leetcode-problemset/leetcode/originData/employees-whose-manager-left-the-company.json

{
    "data": {
        "question": {
            "questionId": "2127",
            "questionFrontendId": "1978",
            "boundTopicId": null,
            "title": "Employees Whose Manager Left the Company",
            "titleSlug": "employees-whose-manager-left-the-company",
            "content": "<p>Table: <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+-------------+----------+\nIn SQL, employee_id is the primary key for this table.\nThis table contains information about the employees, their salary, and the ID of their manager. Some employees do not have a manager (manager_id is null). \n</pre>\n\n<p>&nbsp;</p>\n\n<p>Find the IDs of the employees whose salary is strictly less than <code>$30000</code> and whose manager left the company. When a manager leaves the company, their information is deleted from the <code>Employees</code> table, but the reports still have their <code>manager_id</code> set to the manager that left.</p>\n\n<p>Return the result table ordered by <code>employee_id</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> \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>Output:</strong> \n+-------------+\n| employee_id |\n+-------------+\n| 11          |\n+-------------+\n\n<strong>Explanation:</strong> \nThe employees with a salary less than $30000 are 1 (Kalel) and 11 (Joziah).\nKalel&#39;s manager is employee 11, who is still in the company (Joziah).\nJoziah&#39;s manager is employee 6, who left the company because there is no row for employee 6 as it was deleted.\n</pre>\n",
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": false,
            "difficulty": "Easy",
            "likes": 272,
            "dislikes": 22,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "{\"headers\": {\"Employees\": [\"employee_id\", \"name\", \"manager_id\", \"salary\"]}, \"rows\": {\"Employees\": [[3, \"Mila\", 9, 60301], [12, \"Antonella\", null, 31000], [13, \"Emery\", null, 67084], [1, \"Kalel\", 11, 21241], [9, \"Mikaela\", null, 50937], [11, \"Joziah\", 6, 28485]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [
                {
                    "name": "Database",
                    "slug": "database",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                }
            ],
            "companyTagStats": null,
            "codeSnippets": [
                {
                    "lang": "MySQL",
                    "langSlug": "mysql",
                    "code": "# Write your MySQL query statement below\n",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "MS SQL Server",
                    "langSlug": "mssql",
                    "code": "/* Write your T-SQL query statement below */\n",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Oracle",
                    "langSlug": "oraclesql",
                    "code": "/* Write your PL/SQL query statement below */\n",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef find_employees(employees: pd.DataFrame) -> pd.DataFrame:\n    ",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "PostgreSQL",
                    "langSlug": "postgresql",
                    "code": "-- Write your PostgreSQL query statement below\n",
                    "__typename": "CodeSnippetNode"
                }
            ],
            "stats": "{\"totalAccepted\": \"52.6K\", \"totalSubmission\": \"112K\", \"totalAcceptedRaw\": 52603, \"totalSubmissionRaw\": 112017, \"acRate\": \"47.0%\"}",
            "hints": [],
            "solution": null,
            "status": null,
            "sampleTestCase": "{\"headers\": {\"Employees\": [\"employee_id\", \"name\", \"manager_id\", \"salary\"]}, \"rows\": {\"Employees\": [[3, \"Mila\", 9, 60301], [12, \"Antonella\", null, 31000], [13, \"Emery\", null, 67084], [1, \"Kalel\", 11, 21241], [9, \"Mikaela\", null, 50937], [11, \"Joziah\", 6, 28485]]}}",
            "metaData": "{\"mysql\": [\"Create table If Not Exists Employees (employee_id int, name varchar(20), manager_id int, salary int)\"], \"mssql\": [\"Create table Employees (employee_id int, name varchar(20), manager_id int, salary int)\"], \"oraclesql\": [\"Create table Employees (employee_id int, name varchar(20), manager_id int, salary int)\"], \"database\": true, \"name\": \"find_employees\", \"pythondata\": [\"Employees = pd.DataFrame([], columns=['employee_id', 'name', 'manager_id', 'salary']).astype({'employee_id':'Int64', 'name':'object', 'manager_id':'Int64', 'salary':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Employees (employee_id int, name varchar(20), manager_id int, salary int)\"], \"database_schema\": {\"Employees\": {\"employee_id\": \"INT\", \"name\": \"VARCHAR(20)\", \"manager_id\": \"INT\", \"salary\": \"INT\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table If Not Exists Employees (employee_id int, name varchar(20), manager_id int, salary int)",
                "Truncate table Employees",
                "insert into Employees (employee_id, name, manager_id, salary) values ('3', 'Mila', '9', '60301')",
                "insert into Employees (employee_id, name, manager_id, salary) values ('12', 'Antonella', 'None', '31000')",
                "insert into Employees (employee_id, name, manager_id, salary) values ('13', 'Emery', 'None', '67084')",
                "insert into Employees (employee_id, name, manager_id, salary) values ('1', 'Kalel', '11', '21241')",
                "insert into Employees (employee_id, name, manager_id, salary) values ('9', 'Mikaela', 'None', '50937')",
                "insert into Employees (employee_id, name, manager_id, salary) values ('11', 'Joziah', '6', '28485')"
            ],
            "enableRunCode": true,
            "enableTestMode": false,
            "enableDebugger": false,
            "envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
            "libraryUrl": null,
            "adminUrl": null,
            "challengeQuestion": null,
            "__typename": "QuestionNode"
        }
    }
}