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Normalization

Boyce-Codd Normal Form

Boyce-Codd normal form (BCNF) is a more rigorous version of the 3NF deal with relational tables that had
(a) multiple candidate keys,
(b) composite candidate keys, 
(c) candidate keys that overlapped .

BCNF is based on the concept of determinants. A determinant column is one on which some of the columns are fully functionally dependent. A relational table is in BCNF if and only if every determinant is a candidate key.

Fourth Normal Form

A relational table is in the fourth normal form (4NF) if it is in BCNF and all multivalued dependencies are also functional dependencies.

Fourth normal form (4NF) is based on the concept of multivalued dependencies (MVD). A Multivalued dependency occurs when in a relational table containing at least three columns, one column has multiple rows whose values match a value of a single row of one of the other columns. A more formal definition given by Date is:

given a relational table R with columns A, B, and C then

R.A —>> R.B (column A multidetermines column B)

is true if and only if the set of B-values matching a given pair of A-values and C-values in R depends only on the A-value and is independent of the C-value.

MVD always occur in pairs. That is R.A —>> R.B holds if and only if R.A —>> R.C also holds.

Suppose that employees can be assigned to multiple projects. Also suppose that employees can have multiple job skills. If we record this information in a single table, all three attributes must be used as the key since no single attribute can uniquely identify an instance.

The relationship between emp# and prj# is a multivalued dependency because for each pair of emp#/skill values in the table, the associated set of prj# values is determined only by emp# and is independent of skill. The relationship between emp# and skill is also a multivalued dependency, since the set of Skill values for an emp#/prj# pair is always dependent upon emp# only.

To transform a table with multivalued dependencies into the 4NF move each MVD pair to a new table. The result is shown in Figure1.

EMPLOYEE_ PROJECTS

emp#

pro#

1211

1

1211

5

EMPLOYEE_SKILL

emp#

skill

1211

Analysis

1211

Design

1211

Program

Fifth Normal Form

A table is in the fifth normal form (5NF) if it cannot have a lossless decomposition into any number of smaller tables.

While the first four normal forms are based on the concept of functional dependence, the fifth normal form is based on the concept of join dependence. Join dependency means that an table, after it has been decomposed into three or more smaller tables, must be capable of being joined again on common keys to form the original table. Stated another way, 5NF indicates when an entity cannot be further decomposed. 5NF is complex and not intuitive. Most experts agree that tables that are in the 4NF are also in 5NF except for "pathological" cases. Teorey suggests that true many-to-many-to-many ternary relations are one such case.

Adding an instance to an table that is not in 5NF creates spurious results when the tables are decomposed and then rejoined. For example, let's suppose that we have an employee who uses design skills on one project and programming skills on another. This information is shown below.

emp#

prj#

skill


1211

11

Design

1211

28

Program

Next we add an employee (1544) who uses programming skills on Project 11.

emp#

prj#

skill


1211

11

Design

1211

28

Program

1544

11

Program

Next, we project this information into three tables as we did above. However, when we rejoin the tables, the recombined table contains spurious results.

emp#

prj#

skill

 


 

1211

11

Design

 

1211

11

Program

<<—spurious data

1211

28

Program

 

1544

11

Design

<<—spurious data

1544

11

Program

 

                  

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