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https://gitee.com/coder-xiaomo/leetcode-problemset
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59 lines
6.0 KiB
JSON
59 lines
6.0 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "3340",
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"questionFrontendId": "3056",
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"boundTopicId": null,
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"title": "Snaps Analysis",
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"titleSlug": "snaps-analysis",
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"content": null,
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"translatedTitle": null,
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Medium",
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"likes": 0,
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"dislikes": 1,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"Activities\":[\"activity_id\",\"user_id\",\"activity_type\",\"time_spent\"],\"Age\":[\"user_id\",\"age_bucket\"]},\"rows\":{\"Activities\":[[7274,123,\"open\",4.50],[2425,123,\"send\",3.50],[1413,456,\"send\",5.67],[2536,456,\"open\",3.00],[8564,456,\"send\",8.24],[5235,789,\"send\",6.24],[4251,123,\"open\",1.25],[1435,789,\"open\",5.25]],\"Age\":[[123,\"31-35\"],[789,\"21-25\"],[456,\"26-30\"]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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"topicTags": [],
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"companyTagStats": null,
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"codeSnippets": null,
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"stats": "{\"totalAccepted\": \"157\", \"totalSubmission\": \"228\", \"totalAcceptedRaw\": 157, \"totalSubmissionRaw\": 228, \"acRate\": \"68.9%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Activities\":[\"activity_id\",\"user_id\",\"activity_type\",\"time_spent\"],\"Age\":[\"user_id\",\"age_bucket\"]},\"rows\":{\"Activities\":[[7274,123,\"open\",4.50],[2425,123,\"send\",3.50],[1413,456,\"send\",5.67],[2536,456,\"open\",3.00],[8564,456,\"send\",8.24],[5235,789,\"send\",6.24],[4251,123,\"open\",1.25],[1435,789,\"open\",5.25]],\"Age\":[[123,\"31-35\"],[789,\"21-25\"],[456,\"26-30\"]]}}",
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"metaData": "{\"mysql\": [\"Create table if Not Exists Activities(activity_id int, user_id int, activity_type ENUM('send', 'open'), time_spent decimal(5,2))\", \"Create table if not Exists Age( user_id int, age_bucket ENUM('21-25','26-30','31-35'))\"], \"mssql\": [\"Create table Activities (activity_id int, user_id int, activity_type varchar(30) NOT NULL CHECK (activity_type IN ('send','open')), time_spent decimal(5,2))\", \"Create table Age( user_id int, age_bucket varchar(30) NOT NULL CHECK ( age_bucket IN ('21-25','26-30','31-35')))\"], \"oraclesql\": [\"Create table Activities (activity_id int, user_id int, activity_type varchar(30) NOT NULL CHECK (activity_type IN ('send','open')), time_spent decimal(5,2))\", \"Create table Age( user_id int, age_bucket varchar(30) NOT NULL CHECK ( age_bucket IN ('21-25','26-30','31-35')))\"], \"database\": true, \"name\": \"snap_analysis\", \"pythondata\": [\"Activities = pd.DataFrame([], columns=['activity_id', 'user_id', 'activity_type', 'time_spent']).astype({'activity_id':'Int64', 'user_id':'Int64', 'activity_type':'object', 'time_spent':'Float64'})\\n\", \"Age = pd.DataFrame([], columns=['user_id', 'age_bucket']).astype({'user_id':'Int64', 'age_bucket':'object'})\\n\"], \"postgresql\": [\"CREATE TABLE Activities (\\n activity_id SERIAL PRIMARY KEY,\\n user_id INT,\\n activity_type VARCHAR(30) NOT NULL CHECK (activity_type IN ('send', 'open')),\\n time_spent DECIMAL(5,2)\\n);\", \"CREATE TABLE Age (\\n user_id INT,\\n age_bucket VARCHAR(30) NOT NULL CHECK (age_bucket IN ('21-25', '26-30', '31-35'))\\n);\"], \"database_schema\": {\"Activities\": {\"activity_id\": \"INT\", \"user_id\": \"INT\", \"activity_type\": \"ENUM('send', 'open')\", \"time_spent\": \"DECIMAL(5, 2)\"}, \"Age\": {\"user_id\": \"INT\", \"age_bucket\": \"ENUM('21-25', '26-30', '31-35')\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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"Create table if Not Exists Activities(activity_id int, user_id int, activity_type ENUM('send', 'open'), time_spent decimal(5,2))",
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"Create table if not Exists Age( user_id int, age_bucket ENUM('21-25','26-30','31-35'))",
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"Truncate table Activities",
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"insert into Activities (activity_id, user_id, activity_type, time_spent) values ('7274', '123', 'open', '4.5')",
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"insert into Activities (activity_id, user_id, activity_type, time_spent) values ('2425', '123', 'send', '3.5')",
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"insert into Activities (activity_id, user_id, activity_type, time_spent) values ('1413', '456', 'send', '5.67')",
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"insert into Activities (activity_id, user_id, activity_type, time_spent) values ('2536', '456', 'open', '3.0')",
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"insert into Activities (activity_id, user_id, activity_type, time_spent) values ('8564', '456', 'send', '8.24')",
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"insert into Activities (activity_id, user_id, activity_type, time_spent) values ('5235', '789', 'send', '6.24')",
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"insert into Activities (activity_id, user_id, activity_type, time_spent) values ('4251', '123', 'open', '1.25')",
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"insert into Activities (activity_id, user_id, activity_type, time_spent) values ('1435', '789', 'open', '5.25')",
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"Truncate table Age",
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"insert into Age (user_id, age_bucket) values ('123', '31-35')",
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"insert into Age (user_id, age_bucket) values ('789', '21-25')",
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"insert into Age (user_id, age_bucket) values ('456', '26-30')"
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],
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": false,
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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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"libraryUrl": null,
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"adminUrl": null,
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"challengeQuestion": null,
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"__typename": "QuestionNode"
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}
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}
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} |