Sales analysis iii

#
# 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.
#

# Write your MySQL query statement below

SELECT p.product_id, p.product_name
FROM Product p
JOIN Sales s ON p.product_id = s.product_id
GROUP BY p.product_id, p.product_name
HAVING MIN(s.sale_date) >= '2019-01-01' AND MAX(s.sale_date) <= '2019-03-31';