{ "data": { "question": { "questionId": "3473", "questionFrontendId": "3166", "categoryTitle": "Database", "boundTopicId": 2791590, "title": "Calculate Parking Fees and Duration", "titleSlug": "calculate-parking-fees-and-duration", "content": null, "translatedTitle": "计算停车费与时长", "translatedContent": null, "isPaidOnly": true, "difficulty": "Medium", "likes": 0, "dislikes": 0, "isLiked": null, "similarQuestions": "[]", "contributors": [], "langToValidPlayground": null, "topicTags": [ { "name": "Database", "slug": "database", "translatedName": "数据库", "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": null, "stats": "{\"totalAccepted\": \"45\", \"totalSubmission\": \"69\", \"totalAcceptedRaw\": 45, \"totalSubmissionRaw\": 69, \"acRate\": \"65.2%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "{\"headers\":{\"ParkingTransactions\":[\"lot_id\",\"car_id\",\"entry_time\",\"exit_time\",\"fee_paid\"]},\"rows\":{\"ParkingTransactions\":[[1,1001,\"2023-06-01 08:00:00\",\"2023-06-01 10:30:00\",5.00],[1,1001,\"2023-06-02 11:00:00\",\"2023-06-02 12:45:00\",3.00],[2,1001,\"2023-06-01 10:45:00\",\"2023-06-01 12:00:00\",6.00],[2,1002,\"2023-06-01 09:00:00\",\"2023-06-01 11:30:00\",4.00],[3,1001,\"2023-06-03 07:00:00\",\"2023-06-03 09:00:00\",4.00],[3,1002,\"2023-06-02 12:00:00\",\"2023-06-02 14:00:00\",2.00]]}}", "metaData": "{\"mysql\":[\"CREATE TABLE If not exists ParkingTransactions (\\n lot_id INT,\\n car_id INT,\\n entry_time DATETIME,\\n exit_time DATETIME,\\n fee_paid DECIMAL(10, 2)\\n)\\n\"],\"mssql\":[\"CREATE TABLE ParkingTransactions (\\n lot_id INT,\\n car_id INT,\\n entry_time DATETIME,\\n exit_time DATETIME,\\n fee_paid DECIMAL(10, 2)\\n);\\n\"],\"oraclesql\":[\"CREATE TABLE ParkingTransactions (\\n lot_id NUMBER,\\n car_id NUMBER,\\n entry_time DATE,\\n exit_time DATE,\\n fee_paid NUMBER(10, 2)\\n)\\n\",\"ALTER SESSION SET nls_date_format='YYYY-MM-DD HH24:MI:SS'\"],\"database\":true,\"name\":\"calculate_fees_and_duration\",\"postgresql\":[\"CREATE TABLE IF NOT EXISTS ParkingTransactions (\\n lot_id INTEGER,\\n car_id INTEGER,\\n entry_time TIMESTAMP,\\n exit_time TIMESTAMP,\\n fee_paid NUMERIC(10, 2)\\n);\"],\"pythondata\":[\"ParkingTransactions = pd.DataFrame([], columns=['lot_id', 'car_id', 'entry_time', 'exit_time', 'fee_paid']).astype({\\n 'lot_id': 'Int64',\\n 'car_id': 'Int64',\\n 'entry_time': 'datetime64[ns]',\\n 'exit_time': 'datetime64[ns]',\\n 'fee_paid': 'float64'\\n})\"],\"database_schema\":{\"ParkingTransactions\":{\"lot_id\":\"INT\",\"car_id\":\"INT\",\"entry_time\":\"DATETIME\",\"exit_time\":\"DATETIME\",\"fee_paid\":\"DECIMAL(10, 2)\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "CREATE TABLE If not exists ParkingTransactions (\n lot_id INT,\n car_id INT,\n entry_time DATETIME,\n exit_time DATETIME,\n fee_paid DECIMAL(10, 2)\n)\n", "Truncate table ParkingTransactions", "insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('1', '1001', '2023-06-01 08:00:00', '2023-06-01 10:30:00', '5.0')", "insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('1', '1001', '2023-06-02 11:00:00', '2023-06-02 12:45:00', '3.0')", "insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('2', '1001', '2023-06-01 10:45:00', '2023-06-01 12:00:00', '6.0')", "insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('2', '1002', '2023-06-01 09:00:00', '2023-06-01 11:30:00', '4.0')", "insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('3', '1001', '2023-06-03 07:00:00', '2023-06-03 09:00:00', '4.0')", "insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('3', '1002', '2023-06-02 12:00:00', '2023-06-02 14:00:00', '2.0')" ], "enableRunCode": true, "envInfo": "{\"mysql\":[\"MySQL\",\"

\\u7248\\u672c\\uff1aMySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"

mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"

Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\"

Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"

PostgreSQL 16<\\/p>\"]}", "book": null, "isSubscribed": false, "isDailyQuestion": false, "dailyRecordStatus": null, "editorType": "CKEDITOR", "ugcQuestionId": null, "style": "LEETCODE", "exampleTestcases": "{\"headers\":{\"ParkingTransactions\":[\"lot_id\",\"car_id\",\"entry_time\",\"exit_time\",\"fee_paid\"]},\"rows\":{\"ParkingTransactions\":[[1,1001,\"2023-06-01 08:00:00\",\"2023-06-01 10:30:00\",5.00],[1,1001,\"2023-06-02 11:00:00\",\"2023-06-02 12:45:00\",3.00],[2,1001,\"2023-06-01 10:45:00\",\"2023-06-01 12:00:00\",6.00],[2,1002,\"2023-06-01 09:00:00\",\"2023-06-01 11:30:00\",4.00],[3,1001,\"2023-06-03 07:00:00\",\"2023-06-03 09:00:00\",4.00],[3,1002,\"2023-06-02 12:00:00\",\"2023-06-02 14:00:00\",2.00]]}}", "__typename": "QuestionNode" } } }