Table: Users
\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| user_id | int |\n| name | varchar |\n| mail | varchar |\n+---------------+---------+\nuser_id is the primary key (column with unique values) for this table.\nThis table contains information of the users signed up in a website. Some e-mails are invalid.\n\n\n
\n\n
Write a solution to find the users who have valid emails.
\n\nA valid e-mail has a prefix name and a domain where:
\n\n'_', period '.', and/or dash '-'. The prefix name must start with a letter.'@leetcode.com'.Return the result table in any order.
\n\nThe result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \nUsers table:\n+---------+-----------+-------------------------+\n| user_id | name | mail |\n+---------+-----------+-------------------------+\n| 1 | Winston | winston@leetcode.com |\n| 2 | Jonathan | jonathanisgreat |\n| 3 | Annabelle | bella-@leetcode.com |\n| 4 | Sally | sally.come@leetcode.com |\n| 5 | Marwan | quarz#2020@leetcode.com |\n| 6 | David | david69@gmail.com |\n| 7 | Shapiro | .shapo@leetcode.com |\n+---------+-----------+-------------------------+\nOutput: \n+---------+-----------+-------------------------+\n| user_id | name | mail |\n+---------+-----------+-------------------------+\n| 1 | Winston | winston@leetcode.com |\n| 3 | Annabelle | bella-@leetcode.com |\n| 4 | Sally | sally.come@leetcode.com |\n+---------+-----------+-------------------------+\nExplanation: \nThe mail of user 2 does not have a domain.\nThe mail of user 5 has the # sign which is not allowed.\nThe mail of user 6 does not have the leetcode domain.\nThe mail of user 7 starts with a period.\n\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Easy", "likes": 352, "dislikes": 219, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "{\"headers\":{\"Users\":[\"user_id\",\"name\",\"mail\"]},\"rows\":{\"Users\":[[1,\"Winston\",\"winston@leetcode.com\"],[2,\"Jonathan\",\"jonathanisgreat\"],[3,\"Annabelle\",\"bella-@leetcode.com\"],[4,\"Sally\",\"sally.come@leetcode.com\"],[5,\"Marwan\",\"quarz#2020@leetcode.com\"],[6,\"David\",\"david69@gmail.com\"],[7,\"Shapiro\",\".shapo@leetcode.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 valid_emails(users: pd.DataFrame) -> pd.DataFrame:\n ", "__typename": "CodeSnippetNode" }, { "lang": "PostgreSQL", "langSlug": "postgresql", "code": "-- Write your PostgreSQL query statement below\n", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"66.2K\", \"totalSubmission\": \"140.9K\", \"totalAcceptedRaw\": 66238, \"totalSubmissionRaw\": 140942, \"acRate\": \"47.0%\"}", "hints": [], "solution": { "id": "2011", "canSeeDetail": false, "paidOnly": true, "hasVideoSolution": false, "paidOnlyVideo": true, "__typename": "ArticleNode" }, "status": null, "sampleTestCase": "{\"headers\":{\"Users\":[\"user_id\",\"name\",\"mail\"]},\"rows\":{\"Users\":[[1,\"Winston\",\"winston@leetcode.com\"],[2,\"Jonathan\",\"jonathanisgreat\"],[3,\"Annabelle\",\"bella-@leetcode.com\"],[4,\"Sally\",\"sally.come@leetcode.com\"],[5,\"Marwan\",\"quarz#2020@leetcode.com\"],[6,\"David\",\"david69@gmail.com\"],[7,\"Shapiro\",\".shapo@leetcode.com\"]]}}", "metaData": "{\"mysql\": [\"Create table If Not Exists Users (user_id int, name varchar(30), mail varchar(50))\"], \"mssql\": [\"Create table Users (user_id int, name varchar(30), mail varchar(50))\"], \"oraclesql\": [\"Create table Users (user_id int, name varchar(30), mail varchar(50))\"], \"database\": true, \"name\": \"valid_emails\", \"pythondata\": [\"Users = pd.DataFrame([], columns=['user_id', 'name', 'mail']).astype({'user_id':'int64', 'name':'object', 'mail':'object'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Users (user_id int, name varchar(30), mail varchar(50))\"], \"database_schema\": {\"Users\": {\"user_id\": \"INT\", \"name\": \"VARCHAR(30)\", \"mail\": \"VARCHAR(50)\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Users (user_id int, name varchar(30), mail varchar(50))", "Truncate table Users", "insert into Users (user_id, name, mail) values ('1', 'Winston', 'winston@leetcode.com')", "insert into Users (user_id, name, mail) values ('2', 'Jonathan', 'jonathanisgreat')", "insert into Users (user_id, name, mail) values ('3', 'Annabelle', 'bella-@leetcode.com')", "insert into Users (user_id, name, mail) values ('4', 'Sally', 'sally.come@leetcode.com')", "insert into Users (user_id, name, mail) values ('5', 'Marwan', 'quarz#2020@leetcode.com')", "insert into Users (user_id, name, mail) values ('6', 'David', 'david69@gmail.com')", "insert into Users (user_id, name, mail) values ('7', 'Shapiro', '.shapo@leetcode.com')" ], "enableRunCode": true, "enableTestMode": false, "enableDebugger": false, "envInfo": "{\"mysql\": [\"MySQL\", \"
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Oracle Sql 11.2.
Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0
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