{ "data": { "question": { "questionId": "2110", "questionFrontendId": "1965", "boundTopicId": null, "title": "Employees With Missing Information", "titleSlug": "employees-with-missing-information", "content": "
Table: Employees
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| employee_id | int |\n| name | varchar |\n+-------------+---------+\nemployee_id is the column with unique values for this table.\nEach row of this table indicates the name of the employee whose ID is employee_id.\n\n\n
\n\n
Table: Salaries
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| employee_id | int |\n| salary | int |\n+-------------+---------+\nemployee_id is the column with unique values for this table.\nEach row of this table indicates the salary of the employee whose ID is employee_id.\n\n\n
\n\n
Write a solution to report the IDs of all the employees with missing information. The information of an employee is missing if:
\n\nReturn the result table ordered by employee_id
in ascending order.
The result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \nEmployees table:\n+-------------+----------+\n| employee_id | name |\n+-------------+----------+\n| 2 | Crew |\n| 4 | Haven |\n| 5 | Kristian |\n+-------------+----------+\nSalaries table:\n+-------------+--------+\n| employee_id | salary |\n+-------------+--------+\n| 5 | 76071 |\n| 1 | 22517 |\n| 4 | 63539 |\n+-------------+--------+\nOutput: \n+-------------+\n| employee_id |\n+-------------+\n| 1 |\n| 2 |\n+-------------+\nExplanation: \nEmployees 1, 2, 4, and 5 are working at this company.\nThe name of employee 1 is missing.\nThe salary of employee 2 is missing.\n\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Easy", "likes": 658, "dislikes": 35, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "{\"headers\":{\"Employees\":[\"employee_id\",\"name\"],\"Salaries\":[\"employee_id\",\"salary\"]},\"rows\":{\"Employees\":[[2,\"Crew\"],[4,\"Haven\"],[5,\"Kristian\"]],\"Salaries\":[[5,76071],[1,22517],[4,63539]]}}", "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, salaries: pd.DataFrame) -> pd.DataFrame:\n ", "__typename": "CodeSnippetNode" }, { "lang": "PostgreSQL", "langSlug": "postgresql", "code": "-- Write your PostgreSQL query statement below\n", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"109K\", \"totalSubmission\": \"151.2K\", \"totalAcceptedRaw\": 109005, \"totalSubmissionRaw\": 151250, \"acRate\": \"72.1%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "{\"headers\":{\"Employees\":[\"employee_id\",\"name\"],\"Salaries\":[\"employee_id\",\"salary\"]},\"rows\":{\"Employees\":[[2,\"Crew\"],[4,\"Haven\"],[5,\"Kristian\"]],\"Salaries\":[[5,76071],[1,22517],[4,63539]]}}", "metaData": "{\"mysql\": [\"Create table If Not Exists Employees (employee_id int, name varchar(30))\", \"Create table If Not Exists Salaries (employee_id int, salary int)\"], \"mssql\": [\"Create table Employees (employee_id int, name varchar(30))\", \"Create table Salaries (employee_id int, salary int)\"], \"oraclesql\": [\"Create table Employees (employee_id int, name varchar(30))\", \"Create table Salaries (employee_id int, salary int)\"], \"database\": true, \"name\": \"find_employees\", \"pythondata\": [\"Employees = pd.DataFrame([], columns=['employee_id', 'name']).astype({'employee_id':'Int64', 'name':'object'})\", \"Salaries = pd.DataFrame([], columns=['employee_id', 'salary']).astype({'employee_id':'Int64', 'salary':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Employees (employee_id int, name varchar(30))\", \"Create table If Not Exists Salaries (employee_id int, salary int)\"], \"database_schema\": {\"Employees\": {\"employee_id\": \"INT\", \"name\": \"VARCHAR(30)\"}, \"Salaries\": {\"employee_id\": \"INT\", \"salary\": \"INT\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Employees (employee_id int, name varchar(30))", "Create table If Not Exists Salaries (employee_id int, salary int)", "Truncate table Employees", "insert into Employees (employee_id, name) values ('2', 'Crew')", "insert into Employees (employee_id, name) values ('4', 'Haven')", "insert into Employees (employee_id, name) values ('5', 'Kristian')", "Truncate table Salaries", "insert into Salaries (employee_id, salary) values ('5', '76071')", "insert into Salaries (employee_id, salary) values ('1', '22517')", "insert into Salaries (employee_id, salary) values ('4', '63539')" ], "enableRunCode": true, "enableTestMode": false, "enableDebugger": false, "envInfo": "{\"mysql\": [\"MySQL\", \"
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mssql server 2019
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Oracle Sql 11.2
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Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0
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