Average Selling Price LeetCode Solution

This Leetcode problem Average Selling Price LeetCode Solution is done in SQL.

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Average Selling Price LeetCode Solution

Average Selling Price LeetCode Solution

Problem Statement

Column NameType
product_id int
start_date date
end_date date
price int
Table: Prices

(product_id, start_date, end_date) is the primary key (combination of columns with unique values) for this table.
Each row of this table indicates the price of the product_id in the period from start_date to end_date. For each product_id there will be no two overlapping periods. That means there will be no two intersecting periods for the same product_id.

Column NameType
product_id int
purchase_datedate
unitsint
Table: UnitsSold

This table may contain duplicate rows. Each row of this table indicates the date, units, and product_id of each product sold.

Write a solution to find the average selling price for each product. average_price should be rounded to 2 decimal places.

Return the result table in any order.

The result format is in the following example.

Example 1:
Input:

product_id start_dateend_date price
12019-02-172019-02-285
12019-03-012019-03-2220
22019-02-012019-02-2015
22019-02-212019-03-3130
Prices table:
product_id purchase_date units
12019-02-25100
12019-03-0115
22019-02-10200
22019-03-2230
UnitsSold table:

Output:

product_id average_price
16.96
216.96

Explanation:
Average selling price = Total Price of Product / Number of products sold. Average selling price for product 1 = ((100 * 5) + (15 * 20)) / 115 = 6.96 Average selling price for product 2 = ((200 * 15) + (30 * 30)) / 230 = 16.96

Average Selling Price LeetCode Solution MySQL

select 
  distinct p.product_id, 
  round(
    sum(price * units) / sum(units), 
    2
  ) as average_price 
from 
  Prices as p 
  join UnitsSold as u on p.product_id = u.product_id 
  and u.purchase_date between p.start_date 
  and p.end_date 
group by 
  p.product_id 
order by 
  p.product_id;Code language: SQL (Structured Query Language) (sql)
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