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https://gitee.com/coder-xiaomo/leetcode-problemset
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92 lines
7.5 KiB
JSON
92 lines
7.5 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "2110",
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"questionFrontendId": "1965",
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"boundTopicId": null,
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"title": "Employees With Missing Information",
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"titleSlug": "employees-with-missing-information",
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"content": "<p>Table: <code>Employees</code></p>\n\n<pre>\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</pre>\n\n<p> </p>\n\n<p>Table: <code>Salaries</code></p>\n\n<pre>\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</pre>\n\n<p> </p>\n\n<p>Write a solution to report the IDs of all the employees with <strong>missing information</strong>. The information of an employee is missing if:</p>\n\n<ul>\n\t<li>The employee's <strong>name</strong> is missing, or</li>\n\t<li>The employee's <strong>salary</strong> is missing.</li>\n</ul>\n\n<p>Return the result table ordered by <code>employee_id</code> <strong>in ascending order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \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+-------------+--------+\n<strong>Output:</strong> \n+-------------+\n| employee_id |\n+-------------+\n| 1 |\n| 2 |\n+-------------+\n<strong>Explanation:</strong> \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</pre>\n",
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"translatedTitle": null,
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"translatedContent": null,
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"isPaidOnly": false,
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"difficulty": "Easy",
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"likes": 658,
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"dislikes": 35,
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"isLiked": null,
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"similarQuestions": "[]",
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"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]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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"topicTags": [
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{
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"name": "Database",
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"slug": "database",
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"translatedName": null,
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"__typename": "TopicTagNode"
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}
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],
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"companyTagStats": null,
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"codeSnippets": [
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{
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"lang": "MySQL",
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"langSlug": "mysql",
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"code": "# Write your MySQL query statement below\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "MS SQL Server",
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"langSlug": "mssql",
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"code": "/* Write your T-SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Oracle",
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef find_employees(employees: pd.DataFrame, salaries: pd.DataFrame) -> pd.DataFrame:\n ",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below\n",
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"__typename": "CodeSnippetNode"
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}
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],
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"stats": "{\"totalAccepted\": \"109K\", \"totalSubmission\": \"151.2K\", \"totalAcceptedRaw\": 109005, \"totalSubmissionRaw\": 151250, \"acRate\": \"72.1%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"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]]}}",
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"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\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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"Create table If Not Exists Employees (employee_id int, name varchar(30))",
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"Create table If Not Exists Salaries (employee_id int, salary int)",
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"Truncate table Employees",
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"insert into Employees (employee_id, name) values ('2', 'Crew')",
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"insert into Employees (employee_id, name) values ('4', 'Haven')",
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"insert into Employees (employee_id, name) values ('5', 'Kristian')",
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"Truncate table Salaries",
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"insert into Salaries (employee_id, salary) values ('5', '76071')",
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"insert into Salaries (employee_id, salary) values ('1', '22517')",
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"insert into Salaries (employee_id, salary) values ('4', '63539')"
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],
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": false,
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"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>\"]}",
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"libraryUrl": null,
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"adminUrl": null,
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"challengeQuestion": null,
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"__typename": "QuestionNode"
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}
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}
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} |