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@@ -7,17 +7,17 @@
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"title": "Product Sales Analysis III",
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"titleSlug": "product-sales-analysis-iii",
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"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> </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> </p>\n\n<p>Write a solution to select 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 result format is in the following example.</p>\n\n<p> </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",
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"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 records a sale of a product in a given year.\nA product may have multiple sales entries in the same year.\nNote that the per-unit price.\n\n</pre>\n\n<p>Write a solution to find all sales that occurred in the <strong data-end=\"967\" data-start=\"953\">first year</strong> each product was sold.</p>\n\n<ul data-end=\"1234\" data-start=\"992\">\n\t<li data-end=\"1078\" data-start=\"992\">\n\t<p data-end=\"1078\" data-start=\"994\">For each <code data-end=\"1015\" data-start=\"1003\">product_id</code>, identify the earliest <code data-end=\"1045\" data-start=\"1039\">year</code> it appears in the <code data-end=\"1071\" data-start=\"1064\">Sales</code> table.</p>\n\t</li>\n\t<li data-end=\"1140\" data-start=\"1079\">\n\t<p data-end=\"1140\" data-start=\"1081\">Return <strong data-end=\"1095\" data-start=\"1088\">all</strong> sales entries for that product in that year.</p>\n\t</li>\n</ul>\n\n<p data-end=\"1234\" data-start=\"1143\">Return a table with the following columns: <strong>product_id</strong>,<strong> first_year</strong>, <strong>quantity, </strong>and<strong> price</strong>.<br />\nReturn the result in any order.</p>\n\n<p> </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+---------+------------+------+----------+-------+\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",
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"translatedTitle": "产品销售分析 III",
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"translatedContent": "<p>销售表 <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> </p>\n\n<p>产品表 <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> </p>\n\n<p>编写解决方案，选出每个售出过的产品 <strong>第一年</strong> 销售的 <strong>产品 id</strong>、<strong>年份</strong>、<strong>数量 </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> </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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"translatedContent": "<p>销售表 <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一个产品可能在同一年内有多个销售条目。\n请注意，价格是按每单位计的。\n</pre>\n\n<p>编写解决方案，选出每个售出过的产品 <strong>第一年</strong> 销售的 <strong>产品 id</strong>、<strong>年份</strong>、<strong>数量 </strong>和 <strong>价格</strong>。</p>\n\n<ul>\n\t<li>对每个 <code>product_id</code>，找到其在Sales表中首次出现的最早年份。</li>\n\t<li>返回该产品在该年度的 <strong>所有</strong> 销售条目。</li>\n</ul>\n\n<p>返回一张有这些列的表：<strong>product_id</strong>，<strong>first_year</strong>，<strong>quantity </strong>和<strong> price</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> </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+---------+------------+------+----------+-------+\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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"difficulty": "Medium",
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@@ -40,6 +40,12 @@
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"code": "/* Write your T-SQL query statement below */",
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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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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below",
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"code": "import pandas as pd\n\ndef sales_analysis(sales: 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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"sampleTestCase": "{\"headers\":{\"Sales\":[\"sale_id\",\"product_id\",\"year\",\"quantity\",\"price\"]},\"rows\":{\"Sales\":[[1,100,2008,10,5000],[2,100,2009,12,5000],[7,200,2011,15,9000]]}}",
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"Create table If Not Exists Sales (sale_id int, product_id int, year int, quantity int, price int)",
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"Create table If Not Exists Product (product_id int, product_name varchar(10))",
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"Truncate table Sales",
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"insert into Sales (sale_id, product_id, year, quantity, price) values ('1', '100', '2008', '10', '5000')",
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"insert into Sales (sale_id, product_id, year, quantity, price) values ('2', '100', '2009', '12', '5000')",
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"insert into Sales (sale_id, product_id, year, quantity, price) values ('7', '200', '2011', '15', '9000')",
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"Truncate table Product",
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"insert into Product (product_id, product_name) values ('100', 'Nokia')",
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"insert into Product (product_id, product_name) values ('200', 'Apple')",
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"insert into Product (product_id, product_name) values ('300', 'Samsung')"
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"insert into Sales (sale_id, product_id, year, quantity, price) values ('7', '200', '2011', '15', '9000')"
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"exampleTestcases": "{\"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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