Practice Product Sales Analysis I
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Product Sales Analysis I
Tables: Sales(sale_id INT, product_id INT, year INT, quantity INT, price INT); Product(product_id INT, product_name VARCHAR). Sales has key (sale_id, year); Sales.product_id references Product.product_id, which is unique. Sales.price is a per-unit price. Return product_name, year and price for each sales row. Preserve separate sales even if their displayed values happen to match. Output order is unrestricted.
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Problem Statement
Tables: Sales(sale_id INT, product_id INT, year INT, quantity INT, price INT); Product(product_id INT, product_name VARCHAR). Sales has key (sale_id, year); Sales.product_id references Product.product_id, which is unique. Sales.price is a per-unit price. Return product_name, year and price for each sales row. Preserve separate sales even if their displayed values happen to match. Output order is unrestricted.
Source: Product Sales Analysis I on LeetCode. Use the original task for its coding environment and submissions.
Product Sales Analysis I
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Examples
# Example 1
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 | +------------+--------------+
+--------------+-------+-------+ | product_name | year | price | +--------------+-------+-------+ | Nokia | 2008 | 5000 | | Nokia | 2009 | 5000 | | Apple | 2011 | 9000 | +--------------+-------+-------+
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