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leetcode-cn/originData/second-highest-salary.json
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@@ -7,17 +7,17 @@
"boundTopicId": 1177,
"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",
"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 <strong>distinct</strong> 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",
"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+-------------+------+\nid 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 <b>不同</b>&nbsp;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",
"isPaidOnly": false,
"difficulty": "Medium",
"likes": 1419,
"likes": 1508,
"dislikes": 0,
"isLiked": null,
"similarQuestions": "[]",
"contributors": [],
"langToValidPlayground": "{\"cpp\": false, \"java\": false, \"python\": false, \"python3\": false, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"typescript\": false, \"bash\": false, \"php\": false, \"swift\": false, \"kotlin\": false, \"dart\": false, \"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false}",
"langToValidPlayground": "{\"cpp\": false, \"java\": false, \"python\": false, \"python3\": false, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"typescript\": false, \"bash\": false, \"php\": false, \"swift\": false, \"kotlin\": false, \"dart\": false, \"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false, \"cangjie\": false}",
"topicTags": [
{
"name": "Database",
@@ -59,7 +59,7 @@
"__typename": "CodeSnippetNode"
}
],
"stats": "{\"totalAccepted\": \"448.8K\", \"totalSubmission\": \"1.2M\", \"totalAcceptedRaw\": 448765, \"totalSubmissionRaw\": 1214261, \"acRate\": \"37.0%\"}",
"stats": "{\"totalAccepted\": \"506.2K\", \"totalSubmission\": \"1.3M\", \"totalAcceptedRaw\": 506180, \"totalSubmissionRaw\": 1331125, \"acRate\": \"38.0%\"}",
"hints": [],
"solution": {
"id": "102",
@@ -79,7 +79,7 @@
"insert into Employee (id, salary) values ('3', '300')"
],
"enableRunCode": true,
"envInfo": "{\"mysql\":[\"MySQL\",\"<p>\\u7248\\u672c\\uff1a<code>MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"<p>mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"<p>Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
"envInfo": "{\"mysql\":[\"MySQL\",\"<p>\\u7248\\u672c\\uff1a<code>MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"<p>mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"<p>Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
"book": null,
"isSubscribed": false,
"isDailyQuestion": false,