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65 lines
5.7 KiB
JSON
65 lines
5.7 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1172",
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"questionFrontendId": "1082",
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"categoryTitle": "Database",
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"boundTopicId": 11027,
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"title": "Sales Analysis I",
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"titleSlug": "sales-analysis-i",
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"content": null,
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"translatedTitle": "销售分析 I ",
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Easy",
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"likes": 58,
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"dislikes": 0,
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"isLiked": null,
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"similarQuestions": "[]",
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"topicTags": [
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{
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"name": "Database",
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"slug": "database",
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"translatedName": "数据库",
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"__typename": "TopicTagNode"
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}
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],
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"companyTagStats": null,
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"codeSnippets": null,
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"stats": "{\"totalAccepted\": \"20.2K\", \"totalSubmission\": \"26.4K\", \"totalAcceptedRaw\": 20219, \"totalSubmissionRaw\": 26392, \"acRate\": \"76.6%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Product\":[\"product_id\",\"product_name\",\"unit_price\"],\"Sales\":[\"seller_id\",\"product_id\",\"buyer_id\",\"sale_date\",\"quantity\",\"price\"]},\"rows\":{\"Product\":[[1,\"S8\",1000],[2,\"G4\",800],[3,\"iPhone\",1400]],\"Sales\":[[1,1,1,\"2019-01-21\",2,2000],[1,2,2,\"2019-02-17\",1,800],[2,2,3,\"2019-06-02\",1,800],[3,3,4,\"2019-05-13\",2,2800]]}}",
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"metaData": "{\"mysql\":[\"Create table If Not Exists Product (product_id int, product_name varchar(10), unit_price int)\",\"Create table If Not Exists Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\"],\"mssql\":[\"Create table Product (product_id int, product_name varchar(10), unit_price int)\",\"Create table Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\"],\"oraclesql\":[\"Create table Product (product_id int, product_name varchar(10), unit_price int)\",\"Create table Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\",\"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"],\"database\":true,\"name\":\"sales_analysis\",\"pythondata\":[\"Product = pd.DataFrame([], columns=['product_id', 'product_name', 'unit_price']).astype({'product_id':'Int64', 'product_name':'object', 'unit_price':'Int64'})\",\"Sales = pd.DataFrame([], columns=['seller_id', 'product_id', 'buyer_id', 'sale_date', 'quantity', 'price']).astype({'seller_id':'Int64', 'product_id':'Int64', 'buyer_id':'Int64', 'sale_date':'datetime64[ns]', 'quantity':'Int64', 'price':'Int64'})\"],\"postgresql\":[\"Create table If Not Exists Product (product_id int, product_name varchar(10), unit_price int)\",\"Create table If Not Exists Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\"],\"database_schema\":{\"Product\":{\"product_id\":\"INT\",\"product_name\":\"VARCHAR(10)\",\"unit_price\":\"INT\"},\"Sales\":{\"seller_id\":\"INT\",\"product_id\":\"INT\",\"buyer_id\":\"INT\",\"sale_date\":\"DATE\",\"quantity\":\"INT\",\"price\":\"INT\"}}}",
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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 Product (product_id int, product_name varchar(10), unit_price int)",
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"Create table If Not Exists Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)",
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"Truncate table Product",
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"insert into Product (product_id, product_name, unit_price) values ('1', 'S8', '1000')",
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"insert into Product (product_id, product_name, unit_price) values ('2', 'G4', '800')",
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"insert into Product (product_id, product_name, unit_price) values ('3', 'iPhone', '1400')",
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"Truncate table Sales",
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"insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('1', '1', '1', '2019-01-21', '2', '2000')",
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"insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('1', '2', '2', '2019-02-17', '1', '800')",
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"insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('2', '2', '3', '2019-06-02', '1', '800')",
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"insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('3', '3', '4', '2019-05-13', '2', '2800')"
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],
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"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>\"]}",
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"book": null,
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"editorType": "CKEDITOR",
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"ugcQuestionId": null,
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"style": "LEETCODE",
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"exampleTestcases": "{\"headers\":{\"Product\":[\"product_id\",\"product_name\",\"unit_price\"],\"Sales\":[\"seller_id\",\"product_id\",\"buyer_id\",\"sale_date\",\"quantity\",\"price\"]},\"rows\":{\"Product\":[[1,\"S8\",1000],[2,\"G4\",800],[3,\"iPhone\",1400]],\"Sales\":[[1,1,1,\"2019-01-21\",2,2000],[1,2,2,\"2019-02-17\",1,800],[2,2,3,\"2019-06-02\",1,800],[3,3,4,\"2019-05-13\",2,2800]]}}",
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"__typename": "QuestionNode"
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}
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}
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} |