{
"data": {
"question": {
"questionId": "1827",
"questionFrontendId": "1683",
"categoryTitle": "Database",
"boundTopicId": 517777,
"title": "Invalid Tweets",
"titleSlug": "invalid-tweets",
"content": "<p>Table: <code>Tweets</code></p>\n\n<pre>\n+----------------+---------+\n| Column Name | Type |\n+----------------+---------+\n| tweet_id | int |\n| content | varchar |\n+----------------+---------+\ntweet_id is the primary key (column with unique values) for this table.\nThis table contains all the tweets in a social media app.\n</pre>\n\n<p> </p>\n\n<p>Write a solution to find the IDs of the invalid tweets. The tweet is invalid if the number of characters used in the content of the tweet is <strong>strictly greater</strong> than <code>15</code>.</p>\n\n<p>Return the result table in <strong>any order</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> \nTweets table:\n+----------+----------------------------------+\n| tweet_id | content |\n+----------+----------------------------------+\n| 1 | Vote for Biden |\n| 2 | Let us make America great again! |\n+----------+----------------------------------+\n<strong>Output:</strong> \n+----------+\n| tweet_id |\n+----------+\n| 2 |\n+----------+\n<strong>Explanation:</strong> \nTweet 1 has length = 14. It is a valid tweet.\nTweet 2 has length = 32. It is an invalid tweet.\n</pre>\n",
"translatedTitle": "无效的推文",
"translatedContent": "<p>表：<code>Tweets</code></p>\n\n<pre>\n+----------------+---------+\n| Column Name | Type |\n+----------------+---------+\n| tweet_id | int |\n| content | varchar |\n+----------------+---------+\n在 SQL 中，tweet_id 是这个表的主键。\n这个表包含某社交媒体 App 中所有的推文。</pre>\n\n<p> </p>\n\n<p>查询所有无效推文的编号（ID）。当推文内容中的字符数<strong>严格大于</strong> <code>15</code> 时，该推文是无效的。</p>\n\n<p>以<strong>任意顺序</strong>返回结果表。</p>\n\n<p>查询结果格式如下所示：</p>\n\n<p> </p>\n\n<p><strong>示例 1：</strong></p>\n\n<pre>\n<strong>输入：</strong>\nTweets 表：\n+----------+----------------------------------+\n| tweet_id | content |\n+----------+----------------------------------+\n| 1 | Vote for Biden |\n| 2 | Let us make America great again! |\n+----------+----------------------------------+\n\n<strong>输出：</strong>\n+----------+\n| tweet_id |\n+----------+\n| 2 |\n+----------+\n<strong>解释：</strong>\n推文 1 的长度 length = 14。该推文是有效的。\n推文 2 的长度 length = 32。该推文是无效的。\n</pre>\n",
"isPaidOnly": false,
"difficulty": "Easy",
"likes": 51,
"dislikes": 0,
"isLiked": null,
"similarQuestions": "[]",
"contributors": [],
"langToValidPlayground": "{\"cpp\": false, \"java\": false, \"python\": false, \"python3\": false, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"typescript\": false, \"bash\": false, \"php\": false, \"swift\": false, \"kotlin\": false, \"dart\": false, \"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false}",
"topicTags": [
{
"name": "Database",
"slug": "database",
"translatedName": "数据库",
"__typename": "TopicTagNode"
}
],
"companyTagStats": null,
"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 */",
"__typename": "CodeSnippetNode"
},
{
"lang": "Oracle",
"langSlug": "oraclesql",
"code": "/* Write your PL/SQL query statement below */",
"__typename": "CodeSnippetNode"
},
{
"lang": "Pandas",
"langSlug": "pythondata",
"code": "import pandas as pd\n\ndef invalid_tweets(tweets: pd.DataFrame) -> pd.DataFrame:\n ",
"__typename": "CodeSnippetNode"
},
{
"lang": "PostgreSQL",
"langSlug": "postgresql",
"code": "-- Write your PostgreSQL query statement below",
"__typename": "CodeSnippetNode"
}
],
"stats": "{\"totalAccepted\": \"39.8K\", \"totalSubmission\": \"46.8K\", \"totalAcceptedRaw\": 39774, \"totalSubmissionRaw\": 46835, \"acRate\": \"84.9%\"}",
"hints": [],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\":{\"Tweets\":[\"tweet_id\",\"content\"]},\"rows\":{\"Tweets\":[[1,\"Vote for Biden\"],[2,\"Let us make America great again!\"]]}}",
"metaData": "{\"mysql\":[\"Create table If Not Exists Tweets(tweet_id int, content varchar(50))\"],\"mssql\":[\"Create table Tweets(tweet_id int, content varchar(50))\"],\"oraclesql\":[\"Create table Tweets(tweet_id int, content varchar(50))\"],\"database\":true,\"name\":\"invalid_tweets\",\"pythondata\":[\"Tweets = pd.DataFrame([], columns=['tweet_id', 'content']).astype({'tweet_id':'Int64', 'content':'object'})\"],\"postgresql\":[\"Create table If Not Exists Tweets(tweet_id int, content varchar(50))\"],\"database_schema\":{\"Tweets\":{\"tweet_id\":\"INT\",\"content\":\"VARCHAR(50)\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
"Create table If Not Exists Tweets(tweet_id int, content varchar(50))",
"Truncate table Tweets",
"insert into Tweets (tweet_id, content) values ('1', 'Vote for Biden')",
"insert into Tweets (tweet_id, content) values ('2', 'Let us make America great again!')"
],
"enableRunCode": true,
"envInfo": "{\"mysql\":[\"MySQL\",\"<p>\\u7248\\u672c\\uff1a<code>MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"<p>mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"<p>Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
"book": null,
"isSubscribed": false,
"isDailyQuestion": false,
"dailyRecordStatus": null,
"editorType": "CKEDITOR",
"ugcQuestionId": null,
"style": "LEETCODE",
"exampleTestcases": "{\"headers\":{\"Tweets\":[\"tweet_id\",\"content\"]},\"rows\":{\"Tweets\":[[1,\"Vote for Biden\"],[2,\"Let us make America great again!\"]]}}",
"__typename": "QuestionNode"
}
}
}