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- -- 1084. Sales Analysis III
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- --
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- -- Table: Product
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- --
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- -- +--------------+---------+
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- -- | Column Name | Type |
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- -- +--------------+---------+
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- -- | product_id | int |
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- -- | product_name | varchar |
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- -- | unit_price | int |
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- -- +--------------+---------+
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- -- product_id is the primary key of this table.
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- -- Table: Sales
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- --
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- -- +-------------+---------+
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- -- | Column Name | Type |
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- -- +-------------+---------+
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- -- | seller_id | int |
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- -- | product_id | int |
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- -- | buyer_id | int |
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- -- | sale_date | date |
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- -- | quantity | int |
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- -- | price | int |
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- -- +------ ------+---------+
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- -- This table has no primary key, it can have repeated rows.
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- -- product_id is a foreign key to Product table.
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- --
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- --
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- -- Write an SQL query that reports the products that were only sold in spring 2019. That is, between 2019-01-01 and 2019-03-31 inclusive.
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- --
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- -- The query result format is in the following example:
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- --
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- -- Product table:
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- -- +------------+--------------+------------+
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- -- | product_id | product_name | unit_price |
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- -- +------------+--------------+------------+
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- -- | 1 | S8 | 1000 |
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- -- | 2 | G4 | 800 |
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- -- | 3 | iPhone | 1400 |
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- -- +------------+--------------+------------+
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- --
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- -- Sales table:
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- -- +-----------+------------+----------+------------+----------+-------+
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- -- | seller_id | product_id | buyer_id | sale_date | quantity | price |
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- -- +-----------+------------+----------+------------+----------+-------+
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- -- | 1 | 1 | 1 | 2019-01-21 | 2 | 2000 |
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- -- | 1 | 2 | 2 | 2019-02-17 | 1 | 800 |
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- -- | 2 | 2 | 3 | 2019-06-02 | 1 | 800 |
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- -- | 3 | 3 | 4 | 2019-05-13 | 2 | 2800 |
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- -- +-----------+------------+----------+------------+----------+-------+
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- --
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- -- Result table:
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- -- +-------------+--------------+
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- -- | product_id | product_name |
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- -- +-------------+--------------+
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- -- | 1 | S8 |
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- -- +-------------+--------------+
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- -- The product with id 1 was only sold in spring 2019 while the other two were sold after.
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-
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- -- # Write your MySQL query statement below
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-
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select s .product_id , p .product_name from Sales s
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join Product p using(product_id)
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group by product_id
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- having min (s .sale_date ) >= ' 2019-01-01' and max (s .sale_date ) <= ' 2019-03-31 ' ;
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+ having min (s .sale_date ) >= ' 2019-01-01' and max (s .sale_date ) <= ' 2019-03-31 ' ;
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