Preamble
The Oracle/PLSQL MIN function returns the minimum value of the expression.
Oracle/PLSQL syntax of MIN function
SELECT MIN(aggregate_expression_id)
FROM tabs
[WHERE conds]
OR syntax for MIN function with results grouped in one or more columns:
SELECT expression1_id, expression2_id, ... expression_n_id,
MIN(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 MIN function must be included in the GROUP BY operator at the end of the SQL sentence.
- aggregate_expression_id – is a column or expression from which the minimum value will be returned.
- 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.
MIN function in the following versions of Oracle/PLSQL
|
Oracle 12c, Oracle 11g, Oracle 10g, Oracle 9i, Oracle 8i
|
One Field Example
Let’s consider examples of the MIN function and learn how to use the MIN function in Oracle/PLSQL.
For example, you will want to know what is the minimum wage for all employees.
SELECT MIN(salary_id) AS "Lowest Salary"
FROM empls;
The query above will return the minimum wage for all employees from the employees table.
Example – Using GROUP BY
In some cases, you may need to use GROUP BY with MIN function.
For example, you might also want to use the MIN function to return the department and MIN(salary) to the department.
SELECT depart, MIN(salary_id) AS "Lowest salary".
FROM empls
GROUP BY depart;
Since your SELECT operator has one column that is not encapsulated in the MIN function, you must use GROUP BY. Therefore, the department field must be specified in the GROUP BY operator.
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
Cost Transparency for Finance: How Enteros Database Software Powers Cost Attribution and RevOps Efficiency
- 16 March 2026
- Database Performance Management
Introduction Financial institutions today operate in a highly data-driven and technology-intensive environment. From digital banking platforms and trading systems to fraud detection engines and regulatory reporting tools, modern financial operations depend on complex data infrastructures that process enormous volumes of transactions every second. As financial organizations continue to modernize their technology stacks—moving to cloud environments, … Continue reading “Cost Transparency for Finance: How Enteros Database Software Powers Cost Attribution and RevOps Efficiency”
Cloud FinOps for Banking: How Enteros Database Management Platform Enables Intelligent Cost and Performance Control
Introduction The banking industry is experiencing one of the most significant technological transformations in its history. Digital banking platforms, real-time payments, mobile applications, open banking APIs, fraud detection systems, and AI-driven financial services are reshaping how financial institutions operate and deliver value to customers. Behind these digital services lies a complex technology infrastructure powered by … Continue reading “Cloud FinOps for Banking: How Enteros Database Management Platform Enables Intelligent Cost and Performance Control”
Intelligent Healthcare IT: How Enteros AI SQL and Database Management Enable Growth Performance
- 15 March 2026
- Database Performance Management
Introduction The healthcare industry is undergoing a profound digital transformation. Hospitals, healthcare networks, research institutions, pharmaceutical companies, and digital health platforms are rapidly adopting technology to improve patient care, operational efficiency, and clinical outcomes. Electronic health records (EHR), telemedicine systems, medical imaging platforms, clinical analytics tools, and healthcare data exchanges are now essential components of … Continue reading “Intelligent Healthcare IT: How Enteros AI SQL and Database Management Enable Growth Performance”
How Fashion Brands Optimize Digital Growth with Enteros AI SQL and Database Performance Intelligence
Introduction The fashion industry has evolved dramatically over the past decade. What was once a primarily design-driven and retail-focused sector has become a technology-powered global ecosystem fueled by digital commerce, real-time analytics, omnichannel retail platforms, and data-driven customer experiences. Fashion brands now operate across e-commerce platforms, mobile applications, supply chain systems, CRM tools, marketing automation … Continue reading “How Fashion Brands Optimize Digital Growth with Enteros AI SQL and Database Performance Intelligence”