SQL Right Join

RIGHT JOIN

The SQL RIGHT JOIN, joins two tables and fetches rows based on a condition, which is matching in both the tables ( before and after the JOIN clause mentioned in the syntax below) , and the unmatched rows will also be available from the table written after the JOIN clause ( mentioned in the syntax below ).

Pictorial presentation of SQL Right Join:

Syntax:

SELECT *
FROM table1
RIGHT [ OUTER ] JOIN table2
ON table1.column_name=table2.column_name;

SQL RIGHT join fetches a complete set of records from table2, i.e. the rightmost table after JOIN clause, with the matching records (depending on the availability) in table1. The result is NULL in the left side when no matching will take place.

Syntax diagram - SQL Right Join

Example of SQL Right Join or right outer join

Sample table: foods

Sample table: company

To get company ID, company name and company city columns from company table and company ID, item name columns from foods table, after an OUTER JOINING with these mentioned tables, the following SQL statement can be used:

SQL Code:

SELECT company.company_id,company.company_name,
company.company_city,foods.company_id,foods.item_name
FROM   company
RIGHT JOIN foods
ON company.company_id = foods.company_id;

Explanation:

This SQL statement would return all rows from the foods table and only those rows from the company table where the joined fields are equal and if the ON clause matches no records in the company table, the join will still return rows, but the NULL in each column of company table.

Output:

COMPANY_ID COMPANY_NAME              COMPANY_CITY              COMPANY_ID ITEM_NAME
---------- ------------------------- ------------------------- ---------- --------------
18         Order All                 Boston                    18         Jaffa Cakes
15         Jack Hill Ltd             London                    15         Pot Rice
15         Jack Hill Ltd             London                    15         BN Biscuit
15         Jack Hill Ltd             London                    15         Cheez-It
16         Akas Foods                Delhi                     16         Chex Mix
17         Foodies.                  London                    17         Mighty Munch
                                                                          Salt n Shake

Outputs of the said SQL statement shown here is taken by using Oracle Database 10g Express Edition

Pictorial Presentation of the above example:

RIGHT JOIN: Relational Databases

• Oracle RIGHT JOIN
• MySQL RIGHT JOIN
• PostgreSQL RIGHT JOIN

Key points to remember

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Practice SQL Exercises

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