# What is Cardinality in database? Its example, explanation and 2 types.

Cardinality in database:

The word “ cardinality ”in database structures has something to do with calculating figures and values. That being said, cardinality has three primary meanings. It may refer to the number of elements in a set, the connection between tables, or how database tables have many values, and the general look of these tables.

Example:
Think of a credit card company that has two tables: a table for the person who gets the card and a table for the card itself.

There is lots of vocabulary in databases, and cardinality is a term skilled people seem to forget they didn’t know once in a while. But if you don’t know — because it takes a while for cardinality to get safely — it’s very frustrating, when the DBA just slows things down into the core of a phrase! Fear not: as they say, I have you. Fear not.

Two factors in databases mean cardinality. One factors much more than the other for our needs. Let ‘s start with the simple one and then dig into the one that is important for database performance.

Data cardinality is the probably essential concept of cardinality for database results. The first definition of cardinality is when you build the database, this is called data modelling. It is all about how many separate values are contained in a column. Cardinality in this context indicates whether a relationship is one-to-one, multiple-to-one or multiple. So you always speak of cardinality of friendship.

The official definition of the word Cardinality non-database is mathematical: the set of values. The sense of a database varies slightly, when opposed to the number of rows in the table, through the variety of separate values in a table column. Do not recognise recurring column values.

Typically, though, we don’t speak as amount of cardinality. The “high” and “low” cardinals are more frequent. There are several distinct cardinality values; a number of recurring cardinality values are few.

High and Low Cardinality:
This last description of cardinality is in many respects the most commonly used. Experts can also address a database table of high or low cardinal characteristics. The contents of the database table are here typically characterised.

High cardinality implies that most section values are special in this database table. There isn’t a repeat. This is because several of the interactions or elements found are uniquely collectively.

Low cardinality in the section of this database table, means that all of these values are replicated. You may have a couple of values similar to most transactions or to other products listed. And you’ve had multiple components over and over. This is low cardinality, since the contents of the columns don’t weigh much.