Preamble
The PostgreSQL UPDATE statement is used to update existing table entries in a PostgreSQL database.
The syntax for the UPDATE statement when updating a single table in PostgreSQL
UPDATE table
SET column1 = expression1_id | DEFAULT,
column2 = expression2_id | DEFAULT,
…
[WHERE conds];
Parameters and arguments of the statement
- column1, column2 – Columns that you want to update.
- expression1_id, column2_id – New values for assigning column1, column2. Therefore, column1 will be assigned the value expression1, column2 will be assigned the value2, etc.
- DEFAULT – The default value for this particular column in the table. If the default value for a column is not set, the column will be set to NULL.
- WHERE conds – Optional. The conditions that must be met to perform the update. If no conditions are set, all entries in the table will be updated.
Example of how to update a single column
Let’s look at a very simple example of a PostgreSQL UPDATE query.
UPDATE contacts
SET first_name = 'Helen'
WHERE contact_id = 35;
In this example, the value of first_name will be updated to ‘Helen’ in the contacts table, where contact_id is 35.
You can also use the keyword DEFAULT to set the default value for the column.
For example,
UPDATE contacts
SET first_name = DEFAULT
WHERE contact_id = 35;
In this example, the first_name will be updated to the default value for the field in the contacts table, where contact_id is 35. If the default value is not present in the contacts table, the first_name column will be set to NULL.
Example how to update several columns
Consider the UPDATE example for PostgreSQL, where you can update several columns with one UPDATE statement.
UPDATE contacts
SET city = 'Abilene',
state = 'Beaumont'
WHERE contact_id >= 200;
If you want to update multiple columns, you can do so by separating the column/value pairs with commas.
In this PostgreSQL example of UPDATE, the value of the city will be changed to ‘Abilene’ and the state will be changed to ‘Beaumont’ where contact_id is greater than or equal to 200.
PostgreSQL: How to Update Records | 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
The Business Benefits of Real-Time Database Performance Analytics in Cloud-Native Environments
- 9 June 2026
- Database Performance Management
In today’s digital economy, speed, reliability, and scalability are no longer optional—they are fundamental business requirements. Organizations across industries are rapidly adopting cloud-native architectures to support digital transformation initiatives, improve operational agility, and deliver exceptional customer experiences. Cloud-native environments enable businesses to deploy applications faster, scale dynamically, and innovate more efficiently. However, these benefits also … Continue reading “The Business Benefits of Real-Time Database Performance Analytics in Cloud-Native Environments”
How to Modernize Retail Cost Management with Enteros Database Performance Intelligence and Cost Estimation
- 8 June 2026
- Database Performance Management
Introduction The retail industry is undergoing a significant digital transformation as organizations invest heavily in ecommerce platforms, omnichannel experiences, customer engagement technologies, and cloud-native infrastructures. While these innovations help retailers improve customer experiences and accelerate growth, they also create new challenges related to operational costs, infrastructure efficiency, and technology performance. Modern retail ecosystems now support: … Continue reading “How to Modernize Retail Cost Management with Enteros Database Performance Intelligence and Cost Estimation”
Why Proactive Database Monitoring Is Essential for Enterprise Application Reliability
In today’s digital-first business environment, enterprise applications are the backbone of critical operations. From customer-facing platforms and financial systems to healthcare applications and SaaS products, organizations rely on applications to deliver seamless experiences, support business processes, and drive revenue growth. As customer expectations continue to rise, application reliability has become a key business differentiator. Users … Continue reading “Why Proactive Database Monitoring Is Essential for Enterprise Application Reliability”
How to Improve Fashion Ecommerce Performance with Enteros Database Analytics and AIOps Automation
Introduction The fashion industry has evolved into one of the most technology-driven sectors in the global economy. Modern fashion brands, retailers, and ecommerce platforms rely heavily on digital technologies to engage customers, manage inventory, personalize shopping experiences, and drive revenue growth. Today’s fashion ecommerce ecosystems support: Online storefronts Mobile shopping applications Inventory management systems Product … Continue reading “How to Improve Fashion Ecommerce Performance with Enteros Database Analytics and AIOps Automation”