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": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Easy", "likes": 620, "dislikes": 195, "isLiked": null, "similarQuestions": "[{\"title\": \"Product Sales Analysis II\", \"titleSlug\": \"product-sales-analysis-ii\", \"difficulty\": \"Easy\", \"translatedTitle\": null}, {\"title\": \"Product Sales Analysis IV\", \"titleSlug\": \"product-sales-analysis-iv\", \"difficulty\": \"Medium\", \"translatedTitle\": null}, {\"title\": \"Product Sales Analysis V\", \"titleSlug\": \"product-sales-analysis-v\", \"difficulty\": \"Easy\", \"translatedTitle\": null}]", "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\"]]}}", "categoryTitle": "Database", "contributors": [], "topicTags": [ { "name": "Database", 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