{ "data": { "question": { "questionId": "3357", "questionFrontendId": "3057", "boundTopicId": null, "title": "Employees Project Allocation", "titleSlug": "employees-project-allocation", "content": null, "translatedTitle": null, "translatedContent": null, "isPaidOnly": true, "difficulty": "Hard", "likes": 2, "dislikes": 1, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "{\"headers\":{\"Project\":[\"project_id\",\"employee_id\",\"workload\"],\"Employees\":[\"employee_id\",\"name\",\"team\"]},\"rows\":{\"Project\":[[1,1,45],[1,2,90],[2,3,12],[2,4,68]],\"Employees\":[[1,\"Khaled\",\"A\"],[2,\"Ali\",\"B\"],[3,\"John\",\"B\"],[4,\"Doe\",\"A\"]]}}", "categoryTitle": "Database", "contributors": [], "topicTags": [], "companyTagStats": null, "codeSnippets": null, "stats": "{\"totalAccepted\": \"131\", \"totalSubmission\": \"165\", \"totalAcceptedRaw\": 131, \"totalSubmissionRaw\": 165, \"acRate\": \"79.4%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "{\"headers\":{\"Project\":[\"project_id\",\"employee_id\",\"workload\"],\"Employees\":[\"employee_id\",\"name\",\"team\"]},\"rows\":{\"Project\":[[1,1,45],[1,2,90],[2,3,12],[2,4,68]],\"Employees\":[[1,\"Khaled\",\"A\"],[2,\"Ali\",\"B\"],[3,\"John\",\"B\"],[4,\"Doe\",\"A\"]]}}", "metaData": "{\"mysql\": [\"Create table If Not Exists Project (project_id int, employee_id int, workload int)\", \"Create table If Not Exists Employees (employee_id int, name varchar(20), team varchar(20))\"], \"mssql\": [\"Create table Project (project_id int, employee_id int, workload int)\", \"Create table Employees (employee_id int, name varchar(20), team varchar(20))\"], \"oraclesql\": [\"Create table Project (project_id int, employee_id int, workload int)\", \"Create table Employees (employee_id int, name varchar(20), team varchar(20))\"], \"database\": true, \"name\": \"employees_with_above_avg_workload\", \"pythondata\": [\"Project = pd.DataFrame([], columns=['project_id', 'employee_id', 'workload']).astype({'project_id':'Int64', 'employee_id':'Int64', 'workload':'Int64'})\\n\", \"Employees = pd.DataFrame([], columns=['employee_id', 'name', 'team']).astype({'employee_id':'Int64', 'name':'object', 'team':'object'})\"], \"postgresql\": [\"CREATE TABLE Project (\\n project_id int,\\n employee_id int,\\n workload int\\n);\", \"CREATE TABLE Employees (\\n employee_id int,\\n name varchar(20),\\n team varchar(20)\\n);\"], \"database_schema\": {\"Project\": {\"project_id\": \"INT\", \"employee_id\": \"INT\", \"workload\": \"INT\"}, \"Employees\": {\"employee_id\": \"INT\", \"name\": \"VARCHAR(20)\", \"team\": \"VARCHAR(20)\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Project (project_id int, employee_id int, workload int)", "Create table If Not Exists Employees (employee_id int, name varchar(20), team varchar(20))", "Truncate table Project", "insert into Project (project_id, employee_id, workload) values ('1', '1', '45')", "insert into Project (project_id, employee_id, workload) values ('1', '2', '90')", "insert into Project (project_id, employee_id, workload) values ('2', '3', '12')", "insert into Project (project_id, employee_id, workload) values ('2', '4', '68')", "Truncate table Employees", "insert into Employees (employee_id, name, team) values ('1', 'Khaled', 'A')", "insert into Employees (employee_id, name, team) values ('2', 'Ali', 'B')", "insert into Employees (employee_id, name, team) values ('3', 'John', 'B')", "insert into Employees (employee_id, name, team) values ('4', 'Doe', 'A')" ], "enableRunCode": true, "enableTestMode": false, "enableDebugger": false, "envInfo": "{\"mysql\": [\"MySQL\", \"

MySQL 8.0.

\"], \"mssql\": [\"MS SQL Server\", \"

mssql server 2019.

\"], \"oraclesql\": [\"Oracle\", \"

Oracle Sql 11.2.

\"], \"pythondata\": [\"Pandas\", \"

Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0

\"], \"postgresql\": [\"PostgreSQL\", \"

PostgreSQL 16

\"]}", "libraryUrl": null, "adminUrl": null, "challengeQuestion": null, "__typename": "QuestionNode" } } }