Learning SQL: GROUP BY

#sql

What is GROUP BY Clause?

The GROUP BY clause groups rows that have the same values in specified columns into summary rows. It’s often used with aggregate functions like COUNT, SUM, AVG, MIN, and MAX to perform calculations on each group. For example, you can use GROUP BY to calculate the total sales for each product category or count the number of employees in each department.

How Does GROUP BY Work?

GROUP BY works by combining rows with matching values in the specified columns. Once the rows are grouped, aggregate functions are applied to each group to produce a single result per group.

Basic Syntax:

SELECT
    column1,
    column2,
    aggregate_function(column3)
FROM table_name
GROUP BY column1, column2;

Example:

Imagine you have a table called orders with the following columns: order_id, customer_id, order_date, and order_amount. You want to calculate the total order amount for each customer. Here’s how you can do it:

SELECT
    customer_id,
    SUM(order_amount) AS total_amount
FROM orders
GROUP BY customer_id;

What Happens Here?

  • The GROUP BY clause groups the rows by customer_id.
  • The SUM function calculates the total order_amount for each customer.
  • The result will show one row per customer, with their total order amount.

Key Points to Remember

  1. Aggregate Functions:
    • Use functions like SUM, COUNT, AVG, etc., to perform calculations on grouped data.
  2. Columns in SELECT:
    • Columns in the SELECT statement must either be in the GROUP BY clause or used with an aggregate function.
  3. Order of Execution:
    • GROUP BY is executed after the WHERE clause (if present) and before the HAVING clause.

Recap

  • GROUP BY groups rows with the same values in specified columns.
  • Use aggregate functions to perform calculations on grouped data.
  • Be mindful of performance when working with large datasets.

By mastering GROUP BY, you can efficiently summarize and analyze data in SQL. Keep this guide handy for quick reference!

Resources

PostgreSQL GROUP BY

Thank you

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