Table: Sales
\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 Product 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\n\n\n\n
Table: Product
\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\n\n
\n\n
Write a solution to report the product_name, year, and price for each sale_id in the Sales table.
Return the resulting table in any order.
\n\nThe result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \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+------------+--------------+\nOutput: \n+--------------+-------+-------+\n| product_name | year | price |\n+--------------+-------+-------+\n| Nokia | 2008 | 5000 |\n| Nokia | 2009 | 5000 |\n| Apple | 2011 | 9000 |\n+--------------+-------+-------+\nExplanation: \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\n", "translatedTitle": "产品销售分析 I", "translatedContent": "
销售表 Sales：
\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) 是销售表 Sales 的主键（具有唯一值的列的组合）。\nproduct_id 是关联到产品表 Product 的外键（reference 列）。\n该表的每一行显示 product_id 在某一年的销售情况。\n注意: price 表示每单位价格。\n\n\n
产品表 Product：
\n+--------------+---------+\n| Column Name | Type |\n+--------------+---------+\n| product_id | int |\n| product_name | varchar |\n+--------------+---------+\nproduct_id 是表的主键（具有唯一值的列）。\n该表的每一行表示每种产品的产品名称。\n\n\n
\n\n
编写解决方案，以获取 Sales 表中所有 sale_id 对应的 product_name 以及该产品的所有 year 和 price 。
返回结果表 无顺序要求 。
\n\n结果格式示例如下。
\n\n\n\n
示例 1：
\n\n\n输入：\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输出：\n+--------------+-------+-------+\n| product_name | year | price |\n+--------------+-------+-------+\n| Nokia | 2008 | 5000 |\n| Nokia | 2009 | 5000 |\n| Apple | 2011 | 9000 |\n+--------------+-------+-------+\n\n",
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"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')",
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"insert into Product (product_id, product_name) values ('200', 'Apple')",
"insert into Product (product_id, product_name) values ('300', 'Samsung')"
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