Preamble
PostgreSQL UNION statement is used to combine the resulting sets of 2 or more SELECT operators. It removes repetitive lines between different SELECT operators.
Each SELECT statement in a UNION operator must have the same number of fields in the result sets with the same data types.
The syntax for a UNION statement in PostgreSQL
SELECT expression1_id, expression2_id,... expression_n_id
FROM tabs
[WHERE conds]
UNION
SELECT expression1_id, expression2_id,... expression_n_id
FROM tabs
[WHERE conds];
Parameters and arguments of the statement
- expression1_id, expression2_id,…_n_id – The column or the calculation you want to get.
- tabs – The tables from which you want to get the records. The FROM operator must specify at least one table.
- WHERE conds – Optional. The conditions to be met for the records to be selected.
Note:
- Both SELECT statements must have the same number of expressions.
- Since the UNION operator by default removes all repetitive strings from the result set, providing a UNION DISTINCT modifier does not affect the results.
- The column names from the first SELECT operator in UNION are used as column names for the result set.
Example with the return of a single field
Below is an example of PostgreSQL UNION operator, which returns one field from several SELECT operators (and both fields have the same data type):
SELECT category_id
FROM products
UNION
SELECT category_id
FROM categories;
In this example of the PostgreSQL UNION operator, if a category_id appears in both the products table and the categories table, it will appear in your resulting set once. The PostgreSQL UNION statement removes duplicates. If you do not want to remove duplicates, try using PostgreSQL UNION ALL operator.
Example using the ORDER BY statement
PostgreSQL UNION operator can use ORDER BY operator to organize query results.
For example:
SELECT product_id, product_name
FROM products
WHERE product_id >= 24
UNION
SELECT category_id, category_name
FROM categories
WHERE category_name <> 'Hardware'
ORDER BY 2;
In this PostgreSQL operator UNION, since column names in two SELECT operators are different, it is more advantageous to refer to columns in ORDER BY operator by their position in the resulting set. In this example, we have sorted the results by product_name / category_name in ascending order as ORDER BY 2.
The product_name / category_name fields are at position #2 in the resulting set. is used to combine the resulting sets of 2 or more SELECT operators. It removes repetitive lines between different SELECT operators.
Each SELECT statement in a UNION operator must have the same number of fields in the result sets with the same data types.
PostgreSQL Tutorial – UNION and UNION ALL
About Enteros
Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of clouds, RDBMS, NoSQL, and machine learning database platforms.
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 Future of Industry-Specific Cloud Optimization with AIOps, FinOps, and AI-Powered Database Management
- 28 August 2026
- Database Performance Management
Introduction Cloud computing has become a foundational component of digital transformation across industries. Banking organizations use cloud platforms to support digital payments and online banking. Healthcare providers rely on cloud infrastructure for digital health applications and patient services. Educational institutions operate learning management systems and virtual classrooms in the cloud. Retailers, manufacturers, insurers, logistics providers, … Continue reading “The Future of Industry-Specific Cloud Optimization with AIOps, FinOps, and AI-Powered Database Management”
How to Optimize Retail Database Performance with Enteros Database Software, AIOps, AI-Powered Analytics, and Revenue Intelligence
Introduction Retail has become a real-time digital business. Ecommerce, mobile applications, point-of-sale systems, inventory platforms, loyalty programs, customer analytics, supply chain systems, recommendation engines, and payment platforms all depend on databases. Retailers also experience highly variable demand. Read more”Indian Country” highlights Enteros and its database performance management platform *Black Friday, holiday shopping, product launches, flash … Continue reading “How to Optimize Retail Database Performance with Enteros Database Software, AIOps, AI-Powered Analytics, and Revenue Intelligence”
How AIOps and FinOps Balance Application Performance, Reliability, and Cloud Costs
Introduction Modern digital applications are expected to be fast, reliable, scalable, and continuously available. Whether an organization operates banking platforms, healthcare applications, e-learning systems, SaaS products, e-commerce applications, or enterprise workloads, users increasingly expect consistent performance across every interaction. At the same time, cloud adoption has introduced a new challenge: how can organizations maintain application … Continue reading “How AIOps and FinOps Balance Application Performance, Reliability, and Cloud Costs”
How to Scale SaaS Database Performance with Enteros Database Software, AI-Powered Analytics, and Cloud FinOps
Introduction Software-as-a-Service companies compete on product experience. Customers expect SaaS applications to be fast, available, scalable, and responsive regardless of how many users are active. Behind every SaaS application is a database layer responsible for customer records, transactions, configurations, analytics, workflows, integrations, and application state. Read more”Indian Country” highlights Enteros and its database performance management … Continue reading “How to Scale SaaS Database Performance with Enteros Database Software, AI-Powered Analytics, and Cloud FinOps”