leetcode-problemset/leetcode-cn/originData/delete-duplicate-emails.json

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            "title": "Delete Duplicate Emails",
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            "content": "<p>Table: <code>Person</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| id          | int     |\n| email       | varchar |\n+-------------+---------+\nid is the primary key (column with unique values) for this table.\nEach row of this table contains an email. The emails will not contain uppercase letters.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to<strong> delete</strong> all duplicate emails, keeping only one unique email with the smallest <code>id</code>.</p>\n\n<p>For SQL users, please note that you are supposed to write a <code>DELETE</code> statement and not a <code>SELECT</code> one.</p>\n\n<p>For Pandas users, please note that you are supposed to modify <code>Person</code> in place.</p>\n\n<p>After running your script, the answer shown is the <code>Person</code> table. The driver will first compile and run your piece of code and then show the <code>Person</code> table. The final order of the <code>Person</code> table <strong>does not matter</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nPerson table:\n+----+------------------+\n| id | email            |\n+----+------------------+\n| 1  | john@example.com |\n| 2  | bob@example.com  |\n| 3  | john@example.com |\n+----+------------------+\n<strong>Output:</strong> \n+----+------------------+\n| id | email            |\n+----+------------------+\n| 1  | john@example.com |\n| 2  | bob@example.com  |\n+----+------------------+\n<strong>Explanation:</strong> john@example.com is repeated two times. We keep the row with the smallest Id = 1.\n</pre>\n",
            "translatedTitle": "删除重复的电子邮箱",
            "translatedContent": "<p>表:&nbsp;<code>Person</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| id          | int     |\n| email       | varchar |\n+-------------+---------+\nid 是该表的主键列(具有唯一值的列)。\n该表的每一行包含一封电子邮件。电子邮件将不包含大写字母。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>编写解决方案<strong> 删除</strong> 所有重复的电子邮件，只保留一个具有最小 <code>id</code> 的唯一电子邮件。</p>\n\n<p>（对于 SQL 用户，请注意你应该编写一个 <code>DELETE</code> 语句而不是 <code>SELECT</code> 语句。）</p>\n\n<p>（对于 Pandas 用户，请注意你应该直接修改 <code>Person</code> 表。）</p>\n\n<p>运行脚本后，显示的答案是 <code>Person</code> 表。驱动程序将首先编译并运行您的代码片段，然后再显示 <code>Person</code> 表。<code>Person</code> 表的最终顺序 <strong>无关紧要</strong> 。</p>\n\n<p>返回结果格式如下示例所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong class=\"example\">示例 1:</strong></p>\n\n<pre>\n<strong>输入:</strong> \nPerson 表:\n+----+------------------+\n| id | email            |\n+----+------------------+\n| 1  | john@example.com |\n| 2  | bob@example.com  |\n| 3  | john@example.com |\n+----+------------------+\n<strong>输出:</strong> \n+----+------------------+\n| id | email            |\n+----+------------------+\n| 1  | john@example.com |\n| 2  | bob@example.com  |\n+----+------------------+\n<strong>解释:</strong> john@example.com重复两次。我们保留最小的Id = 1。</pre>\n",
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            "sampleTestCase": "{\"headers\": {\"Person\": [\"id\", \"email\"]}, \"rows\": {\"Person\": [[1, \"john@example.com\"], [2, \"bob@example.com\"], [3, \"john@example.com\"]]}}",
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