Preamble
You will learn how to create, update, and drop VIEWS in PostgreSQL with syntax and examples.
What is PostgreSQL VIEW?
In PostgreSQL, VIEW is not a physical table, but rather a virtual table created by a joins query that connects one or more tables.
Create VIEW
Syntax of CREATE VIEW operator in PostgreSQL
CREATE [OR REPLACE] VIEW view_name AS
SELECT columns
FROM tables
[WHERE conditions];
- OR REPLACE – Optional. If you do not specify this operator and VIEW already exists, the CREATE VIEW operator will return the error.
- view_name – The VIEW name you want to create in PostgreSQL.
- WHERE conditions – Optional. The conditions that must be met to enable entries in VIEW.
An example of how to use the CREATE VIEW statement to create a view in PostgreSQL
CREATE VIEW current_inventory AS
SELECT product_name, quantity
FROM products
WHERE quantity > 0;
This example CREATE VIEW will create a virtual table based on the resulting SELECT operator set. You can now query the PostgreSQL VIEW as follows:
SELECT *
FROM current_inventory;
Update VIEW
You can change the VIEW definition in PostgreSQL without removing it using the CREATE OR REPLACE VIEW statement.
The syntax for CREATE OR REPLACE VIEW in PostgreSQL
CREATE OR REPLACE VIEW view_name AS
SELECT columns
FROM table
WHERE conditions;
- view_name – The name of the view you want to update.
An example of how the CREATE OR REPLACE VIEW operator can be used in PostgreSQL
CREATE or REPLACE VIEW current_inventory AS
SELECT product_name, quantity, category_name
FROM products
INNER JOIN categories
ON products.category_id = categories.category_id
WHERE quantity > 0;
This CREATE OR REPLACE VIEW example would update the VIEW definition with the name current_inventory without removing it.
WARNING: THIS EXAMPLE WOULD UPDATE THE DEFINITION OF VIEW WITH THE NAME CURRENT_INVENTORY WITHOUT REMOVING IT
The CREATE OR REPLACE VIEW statement will work if you add columns to the view at the end of the list. However, it will be an error if you add new columns to the existing columns (i.e.: start or middle of an existing list).
In this case, do not use the CREATE OR REPLACE VIEW statement. It is better to delete VIEW and use the CREATE VIEW operator!
Drop VIEW
After creating VIEW in PostgreSQL, you can delete it using the Drop VIEW operator.
The syntax for Drop VIEW in PostgreSQL
Drop VIEW [IF EXISTS] view_name;
- view_name – The name of the view you want to delete.
- IF EXISTS – Optional. If you do not specify this option and VIEW does not exist, Drop VIEW will return the error.
An example of how to use the Drop VIEW operator in PostgreSQL
Drop VIEW current_inventory;
This example will delete a VIEW named current_inventory.
Postgres database views
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
Cost Transparency for Finance: How Enteros Database Software Powers Cost Attribution and RevOps Efficiency
- 16 March 2026
- Database Performance Management
Introduction Financial institutions today operate in a highly data-driven and technology-intensive environment. From digital banking platforms and trading systems to fraud detection engines and regulatory reporting tools, modern financial operations depend on complex data infrastructures that process enormous volumes of transactions every second. As financial organizations continue to modernize their technology stacks—moving to cloud environments, … Continue reading “Cost Transparency for Finance: How Enteros Database Software Powers Cost Attribution and RevOps Efficiency”
Cloud FinOps for Banking: How Enteros Database Management Platform Enables Intelligent Cost and Performance Control
Introduction The banking industry is experiencing one of the most significant technological transformations in its history. Digital banking platforms, real-time payments, mobile applications, open banking APIs, fraud detection systems, and AI-driven financial services are reshaping how financial institutions operate and deliver value to customers. Behind these digital services lies a complex technology infrastructure powered by … Continue reading “Cloud FinOps for Banking: How Enteros Database Management Platform Enables Intelligent Cost and Performance Control”
Intelligent Healthcare IT: How Enteros AI SQL and Database Management Enable Growth Performance
- 15 March 2026
- Database Performance Management
Introduction The healthcare industry is undergoing a profound digital transformation. Hospitals, healthcare networks, research institutions, pharmaceutical companies, and digital health platforms are rapidly adopting technology to improve patient care, operational efficiency, and clinical outcomes. Electronic health records (EHR), telemedicine systems, medical imaging platforms, clinical analytics tools, and healthcare data exchanges are now essential components of … Continue reading “Intelligent Healthcare IT: How Enteros AI SQL and Database Management Enable Growth Performance”
How Fashion Brands Optimize Digital Growth with Enteros AI SQL and Database Performance Intelligence
Introduction The fashion industry has evolved dramatically over the past decade. What was once a primarily design-driven and retail-focused sector has become a technology-powered global ecosystem fueled by digital commerce, real-time analytics, omnichannel retail platforms, and data-driven customer experiences. Fashion brands now operate across e-commerce platforms, mobile applications, supply chain systems, CRM tools, marketing automation … Continue reading “How Fashion Brands Optimize Digital Growth with Enteros AI SQL and Database Performance Intelligence”