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Subquery: Inner QueriesLocate this document in the navigation structure

Use

A second SELECT statement ( Subquery (subquery)) can be included in a SELECT statement. A value or set of values is generated by the Subquery as part of the main statement.

Prerequisites

You can use the demo data for the SQL tutorial. Start the Database Studio as database administrator MONA with the password RED and log on to demo database DEMODB: Logging On to a Database.

Activities

You can use Database Studio to enter and execute SQL statements. More information: Working with SQL Statements: Overview

Subquery

SELECT name, zip

  FROM hotel.customer

    WHERE zip = (SELECT MAX(zip) FROM hotel.customer)

Displaying the customer with the greatest zip code

Result

NAME

ZIP

Doe

97213

See also: SQL Reference Manual, Comparison Predicate (comparison_predicate)

SELECT hno, name, zip

  FROM hotel.hotel

    WHERE zip IN(SELECT zip FROM hotel.customer WHERE title = 'Mrs')

Displaying the hotels located in cities/places in which female customers also live

Result

HNO

NAME

ZIP

10

Congress

20005

See also: SQL Reference Manual, IN Predicate (in_predicate)

SELECT hno, name

  FROM hotel.hotel

    WHERE name = ANY(SELECT name FROM hotel.city)

Displaying hotels that have the same name as other cities in the city table. The inner query determines the list of city names with which the hotel names are compared.

Result

HNO

NAME

20

Long Island

120

Long Beach

SELECT cno, name

  FROM hotel.customer

    WHERE cno = ANY(SELECT cno FROM hotel.reservation WHERE arrival > '2005-01-01')

Displaying the customers that have made all reservations as of a specified date

Result

CNO

NAME

3600

Smith

3900

Howe

Use ANY if the Subquery returns more than one value and you want to take this into consideration in the WHERE clause condition that usually requires exactly one value.

See also: SQL Reference Manual, Quantified Predicate (quantified_predicate)

Correlated Subquery

You can use Correlated Subqueries to formulate conditions for selecting rows; these conditions are to apply to groups of rows only and not to all rows in a table.

Subqueries are only evaluated once. Correlated Subqueries are evaluated for each row in the external table, in the case of compound Subqueries from the inside out.

SELECT hno, type, price

  FROM hotel.room room_table

    WHERE price =

(SELECT MAX(price) FROM hotel.room WHERE type = room_table.type)

Displaying the hotels (in the form of the hotel number) whose rooms in the individual types (single, double, or suite) have the highest price

Since in this example, the same table is addressed in the external SELECT statement as in the Subquery, you have to specify a reference name ( room_table). A row from the result of the external SELECT statement is linked (correlated) to a value in the Subquery.

Explanation

  • SELECT hno, type, price FROM hotel.room room_table Searches for the hotel number, room type and price in the room table and renames the table  room_table.

  • WHERE price= Contains the row in which the price is the same as the result of the following Subquery:

  • (SELECT MAX(price) FROM hotel.room (Start the Subquery) Searches for the maximum price in the room table

  • WHERE type = room_table.type) The room types here are to be the same as the room types in the rows found above

Result

HNO

TYPE

PRICE

130

double

270

130

single

160

130

suite

700

SELECT cno, title, name

  FROM hotel.customer

    WHERE EXISTS

(SELECT * FROM hotel.reservation

    WHERE hotel.customer.cno = hotel.reservation.cno)

Displaying only those customers from the customer table for which one or more reservations exist

Result

CNO

TITLE

NAME

3000

Mrs

Porter

3100

Mr

Brown

3200

Company

Datasoft

3600

Mrs

Smith

3900

Mr

Howe

4100

Mrs

Baker

4300

Company

TOOLware

4400

Mr

Jenkins

Use EXISTS if you only want the Subquery to find out whether a row exists that fulfils a specific condition.

See also: SQL Reference Manual, EXISTS Predicate (exists_predicate)

More Information

More examples for Data Query