Difference between revisions of "DD Class6"

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(Relationships)
(Normalization)
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Not Following First Normal Form
 
Not Following First Normal Form
  
 +
[[Data Relationships]]
  
 
Blog1
 
Blog1
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http://home.earthlink.net/~billkent/Doc/simple5.htm.
 
http://home.earthlink.net/~billkent/Doc/simple5.htm.
 
 
  
 
==Views==
 
==Views==

Revision as of 04:10, 1 March 2007


Primary Keys

The candidate key selected as being most important for identifying a body of information (an entity, object or record).

Normalization

Definition from foldoc

First Normal

Form eliminates repeating groups by putting each into a separate table and connecting them with a one-to-many relationship.

Not Following First Normal Form

Data Relationships

Blog1

BlogID BlogText recCreationDate Mood
1 Blog1 03/30/03 Happy
2 Blog2 03/30/03 Happy
3 Blog3 03/30/03 Sad
4 Blog4 03/30/03 Happy
5 Blog4 03/30/03 Mad

Tables that Follow First normal form

Blog2

BlogID BlogText recCreationDate MoodID
1 Blog1 03/30/03 1
2 Blog2 03/30/03 1
3 Blog3 03/30/03 2
4 Blog4 03/30/03 1
5 Blog4 03/30/03 3

Mood

MoodID MoodName
1 Happy
2 Sad
3 Mad
4 Afraid

Second Normal Form

Second Normal Form eliminates functional dependencies on a partial key by putting the fields in a separate table from those that are dependent on the whole key. Must be in first normal form. Not Normal

CustNum FirstName LastName Address City State ZIP
1 John Doe 12 Main Street Sea Cliff NY 11579
2 Alan Johnson 82 Evergreen Tr Sea Cliff NY 11579
3 Beth Thompson 1912 NE 1st St Miami FL 33157
4 Jacob Smith 142 Irish Way South Bend IN 46637
5 Sue Ryan 412 NE 1st St Miami FL 33157


Normal

ZIP City State
11579 Sea Cliff NY
33157 Miami FL
46637 South Bend IN


CustNum FirstName LastName Address ZIP
1 John Doe 12 Main Street 11579
2 Alan Johnson 82 Evergreen Tr 11579
3 Beth Thompson 1912 NE 1st St 33157
4 Jacob Smith 142 Irish Way 46637
5 Sue Ryan 412 NE 1st St 33157

Third Normal Form

Third Normal Form eliminates functional dependencies on non-key fields by putting them in a separate table. At this stage, all non-key fields are dependent on the key, the whole key and nothing but the key. Must be in second normal form.

Not normal

Company City State ZIP
Acme Widgets New York NY 10169
ABC Corporation Miami FL 33196
XYZ, Inc. Columbia MD 21046

Normal

KompanyID KompanyName Zip
1 Acme Widgets 10169
2 ABC Corporation 33196
3 XYZ, Inc. 21046


Zip CityID
10169 1
33196 2
21046 3


CityID City
1 New York
2 Miami
3 Columbia


StateID State
1 NY
2 FL
3 MD

Fourth Normal Form

Fourth Normal Form

separates independent multi-valued facts stored in one table into separate tables.

Fifth Normal Form

Fifth Normal Form

breaks out data redundancy that is not covered by any of the previous normal forms.

http://home.earthlink.net/~billkent/Doc/simple5.htm.

Views

UserTest

UserID UserName LastLogon
1 jmeyers 3/30/03
2 bgates 4/1/03
3 sjobs 4/2/03
4 ltorvalds 4/3/03


EmailTest

EmailID UserID EmailAddress Active displayEmail
1 1 jeff@interactive.colum.edu 1 0
2 1 only_a_test@hotmail.com 0 0
3 2 bgates@microsoft.com 1 0

[INNER] JOIN

The INNER JOIN returns all rows from both tables where there is a match. If there are rows in User that do not have matches in Email, those rows will not be listed.

-- ANSI Style <sql> SELECT u.UserID, u.UserName, u.LastLogon, e.EmailAddress, e.active, e.displayEmail FROM UserTest u JOIN EmailTest e ON e.UserID = u.UserID </sql>

--Theta style <sql> SELECT u.UserID, u.UserName, u.LastLogon, e.EmailAddress, e.active, e.displayEmail FROM UserTest u, EmailTest e WHERE e.UserID = u.UserID </sql>

results

UserID      UserName            LastLogon                     EmailAddress                     active displayEmail 
----------- ------------------- ----------------------------- -------------------------------- ------ ------------ 
1           jmeyers             2003-03-30 00:00:00.000       jeff@interactive.colum.edu       1      0
1           jmeyers             2003-03-30 00:00:00.000       only_a_test@hotmail.com          0      0
2           bgates              2003-04-01 00:00:00.000       bgates@microsoft.com             1      0

(3 row(s) affected)

LEFT [OUTER] JOIN

The LEFT JOIN returns all the rows from the first table (User), even if there are no matches in the second table (Email). If there are rows in User that do not have matches in Email, those rows also will be listed.

<sql> SELECT u.UserID, u.UserName, u.LastLogon, e.EmailAddress, e.active, e.displayEmail FROM UserTest u LEFT JOIN EmailTest e ON e.UserID = u.UserID </sql>

UserID      UserName     LastLogon                 EmailAddress                 active displayEmail 
----------- ------------ ------------------------- ---------------------------- ------ ------------ 
1           jmeyers      2003-03-30 00:00:00.000   jeff@interactive.colum.edu   1      0
1           jmeyers      2003-03-30 00:00:00.000   only_a_test@hotmail.com      0      0
2           bgates       2003-04-01 00:00:00.000   bgates@microsoft.com         1      0
3           sjobs        2003-04-02 00:00:00.000   NULL                         NULL   NULL
4           ltorvalds    2003-04-03 00:00:00.000   NULL                         NULL   NULL

(5 row(s) affected)

RIGHT [OUTER] JOIN

The RIGHT JOIN returns all the rows from the second table (Email), even if there are no matches in the first table (User). If there had been any rows in Email that did not have matches in User, those rows also would have been listed.

<sql> SELECT u.UserID, u.UserName, u.LastLogon, e.EmailAddress, e.active, e.displayEmail FROM UserTest u RIGHT JOIN EmailTest e ON e.UserID = u.UserID </sql>

results

UserID      UserName            LastLogon                     EmailAddress                     active displayEmail 
----------- ------------------- ----------------------------- -------------------------------- ------ ------------ 
1           jmeyers             2003-03-30 00:00:00.000       jeff@interactive.colum.edu       1      0
1           jmeyers             2003-03-30 00:00:00.000       only_a_test@hotmail.com          0      0
2           bgates              2003-04-01 00:00:00.000       bgates@microsoft.com             1      0

(3 row(s) affected)

Making views in enterprise manager is easy. Just add the tables you want to join and click. It does all the typing for you.