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leetcode-problemset/leetcode/originData/project-employees-i.json

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{
"data": {
"question": {
"questionId": "1161",
"questionFrontendId": "1075",
"boundTopicId": null,
"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>&nbsp;</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&#39;s guaranteed that experience_years is not NULL.\nEach row of this table contains information about one employee.\n</pre>\n\n<p>&nbsp;</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>&nbsp;</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",
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"difficulty": "Easy",
"likes": 444,
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"similarQuestions": "[{\"title\": \"Project Employees II\", \"titleSlug\": \"project-employees-ii\", \"difficulty\": \"Easy\", \"translatedTitle\": null}]",
"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]]}}",
"categoryTitle": "Database",
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{
"lang": "MySQL",
"langSlug": "mysql",
"code": "# Write your MySQL query statement below\n",
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{
"lang": "MS SQL Server",
"langSlug": "mssql",
"code": "/* Write your T-SQL query statement below */\n",
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{
"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 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\n",
"__typename": "CodeSnippetNode"
}
],
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"stats": "{\"totalAccepted\": \"132.3K\", \"totalSubmission\": \"204.5K\", \"totalAcceptedRaw\": 132278, \"totalSubmissionRaw\": 204508, \"acRate\": \"64.7%\"}",
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"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,
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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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}