mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
synced 2025-01-10 18:48:13 +08:00
98 lines
11 KiB
JSON
98 lines
11 KiB
JSON
{
|
||
"data": {
|
||
"question": {
|
||
"questionId": "1161",
|
||
"questionFrontendId": "1075",
|
||
"categoryTitle": "Database",
|
||
"boundTopicId": 8825,
|
||
"title": "Project Employees I",
|
||
"titleSlug": "project-employees-i",
|
||
"content": "<p>Table: <code>Project</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| project_id | int |\n| employee_id | int |\n+-------------+---------+\n(project_id, employee_id) is the primary key of this table.\nemployee_id is a foreign key to <code>Employee</code> table.\nEach row of this table indicates that the employee with employee_id is working on the project with project_id.\n</pre>\n\n<p> </p>\n\n<p>Table: <code>Employee</code></p>\n\n<pre>\n+------------------+---------+\n| Column Name | Type |\n+------------------+---------+\n| employee_id | int |\n| name | varchar |\n| experience_years | int |\n+------------------+---------+\nemployee_id is the primary key of this table. It's guaranteed that experience_years is not NULL.\nEach row of this table contains information about one employee.\n</pre>\n\n<p> </p>\n\n<p>Write an SQL query that reports the <strong>average</strong> experience years of all the employees for each project, <strong>rounded to 2 digits</strong>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The query 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> \nProject table:\n+-------------+-------------+\n| project_id | employee_id |\n+-------------+-------------+\n| 1 | 1 |\n| 1 | 2 |\n| 1 | 3 |\n| 2 | 1 |\n| 2 | 4 |\n+-------------+-------------+\nEmployee table:\n+-------------+--------+------------------+\n| employee_id | name | experience_years |\n+-------------+--------+------------------+\n| 1 | Khaled | 3 |\n| 2 | Ali | 2 |\n| 3 | John | 1 |\n| 4 | Doe | 2 |\n+-------------+--------+------------------+\n<strong>Output:</strong> \n+-------------+---------------+\n| project_id | average_years |\n+-------------+---------------+\n| 1 | 2.00 |\n| 2 | 2.50 |\n+-------------+---------------+\n<strong>Explanation:</strong> The average experience years for the first project is (3 + 2 + 1) / 3 = 2.00 and for the second project is (3 + 2) / 2 = 2.50\n</pre>\n",
|
||
"translatedTitle": "项目员工 I",
|
||
"translatedContent": "<p>项目表 <code>Project</code>: </p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| project_id | int |\n| employee_id | int |\n+-------------+---------+\n主键为 (project_id, employee_id)。\nemployee_id 是员工表 <code>Employee 表的外键。</code>\n</pre>\n\n<p>员工表 <code>Employee</code>:</p>\n\n<pre>\n+------------------+---------+\n| Column Name | Type |\n+------------------+---------+\n| employee_id | int |\n| name | varchar |\n| experience_years | int |\n+------------------+---------+\n主键是 employee_id。\n</pre>\n\n<p> </p>\n\n<p>请写一个 SQL 语句,查询每一个项目中员工的 <strong>平均 </strong>工作年限,<strong>精确到小数点后两位</strong>。</p>\n\n<p>查询结果的格式如下:</p>\n\n<pre>\nProject 表:\n+-------------+-------------+\n| project_id | employee_id |\n+-------------+-------------+\n| 1 | 1 |\n| 1 | 2 |\n| 1 | 3 |\n| 2 | 1 |\n| 2 | 4 |\n+-------------+-------------+\n\nEmployee 表:\n+-------------+--------+------------------+\n| employee_id | name | experience_years |\n+-------------+--------+------------------+\n| 1 | Khaled | 3 |\n| 2 | Ali | 2 |\n| 3 | John | 1 |\n| 4 | Doe | 2 |\n+-------------+--------+------------------+\n\nResult 表:\n+-------------+---------------+\n| project_id | average_years |\n+-------------+---------------+\n| 1 | 2.00 |\n| 2 | 2.50 |\n+-------------+---------------+\n第一个项目中,员工的平均工作年限是 (3 + 2 + 1) / 3 = 2.00;第二个项目中,员工的平均工作年限是 (3 + 2) / 2 = 2.50\n</pre>\n",
|
||
"isPaidOnly": false,
|
||
"difficulty": "Easy",
|
||
"likes": 53,
|
||
"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}",
|
||
"topicTags": [
|
||
{
|
||
"name": "Database",
|
||
"slug": "database",
|
||
"translatedName": "数据库",
|
||
"__typename": "TopicTagNode"
|
||
}
|
||
],
|
||
"companyTagStats": null,
|
||
"codeSnippets": [
|
||
{
|
||
"lang": "MySQL",
|
||
"langSlug": "mysql",
|
||
"code": "# Write your MySQL query statement below",
|
||
"__typename": "CodeSnippetNode"
|
||
},
|
||
{
|
||
"lang": "MS SQL Server",
|
||
"langSlug": "mssql",
|
||
"code": "/* Write your T-SQL query statement below */",
|
||
"__typename": "CodeSnippetNode"
|
||
},
|
||
{
|
||
"lang": "Oracle",
|
||
"langSlug": "oraclesql",
|
||
"code": "/* Write your PL/SQL query statement below */",
|
||
"__typename": "CodeSnippetNode"
|
||
},
|
||
{
|
||
"lang": "Pandas",
|
||
"langSlug": "pythondata",
|
||
"code": "import pandas as pd\n\ndef project_employees_i(project: pd.DataFrame, employee: pd.DataFrame) -> pd.DataFrame:\n ",
|
||
"__typename": "CodeSnippetNode"
|
||
},
|
||
{
|
||
"lang": "PostgreSQL",
|
||
"langSlug": "postgresql",
|
||
"code": "-- Write your PostgreSQL query statement below",
|
||
"__typename": "CodeSnippetNode"
|
||
}
|
||
],
|
||
"stats": "{\"totalAccepted\": \"35.7K\", \"totalSubmission\": \"52.8K\", \"totalAcceptedRaw\": 35725, \"totalSubmissionRaw\": 52818, \"acRate\": \"67.6%\"}",
|
||
"hints": [],
|
||
"solution": null,
|
||
"status": null,
|
||
"sampleTestCase": "{\"headers\":{\"Project\":[\"project_id\",\"employee_id\"],\"Employee\":[\"employee_id\",\"name\",\"experience_years\"]},\"rows\":{\"Project\":[[1,1],[1,2],[1,3],[2,1],[2,4]],\"Employee\":[[1,\"Khaled\",3],[2,\"Ali\",2],[3,\"John\",1],[4,\"Doe\",2]]}}",
|
||
"metaData": "{\"mysql\":[\"Create table If Not Exists Project (project_id int, employee_id int)\",\"Create table If Not Exists Employee (employee_id int, name varchar(10), experience_years int)\"],\"mssql\":[\"Create table Project (project_id int, employee_id int)\",\"Create table Employee (employee_id int, name varchar(10), experience_years int)\"],\"oraclesql\":[\"Create table Project (project_id int, employee_id int)\",\"Create table Employee (employee_id int, name varchar(10), experience_years int)\"],\"database\":true,\"name\":\"project_employees_i\",\"pythondata\":[\"Project = pd.DataFrame([], columns=['project_id', 'employee_id']).astype({'project_id':'Int64', 'employee_id':'Int64'})\",\"Employee = pd.DataFrame([], columns=['employee_id', 'name', 'experience_years']).astype({'employee_id':'Int64', 'name':'object', 'experience_years':'Int64'})\"],\"postgresql\":[\"Create table If Not Exists Project (project_id int, employee_id int)\",\"Create table If Not Exists Employee (employee_id int, name varchar(10), experience_years int)\"],\"database_schema\":{\"Project\":{\"project_id\":\"INT\",\"employee_id\":\"INT\"},\"Employee\":{\"employee_id\":\"INT\",\"name\":\"VARCHAR(10)\",\"experience_years\":\"INT\"}}}",
|
||
"judgerAvailable": true,
|
||
"judgeType": "large",
|
||
"mysqlSchemas": [
|
||
"Create table If Not Exists Project (project_id int, employee_id int)",
|
||
"Create table If Not Exists Employee (employee_id int, name varchar(10), experience_years int)",
|
||
"Truncate table Project",
|
||
"insert into Project (project_id, employee_id) values ('1', '1')",
|
||
"insert into Project (project_id, employee_id) values ('1', '2')",
|
||
"insert into Project (project_id, employee_id) values ('1', '3')",
|
||
"insert into Project (project_id, employee_id) values ('2', '1')",
|
||
"insert into Project (project_id, employee_id) values ('2', '4')",
|
||
"Truncate table Employee",
|
||
"insert into Employee (employee_id, name, experience_years) values ('1', 'Khaled', '3')",
|
||
"insert into Employee (employee_id, name, experience_years) values ('2', 'Ali', '2')",
|
||
"insert into Employee (employee_id, name, experience_years) values ('3', 'John', '1')",
|
||
"insert into Employee (employee_id, name, experience_years) values ('4', 'Doe', '2')"
|
||
],
|
||
"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>\"]}",
|
||
"book": null,
|
||
"isSubscribed": false,
|
||
"isDailyQuestion": false,
|
||
"dailyRecordStatus": null,
|
||
"editorType": "CKEDITOR",
|
||
"ugcQuestionId": null,
|
||
"style": "LEETCODE",
|
||
"exampleTestcases": "{\"headers\":{\"Project\":[\"project_id\",\"employee_id\"],\"Employee\":[\"employee_id\",\"name\",\"experience_years\"]},\"rows\":{\"Project\":[[1,1],[1,2],[1,3],[2,1],[2,4]],\"Employee\":[[1,\"Khaled\",3],[2,\"Ali\",2],[3,\"John\",1],[4,\"Doe\",2]]}}",
|
||
"__typename": "QuestionNode"
|
||
}
|
||
}
|
||
} |