leetcode-problemset/leetcode/originData/product-sales-analysis-i.json

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            "title": "Product Sales Analysis I",
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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>&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 report the <code>product_name</code>, <code>year</code>, and <code>price</code> for each <code>sale_id</code> in the <code>Sales</code> table.</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>&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_name | year  | price |\n+--------------+-------+-------+\n| Nokia        | 2008  | 5000  |\n| Nokia        | 2009  | 5000  |\n| Apple        | 2011  | 9000  |\n+--------------+-------+-------+\n<strong>Explanation:</strong> \nFrom sale_id = 1, we can conclude that Nokia was sold for 5000 in the year 2008.\nFrom sale_id = 2, we can conclude that Nokia was sold for 5000 in the year 2009.\nFrom sale_id = 7, we can conclude that Apple was sold for 9000 in the year 2011.\n</pre>\n",
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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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                    "lang": "Oracle",
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                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef sales_analysis(sales: pd.DataFrame, product: pd.DataFrame) -> pd.DataFrame:\n    ",
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                    "lang": "PostgreSQL",
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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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                "Create table If Not Exists Sales (sale_id int, product_id int, year int, quantity int, price int)",
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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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