Cardinality in DBMS

What is Cardinality?

Cardinality helps us identify the uniqueness of the data in database columns. Here Low cardinality denotes that there are a lot of redundancies(repeated values) in columns. High cardinality denotes that there are a lot of unique values in columns.

Why is Cardinality Important in Databases?

In databases, Cardinality is very important because it helps us to create links between entities. Cardinality has a significant impact on query execution. Query execution is a sequence of steps that users take to search and access the data stored in a database. Cardinality is applied to databases for a variety of reasons, however many businesses use the cardinality model to analyze the data in the database.

For example, consider an online grocery store where one table consists of all of its customer details. Consider another table that contains the shopping history of every customer. We know that every customer might have purchased multiple items, so the database administrator likely uses the One-to-Many cardinality relationship which would link each customer in the first table to all the purchases they made in the second table.

Types of Cardinality Ratios

There exists a few cardinality ratios which determine the cardinality in DBMS.

One-to-One cardinality (1:1)

In One-to-One cardinality, an entity in a set A relates to exactly one occurrence of another entity in set B.

In other words, one entity is related to only one another entity.

Symbol Used:

For example, let us consider two tables STUDENT and STUDENT_INFO. Let us consider the STUDENT table has a name column and STUDENT_INFO has a id_no column. Here, we could find the id_no of every for every student using these two tables. The relation between these two tables would be One-to-One.

One-to-Many cardinality (1)

In One-to-Many cardinality, an entity in set A relates to many occurrences of another entity in set B. In other words, an entity in set A can be linked with any number of entities in set B while an entity in set B can be linked with only one entity in set A.

Symbol Used:

For example, let us consider two tables department table and an employee table. Here one department can contain many employees but one employee can be in one department only

Many-to-One cardinality (m:1)

In Many-to-One Cardinality, multiple occurrences of an entity in set A can relate to one occurrence of another entity in set B. In other words, an entity in set B can be linked with at most one entity in set A while an entity in set A can be linked with any number of entities in set B.

Symbol Used:

For example, let us consider two tables employee table and a department table. Here many employees can work for one department.

Many-to-Many cardinality (m)

In Many-to-Many cardinality, multiple occurrences in an entity set can relate to multiple occurrences of another entity set. In other words, an entity in set A can link to any number of entities in set B while an entity in set B can link to any number of entities in set A.

Symbol Used:

For example, let us consider two tables, a student table, and the course table. Here a student can enroll in multiple courses and at the same time a course can contain multiple students

Read More:

• DBMS Entity.
• DBMS Relationship.