
PostgreSQL ALTER TABLE statement is used to add, modify, or clear / delete columns in a table. PostgreSQL ALTER TABLE is also used to rename a table.
Add a column to a table
The syntax for adding a column to a table in PostgreSQL (using ALTER TABLE):
ALTER TABLE table_name
ADD new_column_name column_definition;
- table_name – The name of the table to change.
- new_column_name – Name of the new column added to the table.
- column_definition – Column data type.
Consider an example that shows how to add a column to a PostgreSQL table using the ALTER TABLE statement.
For example:
ALTER TABLE order_details
ADD order_date date;
This PostgreSQL example ALTER TABLE will add a column named order_date to the order_details table. It will be created as a NULL column.
Add multiple columns to the table
The syntax for adding multiple columns to a table in PostgreSQL (using ALTER TABLE):
ALTER TABLE table_name
ADD new_column_name column_definition,
ADD new_column_name column_definition,
- table_name – The name of the table to change.
- new_column_name – The name of the new column added to the table.
- column_definition – Column data type.
Consider an example that shows how to add multiple columns to a PostgreSQL table using the ALTER TABLE statement.
For example:
ALTER TABLE order_details
ADD order_date date,
ADD quantity integer;
This example will add two columns to the order_details table – order_date and quantity.
The order date field will be a date data type column, whereas the quantity column will create as an integer data type column.
Change the column in the table
Syntax to change the column in the table in PostgreSQL (using ALTER TABLE):
ALTER TABLE table_name
ALTER COLUMN column_name TYPE column_definition;
- table_name – The name of the table to change.
- column_name – The name of the column to be changed in the table.
- column_definition – The changed column data type.
Consider an example that shows how to change a column in a PostgreSQL table using the ALTER TABLE statement.
For example:
ALTER TABLE order_details
ALTER COLUMN notes TYPE varchar (500);
This ALTER TABLE example will change the column named notes to varchar (500) data type in the order_details table.
Change multiple columns in the table
Syntax to change multiple columns in a table in PostgreSQL (using ALTER TABLE):
ALTER TABLE table_name
ALTER COLUMN column_name TYPE column_definition,
ALTER COLUMN column_name TYPE column_definition,
- table_name – The name of the table to change.
- column_name – The name of the table column has to be modified.
- column_definition – The changed type of column data.
Consider an example that shows how to change multiple columns in a PostgreSQL table using the ALTER TABLE statement.
For example:
ALTER TABLE order_details
ALTER COLUMN notes TYPE varchar (500),
ALTER COLUMN quantity TYPE numeric;
In this ALTER TABLE example, two columns of the order details table – notes and quantity – will be altered.
We will change the data type of the notes field to varchar (500) and change the quantity column’s data type to numeric.
Delete the column in the table
Syntax to delete a column in a table in PostgreSQL (using ALTER TABLE operator):
ALTER TABLE table_name
DROP COLUMN column_name;
- table_name – The name of the table to change.
- column_name – Will eliminate the name of the table column.
Consider an example that shows how to remove a column in a PostgreSQL table using the ALTER TABLE statement.
For example:
ALTER TABLE order_details
DROP COLUMN notes;
This ALTER TABLE example will delete the column named notes from the table named order_details.
Rename the column in the table
Syntax to rename the column in the table to PostgreSQL (using ALTER TABLE operator):
ALTER TABLE table_name
RENAME COLUMN old_name TO new_name;
- table_name – Name of the table to change.
- old_name – We will rename this column.
- new_name – The new name for the column.
Consider an example that shows how to rename a column in a PostgreSQL table using the ALTER TABLE operator.
For example:
ALTER TABLE order_details
RENAME COLUMN notes TO order_notes;
This PostgreSQL example ALTER TABLE will rename the column with the name notes to order_notes in the order_details table.
Rename the table
The syntax for renaming a table to PostgreSQL (using ALTER TABLE operator):
ALTER TABLE table_name
RENAME TO new_table_name;
- table_name – A table for renaming.
- new_table_name – The new name of the table.
Consider an example that shows how to rename a table to PostgreSQL using the ALTER TABLE operator.
For example:
ALTER TABLE order_details
RENAME TO order_information;
This example ALTER TABLE will rename the order_details table to order_information.
PostgreSQL Tutorial for Beginners; PostgreSQL ALTER TABLE
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
How to Transform Financial Operations with Enteros Database Software and Growth Intelligence
- 10 June 2026
- Database Performance Management
Introduction The financial services industry is experiencing unprecedented digital transformation. Banks, insurance providers, fintech organizations, investment firms, and financial institutions are rapidly modernizing their technology infrastructures to meet evolving customer expectations, regulatory requirements, and competitive market demands. Modern financial organizations now rely on: Digital banking platforms Mobile financial applications Payment processing systems Risk management platforms … Continue reading “How to Transform Financial Operations with Enteros Database Software and Growth Intelligence”
How to Enable Intelligent AI Growth with Enteros Database Performance Management and Operational Intelligence
Introduction Artificial Intelligence (AI) is transforming industries across the globe. From generative AI applications and large language models (LLMs) to predictive analytics, intelligent automation, and machine learning platforms, organizations are investing heavily in AI technologies to improve productivity, accelerate innovation, and drive business growth. Modern AI ecosystems now support: Generative AI platforms Machine learning environments … Continue reading “How to Enable Intelligent AI Growth with Enteros Database Performance Management and Operational Intelligence”
How Real-Time Database Observability Accelerates Digital Transformation Initiatives
Digital transformation has become a strategic priority for organizations seeking to remain competitive in an increasingly data-driven world. Enterprises across industries are investing in cloud-native technologies, artificial intelligence, automation, advanced analytics, and modern applications to improve operational efficiency, enhance customer experiences, and drive innovation. However, successful digital transformation requires more than adopting new technologies. Organizations … Continue reading “How Real-Time Database Observability Accelerates Digital Transformation Initiatives”
Leveraging AI and Predictive Analytics for Autonomous Database Performance Management
In today’s digital-first economy, organizations depend on high-performing databases to support critical business applications, customer experiences, analytics platforms, and operational systems. As enterprises continue adopting cloud-native architectures, multi-cloud deployments, microservices, and real-time digital services, database environments are becoming increasingly complex and difficult to manage. Traditional database performance management approaches often rely on manual monitoring, reactive … Continue reading “Leveraging AI and Predictive Analytics for Autonomous Database Performance Management”