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			75 lines
		
	
	
		
			2.6 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
			
		
		
	
	
			75 lines
		
	
	
		
			2.6 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
<p>Table: <code>Product</code></p>
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<pre>
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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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Each row of this table indicates the name and the price of each product.
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</pre>
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<p>Table: <code>Sales</code></p>
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<pre>
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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 the Product table.
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Each row of this table contains some information about one sale.
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</pre>
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<p> </p>
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<p>Write an SQL query that reports the <strong>products</strong> that were <strong>only</strong> sold in the spring of <code>2019</code>. That is, between <code>2019-01-01</code> and <code>2019-03-31</code> inclusive.</p>
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<p>Return the result table in <strong>any order</strong>.</p>
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<p>The query result format is in the following example.</p>
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<p> </p>
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<p><strong>Example 1:</strong></p>
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<pre>
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<strong>Input:</strong> 
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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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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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<strong>Output:</strong> 
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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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<strong>Explanation:</strong> 
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The product with id 1 was only sold in the spring of 2019.
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The product with id 2 was sold in the spring of 2019 but was also sold after the spring of 2019.
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The product with id 3 was sold after spring 2019.
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We return only product 1 as it is the product that was only sold in the spring of 2019.
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</pre>
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