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
Optimizing Database Performance with Enteros: Revolutionizing Cloud FinOps in the Technology Sector
- 23 January 2025
- Database Performance Management
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Enteros: Streamlining Billing Responsibility and RevOps for Enhanced Database Performance in the Healthcare Sector
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Maximizing Database Performance with Enteros: Empowering the Financial Sector Through Cloud FinOps and RevOps
- 22 January 2025
- Database Performance Management
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Enteros: Harnessing Forecasting and Observability with AIOps for Cost Optimization in the Real Estate Sector
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…