Preamble
The Oracle/PLSQL SUM function returns the total value of the expression.
Oracle/PLSQL syntax of SUM function
SELECT SUM(aggregate_expression_id)
FROM tabs
[WHERE conds]
OR syntax for SUM function with results grouped by one or more columns:
SELECT expression1_id, expression2_id, ... expression_n_id,
SUM(aggregate_expression_id)
FROM tabs
[WHERE conds]
GROUP BY expression1_id, expression2_id, ... expression_n_id;
Parameters and arguments of the function
- expression1_id, expression2_id, … expression_n_id – expressions that are not encapsulated in the SUM function and must be included in the GROUP BY operator at the end of the SQL query.
- aggregate_expression_id – is a column or expression to be summed up.
- tabs – tables, from which you want to get records. At least one table must be specified in FROM operator.
- WHERE conds – optional. These are the conditions that must be met for the selected records.
The SUM function returns a numeric value.
SUM function can be used in the following versions of Oracle/PLSQL
|
Oracle 12c, Oracle 11g, Oracle 10g, Oracle 9i, Oracle 8i
|
One Field Example
Let’s consider some examples of SUM function and learn how to use SUM function in Oracle/PLSQL.
For example, you may want to know what the total aggregate salary of all employees, whose salary exceeds $ 50,000 per year.
SELECT SUM(salary_id) AS "Total Salary".
FROM empls
WHERE salary_id > 50,000;
In this example of the SUM function we used the nickname “Total Salary” for SUM(salary_id). As a result, “Total Salary” will be displayed as a field name when returning the resulting set.
Example – using DISTINCT
You can use DISTINCT operator in SUM function. For example, the following SQL operator returns the total total salary with unique values of salaries, where the salary exceeds $ 50,000 per year.
SELECT SUM(DISTINCT salary_id) AS "Total Salary"
FROM empls
WHERE salary_id > 50,000;
If the salary were $80,000 per year, only one of these values would be used in the SUM function.
Example – using a formula
The expression contained in the SUM function does not have to be a single field. You can also use a formula. For example, you can calculate the total commission.
SELECT SUM(sales * 0.05) AS "Total Commission"
FROM ords;
Example – using GROUP BY
In some cases, you will need to use SUM function in GROUP BY operator.
For example, you could also use the SUM function to return the name of department and SUM(sales) (total sales in the corresponding department).
SELECT depart,
SUM(sales) AS "Total sales"
FROM order_details
GROUP BY depart;
Since your SELECT operator has one column that is not encapsulated in the SUM function, you must use the GROUP BY operator. Therefore the department field must be specified in the GROUP BY section.
The SUM Function (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 Optimize Retail Sector Growth with Enteros Cloud FinOps, RevOps Efficiency, Cost Attribution, Cost Estimation, and AI SQL
- 9 April 2026
- Database Performance Management
Introduction The retail sector is undergoing a rapid transformation driven by eCommerce expansion, omnichannel experiences, AI-powered personalization, and data-driven decision-making. Retailers today operate across multiple platforms—online stores, mobile apps, physical outlets, and global marketplaces—creating highly complex and data-intensive environments. As retail businesses scale, they face a critical challenge:how to drive growth while controlling costs, optimizing … Continue reading “How to Optimize Retail Sector Growth with Enteros Cloud FinOps, RevOps Efficiency, Cost Attribution, Cost Estimation, and AI SQL”
How to Optimize Healthcare Growth Management with Enteros Database Performance and AIOps Platform
Introduction The healthcare sector is rapidly evolving with the adoption of digital technologies such as electronic health records (EHRs), telemedicine, AI-driven diagnostics, and real-time patient monitoring. These innovations are transforming how healthcare providers deliver services, improve patient outcomes, and manage operations. However, as healthcare organizations scale, they face a critical challenge:how to manage growth efficiently … Continue reading “How to Optimize Healthcare Growth Management with Enteros Database Performance and AIOps Platform”
How to Drive eCommerce Revenue Growth with Enteros Growth Management, RevOps Efficiency, and Cloud FinOps
- 8 April 2026
- Database Performance Management
Introduction The eCommerce sector has witnessed explosive growth over the past decade, fueled by digital transformation, mobile shopping, AI-driven personalization, and global online marketplaces. From startups to enterprise retailers, businesses are scaling rapidly to meet rising customer expectations for speed, convenience, and seamless experiences. However, this rapid growth introduces a critical challenge:how to increase revenue … Continue reading “How to Drive eCommerce Revenue Growth with Enteros Growth Management, RevOps Efficiency, and Cloud FinOps”
How to Drive Healthcare Sector Performance Growth with Enteros Database Management and AI SQL Optimization
Introduction The healthcare sector is undergoing a significant digital transformation driven by electronic health records (EHRs), telemedicine, AI-powered diagnostics, and real-time patient monitoring systems. Healthcare organizations are increasingly relying on data to deliver better patient outcomes, improve operational efficiency, and ensure regulatory compliance. However, with the exponential growth of healthcare data comes a major challenge:how … Continue reading “How to Drive Healthcare Sector Performance Growth with Enteros Database Management and AI SQL Optimization”