First normal form

Updated on Nov 01, 2023

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Abbreviation 1NF Year introduced 1971		Developed by Edgar F. Codd

First normal form database management system

First normal form (1NF) is a property of a relation in a relational database. A relation is in first normal form if and only if the domain of each attribute contains only atomic (indivisible) values, and the value of each attribute contains only a single value from that domain. The first definition of the term, in a 1971 conference paper by Edgar Codd, defined a relation to be in first normal form when none of its domains have any sets as elements.

First normal form is an essential property of a relation in a relational database. Database normalization is the process of representing a database in terms of relations in standard normal forms, where first normal is a minimal requirement.

First normal form enforces these criteria:

Eliminate repeating groups in individual tables.

Create a separate table for each set of related data.

Identify each set of related data with a primary key

First normal form database management system dbms tutorial 1nf example 1nf 2nf 3nf bcnf

Examples

The following scenario illustrates how a database design might violate first normal form.

Domains and values

Below is a table that stores the names and telephone numbers of customers. One requirement though is to retain multiple telephone numbers for some customers. The simplest way of satisfying this requirement is to allow the "Telephone Number" column in any given row to contain more than one value:

Note that the telephone number column simply contains text: numbers of different formats, and more importantly, more than one number for two of the customers. We are duplicating related information in the same column. If we would be satisfied with such arbitrary text, we would be fine. But it's not arbitrary text at all: we obviously intended this column to contain telephone number(s). Seen as telephone numbers, the text is not atomic: it can be subdivided. As well, when seen as telephone numbers, the text contains more than one number in two of our rows. This representation of telephone numbers is not in first normal form: our columns contain non-atomic values, and they contain more than one of them.

A design that complies with 1NF

To bring the model into the first normal form, we split the strings we used to hold our telephone number information into "atomic" (i.e. indivisible) entities: single phone numbers. And we ensure no row contains more than one phone number.

Note that the "ID" is no longer unique in this solution with duplicated customers. To uniquely identify a row, we need to use a combination of (ID, Telephone Number).

A design that also complies with higher normal forms

Another design for the same data makes use of two tables: a Customer Name table and a Customer Telephone Number table.

Indeed, columns do not contain more than one telephone number in this design. Instead, each Customer-to-Telephone Number link appears on its own row. Using Customer ID as key, a one-to-many relationship exists between the name and the number tables. A row in the "parent" table, Customer Name, can be associated with many telephone number rows in the "child" table, Customer Telephone Number, but each telephone number belongs to one, and only one customer. It is worth noting that this design meets the additional requirements for second and third normal form.

Atomicity

Edgar F. Codd's definition of 1NF makes reference to the concept of 'atomicity'. Codd states that the "values in the domains on which each relation is defined are required to be atomic with respect to the DBMS." Codd defines an atomic value as one that "cannot be decomposed into smaller pieces by the DBMS (excluding certain special functions)" meaning a column should not be divided into parts with more than one kind of data in it such that what one part means to the DBMS depends on another part of the same column.

Hugh Darwen and Chris Date have suggested that Codd's concept of an "atomic value" is ambiguous, and that this ambiguity has led to widespread confusion about how 1NF should be understood. In particular, the notion of a "value that cannot be decomposed" is problematic, as it would seem to imply that few, if any, data types are atomic:

A character string would seem not to be atomic, as the RDBMS typically provides operators to decompose it into substrings.

A fixed-point number would seem not to be atomic, as the RDBMS typically provides operators to decompose it into integer and fractional components.

An ISBN would seem not to be atomic, as it includes language and publisher identifier.

Date suggests that "the notion of atomicity has no absolute meaning": a value may be considered atomic for some purposes, but may be considered an assemblage of more basic elements for other purposes. If this position is accepted, 1NF cannot be defined with reference to atomicity. Columns of any conceivable data type (from string types and numeric types to array types and table types) are then acceptable in a 1NF table—although perhaps not always desirable; for example, it would be more desirable to separate a Customer Name column into two separate columns as First Name, Surname.

First normal form, as defined by Chris Date, permits relation-valued attributes (tables within tables). Date argues that relation-valued attributes, by means of which a column within a table can contain a table, are useful in rare cases.

1NF tables as representations of relations

According to Date's definition, a table is in first normal form if and only if it is "isomorphic to some relation", which means, specifically, that it satisfies the following five conditions:

There's no top-to-bottom ordering to the rows.
There's no left-to-right ordering to the columns.
There are no duplicate rows.
Every row-and-column intersection contains exactly one value from the applicable domain (and nothing else).
All columns are regular [i.e. rows have no hidden components such as row IDs, object IDs, or hidden timestamps].

Violation of any of these conditions would mean that the table is not strictly relational, and therefore that it is not in first normal form.

Examples of tables (or views) that would not meet this definition of first normal form are:

A table that lacks a unique key. Such a table would be able to accommodate duplicate rows, in violation of condition 3.

A view whose definition mandates that results be returned in a particular order, so that the row-ordering is an intrinsic and meaningful aspect of the view. This violates condition 1. The tuples in true relations are not ordered with respect to each other.

A table with at least one nullable attribute. A nullable attribute would be in violation of condition 4, which requires every column to contain exactly one value from its column's domain. It should be noted, however, that this aspect of condition 4 is controversial. It marks an important departure from Codd's later vision of the relational model, which made explicit provision for nulls.

References

First normal form Wikipedia

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