Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://www.geeksforgeeks.org/postgresql/postgresql-group-by-clause/ below:

PostgreSQL - GROUP BY clause

Last Updated : 12 Jul, 2025

The GROUP BY clause in PostgreSQL is an essential tool that allows us to group rows that share the same values in one or more columns. This powerful functionality is commonly used to perform aggregate calculations such as SUM(), COUNT(), AVG(), and more, enabling us to summarize data efficiently.

In this article, we will explain the usage of the GROUP BY clause in PostgreSQL, explore practical examples, and understand how to effectively use it with aggregate functions.

The GROUP BY clause groups rows in a table based on the values of one or more specified columns. After grouping, aggregate functions such as SUM(), COUNT(), and AVG() are applied to each group to calculate summary statistics. This allows us to generate more meaningful insights from our data. Whether we are analyzing sales transactions, counting occurrences, or calculating averages, the GROUP BY clause plays a key role in SQL queries.

Syntax

SELECT 
   column_1, 
   column_2,
   computing_function(column_3)
FROM 
   table_name
GROUP BY 
   column_1,
   column_2;

Key Terms

• column_1, column_2: Columns by which the data will be grouped.
  
• aggregate_function(column_3): A function such as SUM(), AVG(), or COUNT() that operates on the grouped data.
  
• table_name: The name of the table from which the data is selected.
  
• GROUP BY: This clause groups the result set based on the values of the specified columns.

Note: It is important to note that The GROUP BY clause must exactly appear after the FROM or WHERE clause. Additionally, any column that is not used in an aggregate function must appear in the GROUP BY clause.

For the better understand of this article we will be using the sample DVD rental database, which is explained here and can be downloaded by clicking on this link in our examples. Let us take a look at some of the examples of the GROUP BY clause in PostgreSQL to better understand the concept.

Here we will query for data from the payment table and group the result by 'customer_id' from the "payment" table of our sample database. This query will return a list of unique customer IDs.

Query:

SELECT
   customer_id
FROM
   payment
GROUP BY
   customer_id;

Output

Here we will query to get the amount that each customer has paid till date and use an aggregate function (ie SUM()), to do so and group them by 'customer_id' from the "payment" table of the sample database.

Query:

SELECT
    customer_id,
    SUM (amount) 
FROM
    payment
GROUP BY
    customer_id;

Output

In this example, we will count the number of payment transactions processed by each staff member. We will group the rows in the payment table based on 'staff_id' and use the COUNT() function to get the number of transactions. This query will return the number of transactions processed by each staff member.

Query:

SELECT
    staff_id,
    COUNT (payment_id)
FROM
    payment
GROUP BY
    staff_id;

Output

• The GROUP BY clause is used to aggregate data based on one or more columns.
  
• The GROUP BY clause must appear after the FROM and WHERE clauses in a SQL query. The order of execution ensures that data is filtered before being grouped.
  
• Only the columns listed in the GROUP BY clause or aggregate functions can be included in the SELECT statement.
  
• NULL values in GROUP BY clauseare treated as a single group.

The GROUP BY clause in PostgreSQL is a powerful feature for summarizing data based on one or more columns. By using aggregate functions like SUM(), COUNT(), and AVG(), we can perform essential data analysis within our SQL queries. Whether we are summarizing payments, counting transactions, or calculating averages, mastering the GROUP BY clause is essential for effective data analysis in PostgreSQL.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4