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63 lines
1.3 KiB
HTML
63 lines
1.3 KiB
HTML
<p><code>Customers</code> 表：</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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| id | int |
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| name | varchar |
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+-------------+---------+
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在 SQL 中，id 是该表的主键。
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该表的每一行都表示客户的 ID 和名称。</pre>
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<p><code>Orders</code> 表：</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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| id | int |
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| customerId | int |
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+-------------+------+
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在 SQL 中，id 是该表的主键。
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customerId 是 Customers 表中 ID 的外键( Pandas 中的连接键)。
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该表的每一行都表示订单的 ID 和订购该订单的客户的 ID。</pre>
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<p> </p>
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<p>找出所有从不点任何东西的顾客。</p>
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<p>以 <strong>任意顺序</strong> 返回结果表。</p>
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<p>结果格式如下所示。</p>
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<p> </p>
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<p><strong>示例 1：</strong></p>
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<pre>
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<b>输入：</b>
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Customers table:
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+----+-------+
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| id | name |
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+----+-------+
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| 1 | Joe |
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| 2 | Henry |
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| 3 | Sam |
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| 4 | Max |
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+----+-------+
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Orders table:
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+----+------------+
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| id | customerId |
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+----+------------+
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| 1 | 3 |
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| 2 | 1 |
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+----+------------+
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<b>输出：</b>
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+-----------+
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| Customers |
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+-----------+
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| Henry |
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| Max |
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+-----------+</pre>
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