SQL RIGHT JOIN

The SQL Right Join is used to return all the records present in the Right table and matching rows from the Left table.

The SQL Right join can also be called Right outer Join. So, it is optional to use the Outer Keyword. Remember, All the Unmatched rows from the Left table will fill with NULL Values.

SQL RIGHT JOIN Syntax

The syntax of the SQL Right Join is as follows:

SELECT Table1.Column(s), Table2.Column(s),
FROM Table1
 RIGHT 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
 RIGHT JOIN
     Table2 ON
   Table1.Common_Column = Table2.Common_Column

Let us see the visual representation of the Sql Right join for better understanding.

SQL RIGHT OUTER JOIN

From the above image, you can understand easily that, SQL Server Right Outer join displays all the records present in Table2 and matching records from Table1. For this example, We are going to use two tables in our Database. Data present in the Employee is:

SQL RIGHT JOIN

Data present in the SQL Server Department is:

SQL RIGHT JOIN 0

SQL Right Join Select All Columns

The following SQL Right Join Query will display all the columns present in the Department table, and matching records from the Employees table

SELECT *
FROM [Employee]
 RIGHT OUTER JOIN
     [Department] ON
 [Employee].[DepartID] = [Department].[id]
SQL RIGHT JOIN 1

SQL Right Join without Outer keyword

As we said before, it is optional to use an Outer keyword. Let me remove the Outer keyword, and work will RIGHT JOIN

SELECT *
FROM [Employee]
 RIGHT OUTER JOIN
     [Department] ON
 [Employee].[DepartID] = [Department].[id]
SQL RIGHT JOIN Example 1

Although the Employee table has 15 records, Right join is displaying 13 records. It is because

  • Department Id for 14th and 15th records in Employee table are NULLS, so there are no matching records in the right table.
  • If you observe the 8th and 9th records, they are displaying NULL values. Because in the Employee table, there are no matching records for Department Id 3, 4 (Module Lead and Team Lead) in the Department table. So they are replaced by NULLS.

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 Right Join

SQL Right Join Select Few Columns

Please place the required columns after the SELECT Statement to avoid unwanted columns in Joins.

SELECT [FirstName]
      ,[LastName]
      ,[DepartmentName]
FROM [Employee]
  RIGHT JOIN
     [Department] ON
  [Employee].[DepartID] = [Department].[id]
SQL RIGHT JOIN 2

The above SQL Right Join query will excellently work as long as the column names from both Employee and Department tables are different like above. If they have the same Column names, you get an error. Let us see how to solve the issue.

Here, we used the above right outer join query. However, we added id from the department table as an additional column.

SELECT [FirstName]
      ,[LastName]
      ,id
      ,[DepartmentName]
FROM [Employee]
RIGHT OUTER JOIN
     [Department] ON
           [Employee].[DepartID] = [Department].[id]

As you see, it is throwing an error: Ambiguous column name id. It is because the id column is available in both Employee and department table. And SQL Server doesn’t recognize which column you are claiming.

SQL RIGHT JOIN Example 2

To resolve this kind of concern, practice the table name before the column name. The following right outer join query is using the ALIAS table name before the column names.

By this approach, we can notify the Server that we are looking for id column belonging to the department table.

We can rewrite the earlier SQL right join query as:

SELECT Emp.[FirstName] AS [First Name]
      ,Emp.[LastName] AS [Last Name]
	  ,Dept.id 
      ,Dept.[DepartmentName] AS [Department Name]
FROM [Employee] AS Emp
RIGHT JOIN
     [Department] AS Dept ON
          Emp.[DepartID] = Dept.[id]
SQL RIGHT JOIN Example 3

Right Join Where Clause

It also allows us to use Where Clause to restrict the records returned. In this example, we use WHERE Clause along with the SQL Right Outer Join.

SELECT Emp.[FirstName] AS [First Name]
      ,Emp.[LastName] AS [Last Name]
      ,Dept.[DepartmentName] AS [Department Name]
FROM [Employee] AS Emp
RIGHT JOIN
     [Department] AS Dept ON
          Emp.[DepartID] = Dept.[id]
WHERE Emp.[FirstName] IS NOT NULL
SQL RIGHT JOIN Example 4

SQL Right Join Order By Clause

It allows us to use Order By Clause to rearrange the order of the records.

SELECT Emp.[FirstName] AS [First Name]
      ,Emp.[LastName] AS [Last Name]
      ,Dept.[DepartmentName] AS [Department Name]
FROM [Employee] AS Emp
 RIGHT JOIN
     [Department] AS Dept ON
    Emp.[DepartID] = Dept.[id]
ORDER BY [FirstName] ASC
SQL RIGHT JOIN 3