Data Archive

SQL Groupby

The SQL GROUP BY clause is used to group rows that have the same values in specified columns into summary rows, like “total sales per region” or “average age per department.”

It is often used in conjunction with aggregate functions such as COUNT(), SUM(), AVG(), MAX(), and MIN() to perform calculations on each group.

Basic Syntax

SELECT column1, aggregate_function(column2)
FROM table_name
WHERE condition
GROUP BY column1;

Example Usage

Let’s say you have a table called sales with the following columns:

  • id: Unique identifier for each sale
  • product: The name of the product sold
  • amount: The sale amount
  • region: The region where the sale occurred

1. Count the Number of Sales per Product

To count how many sales were made for each product, you would use:

SELECT product, COUNT(*) AS total_sales
FROM sales
GROUP BY product;

2. Calculate Total Sales Amount per Region

To calculate the total sales amount for each region, you would use:

SELECT region, SUM(amount) AS total_sales_amount
FROM sales
GROUP BY region;

Using HAVING with GROUP BY

You can also filter the results of a GROUP BY query using the HAVING clause. This is useful when you want to filter groups based on aggregate values.

Example: Filter Groups

For example, to find products with total sales greater than $1000:

SELECT product, SUM(amount) AS total_sales_amount
FROM sales
GROUP BY product
HAVING SUM(amount) > 1000;

Important Points

  • Columns in SELECT: When using GROUP BY, all columns in the SELECT statement must either be included in the GROUP BY clause or be used in an aggregate function.
  • Order of Execution: The GROUP BY clause is processed after the WHERE clause but before the ORDER BY clause in the SQL execution order.

SQL Groupby Tags:data_transformation querying

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