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"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>&nbsp;</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>&nbsp;</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>&nbsp;</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>&nbsp;</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",
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"difficulty": "Easy",
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"lang": "MySQL",
"langSlug": "mysql",
"code": "# Write your MySQL query statement below",
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{
"lang": "MS SQL Server",
"langSlug": "mssql",
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"lang": "Pandas",
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"code": "import pandas as pd\n\ndef invalid_tweets(tweets: pd.DataFrame) -> pd.DataFrame:\n ",
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{
"lang": "PostgreSQL",
"langSlug": "postgresql",
"code": "-- Write your PostgreSQL query statement below",
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"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!\"]]}}",
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"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!')"
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"style": "LEETCODE",
"exampleTestcases": "{\"headers\":{\"Tweets\":[\"tweet_id\",\"content\"]},\"rows\":{\"Tweets\":[[1,\"Vote for Biden\"],[2,\"Let us make America great again!\"]]}}",
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