leetcode-problemset/leetcode-cn/originData/product-sales-analysis-iii.json

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        "question": {
            "questionId": "1155",
            "questionFrontendId": "1070",
            "categoryTitle": "Database",
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            "title": "Product Sales Analysis III",
            "titleSlug": "product-sales-analysis-iii",
            "content": "<p>Table: <code>Sales</code></p>\n\n<pre>\n+-------------+-------+\n| Column Name | Type  |\n+-------------+-------+\n| sale_id     | int   |\n| product_id  | int   |\n| year        | int   |\n| quantity    | int   |\n| price       | int   |\n+-------------+-------+\n(sale_id, year) is the primary key (combination of columns with unique values) of this table.\nproduct_id is a foreign key (reference column) to <code>Product</code> table.\nEach row of this table shows a sale on the product product_id in a certain year.\nNote that the price is per unit.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Table: <code>Product</code></p>\n\n<pre>\n+--------------+---------+\n| Column Name  | Type    |\n+--------------+---------+\n| product_id   | int     |\n| product_name | varchar |\n+--------------+---------+\nproduct_id is the primary key (column with unique values) of this table.\nEach row of this table indicates the product name of each product.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to select&nbsp;the <strong>product id</strong>, <strong>year</strong>, <strong>quantity</strong>, and <strong>price</strong> for the <strong>first year</strong> of every product sold.</p>\n\n<p>Return the resulting table in <strong>any order</strong>.</p>\n\n<p>The&nbsp;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> \nSales table:\n+---------+------------+------+----------+-------+\n| sale_id | product_id | year | quantity | price |\n+---------+------------+------+----------+-------+ \n| 1       | 100        | 2008 | 10       | 5000  |\n| 2       | 100        | 2009 | 12       | 5000  |\n| 7       | 200        | 2011 | 15       | 9000  |\n+---------+------------+------+----------+-------+\nProduct table:\n+------------+--------------+\n| product_id | product_name |\n+------------+--------------+\n| 100        | Nokia        |\n| 200        | Apple        |\n| 300        | Samsung      |\n+------------+--------------+\n<strong>Output:</strong> \n+------------+------------+----------+-------+\n| product_id | first_year | quantity | price |\n+------------+------------+----------+-------+ \n| 100        | 2008       | 10       | 5000  |\n| 200        | 2011       | 15       | 9000  |\n+------------+------------+----------+-------+\n</pre>\n",
            "translatedTitle": "产品销售分析 III",
            "translatedContent": "<p>销售表&nbsp;<code>Sales</code>：</p>\n\n<pre>\n+-------------+-------+\n| Column Name | Type  |\n+-------------+-------+\n| sale_id     | int   |\n| product_id  | int   |\n| year        | int   |\n| quantity    | int   |\n| price       | int   |\n+-------------+-------+\n(sale_id, year) 是这张表的主键（具有唯一值的列的组合）。\nproduct_id 是产品表的外键（reference 列）。\n这张表的每一行都表示：编号 product_id 的产品在某一年的销售额。\n请注意，价格是按每单位计的。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>产品表&nbsp;<code>Product</code>：</p>\n\n<pre>\n+--------------+---------+\n| Column Name  | Type    |\n+--------------+---------+\n| product_id   | int     |\n| product_name | varchar |\n+--------------+---------+\nproduct_id 是这张表的主键（具有唯一值的列）。\n这张表的每一行都标识：每个产品的 id 和 产品名称。</pre>\n\n<p>&nbsp;</p>\n\n<p>编写解决方案，选出每个售出过的产品&nbsp;<strong>第一年</strong> 销售的 <strong>产品 id</strong>、<strong>年份</strong>、<strong>数量&nbsp;</strong>和 <strong>价格</strong>。</p>\n\n<p>结果表中的条目可以按 <strong>任意顺序</strong> 排列。</p>\n\n<p>结果格式如下例所示：</p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例 1：</strong></p>\n\n<pre>\n<strong>输入：</strong>\nSales 表：\n+---------+------------+------+----------+-------+\n| sale_id | product_id | year | quantity | price |\n+---------+------------+------+----------+-------+ \n| 1       | 100        | 2008 | 10       | 5000  |\n| 2       | 100        | 2009 | 12       | 5000  |\n| 7       | 200        | 2011 | 15       | 9000  |\n+---------+------------+------+----------+-------+\nProduct 表：\n+------------+--------------+\n| product_id | product_name |\n+------------+--------------+\n| 100        | Nokia        |\n| 200        | Apple        |\n| 300        | Samsung      |\n+------------+--------------+\n<strong>输出：</strong>\n+------------+------------+----------+-------+\n| product_id | first_year | quantity | price |\n+------------+------------+----------+-------+ \n| 100        | 2008       | 10       | 5000  |\n| 200        | 2011       | 15       | 9000  |\n+------------+------------+----------+-------+</pre>\n",
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                    "code": "import pandas as pd\n\ndef sales_analysis(sales: pd.DataFrame, product: pd.DataFrame) -> pd.DataFrame:\n    ",
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            "sampleTestCase": "{\"headers\":{\"Sales\":[\"sale_id\",\"product_id\",\"year\",\"quantity\",\"price\"],\"Product\":[\"product_id\",\"product_name\"]},\"rows\":{\"Sales\":[[1,100,2008,10,5000],[2,100,2009,12,5000],[7,200,2011,15,9000]],\"Product\":[[100,\"Nokia\"],[200,\"Apple\"],[300,\"Samsung\"]]}}",
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                "Truncate table Sales",
                "insert into Sales (sale_id, product_id, year, quantity, price) values ('1', '100', '2008', '10', '5000')",
                "insert into Sales (sale_id, product_id, year, quantity, price) values ('2', '100', '2009', '12', '5000')",
                "insert into Sales (sale_id, product_id, year, quantity, price) values ('7', '200', '2011', '15', '9000')",
                "Truncate table Product",
                "insert into Product (product_id, product_name) values ('100', 'Nokia')",
                "insert into Product (product_id, product_name) values ('200', 'Apple')",
                "insert into Product (product_id, product_name) values ('300', 'Samsung')"
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