1251. Average Selling Price

Level: Easy, Amazon

Question:

Table: Prices

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| product_id    | int     |
| start_date    | date    |
| end_date      | date    |
| price         | int     |
+---------------+---------+
(product_id, start_date, end_date) is the primary key 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.

Table: UnitsSold

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| product_id    | int     |
| purchase_date | date    |
| units         | int     |
+---------------+---------+
There is no primary key for this table, it may contain duplicates.
Each row of this table indicates the date, units, and product_id of each product sold. 

Write an SQL query 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 query result format is in the following example.

Example 1:

Input: 
Prices table:
+------------+------------+------------+--------+
| product_id | start_date | end_date   | price  |
+------------+------------+------------+--------+
| 1          | 2019-02-17 | 2019-02-28 | 5      |
| 1          | 2019-03-01 | 2019-03-22 | 20     |
| 2          | 2019-02-01 | 2019-02-20 | 15     |
| 2          | 2019-02-21 | 2019-03-31 | 30     |
+------------+------------+------------+--------+
UnitsSold table:
+------------+---------------+-------+
| product_id | purchase_date | units |
+------------+---------------+-------+
| 1          | 2019-02-25    | 100   |
| 1          | 2019-03-01    | 15    |
| 2          | 2019-02-10    | 200   |
| 2          | 2019-03-22    | 30    |
+------------+---------------+-------+
Output:
 
+------------+---------------+
| product_id | average_price |
+------------+---------------+
| 1          | 6.96          |
| 2          | 16.96         |
+------------+---------------+
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

My Solution:

First: calculate the price of product corresponding to their purchase date

Second: group by to sum all price of product and take average based on the units of products sold

select t.product_id, round(sum(t.total)/sum(t.units),2) as 'average_price'
from (select p.product_id, start_date, end_date, price*units as 'total', units
      from Prices p inner join UnitsSold u
      where p.product_id=u.product_id and u.purchase_date>=p.start_date 
      and u.purchase_date<=p.end_date) t
group by t.product_id