{ "data": { "question": { "questionId": "1523", "questionFrontendId": "1393", "categoryTitle": "Database", "boundTopicId": 172858, "title": "Capital Gain/Loss", "titleSlug": "capital-gainloss", "content": "
Table: Stocks
\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| stock_name | varchar |\n| operation | enum |\n| operation_day | int |\n| price | int |\n+---------------+---------+\n(stock_name, operation_day) is the primary key for this table.\nThe operation column is an ENUM of type ('Sell', 'Buy')\nEach row of this table indicates that the stock which has stock_name had an operation on the day operation_day with the price.\nIt is guaranteed that each 'Sell' operation for a stock has a corresponding 'Buy' operation in a previous day. It is also guaranteed that each 'Buy' operation for a stock has a corresponding 'Sell' operation in an upcoming day.\n\n\n
\n\n
Write an SQL query to report the Capital gain/loss for each stock.
\n\nThe Capital gain/loss of a stock is the total gain or loss after buying and selling the stock one or many times.
\n\nReturn the result table in any order.
\n\nThe query result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \nStocks table:\n+---------------+-----------+---------------+--------+\n| stock_name | operation | operation_day | price |\n+---------------+-----------+---------------+--------+\n| Leetcode | Buy | 1 | 1000 |\n| Corona Masks | Buy | 2 | 10 |\n| Leetcode | Sell | 5 | 9000 |\n| Handbags | Buy | 17 | 30000 |\n| Corona Masks | Sell | 3 | 1010 |\n| Corona Masks | Buy | 4 | 1000 |\n| Corona Masks | Sell | 5 | 500 |\n| Corona Masks | Buy | 6 | 1000 |\n| Handbags | Sell | 29 | 7000 |\n| Corona Masks | Sell | 10 | 10000 |\n+---------------+-----------+---------------+--------+\nOutput: \n+---------------+-------------------+\n| stock_name | capital_gain_loss |\n+---------------+-------------------+\n| Corona Masks | 9500 |\n| Leetcode | 8000 |\n| Handbags | -23000 |\n+---------------+-------------------+\nExplanation: \nLeetcode stock was bought at day 1 for 1000$ and was sold at day 5 for 9000$. Capital gain = 9000 - 1000 = 8000$.\nHandbags stock was bought at day 17 for 30000$ and was sold at day 29 for 7000$. Capital loss = 7000 - 30000 = -23000$.\nCorona Masks stock was bought at day 1 for 10$ and was sold at day 3 for 1010$. It was bought again at day 4 for 1000$ and was sold at day 5 for 500$. At last, it was bought at day 6 for 1000$ and was sold at day 10 for 10000$. Capital gain/loss is the sum of capital gains/losses for each ('Buy' --> 'Sell') operation = (1010 - 10) + (500 - 1000) + (10000 - 1000) = 1000 - 500 + 9000 = 9500$.\n\n", "translatedTitle": "股票的资本损益", "translatedContent": "
Stocks
表:
+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| stock_name | varchar |\n| operation | enum |\n| operation_day | int |\n| price | int |\n+---------------+---------+\n(stock_name, day) 是这张表的主键\noperation 列使用的是一种枚举类型,包括:('Sell','Buy')\n此表的每一行代表了名为 stock_name 的某支股票在 operation_day 这一天的操作价格。\n保证股票的每次'Sell'操作前,都有相应的'Buy'操作。\n\n\n
\n\n
编写一个SQL查询来报告每支股票的资本损益。
\n\n股票的资本损益是一次或多次买卖股票后的全部收益或损失。
\n\n以任意顺序返回结果即可。
\n\nSQL查询结果的格式如下例所示:
\n\nStocks
表:\n+---------------+-----------+---------------+--------+\n| stock_name | operation | operation_day | price |\n+---------------+-----------+---------------+--------+\n| Leetcode | Buy | 1 | 1000 |\n| Corona Masks | Buy | 2 | 10 |\n| Leetcode | Sell | 5 | 9000 |\n| Handbags | Buy | 17 | 30000 |\n| Corona Masks | Sell | 3 | 1010 |\n| Corona Masks | Buy | 4 | 1000 |\n| Corona Masks | Sell | 5 | 500 |\n| Corona Masks | Buy | 6 | 1000 |\n| Handbags | Sell | 29 | 7000 |\n| Corona Masks | Sell | 10 | 10000 |\n+---------------+-----------+---------------+--------+\n\nResult 表:\n+---------------+-------------------+\n| stock_name | capital_gain_loss |\n+---------------+-------------------+\n| Corona Masks | 9500 |\n| Leetcode | 8000 |\n| Handbags | -23000 |\n+---------------+-------------------+\nLeetcode 股票在第一天以1000美元的价格买入,在第五天以9000美元的价格卖出。资本收益=9000-1000=8000美元。\nHandbags 股票在第17天以30000美元的价格买入,在第29天以7000美元的价格卖出。资本损失=7000-30000=-23000美元。\nCorona Masks 股票在第1天以10美元的价格买入,在第3天以1010美元的价格卖出。在第4天以1000美元的价格再次购买,在第5天以500美元的价格出售。最后,它在第6天以1000美元的价格被买走,在第10天以10000美元的价格被卖掉。资本损益是每次(’Buy'->'Sell')操作资本收益或损失的和=(1010-10)+(500-1000)+(10000-1000)=1000-500+9000=9500美元。\n
\n",
"isPaidOnly": false,
"difficulty": "Medium",
"likes": 15,
"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, \"ruby\": false, \"bash\": false, \"swift\": false, \"golang\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"kotlin\": false, \"rust\": false, \"php\": false, \"typescript\": false, \"racket\": false, \"erlang\": false, \"elixir\": 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"
}
],
"stats": "{\"totalAccepted\": \"5.2K\", \"totalSubmission\": \"6K\", \"totalAcceptedRaw\": 5156, \"totalSubmissionRaw\": 6029, \"acRate\": \"85.5%\"}",
"hints": [],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\":{\"Stocks\":[\"stock_name\",\"operation\",\"operation_day\",\"price\"]},\"rows\":{\"Stocks\":[[\"Leetcode\",\"Buy\",1,1000],[\"Corona Masks\",\"Buy\",2,10],[\"Leetcode\",\"Sell\",5,9000],[\"Handbags\",\"Buy\",17,30000],[\"Corona Masks\",\"Sell\",3,1010],[\"Corona Masks\",\"Buy\",4,1000],[\"Corona Masks\",\"Sell\",5,500],[\"Corona Masks\",\"Buy\",6,1000],[\"Handbags\",\"Sell\",29,7000],[\"Corona Masks\",\"Sell\",10,10000]]}}",
"metaData": "{\n \"mysql\": [\n \"Create Table If Not Exists Stocks (stock_name varchar(15), operation ENUM('Sell', 'Buy'), operation_day int, price int)\"\n ],\n \"mssql\": [\n \"Create Table Stocks (stock_name varchar(15), operation VARCHAR(10) NOT NULL CHECK (operation IN ('Sell', 'Buy')), operation_day int, price int)\"\n ],\n \"oraclesql\": [\n \"Create Table Stocks (stock_name varchar(15), operation VARCHAR(10) NOT NULL CHECK (operation IN ('Sell', 'Buy')), operation_day int, price int)\"\n ],\n \"database\": true\n}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
"Create Table If Not Exists Stocks (stock_name varchar(15), operation ENUM('Sell', 'Buy'), operation_day int, price int)",
"Truncate table Stocks",
"insert into Stocks (stock_name, operation, operation_day, price) values ('Leetcode', 'Buy', '1', '1000')",
"insert into Stocks (stock_name, operation, operation_day, price) values ('Corona Masks', 'Buy', '2', '10')",
"insert into Stocks (stock_name, operation, operation_day, price) values ('Leetcode', 'Sell', '5', '9000')",
"insert into Stocks (stock_name, operation, operation_day, price) values ('Handbags', 'Buy', '17', '30000')",
"insert into Stocks (stock_name, operation, operation_day, price) values ('Corona Masks', 'Sell', '3', '1010')",
"insert into Stocks (stock_name, operation, operation_day, price) values ('Corona Masks', 'Buy', '4', '1000')",
"insert into Stocks (stock_name, operation, operation_day, price) values ('Corona Masks', 'Sell', '5', '500')",
"insert into Stocks (stock_name, operation, operation_day, price) values ('Corona Masks', 'Buy', '6', '1000')",
"insert into Stocks (stock_name, operation, operation_day, price) values ('Handbags', 'Sell', '29', '7000')",
"insert into Stocks (stock_name, operation, operation_day, price) values ('Corona Masks', 'Sell', '10', '10000')"
],
"enableRunCode": true,
"envInfo": "{\"mysql\":[\"MySQL\",\"\\u7248\\u672c\\uff1a mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\" Oracle Sql 11.2.<\\/p>\"]}",
"book": null,
"isSubscribed": false,
"isDailyQuestion": false,
"dailyRecordStatus": null,
"editorType": "CKEDITOR",
"ugcQuestionId": null,
"style": "LEETCODE",
"exampleTestcases": "{\"headers\":{\"Stocks\":[\"stock_name\",\"operation\",\"operation_day\",\"price\"]},\"rows\":{\"Stocks\":[[\"Leetcode\",\"Buy\",1,1000],[\"Corona Masks\",\"Buy\",2,10],[\"Leetcode\",\"Sell\",5,9000],[\"Handbags\",\"Buy\",17,30000],[\"Corona Masks\",\"Sell\",3,1010],[\"Corona Masks\",\"Buy\",4,1000],[\"Corona Masks\",\"Sell\",5,500],[\"Corona Masks\",\"Buy\",6,1000],[\"Handbags\",\"Sell\",29,7000],[\"Corona Masks\",\"Sell\",10,10000]]}}",
"__typename": "QuestionNode"
}
}
}MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"