Third normal form

Third normal form is a normal form that is used in normalizing a database design to reduce the duplication of data and ensure referential integrity by ensuring that (1) the entity is in second normal form, and (2) all the attributes in a table are determined only by the candidate keys of that table and not by any non-prime attributes. 3NF was designed to improve database processing while minimizing storage costs. 3NF data modeling was ideal for online transaction processing (OLTP) applications with heavy order entry type of needs.[1]

Definition of third normal form

The third normal form (3NF) is a normal form used in database normalization. 3NF was originally defined by E.F. Codd in 1971.[2] Codd's definition states that a table is in 3NF if and only if both of the following conditions hold:

A non-prime attribute of R is an attribute that does not belong to any candidate key of R.[3] A transitive dependency is a functional dependency in which X → Z (X determines Z) indirectly, by virtue of X → Y and Y → Z (where it is not the case that Y → X).[4]

A 3NF definition that is equivalent to Codd's, but expressed differently, was given by Carlo Zaniolo in 1982. This definition states that a table is in 3NF if and only if, for each of its functional dependencies X → A, at least one of the following conditions holds:

Zaniolo's definition gives a clear sense of the difference between 3NF and the more stringent Boyce–Codd normal form (BCNF). BCNF simply eliminates the third alternative ("Every element of A-X, the set difference between A and X, is a prime attribute").

"Nothing but the key"

An approximation of Codd's definition of 3NF, paralleling the traditional pledge to give true evidence in a court of law, was given by Bill Kent: "[Every] non-key [attribute] must provide a fact about the key, the whole key, and nothing but the key."[7]

Requiring existence of "the key" ensures that the table is in 1NF; requiring that non-key attributes be dependent on "the whole key" ensures 2NF; further requiring that non-key attributes be dependent on "nothing but the key" ensures 3NF. While this phrase is a useful mnemonic, the fact that it only mentions a single key means it defines some necessary but not sufficient conditions to satisfy the 2nd and 3rd Normal Forms. Both 2NF and 3NF are concerned equally with all candidate keys of a table and not just any one key.

Chris Date refers to Kent's summary as "an intuitively attractive characterization" of 3NF, and notes that with slight adaptation it may serve as a definition of the slightly stronger Boyce–Codd normal form: "Each attribute must represent a fact about the key, the whole key, and nothing but the key."[8] The 3NF version of the definition is weaker than Date's BCNF variation, as the former is concerned only with ensuring that non-key attributes are dependent on keys. Prime attributes (which are keys or parts of keys) must not be functionally dependent at all; they each represent a fact about the key in the sense of providing part or all of the key itself. (It should be noted here that this rule applies only to functionally dependent attributes, as applying it to all attributes would implicitly prohibit composite candidate keys, since each part of any such key would violate the "whole key" clause.)

An example of a 2NF table that fails to meet the requirements of 3NF is:

Tournament Winners
Tournament Year Winner Winner Date of Birth
Indiana Invitational1998Al Fredrickson21 July 1975
Cleveland Open1999Bob Albertson28 September 1968
Des Moines Masters1999Al Fredrickson21 July 1975
Indiana Invitational1999Chip Masterson14 March 1977

Because each row in the table needs to tell us who won a particular Tournament in a particular Year, the composite key {Tournament, Year} is a minimal set of attributes guaranteed to uniquely identify a row. That is, {Tournament, Year} is a candidate key for the table.

The breach of 3NF occurs because the non-prime attribute Winner Date of Birth is transitively dependent on the candidate key {Tournament, Year} via the non-prime attribute Winner. The fact that Winner Date of Birth is functionally dependent on Winner makes the table vulnerable to logical inconsistencies, as there is nothing to stop the same person from being shown with different dates of birth on different records.

In order to express the same facts without violating 3NF, it is necessary to split the table into two:

Tournament Winners
Tournament Year Winner
Indiana Invitational1998Al Fredrickson
Cleveland Open1999Bob Albertson
Des Moines Masters1999Al Fredrickson
Indiana Invitational1999Chip Masterson
Winner Dates of Birth
Winner Date of Birth
Chip Masterson14 March 1977
Al Fredrickson21 July 1975
Bob Albertson28 September 1968

Update anomalies cannot occur in these tables, because unlike before, Winner is now a primary key in the second table, thus allowing only one value for Date of Birth for each Winner.

Derivation of Zaniolo's conditions

The definition of 3NF offered by Carlo Zaniolo in 1982, and given above, is proven in the following way: Let X → A be a nontrivial FD (i.e. one where X does not contain A) and let A be a non-key attribute. Also let Y be a key of R. Then Y → X.

Normalization beyond 3NF

Most 3NF tables are free of update, insertion, and deletion anomalies. Certain types of 3NF tables, rarely met with in practice, are affected by such anomalies; these are tables which either fall short of Boyce–Codd normal form (BCNF) or, if they meet BCNF, fall short of the higher normal forms 4NF or 5NF.

Considerations for Use in Reporting Environments

While 3NF was ideal for machine processing, the segmented nature of the data model was difficult to consume by a human user. Analytics via query, reporting, and dashboards required a different type of data model that supported analysis such as trend lines, period-to-date calculations (month-to-date, quarter-to-date, year-to-date), cumulative calculations, basic statistics (average, standard deviation, moving averages) and previous period comparisons (year ago, month ago, week ago) e.g. dimensional modeling and beyond dimensional modeling, flattening of stars via Hadoop and data science.[9][10]

See also

References

  1. ↑ "What is Third Normal Form?" Cory Janssen, Technopedia, retrieved 24 April 2014
  2. ↑ Codd, E.F. "Further Normalization of the Data Base Relational Model." (Presented at Courant Computer Science Symposia Series 6, "Data Base Systems," New York City, May 24th–25th, 1971.) IBM Research Report RJ909 (August 31st, 1971). Republished in Randall J. Rustin (ed.), Data Base Systems: Courant Computer Science Symposia Series 6. Prentice-Hall, 1972.
  3. ↑ Codd, p. 43.
  4. ↑ Codd, p. 45–46.
  5. ↑ Zaniolo, Carlo. "A New Normal Form for the Design of Relational Database Schemata." ACM Transactions on Database Systems 7(3), September 1982.
  6. ↑ Abraham Silberschatz, Henry F. Korth, S. Sudarshan, Database System Concepts (5th edition), p. 276-277
  7. ↑ Kent, William. "A Simple Guide to Five Normal Forms in Relational Database Theory", Communications of the ACM 26 (2), Feb. 1983, pp. 120–125.
  8. ↑ Date, C.J. An Introduction to Database Systems (7th ed.) (Addison Wesley, 2000), p. 379.
  9. ↑ .
  10. ↑ .

Further reading

External links

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