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
How to Modernize Financial Infrastructure with Enteros AIOps Platform and Cloud FinOps Intelligence
- 12 March 2026
- Database Performance Management
Introduction The financial sector is undergoing a profound digital transformation. Banks, fintech platforms, payment networks, insurance providers, and investment firms increasingly rely on digital infrastructure to deliver services at scale. From real-time payments and digital banking to fraud detection and AI-driven financial analytics, modern financial institutions operate within highly complex data ecosystems. At the core … Continue reading “How to Modernize Financial Infrastructure with Enteros AIOps Platform and Cloud FinOps Intelligence”
How Healthcare Platforms Improve Cost Attribution with Enteros Database Management, GenAI, and Agentic AI
Introduction The healthcare industry is rapidly transforming through digital innovation. Hospitals, healthcare networks, pharmaceutical companies, and health technology platforms increasingly rely on advanced digital infrastructure to deliver efficient, data-driven care. Electronic health records, telemedicine platforms, medical imaging systems, insurance processing tools, and healthcare analytics platforms all depend on large-scale data environments. Behind these digital systems … Continue reading “How Healthcare Platforms Improve Cost Attribution with Enteros Database Management, GenAI, and Agentic AI”
What Drives Growth in Technology Platforms: Enteros AI SQL, Database Management, and Performance Metrics
- 11 March 2026
- Database Performance Management
Introduction Technology platforms have become the backbone of the modern digital economy. From SaaS products and cloud-native applications to AI-powered analytics and global digital marketplaces, technology enterprises rely on robust infrastructure to deliver reliable, scalable services to millions of users. At the center of these digital ecosystems lies one of the most critical components of … Continue reading “What Drives Growth in Technology Platforms: Enteros AI SQL, Database Management, and Performance Metrics”
How to Modernize Fashion Data Platforms with Enteros Database Management and Generative AI
Introduction The global fashion industry has transformed dramatically in the digital era. Once driven primarily by seasonal collections and physical retail, fashion brands today rely heavily on digital platforms, e-commerce marketplaces, data analytics, and AI-powered customer experiences. From trend forecasting and inventory management to real-time customer engagement, modern fashion businesses are powered by complex data … Continue reading “How to Modernize Fashion Data Platforms with Enteros Database Management and Generative AI”