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What is a unique key in SQL?

Learn What is a unique key in SQL? with simple explanations, real-time examples, interview tips and practical use cases.

A Unique Key in SQL is a constraint used to ensure that all values in a column are unique.

In simple words:

A unique key prevents duplicate values in a column.


Why Unique Key is Important

In databases, some fields must contain unique values.

Examples:

  • Email Address
  • Phone Number
  • Username
  • Employee ID

Duplicate values in these columns can create serious issues.

Unique keys solve this problem.


Real-Time Example

Suppose a learning platform stores student details.


Students Table

ID Name Email
1 Naresh naresh@gmail.com
2 Rahul rahul@gmail.com

Understanding Unique Key

Here:

email

should be unique.

Reason:

  • Two students cannot use same email address

Unique Key Example

email VARCHAR(100) UNIQUE

Unique Key Architecture

Students Table
----------------------------------------------------
| ID | Name     | Email                            |
----------------------------------------------------
| 1  | Naresh   | naresh@gmail.com                 |
| 2  | Rahul    | rahul@gmail.com                  |
----------------------------------------------------

How to Create Unique Key

Unique key is created using:

UNIQUE

SQL Syntax

CREATE TABLE students (

    id INT PRIMARY KEY,

    name VARCHAR(100),

    email VARCHAR(100) UNIQUE

);

Explanation

Column Purpose
id Primary Key
name Student Name
email Unique Key

What Happens if Duplicate Value is Inserted?

Database throws an error.


Example

INSERT INTO students
VALUES (1, 'Naresh', 'naresh@gmail.com');

INSERT INTO students
VALUES (2, 'Rahul', 'naresh@gmail.com');

Error

Duplicate entry 'naresh@gmail.com'
for key 'email'

Why Unique Key is Useful

Unique keys ensure:

  • Data uniqueness
  • Data integrity
  • Reliable user identification

Related Learning Topics


Unique Key vs Primary Key

Feature Primary Key Unique Key
Purpose Uniquely identifies row Prevents duplicate values
NULL Allowed No Yes (usually one NULL)
Count Per Table Only One Multiple Allowed
Automatically Indexed Yes Yes

Important Difference

A table can have:

  • Only one primary key
  • Multiple unique keys

Example

CREATE TABLE users (

    id INT PRIMARY KEY,

    email VARCHAR(100) UNIQUE,

    phone VARCHAR(15) UNIQUE

);

Explanation

Here:

  • id = primary key
  • email = unique key
  • phone = unique key

Can Unique Key Contain NULL?

Yes.

Most databases allow:

One NULL value

in unique key columns.


Example

INSERT INTO students
VALUES (1, 'Naresh', NULL);

Why NULL is Allowed

NULL means:

Unknown Value

Unknown values are not considered duplicates.


Composite Unique Key

A unique key can also use multiple columns together.


Example

CREATE TABLE enrollments (

    student_id INT,

    course_id INT,

    UNIQUE(student_id, course_id)

);

Why Composite Unique Key is Used

Prevents:

  • Same student enrolling in same course multiple times

Unique Key Query Flow

Application
      |
      v
INSERT Query
      |
      v
Unique Key Validation
      |
      v
Duplicate Check
      |
      v
Data Stored

How Unique Keys Improve Performance

Unique keys automatically create indexes.

Indexes improve:

  • Search performance
  • Query speed
  • Data retrieval

Example Query

SELECT * FROM students
WHERE email = 'naresh@gmail.com';

Real-Time Banking Example

Banking systems use unique keys for:

  • Account Number
  • Customer Email
  • PAN Number

Real-Time E-Commerce Example

E-commerce systems use unique keys for:

  • Username
  • Email Address
  • Order Number

Real-Time Learning Platform Example

Learning platforms use unique keys for:

  • Student Email
  • Certificate ID
  • Username

Advantages of Unique Key

  • Prevents duplicate values
  • Maintains data integrity
  • Improves searching
  • Supports indexing

Challenges of Unique Key

  • Duplicate cleanup during migration
  • Index maintenance overhead
  • Additional validation cost

Best Practices

  • Use unique keys for business-critical fields
  • Use email and username as unique
  • Avoid unnecessary unique constraints
  • Use composite unique keys carefully

Unique Key in Microservices

In microservices architecture:

  • Each service database may define unique constraints independently

Example

Auth Service
      |
      v
email UNIQUE

Payment Service
      |
      v
transaction_id UNIQUE

Real Production Example

In an e-commerce platform:

  • Order ID must be unique
  • Customer email must be unique
  • Payment transaction ID must be unique

This prevents:

  • Duplicate orders
  • Duplicate accounts
  • Payment conflicts

Unique Key vs Foreign Key

Feature Unique Key Foreign Key
Purpose Prevents duplicates Creates relationships
Uniqueness Required Yes No
References Another Table No Yes

Professional Interview Answer

A Unique Key in SQL is a constraint used to ensure that all values in a column or combination of columns remain unique. It prevents duplicate values and helps maintain data integrity. Unlike a primary key, a table can have multiple unique keys, and unique key columns may allow NULL values depending on the database system. Unique keys are commonly used for fields such as email addresses, usernames, phone numbers, transaction IDs, and order numbers.


Why Interviewers Like This Answer

  • Clearly explains uniqueness concept
  • Includes SQL examples
  • Compares with primary key
  • Shows database design understanding
  • Includes real-world applications

Frequently Asked Questions

What is a unique key in SQL?

A unique key prevents duplicate values in a column.

Can unique key contain NULL?

Yes, most databases allow one NULL value.

Can a table have multiple unique keys?

Yes, multiple unique keys are allowed.

What is difference between primary key and unique key?

Primary key uniquely identifies rows and cannot contain NULL, while unique key prevents duplicates and may allow NULL values.

Why unique key is important?

Unique keys maintain data integrity and prevent duplicate business records.

Why this SQL question is important?

This interview question helps candidates understand real-time backend development concepts, practical problem solving, coding fundamentals, system design basics and production-ready application behavior.

Practice this question carefully for Java backend roles, Spring Boot developer interviews, microservices interviews, company interviews and full-stack developer preparation.

About the Author

Naresh Kumar is a Senior Java Backend Engineer with experience building enterprise applications using Java, Spring Boot, Microservices, Docker, Kubernetes and Cloud technologies.