SQL Querying Multiple Tables: Difference between revisions
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Revision as of 23:07, 23 May 2024
External
Internal
Overview
More than one table can be used in a FROM
query clause, and when that happens, it is said that the query performs a join.
Examples
All examples provided in this article are based on three tables (person
, address
and country
), with the following schema:
person Column | Type id | name | company_id -----------+--------- ------+------------------+------------- id | integer # primary key 1 | Alice | 10 name | text 2 | Bob | 20 company_id | integer # foreign key that references company(id) 3 | Charlie | 30 company Column | Type id | name | city_id -----------+--------- ------+------------------+------------- id | integer # primary key 10 | Moonphone | 100 name | text 20 | Vortextime | 200 city_id | integer # foreign key that references city(id) 30 | Bluestone | 300 city Column | Type id | name -----------+--------- ------+------------------ id | integer # primary key 100 | San Francisco name | text 200 | New York 300 | Chicago
Join Condition
Tables are usually joined using foreign keys. The join condition states that we should associate the rows from the first table with rows from other table where the foreign key column value from the first table row is equal with the primary key column value from other table row.
Join Types
Inner Join
An inner join is performed by specifying more than one table in the FROM
clause with the following syntax, where each table that participates to the join, except the first one, is preceded by the JOIN
keyword and followed by the ON
keyword:
FROM table_one JOIN table_two ON <join_condition> JOIN table_three ON <join_condition> ...
Note that a JOIN
keyword without any qualifier defaults to an inner join.
When JOIN
is specified without any qualifier, it implies an inner join. For clarity, INNER
can be specified:
SELECT ...
FROM ...
INNER JOIN sometable ON ...
To inner join two tables:
SELECT person.name AS name, company.name AS company
FROM person
JOIN company ON person.company_id = company.id
name | company ---------+------------ Alice | Moonphone Bob | Vortextime Charlie | Bluestone
To inner join three tables:
SELECT person.name AS name, company.name AS company, city.name AS city
FROM person
JOIN company ON person.company_id = company.id
JOIN city ON company.city_id = city.id;
name | company | city ---------+------------+--------------- Alice | Moonphone | San Francisco Bob | Vortextime | New York Charlie | Bluestone | Chicago
Cross Join
A cross join produces the cartesian product of the tables participating in join.
For two tables:
SELECT * FROM person
CROSS JOIN company;
id | name | company_id | eye_color | id | name | city_id ----+---------+------------+-----------+----+------------+--------- 1 | Alice | 10 | blue | 10 | Moonphone | 100 2 | Bob | 20 | black | 10 | Moonphone | 100 3 | Charlie | 30 | black | 10 | Moonphone | 100 1 | Alice | 10 | blue | 20 | Vortextime | 200 2 | Bob | 20 | black | 20 | Vortextime | 200 3 | Charlie | 30 | black | 20 | Vortextime | 200 1 | Alice | 10 | blue | 30 | Bluestone | 300 2 | Bob | 20 | black | 30 | Bluestone | 300 3 | Charlie | 30 | black | 30 | Bluestone | 300 (9 rows)
For three tables:
SELECT COUNT(*) FROM person
CROSS JOIN company
CROSS JOIN city;
count ------- 27
Using Table Aliases in Joins
The SQL syntax permits to alias each of the join-participating tables, so you can identify which tables you are referring to when you reference columns in the SELECT
clause, by using table aliases:
FROM table_one AS table_one_alias JOIN table_two AS table_two_alias ON <join_condition> JOIN table_three AS table_three_alias ON <join_condition> ...
For permanent, temporary and virtual tables aliasing is optional, their original names are sufficient to reference columns. However for derived tables, the alias is useful:
SELECT person.name, derived_table_alias.name
FROM person
JOIN (SELECT id, UPPER(name) AS name FROM company) AS derived_table_alias ON person.company_id = derived_table_alias.id;