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存量题库数据更新
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@@ -7,17 +7,17 @@
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"boundTopicId": 1235,
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"title": "Delete Duplicate Emails",
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"titleSlug": "delete-duplicate-emails",
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"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 for this table.\nEach row of this table contains an email. The emails will not contain uppercase letters.\n</pre>\n\n<p> </p>\n\n<p>Write an SQL query to <strong>delete</strong> all the duplicate emails, keeping only one unique email with the smallest <code>id</code>. Note that you are supposed to write a <code>DELETE</code> statement and not a <code>SELECT</code> one.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The query result format is in the following example.</p>\n\n<p> </p>\n<p><strong>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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"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> </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> </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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"translatedTitle": "删除重复的电子邮箱",
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"translatedContent": "<p>表: <code>Person</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| email | varchar |\n+-------------+---------+\nid是该表的主键列。\n该表的每一行包含一封电子邮件。电子邮件将不包含大写字母。\n</pre>\n\n<p> </p>\n\n<p>编写一个 SQL <strong>删除语句</strong>来 <strong>删除</strong> 所有重复的电子邮件，只保留一个id最小的唯一电子邮件。</p>\n\n<p>以 <strong>任意顺序</strong> 返回结果表。 （<strong>注意</strong>： 仅需要写删除语句，将自动对剩余结果进行查询）</p>\n\n<p>查询结果格式如下所示。</p>\n\n<p> </p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入:</strong> \nPerson 表:\n+----+------------------+\n| id | email |\n+----+------------------+\n| 1 | john@example.com |\n| 2 | bob@example.com |\n| 3 | john@example.com |\n+----+------------------+\n<strong>输出:</strong> \n+----+------------------+\n| id | email |\n+----+------------------+\n| 1 | john@example.com |\n| 2 | bob@example.com |\n+----+------------------+\n<strong>解释:</strong> john@example.com重复两次。我们保留最小的Id = 1。</pre>\n",
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"translatedContent": "<p>表: <code>Person</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| email | varchar |\n+-------------+---------+\nid 是该表的主键列(具有唯一值的列)。\n该表的每一行包含一封电子邮件。电子邮件将不包含大写字母。\n</pre>\n\n<p> </p>\n\n<p>编写解决方案<strong> 删除</strong> 所有重复的电子邮件，只保留一个具有最小 <code>id</code> 的唯一电子邮件。</p>\n\n<p>（对于 SQL 用户，请注意你应该编写一个 <code>DELETE</code> 语句而不是 <code>SELECT</code> 语句。）</p>\n\n<p>（对于 Pandas 用户，请注意你应该直接修改 <code>Person</code> 表。）</p>\n\n<p>运行脚本后，显示的答案是 <code>Person</code> 表。驱动程序将首先编译并运行您的代码片段，然后再显示 <code>Person</code> 表。<code>Person</code> 表的最终顺序 <strong>无关紧要</strong> 。</p>\n\n<p>返回结果格式如下示例所示。</p>\n\n<p> </p>\n\n<p><strong class=\"example\">示例 1:</strong></p>\n\n<pre>\n<strong>输入:</strong> \nPerson 表:\n+----+------------------+\n| id | email |\n+----+------------------+\n| 1 | john@example.com |\n| 2 | bob@example.com |\n| 3 | john@example.com |\n+----+------------------+\n<strong>输出:</strong> \n+----+------------------+\n| id | email |\n+----+------------------+\n| 1 | john@example.com |\n| 2 | bob@example.com |\n+----+------------------+\n<strong>解释:</strong> john@example.com重复两次。我们保留最小的Id = 1。</pre>\n",
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"isPaidOnly": false,
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"difficulty": "Easy",
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"likes": 496,
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"similarQuestions": "[]",
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"topicTags": [
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{
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"name": "Database",
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@@ -31,23 +31,35 @@
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{
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"lang": "MySQL",
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"langSlug": "mysql",
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"code": "# Please write a DELETE statement and DO NOT write a SELECT statement.\n# Write your MySQL query statement below",
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"code": "# Write your MySQL query statement below",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "MS SQL Server",
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"langSlug": "mssql",
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"code": "/* \n Please write a DELETE statement and DO NOT write a SELECT statement.\n Write your T-SQL query statement below\n */",
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"code": "/* Write your T-SQL query statement below */",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Oracle",
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"langSlug": "oraclesql",
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"code": "/*\n Please write a DELETE statement and DO NOT write a SELECT statement.\n Write your PL/SQL query statement below\n */",
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"code": "/* Write your PL/SQL query statement below */",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef delete_duplicate_emails(person: pd.DataFrame) -> None:\n ",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below",
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"__typename": "CodeSnippetNode"
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}
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],
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"hints": [],
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"solution": {
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"id": "98",
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@@ -56,7 +68,7 @@
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},
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"status": null,
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"sampleTestCase": "{\"headers\": {\"Person\": [\"id\", \"email\"]}, \"rows\": {\"Person\": [[1, \"john@example.com\"], [2, \"bob@example.com\"], [3, \"john@example.com\"]]}}",
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"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Person (Id int, Email varchar(255))\"\n ],\n \"mssql\": [\n \"Create table Person (Id int, Email varchar(255))\"\n ],\n \"oraclesql\": [\n \"Create table Person (Id int, Email varchar(255))\"\n ],\n \"database\": true,\n \"manual\": true\n}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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@@ -67,7 +79,7 @@
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"insert into Person (id, email) values ('3', 'john@example.com')"
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],
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"enableRunCode": true,
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