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leetcode-problemset/leetcode-cn/originData/[no content]calculate-the-influence-of-each-salesperson.json

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{
"data": {
"question": {
"questionId": "2515",
"questionFrontendId": "2372",
"categoryTitle": "Database",
"boundTopicId": 1746115,
"title": "Calculate the Influence of Each Salesperson",
"titleSlug": "calculate-the-influence-of-each-salesperson",
"content": null,
"translatedTitle": "计算每个销售人员的影响力",
"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\": \"1K\", \"totalSubmission\": \"1.3K\", \"totalAcceptedRaw\": 1032, \"totalSubmissionRaw\": 1340, \"acRate\": \"77.0%\"}",
"hints": [],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\":{\"Salesperson\":[\"salesperson_id\",\"name\"],\"Customer\":[\"customer_id\",\"salesperson_id\"],\"Sales\":[\"sale_id\",\"customer_id\",\"price\"]},\"rows\":{\"Salesperson\":[[1,\"Alice\"],[2,\"Bob\"],[3,\"Jerry\"]],\"Customer\":[[1,1],[2,1],[3,2]],\"Sales\":[[1,2,892],[2,1,354],[3,3,988],[4,3,856]]}}",
"metaData": "{\"mysql\":[\"Create table If Not Exists Salesperson (salesperson_id int, name varchar(30))\",\"Create table If Not Exists Customer (customer_id int, salesperson_id int)\",\"Create table If Not Exists Sales (sale_id int, customer_id int, price int)\"],\"mssql\":[\"Create table Salesperson (salesperson_id int, name varchar(30))\",\"Create table Customer (customer_id int, salesperson_id int)\",\"Create table Sales (sale_id int, customer_id int, price int)\"],\"oraclesql\":[\"Create table Salesperson (salesperson_id int, name varchar(30))\",\"Create table Customer (customer_id int, salesperson_id int)\",\"Create table Sales (sale_id int, customer_id int, price int)\"],\"database\":true,\"name\":\"calculate_influence\",\"pythondata\":[\"Salesperson = pd.DataFrame([], columns=['salesperson_id', 'name']).astype({'salesperson_id':'Int64', 'name':'object'})\",\"Customer = pd.DataFrame([], columns=['customer_id', 'salesperson_id']).astype({'customer_id':'Int64', 'salesperson_id':'Int64'})\",\"Sales = pd.DataFrame([], columns=['sale_id', 'customer_id', 'price']).astype({'sale_id':'Int64', 'customer_id':'Int64', 'price':'Int64'})\"],\"postgresql\":[\"Create table If Not Exists Salesperson (salesperson_id int, name varchar(30))\",\"Create table If Not Exists Customer (customer_id int, salesperson_id int)\",\"Create table If Not Exists Sales (sale_id int, customer_id int, price int)\"],\"database_schema\":{\"Salesperson\":{\"salesperson_id\":\"INT\",\"name\":\"VARCHAR(30)\"},\"Customer\":{\"customer_id\":\"INT\",\"salesperson_id\":\"INT\"},\"Sales\":{\"sale_id\":\"INT\",\"customer_id\":\"INT\",\"price\":\"INT\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
"Create table If Not Exists Salesperson (salesperson_id int, name varchar(30))",
"Create table If Not Exists Customer (customer_id int, salesperson_id int)",
"Create table If Not Exists Sales (sale_id int, customer_id int, price int)",
"Truncate table Salesperson",
"insert into Salesperson (salesperson_id, name) values ('1', 'Alice')",
"insert into Salesperson (salesperson_id, name) values ('2', 'Bob')",
"insert into Salesperson (salesperson_id, name) values ('3', 'Jerry')",
"Truncate table Customer",
"insert into Customer (customer_id, salesperson_id) values ('1', '1')",
"insert into Customer (customer_id, salesperson_id) values ('2', '1')",
"insert into Customer (customer_id, salesperson_id) values ('3', '2')",
"Truncate table Sales",
"insert into Sales (sale_id, customer_id, price) values ('1', '2', '892')",
"insert into Sales (sale_id, customer_id, price) values ('2', '1', '354')",
"insert into Sales (sale_id, customer_id, price) values ('3', '3', '988')",
"insert into Sales (sale_id, customer_id, price) values ('4', '3', '856')"
],
"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\":{\"Salesperson\":[\"salesperson_id\",\"name\"],\"Customer\":[\"customer_id\",\"salesperson_id\"],\"Sales\":[\"sale_id\",\"customer_id\",\"price\"]},\"rows\":{\"Salesperson\":[[1,\"Alice\"],[2,\"Bob\"],[3,\"Jerry\"]],\"Customer\":[[1,1],[2,1],[3,2]],\"Sales\":[[1,2,892],[2,1,354],[3,3,988],[4,3,856]]}}",
"__typename": "QuestionNode"
}
}
}