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MySQL Correlated Subquery
MySQL Correlated Subquery
In this tutorial, you will learn about correlated subqueries with an example. MySQL correlated subquery contains subquery references in the outer query and cannot be evaluated independently.
Example
In this example, we will use the City and the Country tables from the world MySQL database. The table structures and the column names are as follows:
mysql> DESC City;
+————-+———-+——+—–+———+—————-+
| Field | Type | Null | Key | Default | Extra |
+————-+———-+——+—–+———+—————-+
| ID | int | NO | PRI | NULL | auto_increment |
| Name | char(35) | NO | | | |
| CountryCode | char(3) | NO | MUL | | |
| District | char(20) | NO | | | |
| Population | int | NO | | 0 | |
+————-+———-+——+—–+———+—————-+
mysql> DESC Country \G
Correlated Subquery
Let’s count the number of cites for each country using a correlated subquery. This query uses a correlated subquery to count the number of cities in the City table which have a matching country code to those in the Country table. The outer query then selects the country names, continents and their respective city counts.
mysql> SELECT Name,Continent,
(SELECT COUNT(*) FROM City
WHERE CountryCode=Country.Code)
AS City_Count FROM Country;
The subquery reference to the Country table from the outer query makes it a correlated subquery. Due to this reference, this subquery cannot be executed as a stand-along query.
To show the output let’s filter the query to display a single country result. For example, to display the number of cities of the Canada country, we can use the following query:
mysql> SELECT Name,Continent,
-> (SELECT COUNT(*) FROM City
-> WHERE CountryCode=Country.Code)
-> AS City_Count FROM Country
-> WHERE Name =’Canada’;
+——–+—————+————+
| Name | Continent | City_Count |
+——–+—————+————+
| Canada | North America | 49 |
+——–+—————+————+
1 row in set (0.00 sec)
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