leetcode-problemset/leetcode/originData/delete-duplicate-emails.json

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            "title": "Delete Duplicate Emails",
            "titleSlug": "delete-duplicate-emails",
            "content": "<p>Table: <code>Person</code></p>\n\n<pre>\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</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to<strong> delete</strong> all duplicate emails, keeping only one unique email with the smallest <code>id</code>.</p>\n\n<p>For SQL users, please note that you are supposed to write a <code>DELETE</code> statement and not a <code>SELECT</code> one.</p>\n\n<p>For Pandas users, please note that you are supposed to modify <code>Person</code> in place.</p>\n\n<p>After running your script, the answer shown is the <code>Person</code> table. The driver will first compile and run your piece of code and then show the <code>Person</code> table. The final order of the <code>Person</code> table <strong>does not matter</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nPerson table:\n+----+------------------+\n| id | email            |\n+----+------------------+\n| 1  | john@example.com |\n| 2  | bob@example.com  |\n| 3  | john@example.com |\n+----+------------------+\n<strong>Output:</strong> \n+----+------------------+\n| id | email            |\n+----+------------------+\n| 1  | john@example.com |\n| 2  | bob@example.com  |\n+----+------------------+\n<strong>Explanation:</strong> john@example.com is repeated two times. We keep the row with the smallest Id = 1.\n</pre>\n",
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            "difficulty": "Easy",
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            "exampleTestcases": "{\"headers\": {\"Person\": [\"id\", \"email\"]}, \"rows\": {\"Person\": [[1, \"john@example.com\"], [2, \"bob@example.com\"], [3, \"john@example.com\"]]}}",
            "categoryTitle": "Database",
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                    "name": "Database",
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                    "lang": "MySQL",
                    "langSlug": "mysql",
                    "code": "# Write your MySQL query statement below\n",
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                {
                    "lang": "MS SQL Server",
                    "langSlug": "mssql",
                    "code": "/* Write your T-SQL query statement below */\n",
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                },
                {
                    "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 delete_duplicate_emails(person: pd.DataFrame) -> None:\n    ",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "PostgreSQL",
                    "langSlug": "postgresql",
                    "code": "-- Write your PostgreSQL query statement below\n",
                    "__typename": "CodeSnippetNode"
                }
            ],
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            "status": null,
            "sampleTestCase": "{\"headers\": {\"Person\": [\"id\", \"email\"]}, \"rows\": {\"Person\": [[1, \"john@example.com\"], [2, \"bob@example.com\"], [3, \"john@example.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, \"manual\": true, \"name\": \"delete_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))\\n\"], \"database_schema\": {\"Person\": {\"Id\": \"INT\", \"Email\": \"VARCHAR(255)\"}}}",
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            "mysqlSchemas": [
                "Create table If Not Exists Person (Id int, Email varchar(255))",
                "Truncate table Person",
                "insert into Person (id, email) values ('1', 'john@example.com')",
                "insert into Person (id, email) values ('2', 'bob@example.com')",
                "insert into Person (id, email) values ('3', 'john@example.com')"
            ],
            "enableRunCode": true,
            "enableTestMode": false,
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            "envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
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