leetcode-problemset/leetcode/originData/[no content]employee-task-duration-and-concurrent-tasks.json

{
    "data": {
        "question": {
            "questionId": "3465",
            "questionFrontendId": "3156",
            "boundTopicId": null,
            "title": "Employee Task Duration and Concurrent Tasks",
            "titleSlug": "employee-task-duration-and-concurrent-tasks",
            "content": null,
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": true,
            "difficulty": "Hard",
            "likes": 3,
            "dislikes": 0,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "{\"headers\":{\"Tasks\":[\"task_id\",\"employee_id\",\"start_time\",\"end_time\"]},\"rows\":{\"Tasks\":[[1,1001,\"2023-05-01 08:00:00\",\"2023-05-01 09:00:00\"],[2,1001,\"2023-05-01 08:30:00\",\"2023-05-01 10:30:00\"],[3,1001,\"2023-05-01 11:00:00\",\"2023-05-01 12:00:00\"],[7,1001,\"2023-05-01 13:00:00\",\"2023-05-01 15:30:00\"],[4,1002,\"2023-05-01 09:00:00\",\"2023-05-01 10:00:00\"],[5,1002,\"2023-05-01 09:30:00\",\"2023-05-01 11:30:00\"],[6,1003,\"2023-05-01 14:00:00\",\"2023-05-01 16:00:00\"]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [
                {
                    "name": "Database",
                    "slug": "database",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                }
            ],
            "companyTagStats": null,
            "codeSnippets": null,
            "stats": "{\"totalAccepted\": \"217\", \"totalSubmission\": \"337\", \"totalAcceptedRaw\": 217, \"totalSubmissionRaw\": 337, \"acRate\": \"64.4%\"}",
            "hints": [],
            "solution": null,
            "status": null,
            "sampleTestCase": "{\"headers\":{\"Tasks\":[\"task_id\",\"employee_id\",\"start_time\",\"end_time\"]},\"rows\":{\"Tasks\":[[1,1001,\"2023-05-01 08:00:00\",\"2023-05-01 09:00:00\"],[2,1001,\"2023-05-01 08:30:00\",\"2023-05-01 10:30:00\"],[3,1001,\"2023-05-01 11:00:00\",\"2023-05-01 12:00:00\"],[7,1001,\"2023-05-01 13:00:00\",\"2023-05-01 15:30:00\"],[4,1002,\"2023-05-01 09:00:00\",\"2023-05-01 10:00:00\"],[5,1002,\"2023-05-01 09:30:00\",\"2023-05-01 11:30:00\"],[6,1003,\"2023-05-01 14:00:00\",\"2023-05-01 16:00:00\"]]}}",
            "metaData": "{\"mysql\": [\"CREATE TABLE  if Not exists Tasks (\\n    task_id INT ,\\n    employee_id INT,\\n    start_time DATETIME,\\n    end_time DATETIME\\n);\"], \"mssql\": [\"CREATE TABLE Tasks (\\n    task_id INT PRIMARY KEY,\\n    employee_id INT,\\n    start_time DATETIME,\\n    end_time DATETIME\\n);\\n\"], \"oraclesql\": [\"CREATE TABLE Tasks (\\n    task_id int ,\\n    employee_id int,\\n    start_time DATE,\\n    end_time DATE\\n)\\n\\n\\n\\n\\n\\n\\n\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD HH24:MI:SS'\"], \"postgresql\": [\"CREATE TABLE IF NOT EXISTS Tasks (\\n    task_id INT,\\n    employee_id INT,\\n    start_time TIMESTAMP,\\n    end_time TIMESTAMP\\n);\\n\"], \"pythondata\": [\"Tasks = pd.DataFrame([], columns=['task_id', 'employee_id', 'start_time', 'end_time']).astype({\\n    'task_id': 'Int64',\\n    'employee_id': 'Int64',\\n    'start_time': 'datetime64[ns]',\\n    'end_time': 'datetime64[ns]'\\n})\"], \"database\": true, \"name\": \"find_total_duration\", \"database_schema\": {\"Tasks\": {\"task_id\": \"INT\", \"employee_id\": \"INT\", \"start_time\": \"DATETIME\", \"end_time\": \"DATETIME\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "CREATE TABLE  if Not exists Tasks (\n    task_id INT ,\n    employee_id INT,\n    start_time DATETIME,\n    end_time DATETIME\n);",
                "Truncate table Tasks",
                "insert into Tasks (task_id, employee_id, start_time, end_time) values ('1', '1001', '2023-05-01 08:00:00', '2023-05-01 09:00:00')",
                "insert into Tasks (task_id, employee_id, start_time, end_time) values ('2', '1001', '2023-05-01 08:30:00', '2023-05-01 10:30:00')",
                "insert into Tasks (task_id, employee_id, start_time, end_time) values ('3', '1001', '2023-05-01 11:00:00', '2023-05-01 12:00:00')",
                "insert into Tasks (task_id, employee_id, start_time, end_time) values ('7', '1001', '2023-05-01 13:00:00', '2023-05-01 15:30:00')",
                "insert into Tasks (task_id, employee_id, start_time, end_time) values ('4', '1002', '2023-05-01 09:00:00', '2023-05-01 10:00:00')",
                "insert into Tasks (task_id, employee_id, start_time, end_time) values ('5', '1002', '2023-05-01 09:30:00', '2023-05-01 11:30:00')",
                "insert into Tasks (task_id, employee_id, start_time, end_time) values ('6', '1003', '2023-05-01 14:00:00', '2023-05-01 16:00:00')"
            ],
            "enableRunCode": true,
            "enableTestMode": false,
            "enableDebugger": false,
            "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>\"]}",
            "libraryUrl": null,
            "adminUrl": null,
            "challengeQuestion": null,
            "__typename": "QuestionNode"
        }
    }
}