SQL RIGHT JOIN – Example and Syntax

SQL RIGHT JOIN – Example and Syntax

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Vikram
Vikram Singh
Assistant Manager - Content
Updated on Mar 31, 2023 16:40 IST

Right Join in the sql returns all the rows from the right table and the matching entries from both tables. In this article, we will discuss how to use right join in sql with WHERE clause, GROUP BY clause, and ORDER BY clause.

2022_08_Right-JOIN.jpg

In the previous articles, we have briefly discussed left join and inner join in SQL with the help of examples. Now, in this article, we will discuss another type of join in SQL, i.e., right join. Similar to the Left and Inner joins in SQL, it is used to extract the data from two or more tables in a little different way.

So, let’s move and explore how right join in SQL works.

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What is SQL Right Join?

Joins in SQL is used to join two tables based on a common column. Right Join returns all the values from the right table and the matching entries from the left table, and if there are some rows that are in the right table but not in the left table, then that row will also be included with the NULL entries.

In simple terms,

  • Right Join returns all the rows from the right table
  • If there is any row in the left table but not in the right table, then that row will not be included in the result 

The below image shows how Right Join works in SQL.

In the above figure, we have two tables, Student (left) and Department (right), and when we right join both the tables, then:

  • All the rows of the department table (right) are included.
  • All the values in the name column are NULL except the Student ID 1004 (since this is the only matching row in both the table)
  • Only one row of the Student table (left) is included (Student Id 1004)

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Syntax

 
SELECT table1.column_name1, table2.column_name1,.....
FROM table1
RIGHT JOIN table2
ON table1.matching_column_name = table2.matching_column_name;
Copy code

Now, let’s have some examples to get a better understanding of SQL Right Join.

Let us have three tables, Student, Department, and Faculty tables:

StudentID Name E-mail Percentage(%) DepartmentID
1001 Ajay ajay@xyz.com 85 1
1002 Babloo babloo@xyz.com 67 2
Chhavi chhavi@xyz.com 89 3
Dheeraj dheeraj@xyz.com 75 4
1005 Evina evina@xyz.com 91 6
1006 Krishna krishna@xyz.com 99 7
1007 vikram vikram@xyz.com 55 2
Student
DepartmentID DepartmentName
1 Mathematics
2 Physics
3 English
Department
DepartmentID FacultyName
1 Piyush
2 Namita
3 Ashneer
4 Ghazal
5 Anupam
Faculty

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Example: Join the Student and Faculty table to extract the record from both the table where Student.DepartmentID = Faculty.DepartmentID.

Query

 
SELECT Student.StudentID, Student.Name, Faculty.FacultyName
FROM Student
RIGHT JOIN Faculty
ON Student.DepartmentID = Faculty.DepartmentID;
Copy code

Output

StudentID Name Faculty
1001 Ajay Piyush
1002 Babloo Namita
NULL Chhavi Ashneer
NULL Dheeraj Ghazal
NULL NULL Anupam
1007 Vikram Namita

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Right Join with WHERE clause

Example: Join the Student and Faculty table to extract the record from both the table where Student.DepartmentID = Faculty.DepartmentID where Student ID is NULL.

Query

 
SELECT Student.StudentID, Student.Name, Faculty.FacultyName
FROM Student
RIGHT JOIN Faculty
ON Student.DepartmentID = Faculty.DepartmentID
WHERE Student.StudentID IS NULL;
Copy code

Output

StudentID Name Faculty
NULL Chhavi Ashneer
NULL Dheeraj Ghazal

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Right Join with GROUP BY and ORDER BY

Example:  Count the number of students in each department using student and department tables.

Query

 
SELECT d.DepartmentID, d.DepartmentName, count(s.Name) AS Number of Student
FROM Student s
RIGHT JOIN Department d
ON s.DepartmentID = d.DepartmentID
GROUP BY d.DepartmentName
ORDER BY d.DepartmentID;
Copy code

Output

DepartmentID Department Name Number of Student
1 Mathematics 1
2 Physics 2
3 English 1

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Conclusion

In this article, we have briefly discussed right join in sql with the help of examples.

Hope this article, will help you in your data science/data analysis journey.

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About the Author
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Vikram Singh
Assistant Manager - Content

Vikram has a Postgraduate degree in Applied Mathematics, with a keen interest in Data Science and Machine Learning. He has experience of 2+ years in content creation in Mathematics, Statistics, Data Science, and Mac... Read Full Bio