Preamble
PostgreSQL Constraints: You’ll learn how to create, add, and remove unique constraints in PostgreSQL with syntax and examples.
What is a unique constraint in PostgreSQL Constraints?
A unique constraint is a single field or a combination of fields that uniquely define a record. Some fields may contain zero values if the combination of values is unique.
What is the difference between a unique constraint and a primary key?
|
Primary key
|
Unique Constraint
|
|---|---|
|
None of the fields, which are part of the primary key, can contain zero value.
|
Some fields that are part of the uniqueness constraint may contain zero values if the combination of values is unique.
|
Create a unique Constraint use the CREATE TABLE operator
Syntax to create a unique constraint using the CREATE TABLE operator in PostgreSQL:
CREATE TABLE table_name
(
column1 datatype [ NULL | NOT NULL ],
column2 datatype [ NULL | NOT NULL ],
...
CONSTRAINT constraint_name UNIQUE (uc_col1, uc_col2,... uc_col_n)
);
- table_name – The name of the table you want to create.
- column1, column2 – The columns you want to create in the table.
- constraint_name – The name of a unique constraint.
- uc_col1, uc_col2,… uc_col_n – The columns that make up the unique constraint.
Consider an example of how to create a unique limitation in PostgreSQL using the CREATE TABLE statement.
CREATE TABLE order_details
( order_detail_id integer CONSTRAINT order_details_pk PRIMARY KEY,
order_id integer NOT NULL,
order_date date,
size integer,
notes varchar(200),
CONSTRAINT order_unique UNIQUE (order_id)
);
In this example, we created a unique restriction for the order_details table called order_unique. It consists of only one field, order_id.
We can also create a unique constraint with more than one field, as in the example below:
CREATE TABLE order_details
( order_detail_id integer CONSTRAINT order_details_pk PRIMARY KEY,
order_id integer NOT NULL,
order_date date,
size integer,
notes varchar(200),
CONSTRAINT order_date_unique UNIQUE (order_id, order_date)
)
Create a unique Constraint using the ALTER TABLE operator
Syntax to create a unique constraint using ALTER TABLE in PostgreSQL:
ALTER TABLE table_name
ADD CONSTRAINT constraint_name UNIQUE (column1, column2,... column_n);
- table_name – Name of the table to change. This is the table to which you want to add a unique constraint.
- constraint_name – The name of the unique constraint.
- column1, column2,… column_n – The columns that make up the unique constraint.
Let’s consider an example of how to add a unique limitation to an existing table in PostgreSQL using the ALTER TABLE operator.
ALTER TABLE order_details
ADD CONSTRAINT order_unique UNIQUE (order_id);
In this example, we have created a unique restriction for an existing order_details table with the name order_unique. It consists of a field with the name order_id.
We can also create a unique constraint with more than one field, as in the example below:
ALTER TABLE order_details
ADD CONSTRAINT order_date_unique UNIQUE (order_id, order_date);
Delete unique Constraint
Syntax to remove the unique restriction in PostgreSQL:
ALTER TABLE table_name
DROP CONSTRAINT constraint_name;
- table_name – The name of the table to change. This is the table from which you want to remove the unique constraint.
- constraint_name – The name of the unique constraint to be removed.
Let’s consider an example of how to remove a unique limitation from a table in PostgreSQL.
ALTER TABLE order_details
DROP CONSTRAINT order_unique;
In this example, we discard a unique restriction on an order_details table named order_unique.
PostgreSQL: Creating Tables with Constraints | Course
About Enteros
IT organizations routinely spend days and weeks troubleshooting production database performance issues across multitudes of critical business systems. Fast and reliable resolution of database performance problems by Enteros enables businesses to generate and save millions of direct revenue, minimize waste of employees’ productivity, reduce the number of licenses, servers, and cloud resources and maximize the productivity of the application, database, and IT operations teams.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
From Network Traffic to Cost Transparency: Enteros Approach to Amortized Cost Management in Telecom
- 12 February 2026
- Database Performance Management
Introduction Telecom operators today are no longer just connectivity providers. They are digital service platforms supporting 5G networks, IoT ecosystems, streaming services, cloud-native core systems, enterprise connectivity, and real-time analytics. Every call, message, streaming session, IoT signal, and digital interaction generates massive volumes of transactional and analytical data. That data is processed, stored, and monetized … Continue reading “From Network Traffic to Cost Transparency: Enteros Approach to Amortized Cost Management in Telecom”
From Transactions to Transparency: Enteros’ AI SQL Platform for Financial Database Performance and Cost Intelligence
Introduction In the financial sector, performance is not optional—it is existential. Banks, insurance providers, capital markets firms, fintech platforms, and payment processors operate in environments where milliseconds matter, compliance is mandatory, and financial transparency is critical. Every transaction—whether it’s a trade execution, loan approval, insurance claim, or digital payment—flows through complex database infrastructures. Yet as … Continue reading “From Transactions to Transparency: Enteros’ AI SQL Platform for Financial Database Performance and Cost Intelligence”
Driving Healthcare RevOps Efficiency with AI SQL–Powered Database Performance Management Software
- 11 February 2026
- Database Performance Management
Introduction Healthcare organizations today operate at the intersection of clinical excellence, regulatory compliance, and financial sustainability. Hospitals, health systems, payer organizations, and healthtech SaaS providers depend on digital platforms to manage electronic health records (EHRs), billing systems, revenue cycle management (RCM), patient portals, telehealth platforms, claims processing engines, and analytics tools. At the core of … Continue reading “Driving Healthcare RevOps Efficiency with AI SQL–Powered Database Performance Management Software”
Retail Revenue Meets Cloud Economics: Enteros AIOps-Driven Approach to Database Cost Attribution
Introduction Retail has become a real-time, data-driven industry. From omnichannel commerce and dynamic pricing engines to inventory optimization, loyalty platforms, recommendation systems, and last-mile logistics, modern retail runs on software—and software runs on databases. As retailers scale their digital presence, they increasingly rely on SaaS platforms, microservices architectures, hybrid cloud infrastructure, and distributed database environments. … Continue reading “Retail Revenue Meets Cloud Economics: Enteros AIOps-Driven Approach to Database Cost Attribution”