Preamble
The Oracle/PLSQL MAX function returns the maximum value of the expression.
Oracle/PLSQL syntax of the MAX function
SELECT MAX(aggregate_expression_id)
FROM tabs
[WHERE conds]
OR syntax for MAX function with results grouped in one or more columns:
SELECT expression1_id, expression2_id, ... expression_n_id,
MAX(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 MAX function and must be included in the GROUP BY statement at the end of the SQL sentence.
- aggregate_expression_id – is a column or expression from which the maximum 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.
The MAX function can be used in the following versions of Oracle/PLSQL
|
Oracle 12c, Oracle 11g, Oracle 10g, Oracle 9i, Oracle 8i
|
Example with a single field
Let’s consider some examples of the MAX function and learn how to use the MAX function in Oracle/PLSQL.
For example, you may want to know what the maximum salary of all employees is.
SELECT MAX(salary_id) AS "Highest Salary" FROM empls;
In this example of the MAX function, the MAX(salary) expression is represented under the “Highest Salary” alias. As a result, “Highest Salary” will be displayed as the field name when the resulting set returns.
Example – using GROUP BY
In some cases, you will need to use GROUP BY grouping with the MAX function.
For example, you could use the MAX function to return the department name and MAX(salary).
SELECT depart, MAX(salary_id) AS "Highest salary".
FROM empls
GROUP BY depart;
Since your SELECT operator has one column that is not encapsulated in the MAX function, you must use the GROUP BY operator. Therefore, the field department must be specified in the operator GROUP BY.
FAQ
Q: I’m trying to get some information out of the table. For simplicity, say the table (report_history) has 4 columns: user_name, report_job_id, report_name and report_run_date.
Each time a report is executed in Oracle, the record is fixed in the table, marking the above information. What I am trying to do is to pull out of this table when and by whom the last single report was run.
My initial request:
SELECT report_name, MAX(report_run_date)
FROM report_history
GROUP BY report_name
works fine. However, this does not give the name of the user who started the report.
Adding user_name to the sample list and to the GROUP BY operator returns a few lines for each report; the results show the last time each person started each report is a question. (i.e. User1 started report1 01-July-14, User2 started report1 01-AUG-14). I don’t want to do this … I just want to know who launched a particular report and when it was last launched.
Any suggestions?
Answer: This is all getting a little more complicated. In the query below, SQL SELECT will return the results you want:
SELECT rh.user_name,
rh.report_name,
rh.report_run_date
FROM report_history rh,
(SELECT MAX(report_run_date) AS maxdate,
report_name
FROM report_history
GROUP BY report_name) maxresults
WHERE rh.report_name = maxresults.report_name
AND rh.report_run_date= maxresults.maxdate;
First, we will assign an alias rh to the first instance of the report_history table.
Second, we have included two components into the FROM operator. The first of these is the report_history table (alias RH). The second is a subquery with the nickname maxresults:
(SELECT MAX(report_run_date) AS maxdate, report_name
FROM report_history
GROUP BY report_name) maxresults
We have the alias MAX(report_run_date) as maxdate and the alias of the resulting set as maxresults.
Now that we have compiled this query within our FROM, Oracle will allow us to combine these results from our source report_history table. In this way, we have combined the report_name and report_run_date fields of the table with the aliases rh and maxresults. This allows us to get report_name, MAX(report_run_date), and user_name.
Using the MAX and MIN functions (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
Why BFSI Leaders Are Turning to Enteros for Database Optimization, AI Ops, and Cloud FinOps Excellence
- 16 April 2026
- Database Performance Management
Introduction The Banking, Financial Services, and Insurance (BFSI) sector is undergoing a massive digital transformation. With the rise of digital banking, real-time payments, fraud detection systems, and AI-driven financial services, organizations are becoming increasingly dependent on high-performance data infrastructure. From managing millions of transactions per second to enabling real-time risk analysis and personalized customer experiences, … Continue reading “Why BFSI Leaders Are Turning to Enteros for Database Optimization, AI Ops, and Cloud FinOps Excellence”
How to Optimize Telecom Sector Growth with Enteros AIOps Platform, Resource Metadata, Hierarchy Metadata, Spot Instances, and RevOps Efficiency
Introduction The telecom sector is at the center of global digital transformation, enabling connectivity for billions of users, businesses, and emerging technologies like IoT, 5G, and edge computing. As demand for high-speed, reliable communication services continues to rise, telecom providers are under immense pressure to scale operations efficiently while maintaining performance and controlling costs. However, … Continue reading “How to Optimize Telecom Sector Growth with Enteros AIOps Platform, Resource Metadata, Hierarchy Metadata, Spot Instances, and RevOps Efficiency”
Who Should Adopt Enteros for Retail Growth Management with AI SQL and Cloud FinOps Efficiency
Introduction The retail sector is evolving at an unprecedented pace, driven by digital transformation, omnichannel experiences, and data-driven decision-making. From global eCommerce giants to mid-sized retail chains, businesses are increasingly relying on cloud infrastructure, databases, and analytics platforms to fuel growth. However, this rapid expansion introduces a fundamental challenge:how to scale efficiently while maintaining performance, … Continue reading “Who Should Adopt Enteros for Retail Growth Management with AI SQL and Cloud FinOps Efficiency”
How to Optimize Technology Sector Growth with Enteros Database Management Platform, Cloud FinOps, and RevOps Efficiency
Introduction The technology sector is at the forefront of innovation, powering digital transformation across industries. From SaaS platforms and cloud-native applications to AI-driven solutions, technology companies are scaling rapidly to meet growing global demand. However, this rapid expansion introduces a critical challenge:how to sustain growth while maintaining high-performance systems, controlling cloud costs, and aligning operations … Continue reading “How to Optimize Technology Sector Growth with Enteros Database Management Platform, Cloud FinOps, and RevOps Efficiency”