leetcode-problemset/leetcode-cn/originData/managers-with-at-least-5-direct-reports.json

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            "questionId": "570",
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            "categoryTitle": "Database",
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            "title": "Managers with at Least 5 Direct Reports",
            "titleSlug": "managers-with-at-least-5-direct-reports",
            "content": "<p>Table: <code>Employee</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| id          | int     |\n| name        | varchar |\n| department  | varchar |\n| managerId   | int     |\n+-------------+---------+\nid is the primary key (column with unique values) for this table.\nEach row of this table indicates the name of an employee, their department, and the id of their manager.\nIf managerId is null, then the employee does not have a manager.\nNo employee will be the manager of themself.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find managers with at least <strong>five direct reports</strong>.</p>\n\n<p>Return the result table in <strong>any order</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> \nEmployee table:\n+-----+-------+------------+-----------+\n| id  | name  | department | managerId |\n+-----+-------+------------+-----------+\n| 101 | John  | A          | null      |\n| 102 | Dan   | A          | 101       |\n| 103 | James | A          | 101       |\n| 104 | Amy   | A          | 101       |\n| 105 | Anne  | A          | 101       |\n| 106 | Ron   | B          | 101       |\n+-----+-------+------------+-----------+\n<strong>Output:</strong> \n+------+\n| name |\n+------+\n| John |\n+------+\n</pre>\n",
            "translatedTitle": "至少有5名直接下属的经理",
            "translatedContent": "<p>表:&nbsp;<code>Employee</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| id          | int     |\n| name        | varchar |\n| department  | varchar |\n| managerId   | int     |\n+-------------+---------+\nid 是此表的主键（具有唯一值的列）。\n该表的每一行表示雇员的名字、他们的部门和他们的经理的id。\n如果managerId为空，则该员工没有经理。\n没有员工会成为自己的管理者。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>编写一个解决方案，找出至少有<strong>五个直接下属</strong>的经理。</p>\n\n<p>以 <strong>任意顺序 </strong>返回结果表。</p>\n\n<p>查询结果格式如下所示。</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  | name  | department | managerId |\n+-----+-------+------------+-----------+\n| 101 | John  | A          | Null      |\n| 102 | Dan   | A          | 101       |\n| 103 | James | A          | 101       |\n| 104 | Amy   | A          | 101       |\n| 105 | Anne  | A          | 101       |\n| 106 | Ron   | B          | 101       |\n+-----+-------+------------+-----------+\n<strong>输出:</strong> \n+------+\n| name |\n+------+\n| John |\n+------+</pre>\n",
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                    "lang": "MySQL",
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                    "code": "# Write your MySQL query statement below",
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                    "lang": "MS SQL Server",
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                    "code": "/* Write your T-SQL query statement below */",
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                    "code": "/* Write your PL/SQL query statement below */",
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                    "code": "import pandas as pd\n\ndef find_managers(employee: pd.DataFrame) -> pd.DataFrame:\n    ",
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                    "lang": "PostgreSQL",
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            "hints": [
                "Try to get all the mangerIDs that have count bigger than 5",
                "Use the last hint's result as a table and do join with origin table at id equals to managerId",
                "This is a very good example to show the performance of SQL code. Try to work out other solutions and you may be surprised by running time difference.",
                "If your solution uses 'IN' function and runs more than 5 seconds, try to optimize it by using 'JOIN' instead."
            ],
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            "sampleTestCase": "{\"headers\": {\"Employee\": [\"id\", \"name\", \"department\", \"managerId\"]}, \"rows\": {\"Employee\": [[101, \"John\", \"A\", null],[102, \"Dan\", \"A\", 101], [103, \"James\", \"A\", 101], [104, \"Amy\", \"A\", 101], [105, \"Anne\", \"A\", 101], [106, \"Ron\", \"B\", 101]]}}",
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                "Create table If Not Exists Employee (id int, name varchar(255), department varchar(255), managerId int)",
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                "insert into Employee (id, name, department, managerId) values ('101', 'John', 'A', 'None')",
                "insert into Employee (id, name, department, managerId) values ('102', 'Dan', 'A', '101')",
                "insert into Employee (id, name, department, managerId) values ('103', 'James', 'A', '101')",
                "insert into Employee (id, name, department, managerId) values ('104', 'Amy', 'A', '101')",
                "insert into Employee (id, name, department, managerId) values ('105', 'Anne', 'A', '101')",
                "insert into Employee (id, name, department, managerId) values ('106', 'Ron', 'B', '101')"
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            "exampleTestcases": "{\"headers\": {\"Employee\": [\"id\", \"name\", \"department\", \"managerId\"]}, \"rows\": {\"Employee\": [[101, \"John\", \"A\", null],[102, \"Dan\", \"A\", 101], [103, \"James\", \"A\", 101], [104, \"Amy\", \"A\", 101], [105, \"Anne\", \"A\", 101], [106, \"Ron\", \"B\", 101]]}}",
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