SQL FULL JOIN | SQL Full Outer Join

The SQL Full Join or Full Outer Join is a SQL Join Type used to return all the records (or rows) present in both the Left table and the right table. All the Unmatched rows filled with NULL Values.

The SQL Server Full Outer join can also call as Full Join. So it is optional to use the Outer Keyword. Let us see the visual representation of the SQL Full join for better understanding.

From the above image, you can understand easily that the Sql Server Full Outer join displays all the records present in Table 1 and Table 2

SQL Full Join Syntax

The syntax of the Full Join in SQL Server is as shown below:

-- SQL Server FULL JOIN Syntax
SELECT Table1.Column(s), Table2.Column(s),
FROM Table1
 FULL OUTER JOIN
     Table2 ON
   Table1.Common_Column = Table2.Common_Column

--OR We can Simply Write it as
SELECT Table1. Column(s), Table2. Column(s),
FROM Table1
 FULL JOIN
     Table2 ON
   Table1.Common_Column = Table2.Common_Column

For this SQL Server Full Join demonstration, We are going to use two tables (Employee and Department) present in our [SQL Server Tutorials] Database.

Data present in the Employee Table is:

Data present in the SQL Server Department Table is:

Full Join Select All Columns

The following Sql Server Full Outer Join Select all columns query will display all the columns and rows present in Employees and Department tables

-- SQL Server FULL JOIN Example
SELECT *
FROM [Employee]
 FULL OUTER JOIN
     [Department] ON
 [Employee].[DepartID] = [Department].[id]

OUTPUT

If you observe the above screenshot, Although We have 15 records in the Employee table, SQL Full Outer Join is displaying 17 records. It is because there are two records in the Department table, i.e., Department Id 3, 4 (Module Lead and Team Lead), so 15 + 2 = 17 total records.
For Department Id 3 and 4 (Module Lead and Team Lead), there are no matching records in the Employees table, so NULLS replaces them.
ID number 10, 11, 14 and 15 of [DepartID], id, [Department Name], it is displaying NULL Values. It is because the Department Id for them in the Employee table is NULLS, so there are no matching records in the right table.

Full Join without Outer keyword

As we said before, it is optional to use an Outer keyword in this Join type. Let me remove the Outer keyword, and work will FULL JOIN

-- SQL Server FULL JOIN Example
SELECT *
FROM [Employee]
 FULL JOIN
     [Department] ON
 [Employee].[DepartID] = [Department].[id]

OUTPUT

NOTE: The [Department ID] column is repeated twice, which is annoying to the user. By selecting individual column names we can avoid unwanted columns so, Please avoid SELECT * Statements in Full Join

Full Join Select Few Columns

Please place the required columns after the SELECT Statement to avoid unwanted columns in full outer join

-- SQL Server FULL JOIN Example
SELECT [FirstName]
      ,[LastName]
      ,[DepartmentName]
FROM [Employee]
  FULL JOIN
     [Department] ON
  [Employee].[DepartID] = [Department].[id]

OUTPUT

Above SQL Full Join query will perfectly work as long as the column names from both tables (Employee and Department) are different like above.

What happens if we have the same Column names in both the tables? Well, you will end up in a mess. Let us see how to resolve the issue.

Before we get into the solution, let me show you one practical example. As you can see, we are using the above query. Still, we added id from the department table as an additional column.

-- SQL Server FULL JOIN Example
SELECT [FirstName]
      ,[LastName]
      ,id
      ,[DepartmentName]
FROM [Employee]
FULL OUTER JOIN
     [Department] ON
           [Employee].[DepartID] = [Department].[id]

As you can see from the below screenshot, it is throwing an error: Ambiguous column name id. It is because the id column is present in both Employee and department table. And SQL Server doesn’t know which column you are asking it to retrieve.

To resolve this kind of issue, you always have to use the table name before the column name.

The following Full outer Join query is using the ALIAS table name before the column names. By this approach, we can inform the SQL Server that we are looking for id column belonging to the department table.

We can write the above query as:

-- SQL Server FULL JOIN Example
SELECT Emp.[FirstName] AS [First Name]
      ,Emp.[LastName] AS [Last Name]
	  ,Dept.id 
      ,Dept.[DepartmentName] AS [Department Name]
FROM [Employee] AS Emp
FULL JOIN
     [Department] AS Dept ON
          Emp.[DepartID] = Dept.[id]

OUTPUT

SQL Full Join Where Clause

The Full Outer Join also allows us to use Where Clause to restrict the number of rows returned by the Full Join. In this example, we will use that WHERE Clause along with the Full Join.

-- SQL Server FULL JOIN Example
SELECT Emp.[FirstName] AS [First Name]
      ,Emp.[LastName] AS [Last Name]
      ,Dept.[DepartmentName] AS [Department Name]
FROM [Employee] AS Emp
  FULL OUTER JOIN
     [Department] AS Dept ON
    Emp.[DepartID] = Dept.[id]
WHERE Dept.[DepartmentName] IS NOT NULL

OUTPUT

SQL Full Join Order By Clause

The Full outer Join allows us to use Order By Clause in Full Join to rearrange the order of the records.

-- SQL Server FULL JOIN Example
SELECT Emp.[FirstName] AS [First Name]
      ,Emp.[LastName] AS [Last Name]
      ,Dept.[DepartmentName] AS [Department Name]
FROM [Employee] AS Emp
  FULL OUTER JOIN
     [Department] AS Dept ON
    Emp.[DepartID] = Dept.[id]
ORDER BY [DepartmentName] ASC

OUTPUT