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Relational Database Models

Properties of Relational Tables

Relational tables have following properties:

Values are atomic.
This property implies that columns in a relational table are not repeating group or arrays. Such tables are referred to as being in the "first normal form" (1NF). The atomic value property of relational tables is important because it is one of the cornerstones of the relational model. The key benefit of the one value property is that it simplifies data manipulation logic.

Column values are of the same kind
In relational terms this means that all values in a column come from the same domain. A domain is a set of values which a column may have. For example, a Monthly Salary column contains only specific monthly salaries. It never contains other information such as comments, status flags, or even weekly salary. This property simplifies data access because developers and users can be certain of the type of data contained in a given column. It also simplifies data validation. Because all values are from the same domain, the domain can be defined and enforced with the Data Definition Language (DDL) of the database software .

Each row is unique
This property ensures that no two rows in a relational table are identical; there is at least one column, or set of columns, the values of which uniquely identify each row in the table. Such columns are called primary keys and are discussed in more detail in Relationships and Keys. This property guarantees that every row in a relational table is meaningful and that a specific row can be identified by specifying the primary key value.

The sequence of columns is insignificant
This property states that the ordering of the columns in the relational table has no meaning. Columns can be retrieved in any order and in various sequences. The benefit of this property is that it enables many users to share the same table without concern of how the table is organized. It also permits the physical structure of the database to change without affecting the relational tables.

The sequence of rows is insignificant
This property is analogous the one above but applies to rows instead of columns. The main benefit is that the rows of a relational table can be retrieved in different order and sequences. Adding information to a relational table is simplified and does not affect existing queries.

Each column must have a unique name.
Because the sequence of columns is insignificant, columns must be referenced by name and not by position. In general, a column name need not be unique within an entire database but only within the table to which it belongs

Relationships and Keys

A relationship is an association between two or more tables. Relationships are expressed in the data values of the primary and foreign keys.

A primary key is a column or columns in a table whose values uniquely identify each row in a table. A foreign key is a column or columns whose values are the same as the primary key of another table. You can think of a foreign key as a copy of primary key from another relational table. The relationship is made between two relational tables by matching the values of the foreign key in one table with the values of the primary key in another.

Keys are fundamental to the concept of relational databases because they enable tables in the database to be related with each other. Navigation around a relational database depends on the ability of the primary key to unambiguously identify specific rows of a table. Navigating between tables requires that the foreign key is able to correctly and consistently reference the values of the primary keys of a related table. For example, the figure below shows how the keys in the relational tables are used to navigate from AUTHOR to TITLE to PUBLISHER. AUTHOR TITLE is an all key table used to link AUTHOR and TITLE. This relational table is required because AUTHOR and TITLE have a many-to-many relationship.                  

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