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1084. Sales Analysis III

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Description

Table: Product

+--------------+---------+
| Column Name  | Type  |
+--------------+---------+
| product_id   | int   |
| product_name | varchar |
| unit_price   | int   |
+--------------+---------+
product_id is the primary key (column with unique values) of this table.
Each row of this table indicates the name and the price of each product.

Table: Sales

+-------------+---------+
| Column Name | Type  |
+-------------+---------+
| seller_id   | int   |
| product_id  | int   |
| buyer_id  | int   |
| sale_date   | date  |
| quantity  | int   |
| price     | int   |
+-------------+---------+
This table can have duplicate rows.
product_id is a foreign key (reference column) to the Product table.
Each row of this table contains some information about one sale.

 

Write a solution to report the products that were only sold in the first quarter of 2019. That is, between 2019-01-01 and 2019-03-31 inclusive.

Return the result table in any order.

The result format is in the following example.

 

Example 1:

Input: 
Product table:
+------------+--------------+------------+
| product_id | product_name | unit_price |
+------------+--------------+------------+
| 1      | S8       | 1000     |
| 2      | G4       | 800    |
| 3      | iPhone     | 1400     |
+------------+--------------+------------+
Sales table:
+-----------+------------+----------+------------+----------+-------+
| seller_id | product_id | buyer_id | sale_date  | quantity | price |
+-----------+------------+----------+------------+----------+-------+
| 1     | 1      | 1    | 2019-01-21 | 2    | 2000  |
| 1     | 2      | 2    | 2019-02-17 | 1    | 800   |
| 2     | 2      | 3    | 2019-06-02 | 1    | 800   |
| 3     | 3      | 4    | 2019-05-13 | 2    | 2800  |
+-----------+------------+----------+------------+----------+-------+
Output: 
+-------------+--------------+
| product_id  | product_name |
+-------------+--------------+
| 1       | S8       |
+-------------+--------------+
Explanation: 
The product with id 1 was only sold in the spring of 2019.
The product with id 2 was sold in the spring of 2019 but was also sold after the spring of 2019.
The product with id 3 was sold after spring 2019.
We return only product 1 as it is the product that was only sold in the spring of 2019.

Solutions

Solution 1

# Write your MySQL query statement below
SELECT product_id, product_name
FROM
  Sales
  JOIN Product USING (product_id)
GROUP BY 1
HAVING COUNT(1) = SUM(sale_date BETWEEN '2019-01-01' AND '2019-03-31');

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