SQL Right Join

Updated June 16, 2023

Introduction to SQL RIGHT Join

RIGHT Join gets all the rows from the Right table and the common rows of both tables. In this topic, we will learn about SQL RIGHT Join, So let us take an example of RIGHT Join.

Example: Below represents the Venn diagram of the RIGHT Join.

In the below diagram, Table A is RIGHT Join to Table B. All the rows from Table B and common rows from both tables are considered here.

Syntax:

SELECT * FROM TABLE_A A
RIGHT JOIN TABLE_B B
ON A.Common_COLUMN=B.Common_COLUMN

Full Join: Full Join gets all the rows from both tables. Let us take an example of the RIGHT Join.

Example: Below represents the Venn diagram of the FULL join.

Syntax:

SELECT * FROM TABLE_A A
FULL JOIN TABLE_B B
ON A. Common_COLUMN =B. Common_COLUMN

The result set contains NULL set values. The below syntax can be used to neglect the NULL values.

SELECT * FROM TABLE_A A
FULL JOIN TABLE B B
ON A. Common_COLUMN =B. Common_COLUMN
WHERE A.Common_COLUMN IS NULL
AND A.Common_COLUMN IS NULL

Key Differences of LEFT Join vs RIGHT Join

Given below are the key differences between LEFT Join vs RIGHT Join.

LEFT Join	RIGHT Join
Consider all the rows from the table and common rows from both tables.	Consider all rows from the right table and common from both tables.
INNER Join + all rows from the left table	INNER Join + all rows from the right table
Joins based on a condition	Joins based on a condition
ON keyword is used to specify the condition and join the tables.	ON keyword is used to specify the condition and join the tables.
The result set contains NULL set values. The below syntax can be used to neglect the NULL values: – SELECT * FROM TABLE_A A LEFT JOIN TABLE B B ON A. Common_COLUMN =B. Common_COLUMN WHERE B.Common_COLUMN IS NULL	The result set contains NULL set values. The below syntax can be used to neglect the NULL values: – SELECT * FROM TABLE_A A RIGHT JOIN TABLE B B ON A. Common_COLUMN =B. Common_COLUMN WHERE A.Common_COLUMN IS NULL
SELECT * FROM TABLE_A LEFT JOIN TABLE B ON A. Common_COLUMN =B. Common_COLUMN	SELECT * FROM TABLE_A RIGHT JOIN TABLE B ON A. Common_COLUMN =B. Common_COLUMN

RIGHT Join

• RIGHT Join = All rows from RIGHT table + INNER Join
• Consider all rows from the right table and common from both tables.
• Joins based on a condition
• ON keyword is used to specify the condition and join the tables.

Loan Table

Borrower Table

Examples of SQL RIGHT Join

Here are the following examples of SQL RIGHT Join mention below:

Example#1

Let us consider the above two tables and apply RIGHT Join on the tables: –

Query to get the loan_no, status, and borrower date from two tables: –

Query:

SELECT L.LOAN_NO, L.LOAN_STATUS, B.BORROWER_DATE
FROM LOAN L RIGHT JOIN BORROWER B
ON L.LOAN_NO=B.LOAN_NO
Let’s check the output of the above table after applying the right join on them.

Output:

The result set contains NULL set values. The below syntax can be used to neglect the NULL values: –

SELECT * FROM TABLE_A A
RIGHT JOIN TABLE B B
ON A. Common_COLUMN =B. Common_COLUMN
WHERE A.Common_COLUMN IS NULL

Let us consider two tables and apply RIGHT join on the tables. Query to get the loan_no, status, loan_aount, and borrower date from two tables.

Query:

SELECT L.LOAN_NO, L.LOAN_STATUS,L.LOAN_AMOUNT, B.BORROWER_DATE
FROM LOAN L RIGHT JOIN BORROWER B
ON L.LOAN_NO=B.LOAN_NO

Let’s check the output of the above table after applying the RIGHT Join on them.

Output:

Example #2

Let us consider two tables and apply RIGHT join on the tables. Query to get the loan_no, status, loan_aount, and borrower date from two tables.

Query:

SELECT L.LOAN_NO, L.LOAN_STATUS,L.LOAN_AMOUNT, B.BORROWER_DATE
FROM BORROWER B RIGHT JOIN LOAN L
ON L.LOAN_NO=B.LOAN_NO

Let’s check the output of the above table after applying the RIGHT Join on them.

Output:

In the above table, LOAN is on the right table, and the borrower is on the left table. We get inner join+ all rows from the right table as in RIGHT join. Here we get all the rows from the LOAN table and inner join rows with the Borrower table. Values not present will be NULL.

Conclusion

To fetch data relevant to the customer requirement, we might need to join tables that join will fulfill. As mentioned earlier, joins are used to get data from multiple tables. To join more than one table, we need at least one column common in both tables. Tables get joined based on the condition specified.

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