leetcode-problemset/leetcode-cn/originData/invalid-tweets.json

{
    "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.\ncontent consists of characters on an American Keyboard, and no other special characters.\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        | Let us Code                       |\n| 2        | More than fifteen chars are here! |\n+----------+-----------------------------------+\n<strong>Output:</strong> \n+----------+\n| tweet_id |\n+----------+\n| 2        |\n+----------+\n<strong>Explanation:</strong> \nTweet 1 has length = 11. It is a valid tweet.\nTweet 2 has length = 33. 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。\ncontent 只包含美式键盘上的字符，不包含其它特殊字符。\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",
            "isPaidOnly": false,
            "difficulty": "Easy",
            "likes": 70,
            "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, \"cangjie\": 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\": \"101.3K\", \"totalSubmission\": \"119.1K\", \"totalAcceptedRaw\": 101349, \"totalSubmissionRaw\": 119103, \"acRate\": \"85.1%\"}",
            "hints": [],
            "solution": null,
            "status": null,
            "sampleTestCase": "{\"headers\":{\"Tweets\":[\"tweet_id\",\"content\"]},\"rows\":{\"Tweets\":[[1,\"Let us Code\"],[2,\"More than fifteen chars are here!\"]]}}",
            "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', 'Let us Code')",
                "insert into Tweets (tweet_id, content) values ('2', 'More than fifteen chars are here!')"
            ],
            "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 2.2.2 and NumPy 1.26.4<\\/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,\"Let us Code\"],[2,\"More than fifteen chars are here!\"]]}}",
            "__typename": "QuestionNode"
        }
    }
}