SQL UNIQUE Constraint

Last Updated : 10 Feb, 2026

The UNIQUE constraint in SQL prevents duplicate entries in specified column(s) while still allowing multiple NULL values. It helps maintain data accuracy without the strict non-NULL requirement of a PRIMARY key.

  • Supports single or multi-column definitions.
  • Can be added or removed using ALTER TABLE.
  • Index creation depends on the database.

Query:

CREATE TABLE Employees (
EmpID INT,
Email VARCHAR(100) UNIQUE
);

-- Insert data into Employees table
INSERT INTO Employees (EmpID, Email) VALUES
(1, '[email protected]'),
(2, NULL),
(3, NULL); -- Allowed because multiple NULLs are treated as unique

Output:

Screenshot-2025-11-20-095252
Employees Table
  • UNIQUE prevents duplicates; only non-NULL values must remain strictly distinct.
  • Multiple NULLs allowed because SQL treats every NULL as unique.

Query:

INSERT INTO Employees (EmpID, Email)
VALUES (4, '[email protected]');

Error:

Screenshot-2025-11-20-095323
  • The value '[email protected]' already exists in the Email column.
  • UNIQUE constraint blocks inserting a duplicate, so the query fails.

Syntax:

CREATE TABLE table_name (
 column1 datatype UNIQUE,
 column2 datatype,
 ...
);

Example of Using the SQL UNIQUE Constraint

In these examples, we demonstrate the implementation of SQL UNIQUE constraint:

Example 1: Creating a Table with UNIQUE Constraints

Let's create a Customers table where the Email column must be unique.

Query:

CREATE TABLE Customers (
CustomerID INT PRIMARY KEY,
Name VARCHAR(100),
Email VARCHAR(100) UNIQUE,
Country VARCHAR(50)
);

--Insert data into Customers table
INSERT INTO Customers (CustomerID, Name, Email, Country) VALUES
(1, 'John Doe', '[email protected]', 'USA'),
(2, 'Jane Smith', '[email protected]', 'Canada');

Output:

Screenshot-2025-11-20-101047
Customers Table
  • The Email column uses a UNIQUE constraint, so no two customers can share the same email.
  • Both inserted rows succeed because each email value is different.

Query:

-- This will fail because '[email protected]' already exists 
INSERT INTO Customers (CustomerID, Name, Email, Country) VALUES
(3, 'Alice Johnson', '[email protected]', 'UK');

Error:

Screenshot-2025-11-20-101426
  • The insert fails because the Email value already exists in a UNIQUE-restricted column.
  • UNIQUE prevents duplicate non-NULL emails, so the row is rejected.

Example 2: Using UNIQUE with Multiple Columns

We can also apply the UNIQUE constraint to multiple columns to ensure that the combination of those columns is unique.

Query:

CREATE TABLE Orders (
OrderID INT PRIMARY KEY,
CustomerID INT,
ProductID INT,
OrderDate DATE,
UNIQUE (CustomerID, ProductID)
);

--Insert data into Orders table
INSERT INTO Orders (OrderID, CustomerID, ProductID, OrderDate) VALUES
(1, 101, 501, '2024-01-10'),
(2, 102, 501, '2024-01-12');

Output:

Screenshot-2025-11-20-102343
Orders Table
  • The UNIQUE(CustomerID, ProductID) constraint ensures that the same customer cannot order the same product more than once.
  • Both inserted rows are valid because each CustomerID and ProductID pair is different.

Query:

-- This will fail: duplicate CustomerID–ProductID pair
INSERT INTO Orders (OrderID, CustomerID, ProductID, OrderDate) VALUES
(3, 101, 501, '2024-01-15');

Error:

Screenshot-2025-11-20-103527
  • The pair (101, 501) already exists, violating the UNIQUE(CustomerID, ProductID) constraint.
  • UNIQUE prevents the same customer from ordering the same product twice, so the insert fails.