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MySQL Joins Example
What are Joins?
Joins are the most important thing in relational databases. They are used to join two or more different tables on a point in which both the tables match the same value and property. There are four easy ways to join two or more tables:
- Inner Join
- Left Join
- Right Join
Note :Here The Person is Left Table and Orders is Right Table
if there is any common key(primary and foreign key) in both tables then the
join so performed is called inner join.
left join returns all rows from left table even if there is no match in the right table.
RIGHT OUTER JOIN
Another type of join is called a MySQL RIGHT OUTER JOIN. This type of join returns all rows from the RIGHT-hand table specified in the ON condition and only those rows from the other table where the joined fields are equal (join condition is met).
The syntax for the RIGHT OUTER JOIN in MySQL is:
Here is an example of a MySQL RIGHT OUTER JOIN:
This RIGHT OUTER JOIN example would return all rows from the orders table and only those rows from the suppliers table where the joined fields are equal.
If a supplier_id value in the orders table does not exist in the suppliers table, all fields in the suppliers table will display as <null> in the result set.
Let’s look at some data to explain how RIGHT OUTER JOINS work:
We have a table called suppliers with two fields (supplier_id and supplier_name). It contains the following data:
Outer join(Full Join)
Outer join displays all rows from left table and right table. if there are rows in left table which does not matches with the rows in right table , those rows will also be displayed and vice versa.
It can detect records having no match in joined table. It returns NULL values for records of joined table if no match is found.
Why should we use joins?
Now you may think, why we use JOINs when we can do the same task running queries. Especially if you have some experience in database programming you know we can run queries one by one, use output of each in successive queries. Of course, that is possible. But using JOINs, you can get the work done by using only a one query with any search parameters. On the other hand MySQL can achieve better performance with JOINs as it can use Indexing. Simply use of single JOIN query instead running multiple queries do reduce server overhead. Using multiple queries instead that leads more data transfers between MySQL and applications (software).
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