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106 lines
3.3 KiB
HTML
106 lines
3.3 KiB
HTML
<p>表: <code>SalesPerson</code></p>
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<pre>
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+-----------------+---------+
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| Column Name | Type |
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+-----------------+---------+
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| sales_id | int |
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| name | varchar |
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| salary | int |
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| commission_rate | int |
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| hire_date | date |
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+-----------------+---------+
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sales_id 是该表的主键列。
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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。
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</pre>
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<p> </p>
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<p>表: <code>Company</code></p>
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<pre>
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+-------------+---------+
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| Column Name | Type |
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+-------------+---------+
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| com_id | int |
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| name | varchar |
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| city | varchar |
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+-------------+---------+
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com_id 是该表的主键列。
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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。
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</pre>
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<p> </p>
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<p>表: <code>Orders</code></p>
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<pre>
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+-------------+------+
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| Column Name | Type |
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+-------------+------+
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| order_id | int |
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| order_date | date |
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| com_id | int |
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| sales_id | int |
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| amount | int |
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+-------------+------+
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order_id 是该表的主键列。
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com_id 是 Company 表中 com_id 的外键。
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sales_id 是来自销售员表 sales_id 的外键。
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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。
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</pre>
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<p> </p>
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<p>编写一个SQL查询，报告没有任何与名为 <strong>“RED”</strong> 的公司相关的订单的所有销售人员的姓名。</p>
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<p>以 <strong>任意顺序</strong> 返回结果表。</p>
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<p>查询结果格式如下所示。</p>
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<p> </p>
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<p><strong>示例：</strong></p>
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<pre>
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<strong>输入：</strong>
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SalesPerson 表:
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+----------+------+--------+-----------------+------------+
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| sales_id | name | salary | commission_rate | hire_date |
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+----------+------+--------+-----------------+------------+
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| 1 | John | 100000 | 6 | 4/1/2006 |
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| 2 | Amy | 12000 | 5 | 5/1/2010 |
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| 3 | Mark | 65000 | 12 | 12/25/2008 |
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| 4 | Pam | 25000 | 25 | 1/1/2005 |
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| 5 | Alex | 5000 | 10 | 2/3/2007 |
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+----------+------+--------+-----------------+------------+
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Company 表:
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+--------+--------+----------+
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| com_id | name | city |
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+--------+--------+----------+
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| 1 | RED | Boston |
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| 2 | ORANGE | New York |
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| 3 | YELLOW | Boston |
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| 4 | GREEN | Austin |
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+--------+--------+----------+
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Orders 表:
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+----------+------------+--------+----------+--------+
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| order_id | order_date | com_id | sales_id | amount |
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+----------+------------+--------+----------+--------+
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| 1 | 1/1/2014 | 3 | 4 | 10000 |
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| 2 | 2/1/2014 | 4 | 5 | 5000 |
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| 3 | 3/1/2014 | 1 | 1 | 50000 |
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| 4 | 4/1/2014 | 1 | 4 | 25000 |
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+----------+------------+--------+----------+--------+
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<strong>输出：</strong>
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+------+
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| name |
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+------+
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| Amy |
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| Mark |
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| Alex |
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+------+
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<strong>解释：</strong>
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根据表 <code>orders</code> 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。
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所以我们需要输出表 <code>salesperson</code> 中所有其他人的名字。</pre>
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