{ "data": { "question": { "questionId": "182", "questionFrontendId": "182", "boundTopicId": null, "title": "Duplicate Emails", "titleSlug": "duplicate-emails", "content": "

Table: Person

\n\n
\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| id          | int     |\n| email       | varchar |\n+-------------+---------+\nid is the primary key (column with unique values) for this table.\nEach row of this table contains an email. The emails will not contain uppercase letters.\n
\n\n

 

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Write a solution to report all the duplicate emails. Note that it's guaranteed that the email field is not NULL.

\n\n

Return the result table in any order.

\n\n

The result format is in the following example.

\n\n

 

\n

Example 1:

\n\n
\nInput: \nPerson table:\n+----+---------+\n| id | email   |\n+----+---------+\n| 1  | a@b.com |\n| 2  | c@d.com |\n| 3  | a@b.com |\n+----+---------+\nOutput: \n+---------+\n| Email   |\n+---------+\n| a@b.com |\n+---------+\nExplanation: a@b.com is repeated two times.\n
\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Easy", "likes": 1980, "dislikes": 65, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "{\"headers\": {\"Person\": [\"id\", \"email\"]}, \"rows\": {\"Person\": [[1, \"a@b.com\"], [2, \"c@d.com\"], [3, \"a@b.com\"]]}}", "categoryTitle": "Database", "contributors": [], "topicTags": [ { "name": "Database", "slug": "database", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "MySQL", "langSlug": "mysql", "code": "# Write your MySQL query statement below\n", "__typename": "CodeSnippetNode" }, { "lang": "MS SQL Server", "langSlug": "mssql", "code": "/* Write your T-SQL query statement below */\n", "__typename": "CodeSnippetNode" }, { "lang": "Oracle", "langSlug": "oraclesql", "code": "/* Write your PL/SQL query statement below */\n", "__typename": "CodeSnippetNode" }, { "lang": "Pandas", "langSlug": "pythondata", "code": "import pandas as pd\n\ndef duplicate_emails(person: pd.DataFrame) -> pd.DataFrame:\n ", "__typename": "CodeSnippetNode" }, { "lang": "PostgreSQL", "langSlug": "postgresql", "code": "-- Write your PostgreSQL query statement below\n", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"598.4K\", \"totalSubmission\": \"846.7K\", \"totalAcceptedRaw\": 598400, \"totalSubmissionRaw\": 846698, \"acRate\": \"70.7%\"}", "hints": [], "solution": { "id": "214", "canSeeDetail": false, "paidOnly": true, "hasVideoSolution": false, "paidOnlyVideo": true, "__typename": "ArticleNode" }, "status": null, "sampleTestCase": "{\"headers\": {\"Person\": [\"id\", \"email\"]}, \"rows\": {\"Person\": [[1, \"a@b.com\"], [2, \"c@d.com\"], [3, \"a@b.com\"]]}}", "metaData": "{\"mysql\": [\"Create table If Not Exists Person (id int, email varchar(255))\"], \"mssql\": [\"Create table Person (id int, email varchar(255))\"], \"oraclesql\": [\"Create table Person (id int, email varchar(255))\"], \"database\": true, \"name\": \"duplicate_emails\", \"pythondata\": [\"Person = pd.DataFrame([], columns=['id', 'email']).astype({'id':'Int64', 'email':'object'})\"], \"postgresql\": [\"Create table If Not Exists Person (id int, email varchar(255))\"], \"database_schema\": {\"Person\": {\"id\": \"INT\", \"email\": \"VARCHAR(255)\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Person (id int, email varchar(255))", "Truncate table Person", "insert into Person (id, email) values ('1', 'a@b.com')", "insert into Person (id, email) values ('2', 'c@d.com')", "insert into Person (id, email) values ('3', 'a@b.com')" ], "enableRunCode": true, "enableTestMode": false, "enableDebugger": false, "envInfo": "{\"mysql\": [\"MySQL\", \"

MySQL 8.0.

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mssql server 2019.

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Oracle Sql 11.2.

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Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0

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PostgreSQL 16

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