Preamble
In this tutorial you will learn how to use Oracle ALIASES (aliases for columns or tables) with syntax and examples.
Oracle ALIASES can be used to create an alias for a column or table.
ALIASES columns are used to simplify the reading of columns in your resulting set.
ALIASES tables are used to shorten your SQL code to make it easier to read or when you make a standalone connection (i.e.: enumerating the same table more than once in the FROM sentence).
Syntax for ALIAS columns in Oracle / PLSQL
column_name AS alias_name
OR
Syntax for ALIAS tables in Oracle / PLSQL
table_name alias_name
Parameters or arguments
- column_name – the original name of the column to which you want to specify an alias.
- table_name – the initial name of the table to which you want to specify an alias.
- alias_name – the nickname for the destination.
Note: If alias_name contains spaces, you must quote alias_name.
Example of ALIAS as a column
Typically, aliases are used to simplify the reading of column headers in your resulting set. For example, when fields are concatenated, you may get the following result.
For example:
SELECT contact_id, first_name || last_name AS NAME
FROM contacts
WHERE last_name = 'Anderson';
In this example, we replaced the second column (that is: first_name and last_name concatenated) as NAME. The result is that the NAME will appear as the header for the second column when the resulting set is returned.
Since our alias_name contains no spaces, we do not have to wrap alias_name in quotes.
However, it would be acceptable to write this example using quotes as follows:
SELECT contact_id, first_name || last_name AS "NAME"
FROM contacts
WHERE last_name = 'Anderson';
Then let’s take a look at an example where we should quote alias_name.
For instance:
SELECT contact_id, first_name || last_name AS "CONTACT NAME"
FROM contacts
WHERE last_name = 'Anderson';
In this example, we changed the second column (i.e.: first_name and last_name were concatenated) to “CONTACT NAME”. Since there are spaces in this alias, “CONTACT NAME” must be enclosed in quotes.
Example ALIAS table
When you create an alias for a table, this is either because you plan to list the same table name more than once in the FROM sentence (i.e.: join), or you want to shorten the table name to make the SQL statement shorter and easier to read.
Let’s take the example of ALIAS table name in Oracle / PLSQL.
For example:
SELECT p.product_id, p.product_name, categories.category_name
FROM products p
INNER JOIN categories
ON p.category_id = categories.category_id
ORDER BY p.product_name ASC, categories.category_name ASC;
In this example, we created an alias for the products p. table. In this SQL instruction, we can now refer to the products table as p.
When creating table aliases, there is no need to create aliases for all tables listed in the FROM sentence. You can create aliases for any or all tables.
For example, we could change our example above and create an alias for the table in this way.
SELECT p.product_id, p.product_name, c.category_name
FROM products p
INNER JOIN categories c
ON p.category_id = c.category_id
ORDER BY p.product_name ASC, c.category_name ASC;
We now have an alias for the categories c table, and an alias for the products p table.
What are Table Aliases? (Introduction to Oracle SQL)
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
Enteros Guide to Enhancing Customer Experience Through Intelligent Database Performance Management
- 29 May 2026
- Database Performance Management
In today’s digital-first economy, customer experience has become one of the most important competitive differentiators for businesses across every industry. Customers expect applications and digital platforms to deliver fast response times, uninterrupted availability, seamless transactions, and personalized interactions at all times. Whether customers are using banking applications, SaaS platforms, e-commerce websites, healthcare portals, telecommunications systems, … Continue reading “Enteros Guide to Enhancing Customer Experience Through Intelligent Database Performance Management”
Boost Digital Customer Experience with Proactive Database Performance Optimization
In today’s digital economy, customer experience has become the foundation of business success. Customers expect every digital interaction — whether through mobile apps, SaaS platforms, e-commerce websites, financial systems, or customer portals — to be fast, seamless, reliable, and always available. A slow-loading application, delayed transaction, failed login, or service outage can instantly damage customer … Continue reading “Boost Digital Customer Experience with Proactive Database Performance Optimization”
How to Optimize Retail Software Performance with Enteros RevOps Automation and Database Analytics
Introduction The retail industry is evolving rapidly as organizations modernize operations, expand digital commerce platforms, and adopt cloud-native technologies to improve customer experiences, operational efficiency, and business scalability. Modern retail ecosystems now support: Ecommerce platforms Omnichannel retail operations Customer engagement applications Inventory management systems AI-driven recommendation engines Retail analytics platforms Cloud-native retail infrastructures Real-time transaction … Continue reading “How to Optimize Retail Software Performance with Enteros RevOps Automation and Database Analytics”
How to Improve Media Analytics Performance with Enteros Database Optimization
Introduction The media industry is evolving rapidly as organizations accelerate digital transformation initiatives to support streaming services, digital advertising platforms, real-time audience analytics, content delivery systems, and cloud-native media infrastructures. Modern media ecosystems now support: Video streaming platforms Digital advertising systems Audience analytics environments Content management systems Real-time recommendation engines Social media engagement platforms Cloud-native … Continue reading “How to Improve Media Analytics Performance with Enteros Database Optimization”