{ "data": { "question": { "questionId": "584", "questionFrontendId": "584", "categoryTitle": "Database", "boundTopicId": 2644, "title": "Find Customer Referee", "titleSlug": "find-customer-referee", "content": "
Table: Customer
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| name | varchar |\n| referee_id | int |\n+-------------+---------+\nIn SQL, id is the primary key column for this table.\nEach row of this table indicates the id of a customer, their name, and the id of the customer who referred them.\n\n\n
\n\n
Find the names of the customer that are not referred by the customer with id = 2
.
Return the result table in any order.
\n\nThe result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \nCustomer table:\n+----+------+------------+\n| id | name | referee_id |\n+----+------+------------+\n| 1 | Will | null |\n| 2 | Jane | null |\n| 3 | Alex | 2 |\n| 4 | Bill | null |\n| 5 | Zack | 1 |\n| 6 | Mark | 2 |\n+----+------+------------+\nOutput: \n+------+\n| name |\n+------+\n| Will |\n| Jane |\n| Bill |\n| Zack |\n+------+\n\n", "translatedTitle": "寻找用户推荐人", "translatedContent": "
表: Customer
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| name | varchar |\n| referee_id | int |\n+-------------+---------+\n在 SQL 中,id 是该表的主键列。\n该表的每一行表示一个客户的 id、姓名以及推荐他们的客户的 id。\n\n
找出那些 没有被 id = 2
的客户 推荐 的客户的姓名。
以 任意顺序 返回结果表。
\n\n结果格式如下所示。
\n\n\n\n
示例 1:
\n\n\n输入: \nCustomer 表:\n+----+------+------------+\n| id | name | referee_id |\n+----+------+------------+\n| 1 | Will | null |\n| 2 | Jane | null |\n| 3 | Alex | 2 |\n| 4 | Bill | null |\n| 5 | Zack | 1 |\n| 6 | Mark | 2 |\n+----+------+------------+\n输出:\n+------+\n| name |\n+------+\n| Will |\n| Jane |\n| Bill |\n| Zack |\n+------+\n", "isPaidOnly": false, "difficulty": "Easy", "likes": 238, "dislikes": 0, "isLiked": null, "similarQuestions": "[]", "contributors": [], "langToValidPlayground": "{\"cpp\": false, \"java\": false, \"python\": false, \"python3\": false, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"typescript\": false, \"bash\": false, \"php\": false, \"swift\": false, \"kotlin\": false, \"dart\": false, \"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false}", "topicTags": [ { "name": "Database", "slug": "database", "translatedName": "数据库", "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "MySQL", "langSlug": "mysql", "code": "# Write your MySQL query statement below", "__typename": "CodeSnippetNode" }, { "lang": "MS SQL Server", "langSlug": "mssql", "code": "/* Write your T-SQL query statement below */", "__typename": "CodeSnippetNode" }, { "lang": "Oracle", "langSlug": "oraclesql", "code": "/* Write your PL/SQL query statement below */", "__typename": "CodeSnippetNode" }, { "lang": "Pandas", "langSlug": "pythondata", "code": "import pandas as pd\n\ndef find_customer_referee(customer: pd.DataFrame) -> pd.DataFrame:\n ", "__typename": "CodeSnippetNode" }, { "lang": "PostgreSQL", "langSlug": "postgresql", "code": "-- Write your PostgreSQL query statement below", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"185.5K\", \"totalSubmission\": \"281.9K\", \"totalAcceptedRaw\": 185535, \"totalSubmissionRaw\": 281922, \"acRate\": \"65.8%\"}", "hints": [ "Be careful of the NULL value" ], "solution": null, "status": null, "sampleTestCase": "{\"headers\":{\"Customer\":[\"id\",\"name\",\"referee_id\"]},\"rows\":{\"Customer\":[[1,\"Will\",null],[2,\"Jane\",null],[3,\"Alex\",2],[4,\"Bill\",null],[5,\"Zack\",1],[6,\"Mark\",2]]}}", "metaData": "{\"mysql\":[\"Create table If Not Exists Customer (id int, name varchar(25), referee_id int)\"],\"mssql\":[\"Create table Customer (id int, name varchar(25), referee_id int)\"],\"oraclesql\":[\"Create table Customer (id int, name varchar(25), referee_id int)\"],\"database\":true,\"name\":\"find_customer_referee\",\"pythondata\":[\"Customer = pd.DataFrame([], columns=['id', 'name', 'referee_id']).astype({'id':'Int64', 'name':'object', 'referee_id':'Int64'})\"],\"postgresql\":[\"Create table If Not Exists Customer (id int, name varchar(25), referee_id int)\"],\"database_schema\":{\"Customer\":{\"id\":\"INT\",\"name\":\"VARCHAR(25)\",\"referee_id\":\"INT\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Customer (id int, name varchar(25), referee_id int)", "Truncate table Customer", "insert into Customer (id, name, referee_id) values ('1', 'Will', 'None')", "insert into Customer (id, name, referee_id) values ('2', 'Jane', 'None')", "insert into Customer (id, name, referee_id) values ('3', 'Alex', '2')", "insert into Customer (id, name, referee_id) values ('4', 'Bill', 'None')", "insert into Customer (id, name, referee_id) values ('5', 'Zack', '1')", "insert into Customer (id, name, referee_id) values ('6', 'Mark', '2')" ], "enableRunCode": true, "envInfo": "{\"mysql\":[\"MySQL\",\"
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"exampleTestcases": "{\"headers\":{\"Customer\":[\"id\",\"name\",\"referee_id\"]},\"rows\":{\"Customer\":[[1,\"Will\",null],[2,\"Jane\",null],[3,\"Alex\",2],[4,\"Bill\",null],[5,\"Zack\",1],[6,\"Mark\",2]]}}",
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}MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"