题目描述

(通过次数55,130 | 提交次数80,212,通过率68.73%)

表:SalesPerson
+-----------------+---------+
| Column Name | Type |
+-----------------+---------+
| sales_id | int |
| name | varchar |
| salary | int |
| commission_rate | int |
| hire_date | date |
+-----------------+---------+
sales_id 是该表的主键列。
该表的每一行都显示了销售人员的姓名和 ID ,以及他们的工资、佣金率和雇佣日期。
表:Company
+-------------+---------+
| Column Name | Type |
+-------------+---------+
| com_id | int |
| name | varchar |
| city | varchar |
+-------------+---------+
com_id 是该表的主键列。
该表的每一行都表示公司的名称和 ID ,以及公司所在的城市。
表:Orders
+-------------+------+
| Column Name | Type |
+-------------+------+
| order_id | int |
| order_date | date |
| com_id | int |
| sales_id | int |
| amount | int |
+-------------+------+
order_id 是该表的主键列。
com_id 是 Company 表中 com_id 的外键。
sales_id 是来自销售员表 sales_id 的外键。
该表的每一行包含一个订单的信息。这包括公司的 ID 、销售人员的 ID 、订单日期和支付的金额。
编写一个SQL查询,报告没有任何与名为 “RED” 的公司相关的订单的所有销售人员的姓名。
以 任意顺序 返回结果表。
查询结果格式如下所示。
示例:
输入:
SalesPerson 表:
+----------+------+--------+-----------------+------------+
| sales_id | name | salary | commission_rate | hire_date |
+----------+------+--------+-----------------+------------+
| 1 | John | 100000 | 6 | 4/1/2006 |
| 2 | Amy | 12000 | 5 | 5/1/2010 |
| 3 | Mark | 65000 | 12 | 12/25/2008 |
| 4 | Pam | 25000 | 25 | 1/1/2005 |
| 5 | Alex | 5000 | 10 | 2/3/2007 |
+----------+------+--------+-----------------+------------+
Company 表:
+--------+--------+----------+
| com_id | name | city |
+--------+--------+----------+
| 1 | RED | Boston |
| 2 | ORANGE | New York |
| 3 | YELLOW | Boston |
| 4 | GREEN | Austin |
+--------+--------+----------+
Orders 表:
+----------+------------+--------+----------+--------+
| order_id | order_date | com_id | sales_id | amount |
+----------+------------+--------+----------+--------+
| 1 | 1/1/2014 | 3 | 4 | 10000 |
| 2 | 2/1/2014 | 4 | 5 | 5000 |
| 3 | 3/1/2014 | 1 | 1 | 50000 |
| 4 | 4/1/2014 | 1 | 4 | 25000 |
+----------+------------+--------+----------+--------+
输出:
+------+
| name |
+------+
| Amy |
| Mark |
| Alex |
+------+
解释:
根据表orders中的订单 '3''4' ,容易看出只有 'John''Pam' 两个销售员曾经向公司 'RED' 销售过。
所以我们需要输出表salesperson中所有其他人的名字。
来源:力扣(LeetCode)
链接:https://leetcode.cn/problems/sales-person
表:SalesPerson +-----------------+---------+ | Column Name | Type | +-----------------+---------+ | sales_id | int | | name | varchar | | salary | int | | commission_rate | int | | hire_date | date | +-----------------+---------+ sales_id 是该表的主键列。 该表的每一行都显示了销售人员的姓名和 ID ,以及他们的工资、佣金率和雇佣日期。 表:Company +-------------+---------+ | Column Name | Type | +-------------+---------+ | com_id | int | | name | varchar | | city | varchar | +-------------+---------+ com_id 是该表的主键列。 该表的每一行都表示公司的名称和 ID ,以及公司所在的城市。 表:Orders +-------------+------+ | Column Name | Type | +-------------+------+ | order_id | int | | order_date | date | | com_id | int | | sales_id | int | | amount | int | +-------------+------+ order_id 是该表的主键列。 com_id 是 Company 表中 com_id 的外键。 sales_id 是来自销售员表 sales_id 的外键。 该表的每一行包含一个订单的信息。这包括公司的 ID 、销售人员的 ID 、订单日期和支付的金额。 编写一个SQL查询,报告没有任何与名为 “RED” 的公司相关的订单的所有销售人员的姓名。 以 任意顺序 返回结果表。 查询结果格式如下所示。 示例: 输入: SalesPerson 表: +----------+------+--------+-----------------+------------+ | sales_id | name | salary | commission_rate | hire_date | +----------+------+--------+-----------------+------------+ | 1 | John | 100000 | 6 | 4/1/2006 | | 2 | Amy | 12000 | 5 | 5/1/2010 | | 3 | Mark | 65000 | 12 | 12/25/2008 | | 4 | Pam | 25000 | 25 | 1/1/2005 | | 5 | Alex | 5000 | 10 | 2/3/2007 | +----------+------+--------+-----------------+------------+ Company 表: +--------+--------+----------+ | com_id | name | city | +--------+--------+----------+ | 1 | RED | Boston | | 2 | ORANGE | New York | | 3 | YELLOW | Boston | | 4 | GREEN | Austin | +--------+--------+----------+ Orders 表: +----------+------------+--------+----------+--------+ | order_id | order_date | com_id | sales_id | amount | +----------+------------+--------+----------+--------+ | 1 | 1/1/2014 | 3 | 4 | 10000 | | 2 | 2/1/2014 | 4 | 5 | 5000 | | 3 | 3/1/2014 | 1 | 1 | 50000 | | 4 | 4/1/2014 | 1 | 4 | 25000 | +----------+------------+--------+----------+--------+ 输出: +------+ | name | +------+ | Amy | | Mark | | Alex | +------+ 解释: 根据表orders中的订单 '3' 和 '4' ,容易看出只有 'John' 和 'Pam' 两个销售员曾经向公司 'RED' 销售过。 所以我们需要输出表salesperson中所有其他人的名字。 来源:力扣(LeetCode) 链接:https://leetcode.cn/problems/sales-person
表:SalesPerson
+-----------------+---------+
| Column Name     | Type    |
+-----------------+---------+
| sales_id        | int     |
| name            | varchar |
| salary          | int     |
| commission_rate | int     |
| hire_date       | date    |
+-----------------+---------+
sales_id 是该表的主键列。
该表的每一行都显示了销售人员的姓名和 ID ,以及他们的工资、佣金率和雇佣日期。
表:Company
+-------------+---------+
| Column Name | Type    |
+-------------+---------+
| com_id      | int     |
| name        | varchar |
| city        | varchar |
+-------------+---------+
com_id 是该表的主键列。
该表的每一行都表示公司的名称和 ID ,以及公司所在的城市。
表:Orders
+-------------+------+
| Column Name | Type |
+-------------+------+
| order_id    | int  |
| order_date  | date |
| com_id      | int  |
| sales_id    | int  |
| amount      | int  |
+-------------+------+
order_id 是该表的主键列。
com_id 是 Company 表中 com_id 的外键。
sales_id 是来自销售员表 sales_id 的外键。
该表的每一行包含一个订单的信息。这包括公司的 ID 、销售人员的 ID 、订单日期和支付的金额。

编写一个SQL查询,报告没有任何与名为 “RED” 的公司相关的订单的所有销售人员的姓名。
以 任意顺序 返回结果表。
查询结果格式如下所示。

示例:
输入:
SalesPerson 表:
+----------+------+--------+-----------------+------------+
| sales_id | name | salary | commission_rate | hire_date  |
+----------+------+--------+-----------------+------------+
| 1        | John | 100000 | 6               | 4/1/2006   |
| 2        | Amy  | 12000  | 5               | 5/1/2010   |
| 3        | Mark | 65000  | 12              | 12/25/2008 |
| 4        | Pam  | 25000  | 25              | 1/1/2005   |
| 5        | Alex | 5000   | 10              | 2/3/2007   |
+----------+------+--------+-----------------+------------+
Company 表:
+--------+--------+----------+
| com_id | name   | city     |
+--------+--------+----------+
| 1      | RED    | Boston   |
| 2      | ORANGE | New York |
| 3      | YELLOW | Boston   |
| 4      | GREEN  | Austin   |
+--------+--------+----------+
Orders 表:
+----------+------------+--------+----------+--------+
| order_id | order_date | com_id | sales_id | amount |
+----------+------------+--------+----------+--------+
| 1        | 1/1/2014   | 3      | 4        | 10000  |
| 2        | 2/1/2014   | 4      | 5        | 5000   |
| 3        | 3/1/2014   | 1      | 1        | 50000  |
| 4        | 4/1/2014   | 1      | 4        | 25000  |
+----------+------------+--------+----------+--------+
输出:
+------+
| name |
+------+
| Amy  |
| Mark |
| Alex |
+------+
解释:
根据表orders中的订单 '3' 和 '4' ,容易看出只有 'John' 和 'Pam' 两个销售员曾经向公司 'RED' 销售过。
所以我们需要输出表salesperson中所有其他人的名字。

来源:力扣(LeetCode)
链接:https://leetcode.cn/problems/sales-person
//测试数据
Create table If Not Exists SalesPerson (sales_id int, name varchar(255), salary int, commission_rate int, hire_date date);
Create table If Not Exists Company (com_id int, name varchar(255), city varchar(255));
Create table If Not Exists Orders (order_id int, order_date date, com_id int, sales_id int, amount int);
insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('1', 'John', '100000', '6', '4/1/2006');
insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('2', 'Amy', '12000', '5', '5/1/2010');
insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('3', 'Mark', '65000', '12', '12/25/2008');
insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('4', 'Pam', '25000', '25', '1/1/2005');
insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('5', 'Alex', '5000', '10', '2/3/2007');
insert into Company (com_id, name, city) values ('1', 'RED', 'Boston');
insert into Company (com_id, name, city) values ('2', 'ORANGE', 'New York');
insert into Company (com_id, name, city) values ('3', 'YELLOW', 'Boston');
insert into Company (com_id, name, city) values ('4', 'GREEN', 'Austin');
insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('1', '1/1/2014', '3', '4', '10000');
insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('2', '2/1/2014', '4', '5', '5000');
insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('3', '3/1/2014', '1', '1', '50000');
insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('4', '4/1/2014', '1', '4', '25000');
//测试数据 Create table If Not Exists SalesPerson (sales_id int, name varchar(255), salary int, commission_rate int, hire_date date); Create table If Not Exists Company (com_id int, name varchar(255), city varchar(255)); Create table If Not Exists Orders (order_id int, order_date date, com_id int, sales_id int, amount int); insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('1', 'John', '100000', '6', '4/1/2006'); insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('2', 'Amy', '12000', '5', '5/1/2010'); insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('3', 'Mark', '65000', '12', '12/25/2008'); insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('4', 'Pam', '25000', '25', '1/1/2005'); insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('5', 'Alex', '5000', '10', '2/3/2007'); insert into Company (com_id, name, city) values ('1', 'RED', 'Boston'); insert into Company (com_id, name, city) values ('2', 'ORANGE', 'New York'); insert into Company (com_id, name, city) values ('3', 'YELLOW', 'Boston'); insert into Company (com_id, name, city) values ('4', 'GREEN', 'Austin'); insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('1', '1/1/2014', '3', '4', '10000'); insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('2', '2/1/2014', '4', '5', '5000'); insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('3', '3/1/2014', '1', '1', '50000'); insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('4', '4/1/2014', '1', '4', '25000');
//测试数据
Create table If Not Exists SalesPerson (sales_id int, name varchar(255), salary int, commission_rate int, hire_date date);
Create table If Not Exists Company (com_id int, name varchar(255), city varchar(255));
Create table If Not Exists Orders (order_id int, order_date date, com_id int, sales_id int, amount int);

insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('1', 'John', '100000', '6', '4/1/2006');
insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('2', 'Amy', '12000', '5', '5/1/2010');
insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('3', 'Mark', '65000', '12', '12/25/2008');
insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('4', 'Pam', '25000', '25', '1/1/2005');
insert into SalesPerson (sales_id, name, salary, commission_rate, hire_date) values ('5', 'Alex', '5000', '10', '2/3/2007');

insert into Company (com_id, name, city) values ('1', 'RED', 'Boston');
insert into Company (com_id, name, city) values ('2', 'ORANGE', 'New York');
insert into Company (com_id, name, city) values ('3', 'YELLOW', 'Boston');
insert into Company (com_id, name, city) values ('4', 'GREEN', 'Austin');

insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('1', '1/1/2014', '3', '4', '10000');
insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('2', '2/1/2014', '4', '5', '5000');
insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('3', '3/1/2014', '1', '1', '50000');
insert into Orders (order_id, order_date, com_id, sales_id, amount) values ('4', '4/1/2014', '1', '4', '25000');

解题思路

SalesPerson表保存了所有的销售人员。

Company表保存了所有的公司。

Orders表保存了销售人员与公司之间产生的订单。

题目要求:返回从未与“RED”公司发生过订单的销售人员姓名。

那么,首先,我们可以筛选出与“RED”公司发生过订单的销售人员。

然后,从所有销售人员中排除上一步查询出的销售人员,那剩余的就是满足条件的销售人员。

参考SQL

未特别说明的情况下,参考SQL为基于MySQL8.0实现。
select
name
from SalesPerson
where sales_id not in (
select
sales_id
from Orders
where com_id in (
select
com_id
from Company
where name = 'RED'
)
);
select name from SalesPerson where sales_id not in ( select sales_id from Orders where com_id in ( select com_id from Company where name = 'RED' ) );
select
    name
from SalesPerson
where sales_id not in (
    select
        sales_id
    from Orders
    where com_id in (
            select
                com_id
            from Company
            where name = 'RED'
        )
);
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