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
How Can Enterprises Reduce Database Costs Without Sacrificing Performance?
- 11 September 2026
- Database Performance Management
Enterprises can reduce database costs without sacrificing performance by identifying inefficient SQL, right-sizing infrastructure, eliminating unused capacity, analyzing workload patterns, improving storage efficiency, and using database observability to connect resource consumption with application performance. Database cost optimization helps organizations control infrastructure spending while Enteros UpBeat provides performance intelligence, workload visibility, predictive analytics, and Cloud FinOps … Continue reading “How Can Enterprises Reduce Database Costs Without Sacrificing Performance?”
How Can AI Detect Database Performance Anomalies Before They Cause Downtime?
AI can detect database performance anomalies by continuously analyzing workload patterns, SQL behavior, latency, resource usage, waits, and historical baselines. AI database anomaly detection helps identify unusual behavior before it becomes a larger outage. With Enteros UpBeat, IT teams can detect emerging issues earlier, investigate root causes faster, and improve database reliability across complex enterprise … Continue reading “How Can AI Detect Database Performance Anomalies Before They Cause Downtime?”
How Can Financial Institutions Detect Database Bottlenecks Before Transaction Delays Occur?
- 10 September 2026
- Database Performance Management
Financial institutions can detect database bottlenecks before transaction delays occur by continuously monitoring query latency, database waits, CPU, memory, I/O, locking, workload changes, and transaction throughput. By combining performance baselines, anomaly detection, SQL intelligence, predictive analytics, and automated root cause analysis, teams can identify emerging issues early and optimize databases before customer-facing banking, payment, or … Continue reading “How Can Financial Institutions Detect Database Bottlenecks Before Transaction Delays Occur?”
What Role Does AI-Powered Database Monitoring for Banking Play in Performance Management?
AI-powered database monitoring for banking helps financial institutions detect anomalies, identify performance bottlenecks, analyse SQL workloads, predict capacity risks, and accelerate troubleshooting. By combining database observability with automated analysis, AI-powered database performance supports faster incident response, more reliable transactions, better resource utilisation, stronger capacity planning, and smarter cloud cost decisions across increasingly complex banking database … Continue reading “What Role Does AI-Powered Database Monitoring for Banking Play in Performance Management?”