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Subqueries have been introduced to help you with such examples. They are "queries inside queries" and they are always put in parentheses.

SELECT name FROM city WHERE rating = ( SELECT rating FROM city WHERE name = 'Paris' );

The database will first check the subquery (in the parentheses), then return the result of the query (in this case, the number 5) in place of the subquery and then check the final query.

SELECT * FROM city WHERE area = ( SELECT area FROM city WHERE name = 'Paris' ); SELECT name FROM city WHERE city.population < ( SELECT population FROM city WHERE city.name = 'Madrid' ); SELECT * FROM trip WHERE price > ( SELECT AVG(price) FROM trip );

IN operator

SELECT * FROM city WHERE rating IN (3, 4, 5); SELECT * FROM hiking_trip WHERE difficulty IN (1,2,3); SELECT * FROM trip WHERE city_id IN ( SELECT id FROM city WHERE area > 100 );

ALL operator

Can be used with logical operators.

> ALL means "greater than every other value from the parentheses".

SELECT * FROM city WHERE population < ALL ( SELECT population FROM country ); SELECT * FROM trip WHERE price = ANY ( SELECT price FROM hiking_trip );

Correlated queries

SELECT * FROM country WHERE area <= ( SELECT MIN(area) FROM city WHERE city.country_id = country.id ); SELECT * FROM country WHERE population <= ( SELECT MIN(population) FROM city WHERE city.country_id = country.id );

More examples

SELECT * FROM city AS main_city WHERE rating > ( SELECT AVG(rating) FROM city as avg_city WHERE avg_city.country_id = main_city.country_id ); SELECT * FROM trip WHERE trip.city_id IN ( SELECT id FROM city WHERE city.rating < 4 );

EXISTS

EXISTS is a new operator. It checks if there are any rows that meet the condition.

SELECT * FROM city WHERE EXISTS ( SELECT * FROM trip WHERE city_id = city.id ); SELECT * FROM country WHERE EXISTS ( SELECT * FROM mountain WHERE country_id = country.id ); SELECT * FROM city WHERE NOT EXISTS ( SELECT * FROM trip WHERE city_id = city.id ); SELECT * FROM mountain WHERE NOT EXISTS ( SELECT * FROM hiking_trip WHERE hiking_trip.mountain_id = mountain.id ) SELECT * FROM hiking_trip AS main_trip WHERE main_trip.length >= ALL ( SELECT length FROM hiking_trip AS sub_trip WHERE main_trip.mountain_id = sub_trip.mountain_id ); SELECT * FROM trip WHERE trip.days < ANY ( SELECT days FROM hiking_trip WHERE hiking_trip.price = trip.price );

Subqueries in the FROM clause

SELECT * FROM mountain, ( SELECT * FROM country WHERE population > 50000 ) AS large_country WHERE large_country.id = mountain.country_id; SELECT length, height FROM hiking_trip, ( SELECT * FROM mountain WHERE mountain.height >= 3000 ) AS tall_mountains WHERE tall_mountains.id = hiking_trip.mountain_id

Subqueries in SELECT

Awesome! Subqueries can also be used within the column list in a SELECT clause. Here it's important that the subquery returns exactly one row and column.

SELECT name, ( SELECT COUNT(*) FROM hiking_trip WHERE mountain.id = hiking_trip.mountain_id ) as COUNT FROM mountain;

Repository

https://github.com/okeeffed/developer-notes-nextjs/content/postgresql/SQL-A-Z-Postgres-Track-SQL-Basics/5-Subqueries

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