Table: Tweets
\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\n\n
\n\n
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 strictly greater than 15.
Return the result table in any order.
\n\nThe result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \nTweets table:\n+----------+----------------------------------+\n| tweet_id | content |\n+----------+----------------------------------+\n| 1 | Vote for Biden |\n| 2 | Let us make America great again! |\n+----------+----------------------------------+\nOutput: \n+----------+\n| tweet_id |\n+----------+\n| 2 |\n+----------+\nExplanation: \nTweet 1 has length = 14. It is a valid tweet.\nTweet 2 has length = 32. It is an invalid tweet.\n\n", "translatedTitle": "无效的推文", "translatedContent": "
表：Tweets
\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。\n\n
\n\n
查询所有无效推文的编号（ID）。当推文内容中的字符数严格大于 15 时，该推文是无效的。
以任意顺序返回结果表。
\n\n查询结果格式如下所示：
\n\n\n\n
示例 1：
\n\n\n输入：\nTweets 表：\n+----------+----------------------------------+\n| tweet_id | content |\n+----------+----------------------------------+\n| 1 | Vote for Biden |\n| 2 | Let us make America great again! |\n+----------+----------------------------------+\n\n输出：\n+----------+\n| tweet_id |\n+----------+\n| 2 |\n+----------+\n解释：\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\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\",\"
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"exampleTestcases": "{\"headers\":{\"Tweets\":[\"tweet_id\",\"content\"]},\"rows\":{\"Tweets\":[[1,\"Vote for Biden\"],[2,\"Let us make America great again!\"]]}}",
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