Table: Product
\n+--------------+---------+\n| Column Name | Type |\n+--------------+---------+\n| product_id | int |\n| product_name | varchar |\n| unit_price | int |\n+--------------+---------+\nproduct_id is the primary key (column with unique values) of this table.\nEach row of this table indicates the name and the price of each product.\n\n\n
Table: Sales
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| seller_id | int |\n| product_id | int |\n| buyer_id | int |\n| sale_date | date |\n| quantity | int |\n| price | int |\n+-------------+---------+\nThis table can have duplicate rows.\nproduct_id is a foreign key (reference column) to the Product table.\nEach row of this table contains some information about one sale.\n\n\n
\n\n
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.
\n\nThe result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \nProduct table:\n+------------+--------------+------------+\n| product_id | product_name | unit_price |\n+------------+--------------+------------+\n| 1 | S8 | 1000 |\n| 2 | G4 | 800 |\n| 3 | iPhone | 1400 |\n+------------+--------------+------------+\nSales table:\n+-----------+------------+----------+------------+----------+-------+\n| seller_id | product_id | buyer_id | sale_date | quantity | price |\n+-----------+------------+----------+------------+----------+-------+\n| 1 | 1 | 1 | 2019-01-21 | 2 | 2000 |\n| 1 | 2 | 2 | 2019-02-17 | 1 | 800 |\n| 2 | 2 | 3 | 2019-06-02 | 1 | 800 |\n| 3 | 3 | 4 | 2019-05-13 | 2 | 2800 |\n+-----------+------------+----------+------------+----------+-------+\nOutput: \n+-------------+--------------+\n| product_id | product_name |\n+-------------+--------------+\n| 1 | S8 |\n+-------------+--------------+\nExplanation: \nThe product with id 1 was only sold in the spring of 2019.\nThe product with id 2 was sold in the spring of 2019 but was also sold after the spring of 2019.\nThe product with id 3 was sold after spring 2019.\nWe return only product 1 as it is the product that was only sold in the spring of 2019.\n\n", "translatedTitle": "销售分析III", "translatedContent": "
表： Product
\n+--------------+---------+\n| Column Name | Type |\n+--------------+---------+\n| product_id | int |\n| product_name | varchar |\n| unit_price | int |\n+--------------+---------+\nproduct_id 是该表的主键（具有唯一值的列）。\n该表的每一行显示每个产品的名称和价格。\n\n\n
表：Sales
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| seller_id | int |\n| product_id | int |\n| buyer_id | int |\n| sale_date | date |\n| quantity | int |\n| price | int |\n+------ ------+---------+\n这个表可能有重复的行。\nproduct_id 是 Product 表的外键（reference 列）。\n该表的每一行包含关于一个销售的一些信息。\n\n\n
\n\n
编写解决方案，报告2019年春季才售出的产品。即仅在2019-01-01至2019-03-31（含）之间出售的商品。
以 任意顺序 返回结果表。
\n\n结果格式如下所示。
\n\n\n\n
示例 1:
\n\n\n输入：\nProduct table:\n+------------+--------------+------------+\n| product_id | product_name | unit_price |\n+------------+--------------+------------+\n| 1 | S8 | 1000 |\n| 2 | G4 | 800 |\n| 3 | iPhone | 1400 |\n+------------+--------------+------------+\nSales table:\n+-----------+------------+----------+------------+----------+-------+\n| seller_id | product_id | buyer_id | sale_date | quantity | price |\n+-----------+------------+----------+------------+----------+-------+\n| 1 | 1 | 1 | 2019-01-21 | 2 | 2000 |\n| 1 | 2 | 2 | 2019-02-17 | 1 | 800 |\n| 2 | 2 | 3 | 2019-06-02 | 1 | 800 |\n| 3 | 3 | 4 | 2019-05-13 | 2 | 2800 |\n+-----------+------------+----------+------------+----------+-------+\n输出：\n+-------------+--------------+\n| product_id | product_name |\n+-------------+--------------+\n| 1 | S8 |\n+-------------+--------------+\n解释:\nid 为 1 的产品仅在 2019 年春季销售。\nid 为 2 的产品在 2019 年春季销售，但也在 2019 年春季之后销售。\nid 为 3 的产品在 2019 年春季之后销售。\n我们只返回 id 为 1 的产品，因为它是 2019 年春季才销售的产品。\n",
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