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{
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"question": {
"questionId": "176",
"questionFrontendId": "176",
"categoryTitle": "Database",
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"title": "Second Highest Salary",
"titleSlug": "second-highest-salary",
"content": "<p>Table: <code>Employee</code></p>\n\n<pre>\n+-------------+------+\n| Column Name | Type |\n+-------------+------+\n| id | int |\n| salary | int |\n+-------------+------+\nid is the primary key (column with unique values) for this table.\nEach row of this table contains information about the salary of an employee.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find&nbsp;the second highest salary from the <code>Employee</code> table. If there is no second highest salary,&nbsp;return&nbsp;<code>null (return&nbsp;None in Pandas)</code>.</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> \nEmployee table:\n+----+--------+\n| id | salary |\n+----+--------+\n| 1 | 100 |\n| 2 | 200 |\n| 3 | 300 |\n+----+--------+\n<strong>Output:</strong> \n+---------------------+\n| SecondHighestSalary |\n+---------------------+\n| 200 |\n+---------------------+\n</pre>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nEmployee table:\n+----+--------+\n| id | salary |\n+----+--------+\n| 1 | 100 |\n+----+--------+\n<strong>Output:</strong> \n+---------------------+\n| SecondHighestSalary |\n+---------------------+\n| null |\n+---------------------+\n</pre>\n",
"translatedTitle": "第二高的薪水",
"translatedContent": "<code>Employee</code> 表:\n<div class=\"original__bRMd\">\n<div>\n<pre>\n+-------------+------+\n| Column Name | Type |\n+-------------+------+\n| id | int |\n| salary | int |\n+-------------+------+\n在 SQL 中id 是这个表的主键。\n表的每一行包含员工的工资信息。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>查询并返回 <code>Employee</code>&nbsp;表中第二高的薪水 。如果不存在第二高的薪水,查询应该返回 <code>null(Pandas 则返回 None)</code> 。</p>\n\n<p>查询结果如下例所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例 1</strong></p>\n\n<pre>\n<strong>输入:</strong>\nEmployee 表:\n+----+--------+\n| id | salary |\n+----+--------+\n| 1 | 100 |\n| 2 | 200 |\n| 3 | 300 |\n+----+--------+\n<strong>输出:</strong>\n+---------------------+\n| SecondHighestSalary |\n+---------------------+\n| 200 |\n+---------------------+\n</pre>\n\n<p><strong>示例 2</strong></p>\n\n<pre>\n<strong>输入:</strong>\nEmployee 表:\n+----+--------+\n| id | salary |\n+----+--------+\n| 1 | 100 |\n+----+--------+\n<strong>输出:</strong>\n+---------------------+\n| SecondHighestSalary |\n+---------------------+\n| null |\n+---------------------+\n</pre>\n</div>\n</div>\n",
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"lang": "MySQL",
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"code": "# Write your MySQL query statement below",
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"lang": "Pandas",
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"code": "import pandas as pd\n\ndef second_highest_salary(employee: pd.DataFrame) -> pd.DataFrame:\n ",
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"solution": {
"id": "102",
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"sampleTestCase": "{\"headers\":{\"Employee\":[\"id\",\"salary\"]},\"rows\":{\"Employee\":[[1,100],[2,200],[3,300]]}}",
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"exampleTestcases": "{\"headers\":{\"Employee\":[\"id\",\"salary\"]},\"rows\":{\"Employee\":[[1,100],[2,200],[3,300]]}}\n{\"headers\":{\"Employee\":[\"id\",\"salary\"]},\"rows\":{\"Employee\":[[1,100]]}}",
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