Table: Sales
+-------------+-------+
+| Column Name | Type |
++-------------+-------+
+| sale_id | int |
+| product_id | int |
+| year | int |
+| quantity | int |
+| price | int |
++-------------+-------+
+(sale_id, year) is the primary key (combination of columns with unique values) of this table.
+product_id is a foreign key (reference column) to Product table.
+Each row of this table shows a sale on the product product_id in a certain year.
+Note that the price is per unit.
+
+
++ +
Table: Product
+--------------+---------+ +| Column Name | Type | ++--------------+---------+ +| product_id | int | +| product_name | varchar | ++--------------+---------+ +product_id is the primary key (column with unique values) of this table. +Each row of this table indicates the product name of each product. ++ +
+ +
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.
+ +The result format is in the following example.
+ ++
Example 1:
+ +Input: +Sales table: ++---------+------------+------+----------+-------+ +| sale_id | product_id | year | quantity | price | ++---------+------------+------+----------+-------+ +| 1 | 100 | 2008 | 10 | 5000 | +| 2 | 100 | 2009 | 12 | 5000 | +| 7 | 200 | 2011 | 15 | 9000 | ++---------+------------+------+----------+-------+ +Product table: ++------------+--------------+ +| product_id | product_name | ++------------+--------------+ +| 100 | Nokia | +| 200 | Apple | +| 300 | Samsung | ++------------+--------------+ +Output: ++--------------+-------+-------+ +| product_name | year | price | ++--------------+-------+-------+ +| Nokia | 2008 | 5000 | +| Nokia | 2009 | 5000 | +| Apple | 2011 | 9000 | ++--------------+-------+-------+ +Explanation: +From sale_id = 1, we can conclude that Nokia was sold for 5000 in the year 2008. +From sale_id = 2, we can conclude that Nokia was sold for 5000 in the year 2009. +From sale_id = 7, we can conclude that Apple was sold for 9000 in the year 2011. ++