leetcode-problemset/leetcode-cn/originData/find-valid-emails.json

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    "data": {
        "question": {
            "questionId": "3782",
            "questionFrontendId": "3436",
            "categoryTitle": "Database",
            "boundTopicId": 3059804,
            "title": "Find Valid Emails",
            "titleSlug": "find-valid-emails",
            "content": "<p>Table: <code>Users</code></p>\n\n<pre>\n+-----------------+---------+\n| Column Name     | Type    |\n+-----------------+---------+\n| user_id         | int     |\n| email           | varchar |\n+-----------------+---------+\n(user_id) is the unique key for this table.\nEach row contains a user&#39;s unique ID and email address.\n</pre>\n\n<p>Write a solution to find all the <strong>valid email addresses</strong>. A valid email address meets the following criteria:</p>\n\n<ul>\n\t<li>It contains exactly one <code>@</code> symbol.</li>\n\t<li>It ends with <code>.com</code>.</li>\n\t<li>The part before the <code>@</code> symbol contains only <strong>alphanumeric</strong> characters and <strong>underscores</strong>.</li>\n\t<li>The part after the <code>@</code> symbol and before <code>.com</code> contains a domain name <strong>that contains only letters</strong>.</li>\n</ul>\n\n<p>Return<em> the result table ordered by</em> <code>user_id</code> <em>in</em> <strong>ascending </strong><em>order</em>.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example:</strong></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong></p>\n\n<p>Users table:</p>\n\n<pre class=\"example-io\">\n+---------+---------------------+\n| user_id | email               |\n+---------+---------------------+\n| 1       | alice@example.com   |\n| 2       | bob_at_example.com  |\n| 3       | charlie@example.net |\n| 4       | david@domain.com    |\n| 5       | eve@invalid         |\n+---------+---------------------+\n</pre>\n\n<p><strong>Output:</strong></p>\n\n<pre class=\"example-io\">\n+---------+-------------------+\n| user_id | email             |\n+---------+-------------------+\n| 1       | alice@example.com |\n| 4       | david@domain.com  |\n+---------+-------------------+\n</pre>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li><strong>alice@example.com</strong> is valid because it contains one <code>@</code>, alice&nbsp;is alphanumeric, and example.com&nbsp;starts with a letter and ends with .com.</li>\n\t<li><strong>bob_at_example.com</strong> is invalid because it contains an underscore instead of an <code>@</code>.</li>\n\t<li><strong>charlie@example.net</strong> is invalid because the domain does not end with <code>.com</code>.</li>\n\t<li><strong>david@domain.com</strong> is valid because it meets all criteria.</li>\n\t<li><strong>eve@invalid</strong> is invalid because the domain does not end with <code>.com</code>.</li>\n</ul>\n\n<p>Result table is ordered by user_id in ascending order.</p>\n</div>\n",
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            "difficulty": "Easy",
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            "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 */",
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                {
                    "lang": "Oracle",
                    "langSlug": "oraclesql",
                    "code": "/* Write your PL/SQL query statement below */",
                    "__typename": "CodeSnippetNode"
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                {
                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef find_valid_emails(users: pd.DataFrame) -> pd.DataFrame:\n    ",
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                },
                {
                    "lang": "PostgreSQL",
                    "langSlug": "postgresql",
                    "code": "-- Write your PostgreSQL query statement below",
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            "sampleTestCase": "{\"headers\":{\"Users\":[\"user_id\",\"email\"]},\"rows\":{\"Users\":[[1,\"alice@example.com\"],[2,\"bob_at_example.com\"],[3,\"charlie@example.net\"],[4,\"david@domain.com\"],[5,\"eve@invalid\"]]}}",
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            "mysqlSchemas": [
                "CREATE TABLE If not Exists Users (\n    user_id INT,\n    email VARCHAR(255)\n)",
                "Truncate table Users",
                "insert into Users (user_id, email) values ('1', 'alice@example.com')",
                "insert into Users (user_id, email) values ('2', 'bob_at_example.com')",
                "insert into Users (user_id, email) values ('3', 'charlie@example.net')",
                "insert into Users (user_id, email) values ('4', 'david@domain.com')",
                "insert into Users (user_id, email) values ('5', 'eve@invalid')"
            ],
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            "exampleTestcases": "{\"headers\":{\"Users\":[\"user_id\",\"email\"]},\"rows\":{\"Users\":[[1,\"alice@example.com\"],[2,\"bob_at_example.com\"],[3,\"charlie@example.net\"],[4,\"david@domain.com\"],[5,\"eve@invalid\"]]}}",
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