Description
The SQL Subquery is a query within another query, which is usually embedded within the WHERE or HAVING clauses that contain conditions.
- It is also known as a nested query or inner query.
- It is usually embedded within WHERE or HAVING clauses of another SQL query, which is called an outer query.
- It is mostly used within a SELECT statement, but it is allowed on other statements like INSERT, UPDATE, DELETE, or any other subquery.
- The data returned by a subquery is used by the outer query as a value or a list of values.
- The data returned by a subquery can be a single value, a single row, a single column, or a table containing one or more rows of one or more columns.
Subqueries provide an easy and effective way to handle queries that depend on the results from another query.
Subqueries are identical to a normal SELECT query but have some limitations listed below.
- It must always appear within a parenthesis.
- It must always return only one column. However, it may return multiple columns if the purpose is to compare rows.
- If it returns multiple rows, then it must be used within the multiple value operators like IN, NOT IN, etc.,
- Subqueries cannot be part of a UNION, as it must be a single SELECT statement.
Let's look at an example of an UPDATE statement with a subquery.
Table Date
Before executing any queries, consider the below data on the tables.
Customers Table Data
customer_id | customer_name | address | city | country | postal_code |
1 | Maria Anders | Obere Str. 57 | Berlin | Germany | 12209 |
2 | Fran Wilson | C/ Araquil, 67 | Madrid | Spain | 28023 |
3 | Dominique Perrier | 25, rue Lauriston | Paris | France | 75016 |
4 | Martin Blank | Via Monte Bianco 34 | Turin | Italy | 10100 |
5 | Thomas Hardy | 89 Chiaroscuro Rd. | Portland | USA | 97219 |
Orders Table Data
order_id | order_date | order_value | customer_id | shipper_id |
10250 | 2014-07-05 | 1807.5 | 1 | 3 |
10251 | 2014-07-15 | 1159 | 2 | 2 |
10252 | 2014-07-18 | 2822 | 3 | 3 |
10253 | 2014-07-19 | 2575.3 | 4 | 2 |
10254 | 2014-07-24 | 1256.25 | 5 | 3 |
10255 | 2014-07-31 | 9247.5 | 1 | 1 |
10256 | 2014-08-01 | 360 | 4 | 2 |
10257 | 2014-08-06 | 3151.65 | 3 | 1 |
10258 | 2014-08-08 | 2809 | 1 | 3 |
10259 | 2014-08-14 | 228 | 2 | 1 |
Example
The below UPDATE statement updates the order value to increase it by 20, for all the customers residing in Germany and France.
- The inner query or subquery SELECT statement returns the list of Customer IDs, who reside in the country 'Germany' or 'France'.
- The outer query UPDATE statement uses the list of Customer IDs as the list of values to IN operator.
UPDATE orders
SET order_value = order_value + 20
WHERE customer_id
IN (SELECT customer_id FROM customers WHERE country IN ('Germany', 'France'));
After successful execution, the order table contains the updated data as below.
order_id | order_date | order_value | customer_id | shipper_id |
10250 | 2014-07-05 | 1827.5 | 1 | 3 |
10251 | 2014-07-15 | 1159 | 2 | 2 |
10252 | 2014-07-18 | 2842 | 3 | 3 |
10253 | 2014-07-19 | 2575.3 | 4 | 2 |
10254 | 2014-07-24 | 1256.25 | 5 | 3 |
10255 | 2014-07-31 | 9267.5 | 1 | 1 |
10256 | 2014-08-01 | 360 | 4 | 2 |
10257 | 2014-08-06 | 3171.65 | 3 | 1 |
10258 | 2014-08-08 | 2829 | 1 | 3 |
10259 | 2014-08-14 | 228 | 2 | 1 |
Overall
We now understood how to write subqueries within an UPDATE statement.