{ "data": { "question": { "questionId": "1827", "questionFrontendId": "1683", "boundTopicId": null, "title": "Invalid Tweets", "titleSlug": "invalid-tweets", "content": "
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": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Easy", "likes": 698, "dislikes": 230, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "{\"headers\":{\"Tweets\":[\"tweet_id\",\"content\"]},\"rows\":{\"Tweets\":[[1,\"Vote for Biden\"],[2,\"Let us make America great again!\"]]}}", "categoryTitle": "Database", "contributors": [], "topicTags": [ { "name": "Database", "slug": "database", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "MySQL", "langSlug": "mysql", "code": "# Write your MySQL query statement below\n", "__typename": "CodeSnippetNode" }, { "lang": "MS SQL Server", "langSlug": "mssql", "code": "/* Write your T-SQL query statement below */\n", "__typename": "CodeSnippetNode" }, { "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 invalid_tweets(tweets: pd.DataFrame) -> pd.DataFrame:\n ", "__typename": "CodeSnippetNode" }, { "lang": "PostgreSQL", "langSlug": "postgresql", "code": "-- Write your PostgreSQL query statement below\n", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"236.7K\", \"totalSubmission\": \"279.9K\", \"totalAcceptedRaw\": 236718, \"totalSubmissionRaw\": 279903, \"acRate\": \"84.6%\"}", "hints": [], "solution": { "id": "1940", "canSeeDetail": false, "paidOnly": true, "hasVideoSolution": false, "paidOnlyVideo": true, "__typename": "ArticleNode" }, "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, "enableTestMode": false, "enableDebugger": false, "envInfo": "{\"mysql\": [\"MySQL\", \"
MySQL 8.0
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mssql server 2019
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Oracle Sql 11.2
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Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0
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