Here you find information about writing RIGHT JOINs (also referred to as RIGHT OUTER JOINs). This introduction into right joins includes a detailed description, syntax information and right outer join example statements. The Venn diagram on the left represents a result set that a statement with a right join produces. Please refer to the syntax examples below for an example. Links to additional information resources can be found at the end of this article.
Right Join syntax
First of all, some syntax examples for the impatient:
-- right join with USING-clause SELECT * FROM <leftTable> RIGHT JOIN <rightTable> USING(id)
-- right join with ON-clause SELECT * FROM <leftTable> a RIGHT JOIN <rightTable> b ON a.name = b.authorName
As you can see, a join condition can be written with the keyword ON or the keyword USING. The difference is that the ON keyword is used when each relationship column has a different name and USING when a column with the same name exists in both tables.
Reference table, left and right table?
When we join two tables, there is always a left and a right table (take a look at our syntax examples):
- The left table is listed on the left side of the OUTER JOIN keywords
- The right table is listed on the right side of the OUTER JOIN keywords
The outer join which is used decides which table is treated as the reference table. A left join treats the left- and a right join the right table as the reference table. Do you recognize the reference table in the syntax examples? Alright, fasten your seat belts. We’re ready to take off.
Left Outer Joins vs Inner joins
A right outer join is a specialized outer join. Like an inner join, an outer join combines (joins) matching rows that are stored in two different tables. In addition, an outer join also adds unmatched rows from a reference table to the result set. In case of a right outer join this means that when there is a row in the right table which can’t be combined with any row in the left table (according to the join condition), MySQL…
- takes all selected values from the right table
- combines them with the column names from the left table.
- sets the value of every column from the left table to NULL
This is the important difference, because an inner join is not able to select records from a reference table that have no related data in another. Please take a look at the following real world example, which demonstrates this behavior: