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4NF and Multivalued Dependency by Kristina Miguel

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4NF & MULTIVALUED DEPENDENCY By Kristina Miguel
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Page 1: 4NF and Multivalued Dependency by Kristina Miguel

4NF & MULTIVALUED DEPENDENCY

By Kristina Miguel

Page 2: 4NF and Multivalued Dependency by Kristina Miguel

Review

Superkey – a set of attributes which will uniquely identify each tuple in a relation

Candidate key – a minimal superkey Primary key – a chosen candidate key Secondary key – all the rest of candidate

keys Prime attribute – an attribute that is a

part of a candidate key (key column) Non-prime attribute – a non-key column

Page 3: 4NF and Multivalued Dependency by Kristina Miguel

Review (cont.) 1NF

Eliminate repeating groups. Make a separate table for each set of related attributes, and give each table a

primary key. 2NF

Eliminate redundant data. Each attribute must be functionally dependent on the primary key. If an attribute depends on only part of a multi-valued key, remove it to a separate

table. 3NF

Eliminate columns not dependent on key. If attributes do not contribute to a description of the key, remove them to a separate

table. Any transitive dependencies are moved into a smaller table.

BCNF Every determinant in the table is a candidate key.

If there are non-trivial dependencies between candidate key attributes, separate them out into distinct tables.

All normal forms are additive, in that if a model is in 3NF, it is by definition also in 2NF and 1NF.

Page 4: 4NF and Multivalued Dependency by Kristina Miguel

Multivalued Dependency (MVD) A MVD XY,

Holds for some relation R, so that when you fix the values for one set of attributes, then the values in certain other attributes are independent of the values of all the other attributes in the relation.

Is an assertion that two attributes or sets of attributes are independent of one another.

For each value of X, the values of Y are independent of the values of R-X-Y.

Page 5: 4NF and Multivalued Dependency by Kristina Miguel

MVD (cont.)

More precisely, for MVD AB For each pair of tuples t and u of relation R

that agree on all the A’s, we can find in R some tuple v that agrees With both t and u on the A’s, With t on the B’s, and With u on all attributes of R that are not among

the A’s or B’s.

Page 6: 4NF and Multivalued Dependency by Kristina Miguel

MVD (cont.)

Representation of XY

X Y others

equal

exchange

Page 7: 4NF and Multivalued Dependency by Kristina Miguel

MVD Example

Drinkers(name, addr, phones, beersLiked) A drinker’s phones are independent of

the beers they like. namephones and namebeersLiked.

Thus, each of a drinker’s phones appears with each of the beers they like in all combinations.

Page 8: 4NF and Multivalued Dependency by Kristina Miguel

MVD Example (cont.)

Tuples Implied by namephones If we have tuples:

Then these tuples must also be in the relation.

name addr phones beersLikedsue a p1 b1sue a p2 b2

sue a p2 b1sue a p1 b2

Page 9: 4NF and Multivalued Dependency by Kristina Miguel

4NF

Definition A relation R is in 4NF if and only if, for every

one of its non-trivial multivalued dependencies XY, X is a superkey—that is, X is either a candidate key or a superset thereof. Nontrivial MVD means that:1. Y is not a subset of X, and2. X and Y are not, together, all the attributes.

Page 10: 4NF and Multivalued Dependency by Kristina Miguel

Decomposition into 4NF

If XY is a 4NF violation for relation R, we can decompose R using the same technique as for BCNF.

1. XY is one of the decomposed relations.2. All but Y – X is the other.

Page 11: 4NF and Multivalued Dependency by Kristina Miguel

Decomposition into 4NF Method Find a 4NF violation in R, say AB, where

A is not a superkey. If there is such a 4NF violation, break the

schema for the relation R that has the 4NF violation into two schemas.1. R1, whose schema is A’s and B’s.2. R2, whose schema is the A’s and all attributes

of R that are not among the A’s or B’s. Find the FD’s and MVD’s that hold in R1 and

R2. Recursively decompose R1 and R2 with respect to their projected dependencies.

Page 12: 4NF and Multivalued Dependency by Kristina Miguel

4NF Decomposition ExampleDrinkers(name, addr, phones, beersLiked)FD: nameaddrMVD’s: namephones

namebeersLiked Key is {name, phones, beersLiked}. All dependencies violate 4NF.

Page 13: 4NF and Multivalued Dependency by Kristina Miguel

4NF Decomposition Example (cont.) Decompose using nameaddr:1. Drinkers1(name, addr)

In 4NF; only dependency is nameaddr.

2. Drinkers2(name, phones, beersLiked) Not in 4NF. MVD’s namephones and

namebeersLiked apply. No FD’s, so all three attributes form the key.

Page 14: 4NF and Multivalued Dependency by Kristina Miguel

4NF Decomposition Example (cont.) Decompose Drinkers2

Either MVD name ->-> phones or name ->-> beersLiked tells us to decompose to: Drinkers3(name, phones) Drinkers4(name, beersLiked)

Page 15: 4NF and Multivalued Dependency by Kristina Miguel

Summary

A multivalued dependency is a statement that two sets of attributes in a relation have sets of values that appear in all possible combinations.

If a relation is in 4NF, then every nontrivial MVD is really an FD with a superkey on the left.

Page 16: 4NF and Multivalued Dependency by Kristina Miguel

References

http://www.datamodel.org/NormalizationRules.html

http://www.almaden.ibm.com/cs/people/fagin/tods77.pdf

http://www.bkent.net/Doc/simple5.htm http://infolab.stanford.edu/~ullman/

dscb.html


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