Preamble
PostgreSQL IS NULL condition is used to check the value of NULL in SELECT, INSERT, UPDATE or DELETE operators.
PostgreSQL IS NULL condition
IS expression NULL
Parameters and arguments
- expression – A value to check if it is a NULL value.
Note:
- If the expression is NULL, the condition is evaluated as TRUE.
- If the expression is not a value of NULL, the condition is evaluated as FALSE.
Example of an IS NULL condition with the SELECT operator
Let’s consider an example of using PostgreSQL IS NULL in the SELECT operator:
SELECT *
FROM empls
WHERE first_number IS NULL;
This example of PostgreSQL IS NULL will return all records from the employee table where first_name contains the value NULL.
Example of a condition with the INSERT operator
Then let’s consider an example of using PostgreSQL IS NULL in the INSERT operator:
INSERT INTO contacts
(first_name, last_name)
SELECT first_name, last_name
FROM empls
WHERE empl_number IS NULL;
This example of PostgreSQL IS NULL will insert records into the contacts table where employee_number contains the value NULL.
Example of a condition with UPDATE operator
Next Let’s consider an example of using PostgreSQL IS NULL in UPDATE operator:
UPDATE empls
SET status = 'Not Active'
WHERE last_name IS NULL;
This example of PostgreSQL IS NULL will update records in the employee table where last_name contains the value NULL.
Example of a condition with the DELETE operator
Next Let’s consider an example of using PostgreSQL IS NULL in DELETE operator:
DELETE FROM empls
WHERE empl_number IS NULL;
This example of PostgreSQL IS NULL will remove all records from the contacts table where employee_number contains the value NULL.
PostgreSQL: Coalesce | 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
How to Achieve Intelligent Budgeting with Enteros Cloud Bill Analytics and AI SQL
- 15 May 2026
- Database Performance Management
Introduction As organizations continue accelerating digital transformation initiatives, cloud adoption has become essential for supporting scalability, agility, and innovation. Enterprises across industries now rely on cloud-native applications, distributed infrastructures, data analytics platforms, and AI-driven services to power modern operations. However, while cloud environments provide flexibility and scalability, they also introduce significant financial and operational complexity. … Continue reading “How to Achieve Intelligent Budgeting with Enteros Cloud Bill Analytics and AI SQL”
How to Improve Banking System Reliability with Enteros Database Software and AI SQL Analytics
Introduction The banking industry is experiencing rapid digital transformation driven by mobile banking, cloud-native platforms, real-time payment systems, and AI-powered financial services. Customers now expect seamless digital experiences, instant transactions, and uninterrupted banking services across every channel. As banks modernize their operations, maintaining system reliability has become more critical than ever. A single outage, slow … Continue reading “How to Improve Banking System Reliability with Enteros Database Software and AI SQL Analytics”
Enhancing Database Performance and Scalability in Digital Banking Platforms with Advanced Analytics
- 14 May 2026
- Database Performance Management
Introduction Digital banking has transformed the financial services landscape. Customers now expect seamless mobile banking experiences, instant payments, real-time transaction confirmations, and 24/7 service availability. These modern banking services rely heavily on high-performance database infrastructures that support massive transaction volumes and complex analytics workloads. At the core of every digital banking interaction—whether it is a … Continue reading “Enhancing Database Performance and Scalability in Digital Banking Platforms with Advanced Analytics”
How Intelligent Database Analytics Improves Performance and Reliability in Modern E-Learning Platforms
Introduction The global shift toward digital education has transformed how institutions deliver learning experiences. Universities, online learning platforms, corporate training systems, and educational technology companies now rely heavily on digital platforms to deliver courses, manage learning data, and support millions of simultaneous users. Behind every online lecture, virtual classroom, exam submission, and learning analytics dashboard … Continue reading “How Intelligent Database Analytics Improves Performance and Reliability in Modern E-Learning Platforms”