Preamble
PostgreSQL GROUP BY statement is used in the SELECT statement to collect data on several records and group results by one or more columns.
The syntax for GROUP BY statement in PostgreSQL
SELECT expression1_id, expression2_id,. expression_n_id,
aggregate_function
FROM tabs
[WHERE conds]
GROUP BY expression1_id, expression2_id,. expression_n_id;
Parameters and arguments of the statement
- expression1_id, expression2_id,…_n_id – Expressions that are not enclosed in an aggregate function and must be included in the GROUP BY offer.
- aggregate_function – This may be an aggregate function, for example, sum, count, min, max, or avg.
- Tabs – Tables from which you want to get records. At least one table must be specified in the FROM operator.
- WHERE conds – Optional. The conditions that must be met for the records to be selected.
Example using the sum function
Let’s consider an example of PostgreSQL query GROUP BY, which uses the sum function.
In this PostgreSQL example of GROUP BY, the sum function is used to return department names and “Salaries for the department”.
SELECT department, sum(salary_id) AS "Salaries for department".
FROM empls
GROUP BY depart;
Since you specified one column (department field) in your SELECT operator that is not encapsulated in the sum function, you should use the GROUP BY operator. That’s why the department field should be specified in the GROUP BY operator.
Example using the count function
Let’s consider how we could use the GROUP BY operator with the count function.
In this GROUP BY example, the count function is used to return department and “Number of employees” that have status ‘Active’.
SELECT department, count(*) AS "Number of employees"
FROM empls
WHERE status = 'Active'
GROUP BY depart;
Example using min function
Let’s now see how we can use the GROUP BY operator with the min function.
In this GROUP BY example, the function min is used to return department names and “Lowest salary”.
SELECT depart, min(salary_id) AS "Lowest salary".
FROM empls
GROUP BY depart;
Example using max
Finally, let’s see how we can use the GROUP BY operator with the max function.
In this GROUP BY example, the function max is used to get the department name and “Highest salary”.
SELECT department, max(salary_id) AS "Highest salary".
FROM empls
GROUP BY depart;
PostgreSQL: Group By | Course
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 Can Healthcare IT Teams Prepare EHR Databases for Growth and Peak Demand?
- 10 September 2026
- Software Engineering
Healthcare IT teams can prepare EHR databases for growth by monitoring workload trends, forecasting CPU, memory and storage requirements, optimizing high-impact SQL, analyzing concurrency, establishing performance baselines and testing future workloads. Healthcare database capacity planning helps organizations identify resource constraints before they disrupt clinical systems. Enteros provides database observability and predictive intelligence to support proactive … Continue reading “How Can Healthcare IT Teams Prepare EHR Databases for Growth and Peak Demand?”
What Is the Best Way for Telecom Companies to Monitor Database Performance in Real Time?
- 9 September 2026
- Database Performance Management
The best approach to telecom database performance monitoring is continuous, real-time observability across databases, applications, infrastructure, and workloads. Telecom companies should track query latency, resource utilization, waits, connections, anomalies, and configuration changes from a centralized platform. Intelligent telecom database monitoring helps teams identify performance degradation earlier, accelerate root cause analysis, reduce service disruptions, and maintain … Continue reading “What Is the Best Way for Telecom Companies to Monitor Database Performance in Real Time?”
Why Does Database Performance Matter for Faster E-commerce and In-Store Transactions?
Strong ecommerce database performance helps retailers process online and in-store transactions quickly, maintain accurate inventory, and deliver responsive customer experiences. When databases operate efficiently, product searches, checkout requests, payment workflows, and stock updates can complete with fewer delays. Effective database performance for ecommerce also helps businesses handle traffic spikes, identify bottlenecks, maintain availability, and support … Continue reading “Why Does Database Performance Matter for Faster E-commerce and In-Store Transactions?”
How Can SaaS Companies Improve Database Performance as User and API Traffic Grows?
Strong SaaS database performance becomes increasingly important as user activity, API requests, integrations, and application workloads grow. SaaS companies can improve SaaS database performance by monitoring high-impact SQL, understanding multi-tenant workloads, reducing query latency, detecting database bottlenecks, tracking API-driven database demand, optimizing infrastructure utilization, and using database observability to identify emerging performance problems before customers … Continue reading “How Can SaaS Companies Improve Database Performance as User and API Traffic Grows?”