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leetcode-problemset/leetcode-cn/originData/[no content]market-analysis-ii.json

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{
"data": {
"question": {
"questionId": "1269",
"questionFrontendId": "1159",
"categoryTitle": "Database",
"boundTopicId": 33143,
"title": "Market Analysis II",
"titleSlug": "market-analysis-ii",
"content": null,
"translatedTitle": "市场分析 II",
"translatedContent": null,
"isPaidOnly": true,
"difficulty": "Hard",
"likes": 31,
"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\": \"7.7K\", \"totalSubmission\": \"15.3K\", \"totalAcceptedRaw\": 7746, \"totalSubmissionRaw\": 15295, \"acRate\": \"50.6%\"}",
"hints": [],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\":{\"Users\":[\"user_id\",\"join_date\",\"favorite_brand\"],\"Orders\":[\"order_id\",\"order_date\",\"item_id\",\"buyer_id\",\"seller_id\"],\"Items\":[\"item_id\",\"item_brand\"]},\"rows\":{\"Users\":[[1,\"2019-01-01\",\"Lenovo\"],[2,\"2019-02-09\",\"Samsung\"],[3,\"2019-01-19\",\"LG\"],[4,\"2019-05-21\",\"HP\"]],\"Orders\":[[1,\"2019-08-01\",4,1,2],[2,\"2019-08-02\",2,1,3],[3,\"2019-08-03\",3,2,3],[4,\"2019-08-04\",1,4,2],[5,\"2019-08-04\",1,3,4],[6,\"2019-08-05\",2,2,4]],\"Items\":[[1,\"Samsung\"],[2,\"Lenovo\"],[3,\"LG\"],[4,\"HP\"]]}}",
"metaData": "{\"mysql\":[\"Create table If Not Exists Users (user_id int, join_date date, favorite_brand varchar(10))\",\"Create table If Not Exists Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\",\"Create table If Not Exists Items (item_id int, item_brand varchar(10))\"],\"mssql\":[\"Create table Users (user_id int, join_date date, favorite_brand varchar(10))\",\"Create table Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\",\"Create table Items (item_id int, item_brand varchar(10))\"],\"oraclesql\":[\"Create table Users (user_id int, join_date date, favorite_brand varchar(10))\",\"Create table Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\",\"Create table Items (item_id int, item_brand varchar(10))\",\"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"],\"database\":true,\"name\":\"market_analysis\",\"pythondata\":[\"Users = pd.DataFrame([], columns=['user_id', 'join_date', 'favorite_brand']).astype({'user_id':'Int64', 'join_date':'datetime64[ns]', 'favorite_brand':'object'})\\n\",\"Orders = pd.DataFrame([], columns=['order_id', 'order_date', 'item_id', 'buyer_id', 'seller_id']).astype({'order_id':'Int64', 'order_date':'datetime64[ns]', 'item_id':'Int64', 'buyer_id':'Int64', 'seller_id':'Int64'})\",\"Items = pd.DataFrame([], columns=['item_id', 'item_brand']).astype({'item_id':'Int64', 'item_brand':'object'})\"],\"postgresql\":[\"\\nCreate table If Not Exists Users (user_id int, join_date date, favorite_brand varchar(10))\\n\",\"Create table If Not Exists Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\",\"Create table If Not Exists Items (item_id int, item_brand varchar(10))\"],\"database_schema\":{\"Users\":{\"user_id\":\"INT\",\"join_date\":\"DATE\",\"favorite_brand\":\"VARCHAR(10)\"},\"Orders\":{\"order_id\":\"INT\",\"order_date\":\"DATE\",\"item_id\":\"INT\",\"buyer_id\":\"INT\",\"seller_id\":\"INT\"},\"Items\":{\"item_id\":\"INT\",\"item_brand\":\"VARCHAR(10)\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
"Create table If Not Exists Users (user_id int, join_date date, favorite_brand varchar(10))",
"Create table If Not Exists Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)",
"Create table If Not Exists Items (item_id int, item_brand varchar(10))",
"Truncate table Users",
"insert into Users (user_id, join_date, favorite_brand) values ('1', '2019-01-01', 'Lenovo')",
"insert into Users (user_id, join_date, favorite_brand) values ('2', '2019-02-09', 'Samsung')",
"insert into Users (user_id, join_date, favorite_brand) values ('3', '2019-01-19', 'LG')",
"insert into Users (user_id, join_date, favorite_brand) values ('4', '2019-05-21', 'HP')",
"Truncate table Orders",
"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('1', '2019-08-01', '4', '1', '2')",
"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('2', '2019-08-02', '2', '1', '3')",
"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('3', '2019-08-03', '3', '2', '3')",
"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('4', '2019-08-04', '1', '4', '2')",
"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('5', '2019-08-04', '1', '3', '4')",
"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('6', '2019-08-05', '2', '2', '4')",
"Truncate table Items",
"insert into Items (item_id, item_brand) values ('1', 'Samsung')",
"insert into Items (item_id, item_brand) values ('2', 'Lenovo')",
"insert into Items (item_id, item_brand) values ('3', 'LG')",
"insert into Items (item_id, item_brand) values ('4', 'HP')"
],
"enableRunCode": true,
"envInfo": "{\"mysql\":[\"MySQL\",\"<p>\\u7248\\u672c\\uff1a<code>MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"<p>mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"<p>Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
"book": null,
"isSubscribed": false,
"isDailyQuestion": false,
"dailyRecordStatus": null,
"editorType": "CKEDITOR",
"ugcQuestionId": null,
"style": "LEETCODE",
"exampleTestcases": "{\"headers\":{\"Users\":[\"user_id\",\"join_date\",\"favorite_brand\"],\"Orders\":[\"order_id\",\"order_date\",\"item_id\",\"buyer_id\",\"seller_id\"],\"Items\":[\"item_id\",\"item_brand\"]},\"rows\":{\"Users\":[[1,\"2019-01-01\",\"Lenovo\"],[2,\"2019-02-09\",\"Samsung\"],[3,\"2019-01-19\",\"LG\"],[4,\"2019-05-21\",\"HP\"]],\"Orders\":[[1,\"2019-08-01\",4,1,2],[2,\"2019-08-02\",2,1,3],[3,\"2019-08-03\",3,2,3],[4,\"2019-08-04\",1,4,2],[5,\"2019-08-04\",1,3,4],[6,\"2019-08-05\",2,2,4]],\"Items\":[[1,\"Samsung\"],[2,\"Lenovo\"],[3,\"LG\"],[4,\"HP\"]]}}",
"__typename": "QuestionNode"
}
}
}