{ "data": { "question": { "questionId": "2842", "questionFrontendId": "2688", "boundTopicId": null, "title": "Find Active Users", "titleSlug": "find-active-users", "content": null, "translatedTitle": null, "translatedContent": null, "isPaidOnly": true, "difficulty": "Medium", "likes": 19, "dislikes": 4, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "{\"headers\":{\"Users\":[\"user_id\",\"item\",\"created_at\",\"amount\"]},\"rows\":{\"Users\":[[5,\"Smart Crock Pot\",\"2021-09-18\",698882],[6,\"Smart Lock\",\"2021-09-14\",11487],[6,\"Smart Thermostat\",\"2021-09-10\",674762],[8,\"Smart Light Strip\",\"2021-09-29\",630773],[4,\"Smart Cat Feeder\",\"2021-09-02\",693545],[4,\"Smart Bed\",\"2021-09-13\",170249]]}}", "categoryTitle": "Database", "contributors": [], "topicTags": [ { "name": "Database", "slug": "database", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": null, "stats": "{\"totalAccepted\": \"1.5K\", \"totalSubmission\": \"4K\", \"totalAcceptedRaw\": 1528, \"totalSubmissionRaw\": 4007, \"acRate\": \"38.1%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "{\"headers\":{\"Users\":[\"user_id\",\"item\",\"created_at\",\"amount\"]},\"rows\":{\"Users\":[[5,\"Smart Crock Pot\",\"2021-09-18\",698882],[6,\"Smart Lock\",\"2021-09-14\",11487],[6,\"Smart Thermostat\",\"2021-09-10\",674762],[8,\"Smart Light Strip\",\"2021-09-29\",630773],[4,\"Smart Cat Feeder\",\"2021-09-02\",693545],[4,\"Smart Bed\",\"2021-09-13\",170249]]}}", "metaData": "{\"mysql\": [\"Create table If Not Exists Users (user_id int, item varchar(100),created_at date,amount int)\"], \"mssql\": [\"Create table Users (user_id int, item varchar(100),created_at date,amount int)\"], \"oraclesql\": [\"Create table Users (user_id int, item varchar(100),created_at date,amount int)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"find_active_users\", \"pythondata\": [\"Users = pd.DataFrame([], columns=['user_id', 'item', 'created_at', 'amount']).astype({'user_id':'Int64', 'item':'object', 'created_at':'datetime64[ns]', 'amount':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Users (user_id int, item varchar(100),created_at date,amount int)\"], \"database_schema\": {\"Users\": {\"user_id\": \"INT\", \"item\": \"VARCHAR(100)\", \"created_at\": \"DATE\", \"amount\": \"INT\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Users (user_id int, item varchar(100),created_at date,amount int)", "Truncate table Users", "insert into Users (user_id, item, created_at, amount) values ('5', 'Smart Crock Pot', '2021-09-18', '698882')", "insert into Users (user_id, item, created_at, amount) values ('6', 'Smart Lock', '2021-09-14', '11487')", "insert into Users (user_id, item, created_at, amount) values ('6', 'Smart Thermostat', '2021-09-10', '674762')", "insert into Users (user_id, item, created_at, amount) values ('8', 'Smart Light Strip', '2021-09-29', '630773')", "insert into Users (user_id, item, created_at, amount) values ('4', 'Smart Cat Feeder', '2021-09-02', '693545')", "insert into Users (user_id, item, created_at, amount) values ('4', 'Smart Bed', '2021-09-13', '170249')" ], "enableRunCode": true, "enableTestMode": false, "enableDebugger": false, "envInfo": "{\"mysql\": [\"MySQL\", \"

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mssql server 2019.

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Oracle Sql 11.2.

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Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0

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