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175. Combine Two Tables

Table: Person

+-------------+---------+
| Column Name | Type    |
+-------------+---------+
| personId    | int     |
| lastName    | varchar |
| firstName   | varchar |
+-------------+---------+
personId is the primary key (column with unique values) for this table.
This table contains information about the ID of some persons and their first and last names.

Table: Address

+-------------+---------+
| Column Name | Type    |
+-------------+---------+
| addressId   | int     |
| personId    | int     |
| city        | varchar |
| state       | varchar |
+-------------+---------+
addressId is the primary key (column with unique values) for this table.
Each row of this table contains information about the city and state of one person with ID = PersonId.

Write a solution to report the first name, last name, city, and state of each person in the Person table. If the address of a personId is not present in the Address table, report null instead.

Return the result table in any order.

The result format is in the following example.

Example 1:

Input: 
Person table:
+----------+----------+-----------+
| personId | lastName | firstName |
+----------+----------+-----------+
| 1        | Wang     | Allen     |
| 2        | Alice    | Bob       |
+----------+----------+-----------+
Address table:
+-----------+----------+---------------+------------+
| addressId | personId | city          | state      |
+-----------+----------+---------------+------------+
| 1         | 2        | New York City | New York   |
| 2         | 3        | Leetcode      | California |
+-----------+----------+---------------+------------+
Output: 
+-----------+----------+---------------+----------+
| firstName | lastName | city          | state    |
+-----------+----------+---------------+----------+
| Allen     | Wang     | Null          | Null     |
| Bob       | Alice    | New York City | New York |
+-----------+----------+---------------+----------+
Explanation: 
There is no address in the address table for the personId = 1 so we return null in their city and state.
addressId = 1 contains information about the address of personId = 2.

Solution:

# Write your MySQL query statement below
select firstName, lastName, city, state
from Person left join Address
on Person.personId = Address.personId;
  1. FROM Person LEFT JOIN Address

这正是 LEFT JOIN 的语义:

以左表(Person)为主,右表(Address)匹配不上时,用 NULL 填充。

  1. ON Person.personId = Address.personId

这是 连接条件(join condition)

意思是:

  • personId 把两张表关联起来

  • 只有当:

Person.personId = Address.personId

时,这两行才会合并成一行结果

  1. SELECT firstName, lastName, city, state

表示从连接后的结果中取出:

  • firstName(来自 Person 表)
  • lastName(来自 Person 表)
  • city(来自 Address 表)
  • state(来自 Address 表)