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<p><code>Views</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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| article_id | int |
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| author_id | int |
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| viewer_id | int |
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| view_date | date |
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+---------------+---------+
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2023-12-09 18:42:21 +08:00
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此表可能会存在重复行。(换句话说,在 SQL 中这个表没有主键)
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此表的每一行都表示某人在某天浏览了某位作者的某篇文章。
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请注意,同一人的 author_id 和 viewer_id 是相同的。
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</pre>
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<p> </p>
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2023-12-09 18:42:21 +08:00
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<p>请查询出所有浏览过自己文章的作者</p>
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<p>结果按照 <code>id</code> 升序排列。</p>
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2022-03-27 20:37:52 +08:00
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<p>查询结果的格式如下所示:</p>
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2023-12-09 18:42:21 +08:00
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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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2023-12-09 18:42:21 +08:00
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<strong>输入:</strong>
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2022-03-27 20:37:52 +08:00
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Views 表:
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+------------+-----------+-----------+------------+
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| article_id | author_id | viewer_id | view_date |
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+------------+-----------+-----------+------------+
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| 1 | 3 | 5 | 2019-08-01 |
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| 1 | 3 | 6 | 2019-08-02 |
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| 2 | 7 | 7 | 2019-08-01 |
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| 2 | 7 | 6 | 2019-08-02 |
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| 4 | 7 | 1 | 2019-07-22 |
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| 3 | 4 | 4 | 2019-07-21 |
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| 3 | 4 | 4 | 2019-07-21 |
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+------------+-----------+-----------+------------+
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2023-12-09 18:42:21 +08:00
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<strong>输出:</strong>
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2022-03-27 20:37:52 +08:00
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+------+
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| id |
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+------+
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| 4 |
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| 7 |
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+------+
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</pre>
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