Preamble
PostgreSQL condition OR is used to check two or more conditions under which records are returned when any of these conditions are met. It can be used in SELECT, INSERT, UPDATE, or DELETE statements.
The syntax for OR condition in PostgreSQL
WHERE condition1
OR condition2
…
OR condition_n;
Parameters and arguments of the condition
- condition1, condition2, condition_n are any conditions that must be met to select records.
Note:
- PostgreSQL condition OR allows checking 2 or more conditions.
- PostgreSQL condition OR requires that any condition (i.e.: condition1, condition2, condition_n) is met to include a record in the resulting set.
Example of a condition with the SELECT operator
The first example of the PostgreSQL condition OR that we will look at includes a SELECT operator with two conditions:
SELECT *
FROM products
WHERE product_type = 'Hardware'
OR product_id > 400;
In this PostgreSQL example, the OR condition will return all records from products with product_type equal to ‘Hardware’ or product_id greater than 400. Since the SELECT operator uses *, all fields from the products table will appear in the result set.
Example of a condition with a SELECT operator (3 conditions)
In the following PostgreSQL example OR the SELECT operator with 3 conditions is considered. If any of these conditions are met, the record will be included in the result set.
SELECT product_id,
product_name
FROM products
WHERE product_type = 'Hardware'
OR product_type = 'Software'
OR product_id > 1000;
In this PostgreSQL example, the OR condition will return all product_id and product_name values from the products table, where product_type equals ‘Hardware’ or product_type is ‘Software’ or product_id greater than 1000.
Example condition with the INSERT operator
PostgreSQL condition OR can be used in the INSERT operator.
For example:
INSERT INTO products
(product_id, product_name)
SELECT inventory_id,
product_name
FROM inventory
WHERE quantity > 0
OR product_name = 'Memory';
This example of PostgreSQL OR will insert into the products table all inventory_id and product_name records from the inventory table whose size is greater than 0 or product_name equals ‘Memory’.
Example of a condition with the UPDATE operator
PostgreSQL condition OR can be used in UPDATE expression.
For example:
UPDATE products
SET product_type = 'Hardware'
WHERE product_name = 'Memory'
OR product_name = 'SSD';
In this PostgreSQL example, the OR condition will update all product_type values in the products table to ‘Hardware’, where product_name is ‘Memory’ or product_name is ‘SSD’.
Example of a condition with DELETE operator
PostgreSQL condition OR can be used in DELETE operators.
For example:
DELETE FROM contacts
WHERE last_name = 'Hard'
OR first_name = 'Jack';
In this PostgreSQL example, OR conditions will delete all records from the contacts table that had last_name with ‘Hard’ or first_name with ‘Jack’.
Postgres Conditionals: How to Use Case
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 Database Observability and AIOps Work Together to Improve Business Continuity
- 24 July 2026
- Software Engineering
Introduction In today’s digital-first economy, business continuity depends heavily on the availability, reliability, and performance of enterprise applications. Organizations across banking, financial services, healthcare, education, retail, telecommunications, SaaS, and e-commerce rely on complex technology ecosystems where databases serve as the foundation for critical operations. Every customer transaction, online service request, healthcare record update, financial operation, … Continue reading “How Database Observability and AIOps Work Together to Improve Business Continuity”
Why AI-Driven Database Performance Management Is Critical for Cloud-Native Enterprises
Introduction Cloud-native transformation has changed how enterprises design, deploy, and manage modern applications. Organizations across banking, financial services, healthcare, education, retail, telecommunications, SaaS, and digital platforms are adopting cloud-native architectures to achieve faster innovation, improved scalability, and greater operational agility. However, as applications become more distributed and data-intensive, managing database performance has become increasingly complex. … Continue reading “Why AI-Driven Database Performance Management Is Critical for Cloud-Native Enterprises”
How to Optimize Energy and Utility Operations with Enteros Database Software, AI-Powered Analytics, and Operational Intelligence
Introduction The energy and utilities industry is undergoing one of the most significant digital transformations in its history. Electric utilities, natural gas providers, renewable energy companies, water utilities, and power generation organizations are investing heavily in smart grids, renewable energy integration, Industrial Internet of Things (IIoT), cloud computing, artificial intelligence (AI), and predictive analytics to … Continue reading “How to Optimize Energy and Utility Operations with Enteros Database Software, AI-Powered Analytics, and Operational Intelligence”
How to Optimize Government Digital Services with Enteros Database Software, Operational Intelligence, and AI-Powered Analytics
Introduction Governments around the world are accelerating digital transformation to deliver faster, more transparent, and citizen-centric public services. National, state, and local government agencies are investing heavily in digital portals, e-governance platforms, smart city initiatives, cloud computing, artificial intelligence (AI), and data-driven decision-making to improve operational efficiency and public service delivery. Today, citizens expect government … Continue reading “How to Optimize Government Digital Services with Enteros Database Software, Operational Intelligence, and AI-Powered Analytics”