11) | NO | PRI | NULL | |

| quantity | int(11) | NO | | NULL | |

+------------+-------------+------+-----+---------+-------+

6 rows in set (0.00 sec)

Describe inventory;

+-----------+-------------+------+-----+---------+-------+

+-----------+-------------+------+-----+---------+-------+

| quantity | int(11) | NO | | NULL | |

+-----------+-------------+------+-----+---------+-------+

3 rows in set (0.00 sec)

Describe suppliers;

+--------------+-------------+------+-----+---------+-------+

+--------------+-------------+------+-----+---------+-------+

+--------------+-------------+------+-----+---------+-------+

5 rows in set (0.00 sec)

Describe product;

+-------------+--------------+------+-----+---------+-------+

+-------------+--------------+------+-----+---------+-------+

+-------------+--------------+------+-----+---------+-------+

6 rows in set (0.00 sec)

Describe paySlips;

+------------+--------------+------+-----+---------+-------+

+------------+--------------+------+-----+---------+-------+

+------------+--------------+------+-----+---------+-------+

4 rows in set (0.00 sec)

Describe casual;

+------------+--------------+------+-----+---------+-------+

+------------+--------------+------+-----+---------+-------+

+------------+--------------+------+-----+---------+-------+

2 rows in set (0.00 sec)

Describe fullTime;

+--------------+--------------+------+-----+---------+-------+

+--------------+--------------+------+-----+---------+-------+

+--------------+--------------+------+-----+---------+-------+

2 rows in set (0.00 sec)

Describe employee;

+--------------+-------------+------+-----+---------+-------+

+--------------+-------------+------+-----+---------+-------+

| tfn | varchar(10) | YES | | NULL | |

+--------------+-------------+------+-----+---------+-------+

11 rows in set (0.00 sec)

Describe storeDepartment;

+--------------+-------------+------+-----+---------+-------+

+--------------+-------------+------+-----+---------+-------+

+--------------+-------------+------+-----+---------+-------+

2 rows in set (0.00 sec)

Describe departments;

+--------------+-------------+------+-----+---------+-------+

+--------------+-------------+------+-----+---------+-------+

+--------------+-------------+------+-----+---------+-------+

4 rows in set (0.00 sec)

Describe stores;

+------------+-------------+------+-----+---------+-------+

+------------+-------------+------+-----+---------+-------+

| locationId | int(11) | NO | MUL | NULL | |

+------------+-------------+------+-----+---------+-------+

6 rows in set (0.00 sec)

Describe location;

+------------+-------------+------+-----+---------+-------+

+------------+-------------+------+-----+---------+-------+

| locationId | int(11) | NO | PRI | NULL | |

| streetNo | int(11) | NO | | NULL | |

| postCode | int(11) | NO | | NULL | |

+------------+-------------+------+-----+---------+-------+

6 rows in set (0.00 sec)

3) Insert data into tables: -

SELECT *FROM orderItems;

+---------+-----------+----------+

| orderNo | productNo | quantity |

+---------+-----------+----------+

| 1005 | 1 | 3 |

| 1005 | 2 | 4 |

| 1005 | 3 | 2 |

| 2 | 1 | 4 |

| 2 | 2 | 4 |

| 2 | 3 | 2 |

| 5 | 1 | 3 |

| 5 | 2 | 1 |

| 5 | 3 | 3 |

+---------+-----------+----------+

9 rows in set (0.00 sec)

SELECT *FROM orders;

+---------+------------+------------+

| orderNo | orderDate | customerNo |

+---------+------------+------------+

| 1005 | 2017-07-03 | 1 |

| 2 | 2017-08-04 | 1 |

| 5 | 2017-09-05 | 1 |

| 6 | 2017-10-06 | 2 |

+---------+------------+------------+

4 rows in set (0.00 sec)

SELECT *FROM customers;

+------------+-----------+----------+------------+---------------+

+------------+-----------+----------+------------+---------------+

| 1 | nji | Caan | 6787634521 | nji@gmail.com |

| 2 | mni | Caan | 6787634522 | mni@gmail.com |

| 3 | fgi | Caan | 6787634523 | fgi@gmail.com |

+------------+-----------+----------+------------+---------------+

3 rows in set (0.00 sec)

SELECT *FROM supply;

+----------+---------+-----------+------------+----------+------------+

+----------+---------+-----------+------------+----------+------------+

| 1 | 1 | 1 | 1 | 3 | 2013-01-01 |

| 2 | 1 | 2 | 2 | 2 | 2013-01-02 |

| 3 | 2 | 3 | 3 | 4 | 2013-01-03 |

| 4 | 2 | 1 | 1 | 1 | 2013-01-04 |

+----------+---------+-----------+------------+----------+------------+

4 rows in set (0.03 sec)

SELECT *FROM inventory;

+-----------+---------+----------+

| productNo | storeNo | quantity |

+-----------+---------+----------+

| 1 | 1 | 10 |

| 1 | 2 | 11 |

| 1 | 3 | 10 |

| 2 | 1 | 11 |

| 2 | 3 | 15 |

| 3 | 1 | 13 |

| 3 | 2 | 16 |

+-----------+---------+----------+

7 rows in set (0.04 sec)

SELECT *FROM suppliers;

+------------+--------------+---------+------------+----------------+

+------------+--------------+---------+------------+----------------+

| 1 | bhi | US | 9890987876 | bhi@gmail.com |

| 2 | nki | US | 9890987877 | nki@gmail.com |

| 3 | miko | US | 9890987816 | miko@gmail.com |

+------------+--------------+---------+------------+----------------+

3 rows in set (0.10 sec)

SELECT *FROM product;

+-----------+-------------+-------------+-------+--------+-------------+

+-----------+-------------+-------------+-------+--------+-------------+

| 1 | nini | fashion | dfg | 456.00 | NULL |

| 2 | jkmo | fashion | dfc | 567.00 | NULL |

| 4 | bhnj | fashion | fgv | 76.00 | NULL |

+-----------+-------------+-------------+-------+--------+-------------+

5 rows in set (0.12 sec)

SELECT *FROM paySlips;

+-----------+------------+----------+------------+

+-----------+------------+----------+------------+

| 1 | 45.90 | 744.09 | 1 |

| 2 | 45.87 | 345.67 | 2 |

| 3 | 87.09 | 567.09 | 3 |

+-----------+------------+----------+------------+

3 rows in set (0.04 sec)

SELECT *FROM casual;

+------------+------------+

| employeeNo | hourlyRate |

+------------+------------+

| 10 | 300.00 |

| 11 | 500.00 |

| 12 | 200.00 |

| 7 | 600.00 |

| 8 | 500.00 |

| 9 | 200.00 |

+------------+------------+

6 rows in set (0.02 sec)

SELECT *FROM fullTime;

+------------+--------------+

| employeeNo | annualSalary |

+------------+--------------+

| 1 | 56789678.00 |

| 2 | 56789876.00 |

| 3 | 56789987.00 |

| 4 | 78987688.00 |

| 5 | 56784567.00 |

| 6 | 34567569.00 |

+------------+--------------+

6 rows in set (0.12 sec)

SELECT *FROM employee;

+------------+---------+--------------+-----------+----------+---------+------------+-----------------+---------+------------+------------+

+------------+---------+--------------+-----------+----------+---------+------------+-----------------+---------+------------+------------+

| 1 | 1 | 1 | dfio | Caan | US | 1234323430 | dfio@gmail.com | fd45 | 2015-01-01 | supervisor |

| 10 | 3 | 2 | ert | Caan | US | 1234323439 | ert@gmail.com | t566 | 2015-01-10 | employee |

| 11 | 3 | 3 | rty | Caan | US | 1234323134 | rty@gmail.com | g56 | 2015-01-11 | employee |

| 12 | 3 | 4 | rtyu | Caan | US | 1234322434 | rtyu@gmail.com | 6g5 | 2015-01-12 | employee |

| 2 | 1 | 2 | huio | Caan | US | 1234323431 | huio@gmail.com | dr56 | 2015-01-02 | supervisor |

| 3 | 1 | 3 | rtyu | Caan | US | 1234323432 | rtyu@gmail.com | gh67 | 2015-01-03 | supervisor |

| 4 | 1 | 4 | fghj | Caan | US | 1234323433 | fgghj@gmail.com | gtfr456 | 2015-01-04 | supervisor |

| 5 | 2 | 1 | dfg | Caan | US | 1234323434 | dfg@gmail.com | dgt64 | 2015-01-05 | manager |

| 6 | 2 | 2 | sdf | Caan | US | 1234323435 | sdf5@gmail.com | grr4556 | 2015-01-06 | manager |

| 7 | 2 | 3 | asd | Caan | US | 1234323436 | asd@gmail.com | g355 | 2015-01-07 | manager |

| 8 | 2 | 4 | qwer | Caan | US | 1234323437 | qwer@gmail.com | gr434 | 2015-01-08 | manager |

| 9 | 3 | 1 | wer | Caan | US | 1234323438 | wer@gmail.com | tr45 | 2015-01-09 | employee |

+------------+---------+--------------+-----------+----------+---------+------------+-----------------+---------+------------+------------+

12 rows in set (0.01 sec)

SELECT *FROM storeDepartment;

+---------+--------------+

| storeNo | departmentNo |

+---------+--------------+

| 1 | 1 |

| 2 | 1 |

| 3 | 1 |

| 1 | 2 |

| 2 | 2 |

| 3 | 2 |

| 1 | 3 |

| 2 | 3 |

| 3 | 3 |

| 1 | 4 |

| 2 | 4 |

| 3 | 4 |

+---------+--------------+

12 rows in set (0.04 sec)

SELECT *FROM departments;

+--------------+----------+------------+--------------------+

+--------------+----------+------------+--------------------+

| 1 | HR | 5434543453 | HR789hh@gmail.com |

| 2 | accounts | 5434543455 | ACCtgw@gmail.com |

| 3 | finance | 5434543456 | FM234gju@gmail.com |

| 4 | supply | 5434543457 | SM2rte@gmail.com |

+--------------+----------+------------+--------------------+

4 rows in set (0.13 sec)

SELECT *FROM stores;

+---------+-------------+------------+------------------+-------+------------+

+---------+-------------+------------+------------------+-------+------------+

| 1 | hiyna koko | 1234567890 | hiyna@gmail.com | er45 | 1 |

| 2 | jihono jiji | 1234567891 | jihono@gmail.com | fgv4 | 2 |

| 3 | kio hinop | 1234567892 | kio@gmail.com | gfv56 | 3 |

+---------+-------------+------------+------------------+-------+------------+

3 rows in set (0.11 sec)

SELECT *FROM location;

+------------+----------+---------------+--------+-----------+----------+

+------------+----------+---------------+--------+-----------+----------+

| 1 | 6759 | MKLAS | HJNK | LM | 1234 |

| 2 | 7898 | George | JKML | NM | 1232 |

| 3 | 6709 | George IJKIPO | KML | ML | 6787 |

+------------+----------+---------------+--------+-----------+----------+

3 rows in set (0.03 sec)

Part D: SQL: -

Question 1:

SQL:

SELECT CONCAT(firstName,' ',lastName) AS "customers full name", mobile, address

FROM customers

ORDER BY customerNo;

Output:

+---------------------+------------+---------------+

| customers full name | mobile | address |

+---------------------+------------+---------------+

| nji Caan | 6787634521 | nji@gmail.com |

| mni Caan | 6787634522 | mni@gmail.com |

| fgi Caan | 6787634523 | fgi@gmail.com |

+---------------------+------------+---------------+

3 rows in set (0.00 sec)

Question 2:

SQL:

SELECT *FROM product

WHERE price<100;

Output:

+-----------+-------------+-------------+-------+-------+-------------+

+-----------+-------------+-------------+-------+-------+-------------+

| 4 | bhnj | fashion | fgv | 76.00 | NULL |

+-----------+-------------+-------------+-------+-------+-------------+

2 rows in set (0.00 sec)

Question 3:

SQL:

SELECT product.productNo, product.brand as title, orderItems.quantity,

product.price, (product.price*orderItems.quantity) AS "total amount"

FROM product INNER JOIN orderItems ON product.productNo=orderItems.productNo

INNER JOIN orders ON orders.orderNo=orderItems.orderNo

WHERE orders.orderNo='1005';

Output:

+-----------+-------+----------+--------+--------------+

+-----------+-------+----------+--------+--------------+

| 1 | dfg | 3 | 456.00 | 1368.00 |

| 2 | dfc | 4 | 567.00 | 2268.00 |

| 3 | ertg | 2 | 56.00 | 112.00 |

+-----------+-------+----------+--------+--------------+

3 rows in set (0.00 sec)

Question 4:

SQL:

SELECT stores.storesName,

CONCAT(location.streetNo,' ',location.streetName,' ',location.suburb,

' ',location.statename,' ',location.postcode) as "Full address",

stores.faxNo

FROM stores INNER JOIN location ON stores.locationId=location.locationId

WHERE LOWER(location.streetName) LIKE'%george%';

Output:

+-------------+--------------------------------+-------+

| storesName | Full address | faxNo |

+-------------+--------------------------------+-------+

| jihono jiji | 7898 George JKML NM 1232 | fgv4 |

| kio hinop | 6709 George IJKIPO KML ML 6787 | gfv56 |

+-------------+--------------------------------+-------+

2 rows in set (0.00 sec)

Question 5:

SQL:

SELECT *FROM orders WHERE orderNo IN

(SELECT orderNo FROM (SELECT orderNo, COUNT(productNo) FROM orderItems

GROUP BY orderNo

HAVING COUNT(productNo)>1) A);

Output:

+---------+------------+------------+

| orderNo | orderDate | customerNo |

+---------+------------+------------+

| 1005 | 2017-07-03 | 1 |

| 2 | 2017-08-04 | 1 |

| 5 | 2017-09-05 | 1 |

+---------+------------+------------+

3 rows in set (0.00 sec)

Question 6:

SQL:

SELECT customerNo, CONCAT(firstName,' ',lastName) AS customersName, address

FROM customers

WHERE customerNo NOT IN (SELECT customerNo FROM orders);

Output:

+------------+---------------+---------------+

| customerNo | customersName | address |

+------------+---------------+---------------+

| 3 | fgi Caan | fgi@gmail.com |

+------------+---------------+---------------+

1 row in set (0.03 sec)

Question 7:

SQL:

SELECT employee.employeeNo, employee.firstName,employee.lastName,

departments.title as deptName, stores.storesName

FROM employee, departments, stores, storedepartment

WHERE employee.storeNo=storedepartment.storeNo

AND employee.departmentNo=storedepartment.departmentNo

AND stores.storeNo=storedepartment.storeNo

AND departments.departmentNo=storedepartment.departmentNo;

Output:

+------------+-----------+----------+----------+-------------+

+------------+-----------+----------+----------+-------------+

| 5 | dfg | Caan | HR | jihono jiji |

| 9 | wer | Caan | HR | kio hinop |

+------------+-----------+----------+----------+-------------+

12 rows in set (0.09 sec)

Question 8:

SQL:

SELECT stores.storesName, COUNT(employee.employeeNo) AS "number of employees"

FROM employee, departments, stores, storedepartment

WHERE employee.storeNo=storedepartment.storeNo

AND employee.departmentNo=storedepartment.departmentNo

AND stores.storeNo=storedepartment.storeNo

AND departments.departmentNo=storedepartment.departmentNo

AND departments.title LIKE '%account%'

GROUP BY stores.storesName;

Output:

+-------------+---------------------+

| storesName | number of employees |

+-------------+---------------------+

| hiyna koko | 1 |

| jihono jiji | 1 |

| kio hinop | 1 |

+-------------+---------------------+

3 rows in set (0.03 sec)

Question 9:

SQL:

SELECT *FROM orders

WHERE orderDate BETWEEN '2017-06-03' AND '2018-07-01';

Output:

+---------+------------+------------+

| orderNo | orderDate | customerNo |

+---------+------------+------------+

| 1005 | 2017-07-03 | 1 |

| 2 | 2017-08-04 | 1 |

| 5 | 2017-09-05 | 1 |

| 6 | 2017-10-06 | 2 |

+---------+------------+------------+

4 rows in set (0.00 sec)

Question 10:

SQL:

SELECT customers.customerNo, COUNT(orders.orderNo) AS "total orders"

FROM customers LEFT JOIN orders ON customers.customerNo=orders.customerNo

GROUP BY customers.customerNo;

Output:

+------------+--------------+

| customerNo | total orders |

+------------+--------------+

| 1 | 3 |

| 2 | 1 |

| 3 | 0 |

+------------+--------------+

3 rows in set (0.00 sec)

Question 11:

SQL:

SELECT orders.orderNo, orders.orderDate, SUM(quantity) AS "total number of products"

FROM orders, orderItems

WHERE orders.orderNo=orderItems.orderNo

GROUP BY orders.orderNo, orders.orderDate

ORDER BY orders.orderNo DESC;

Output:

+---------+------------+--------------------------+

| orderNo | orderDate | total number of products |

+---------+------------+--------------------------+

| 5 | 2017-09-05 | 7 |

| 2 | 2017-08-04 | 10 |

| 1005 | 2017-07-03 | 9 |

+---------+------------+--------------------------+

3 rows in set (0.00 sec)

Part E: Personal Report –

While working on this assignment, we learnt a lot of new things. The first phase of the assignment was requirement gathering and analysis. We went through all the requirements provided to us in the requirements file and then analysed these requirements. After analysing the requirements, we prepared our Entity Relationship Diagram (ERD). We had made sure that the ERD prepared by us is covering all the requirements and it is prepared as per the requirements file only.

While working on the assignment, we faced several issues. We were stuck while preparing the ERD but after spending some time on the analysis part, we were finally able to complete the ERD. Also, we faced issues while identifying the primary keys in some of the tables. So, we have added surrogate keys in some of the tables as per our understanding. We also faced some issues while working on the queries and we couldn’t get them right in the first go. But, after spending some time and going through various online resources, we were finally able to get the correct result for all the queries.

Our database design is fully normalised and extendable. Any new requirements which may come in the future can easily be integrated into our database.

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