{ "data": { "question": { "questionId": "1327", "questionFrontendId": "1204", "categoryTitle": "Database", "boundTopicId": 33152, "title": "Last Person to Fit in the Bus", "titleSlug": "last-person-to-fit-in-the-bus", "content": "
Table: Queue
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| person_id | int |\n| person_name | varchar |\n| weight | int |\n| turn | int |\n+-------------+---------+\nperson_id column contains unique values.\nThis table has the information about all people waiting for a bus.\nThe person_id and turn columns will contain all numbers from 1 to n, where n is the number of rows in the table.\nturn determines the order of which the people will board the bus, where turn=1 denotes the first person to board and turn=n denotes the last person to board.\nweight is the weight of the person in kilograms.\n\n\n
\n\n
There is a queue of people waiting to board a bus. However, the bus has a weight limit of 1000
kilograms, so there may be some people who cannot board.
Write a solution to find the person_name
of the last person that can fit on the bus without exceeding the weight limit. The test cases are generated such that the first person does not exceed the weight limit.
The result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \nQueue table:\n+-----------+-------------+--------+------+\n| person_id | person_name | weight | turn |\n+-----------+-------------+--------+------+\n| 5 | Alice | 250 | 1 |\n| 4 | Bob | 175 | 5 |\n| 3 | Alex | 350 | 2 |\n| 6 | John Cena | 400 | 3 |\n| 1 | Winston | 500 | 6 |\n| 2 | Marie | 200 | 4 |\n+-----------+-------------+--------+------+\nOutput: \n+-------------+\n| person_name |\n+-------------+\n| John Cena |\n+-------------+\nExplanation: The folowing table is ordered by the turn for simplicity.\n+------+----+-----------+--------+--------------+\n| Turn | ID | Name | Weight | Total Weight |\n+------+----+-----------+--------+--------------+\n| 1 | 5 | Alice | 250 | 250 |\n| 2 | 3 | Alex | 350 | 600 |\n| 3 | 6 | John Cena | 400 | 1000 | (last person to board)\n| 4 | 2 | Marie | 200 | 1200 | (cannot board)\n| 5 | 4 | Bob | 175 | ___ |\n| 6 | 1 | Winston | 500 | ___ |\n+------+----+-----------+--------+--------------+\n\n", "translatedTitle": "最后一个能进入巴士的人", "translatedContent": "
表: Queue
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| person_id | int |\n| person_name | varchar |\n| weight | int |\n| turn | int |\n+-------------+---------+\nperson_id 是这个表具有唯一值的列。\n该表展示了所有候车乘客的信息。\n表中 person_id 和 turn 列将包含从 1 到 n 的所有数字,其中 n 是表中的行数。\nturn 决定了候车乘客上巴士的顺序,其中 turn=1 表示第一个上巴士,turn=n 表示最后一个上巴士。\nweight 表示候车乘客的体重,以千克为单位。\n\n\n
\n\n
有一队乘客在等着上巴士。然而,巴士有1000
千克 的重量限制,所以其中一部分乘客可能无法上巴士。
编写解决方案找出 最后一个 上巴士且不超过重量限制的乘客,并报告 person_name
。题目测试用例确保顺位第一的人可以上巴士且不会超重。
返回结果格式如下所示。
\n\n\n\n
示例 1:
\n\n\n输入:\nQueue 表\n+-----------+-------------+--------+------+\n| person_id | person_name | weight | turn |\n+-----------+-------------+--------+------+\n| 5 | Alice | 250 | 1 |\n| 4 | Bob | 175 | 5 |\n| 3 | Alex | 350 | 2 |\n| 6 | John Cena | 400 | 3 |\n| 1 | Winston | 500 | 6 |\n| 2 | Marie | 200 | 4 |\n+-----------+-------------+--------+------+\n输出:\n+-------------+\n| person_name |\n+-------------+\n| John Cena |\n+-------------+\n解释:\n为了简化,Queue 表按 turn 列由小到大排序。\n+------+----+-----------+--------+--------------+\n| Turn | ID | Name | Weight | Total Weight |\n+------+----+-----------+--------+--------------+\n| 1 | 5 | Alice | 250 | 250 |\n| 2 | 3 | Alex | 350 | 600 |\n| 3 | 6 | John Cena | 400 | 1000 | (最后一个上巴士)\n| 4 | 2 | Marie | 200 | 1200 | (无法上巴士)\n| 5 | 4 | Bob | 175 | ___ |\n| 6 | 1 | Winston | 500 | ___ |\n+------+----+-----------+--------+--------------+\n", "isPaidOnly": false, "difficulty": "Medium", "likes": 102, "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 last_passenger(queue: pd.DataFrame) -> pd.DataFrame:\n ", "__typename": "CodeSnippetNode" }, { "lang": "PostgreSQL", "langSlug": "postgresql", "code": "-- Write your PostgreSQL query statement below", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"20.1K\", \"totalSubmission\": \"28.4K\", \"totalAcceptedRaw\": 20123, \"totalSubmissionRaw\": 28381, \"acRate\": \"70.9%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "{\"headers\":{\"Queue\":[\"person_id\",\"person_name\",\"weight\",\"turn\"]},\"rows\":{\"Queue\":[[5,\"Alice\",250,1],[4,\"Bob\",175,5],[3,\"Alex\",350,2],[6,\"John Cena\",400,3],[1,\"Winston\",500,6],[2,\"Marie\",200,4]]}}", "metaData": "{\"manual\":false,\"mysql\":[\"Create table If Not Exists Queue (person_id int, person_name varchar(30), weight int, turn int)\"],\"mssql\":[\"Create table Queue (person_id int, person_name varchar(30), weight int, turn int)\"],\"oraclesql\":[\"Create table Queue (person_id int, person_name varchar(30), weight int, turn int)\"],\"database\":true,\"name\":\"last_passenger\",\"pythondata\":[\"Queue = pd.DataFrame([], columns=['person_id', 'person_name', 'weight', 'turn']).astype({'person_id':'Int64', 'person_name':'object', 'weight':'Int64', 'turn':'Int64'})\"],\"postgresql\":[\"\\nCreate table If Not Exists Queue (person_id int, person_name varchar(30), weight int, turn int)\"],\"database_schema\":{\"Queue\":{\"person_id\":\"INT\",\"person_name\":\"VARCHAR(30)\",\"weight\":\"INT\",\"turn\":\"INT\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Queue (person_id int, person_name varchar(30), weight int, turn int)", "Truncate table Queue", "insert into Queue (person_id, person_name, weight, turn) values ('5', 'Alice', '250', '1')", "insert into Queue (person_id, person_name, weight, turn) values ('4', 'Bob', '175', '5')", "insert into Queue (person_id, person_name, weight, turn) values ('3', 'Alex', '350', '2')", "insert into Queue (person_id, person_name, weight, turn) values ('6', 'John Cena', '400', '3')", "insert into Queue (person_id, person_name, weight, turn) values ('1', 'Winston', '500', '6')", "insert into Queue (person_id, person_name, weight, turn) values ('2', 'Marie', '200', '4')" ], "enableRunCode": true, "envInfo": "{\"mysql\":[\"MySQL\",\"
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"exampleTestcases": "{\"headers\":{\"Queue\":[\"person_id\",\"person_name\",\"weight\",\"turn\"]},\"rows\":{\"Queue\":[[5,\"Alice\",250,1],[4,\"Bob\",175,5],[3,\"Alex\",350,2],[6,\"John Cena\",400,3],[1,\"Winston\",500,6],[2,\"Marie\",200,4]]}}",
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}MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"