SQL FULL OUTER JOIN

Summary: in this tutorial, you will learn how to use SQL FULL OUTER JOIN clause to query data from multiple tables.

Introduction to SQL FULL OUTER JOIN clause

In theory, a full outer join is the combination of a left join and a right join. The full outer join includes all rows from the joined tables whether or not the other table has the matching row.

If the rows in the joined tables do not match, the result set of the full outer join contains NULL values for every column of the table that lacks a matching row. For the matching rows, a single row that has the columns populated from the joined table is included in the result set.

The following statement illustrates the syntax of the full outer join of two tables:

SELECT column_list
FROM A
FULL OUTER JOIN B ON B.n = A.n;Code language: SQL (Structured Query Language) (sql)

Note that the OUTER keyword is optional.

The following Venn diagram illustrates the full outer join of two tables.

SQL FULL OUTER JOIN examples

Let’s take an example of using the FULL OUTER JOIN clause to see how it works.

First, create two new tables: baskets and fruits for the demonstration. Each basket stores zero or more fruits and each fruit can be stored in zero or one basket.

CREATE TABLE fruits (
	fruit_id INTEGER PRIMARY KEY,
	fruit_name VARCHAR (255) NOT NULL,
	basket_id INTEGER
);Code language: SQL (Structured Query Language) (sql)

CREATE TABLE baskets (
	basket_id INTEGER PRIMARY KEY,
	basket_name VARCHAR (255) NOT NULL
);Code language: SQL (Structured Query Language) (sql)

Second, insert some sample data into the baskets and fruits tables.

INSERT INTO baskets (basket_id, basket_name)
VALUES
	(1, 'A'),
	(2, 'B'),
	(3, 'C');
Code language: SQL (Structured Query Language) (sql)

INSERT INTO fruits (
	fruit_id,
	fruit_name,
	basket_id
)
VALUES
	(1, 'Apple', 1),
	(2, 'Orange', 1),
	(3, 'Banana', 2),
	(4, 'Strawberry', NULL);Code language: SQL (Structured Query Language) (sql)

Third, the following query returns each fruit that is in a basket and each basket that has a fruit, but also returns each fruit that is not in any basket and each basket that does not have any fruit.

SELECT
	basket_name,
	fruit_name
FROM
	fruits
FULL OUTER JOIN baskets ON baskets.basket_id = fruits.basket_id;Code language: SQL (Structured Query Language) (sql)

 basket_name | fruit_name
-------------+------------
 A           | Apple
 A           | Orange
 B           | Banana
 (null)      | Strawberry
 C           | (null)Code language: SQL (Structured Query Language) (sql)

As you see, the basket C does not have any fruit and the Strawberry is not in any basket.

You can add a WHERE clause to the statement that uses the FULL OUTER JOIN clause to get more specific information.

For example, to find the empty basket, which does not store any fruit, you use the following statement:

SELECT
	basket_name,
	fruit_name
FROM
	fruits
FULL OUTER JOIN baskets ON baskets.basket_id = fruits.basket_id
WHERE
	fruit_name IS NULL;Code language: SQL (Structured Query Language) (sql)

 basket_name | fruit_name
-------------+------------
 C           | (null)
(1 row)Code language: SQL (Structured Query Language) (sql)

Similarly, if you want to see which fruit is not in any basket, you use the following statement:

SELECT
	basket_name,
	fruit_name
FROM
	fruits
FULL OUTER JOIN baskets ON baskets.basket_id = fruits.basket_id
WHERE
	basket_name IS NULL;Code language: SQL (Structured Query Language) (sql)

 basket_name | fruit_name
-------------+------------
(null)       | Strawberry
(1 row)Code language: SQL (Structured Query Language) (sql)

In this tutorial, we have shown you how to use the SQL FULL OUTER JOIN clause to query data from multiple tables.