Sharing is caring!

A series of tables with rows and columns that store information retrieved or used as and when required are termed data.  The data stored in the rows and columns is determined by the keys used in the table.

Key Takeaways

  1. Primary keys are database identifiers used to identify each row in a table uniquely, ensuring data consistency, and cannot contain null values.
  2. Unique keys are database constraints that ensure the uniqueness of data in a column or a set of columns, except that they can contain null values.
  3. The main differences between primary and unique keys lie in their functionality, null value allowance, and the fact that a table can have only one primary key but multiple unique keys.

Primary Key vs. Unique Key

A primary key is a column or set of columns uniquely identifying each row in a table. This means that each value in the primary key must be unique and cannot be null. A unique key is a column or set of columns that also ensures that each value in the key is unique, but it can allow null values.

Primary key vs Unique key

A table’s primary key constraint uniquely identifies the table’s rows. In any data table, there is only one primary key. It does not take null values. Also, it does not allow duplicate keys.

A unique key of a table confirms that the data in each row and column is unique and not repeated. In the table, there is more than one unique key.

Also Read:  Aspect Ratio vs Resolution: Difference and Comparison

 

Comparison Table

Parameter of ComparisonPrimary KeyUnique Key
Basic functionThe basic function of a primary key is to uniquely identify a row in a table.The basic function of a unique key is to apply additional conditions to a row so that it becomes unique.
Number of keys in a tableA table has only one primary key.A table can have more than one unique key.
Null value acceptanceA primary key does not accept null values.A unique key can accept null values.
IndexingA primary key has a clustered default index.The default index in a unique key is non-clustered.
Duplicate keysDuplicate keys are not allowed in a primary key of a table.Duplicate keys are allowed in a unique key of a table if one or more key parts are null.

 

What is Primary Key?

One of the most important keys of a data table is the primary key. The primary key is a key that confirms the uniqueness of the data table.

A primary key does not accept null values. The primary key also does not accept duplicate values.  The default index of the primary key is clustered.

The syntax for creating the primary key in the table is-                                                                          

CREATE TABLE Persons (ID  int NOT NULL, Lastname varchar(255) NOT NULL, firstname varchar(255), Age int, PRIMARY KEY(ID));

primary key
 

What is Unique Key?

Another key of the data table is the unique key. The unique key in the data table identifies rows uniquely other than the primary key. The function of the unique key is to apply conditions to the rows that make them unique.

Also Read:  Cassandra vs MongoDB: Difference and Comparison

A unique key can accept null values. It also takes duplicate values in the table if and only if one or more than one key parts are null. The default index of the unique key is encountered.

The syntax of creating the unique key in the table is-

CREATE TABLE Persons (ID int UNIQUE.  Name varchar(255) NOT NULL Surname varchar(255), Age int, UNIQUE KEY(ID));


Main Differences Between Primary Key and Unique Key

  1. A primary key can be associated with other tables as a foreign key, while a unique key can’t be associated as a foreign key.
  2. A primary key is always unique, while a unique one is not necessarily primary.

References
  1. https://link.springer.com/article/10.1023/A:1006720022161
dot 1
One request?

I’ve put so much effort writing this blog post to provide value to you. It’ll be very helpful for me, if you consider sharing it on social media or with your friends/family. SHARING IS ♥️

Want to save this article for later? Click the heart in the bottom right corner to save to your own articles box!

By Sandeep Bhandari

Sandeep Bhandari holds a Bachelor of Engineering in Computers from Thapar University (2006). He has 20 years of experience in the technology field. He has a keen interest in various technical fields, including database systems, computer networks, and programming. You can read more about him on his bio page.