{ "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\",\"

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