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https://gitee.com/coder-xiaomo/leetcode-problemset
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@@ -12,12 +12,12 @@
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"translatedContent": "<p>表: <code>Employees</code></p>\n\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| employee_id | int |\n| name | varchar |\n| manager_id | int |\n| salary | int |\n+-------------+----------+\n在 SQL 中,employee_id 是这个表的主键。\n这个表包含了员工,他们的薪水和上级经理的id。\n有一些员工没有上级经理(其 manager_id 是空值)。\n</pre>\n\n<p> </p>\n\n<p>查找这些员工的id,他们的薪水严格少于<code>$30000</code> 并且他们的上级经理已离职。当一个经理离开公司时,他们的信息需要从员工表中删除掉,但是表中的员工的<code>manager_id</code> 这一列还是设置的离职经理的id 。</p>\n\n<p>返回的结果按照<code>employee_id </code>从小到大排序。</p>\n\n<p>查询结果如下所示:</p>\n\n<p> </p>\n\n<p><strong>示例:</strong></p>\n\n<pre>\n<strong>输入:</strong>\nEmployees table:\n+-------------+-----------+------------+--------+\n| employee_id | name | manager_id | salary |\n+-------------+-----------+------------+--------+\n| 3 | Mila | 9 | 60301 |\n| 12 | Antonella | null | 31000 |\n| 13 | Emery | null | 67084 |\n| 1 | Kalel | 11 | 21241 |\n| 9 | Mikaela | null | 50937 |\n| 11 | Joziah | 6 | 28485 |\n+-------------+-----------+------------+--------+\n<strong>输出:</strong>\n+-------------+\n| employee_id |\n+-------------+\n| 11 |\n+-------------+\n\n<strong>解释:</strong>\n薪水少于 30000 美元的员工有 1 号(Kalel) 和 11号 (Joziah)。\nKalel 的上级经理是 11 号员工,他还在公司上班(他是 Joziah )。\nJoziah 的上级经理是 6 号员工,他已经离职,因为员工表里面已经没有 6 号员工的信息了,它被删除了。\n</pre>\n",
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"difficulty": "Easy",
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@@ -40,6 +40,12 @@
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"code": "/* Write your T-SQL query statement below */",
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@@ -51,15 +57,9 @@
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"code": "import pandas as pd\n\ndef find_employees(employees: pd.DataFrame) -> pd.DataFrame:\n ",
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