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<p>Table: <code>Products</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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| store1      | int     |
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| store2      | int     |
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| store3      | int     |
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+-------------+---------+
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product_id is the primary key for this table.
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Each row in this table indicates the product's price in 3 different stores: store1, store2, and store3.
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If the product is not available in a store, the price will be null in that store's column.
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</pre>
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<p> </p>
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<p>Write an SQL query to rearrange the <code>Products</code> table so that each row has <code>(product_id, store, price)</code>. If a product is not available in a store, do <strong>not</strong> include a row with that <code>product_id</code> and <code>store</code> combination in the result table.</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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Products table:
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+------------+--------+--------+--------+
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| product_id | store1 | store2 | store3 |
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+------------+--------+--------+--------+
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| 0          | 95     | 100    | 105    |
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| 1          | 70     | null   | 80     |
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+------------+--------+--------+--------+
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<strong>Output:</strong> 
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+------------+--------+-------+
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| product_id | store  | price |
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+------------+--------+-------+
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| 0          | store1 | 95    |
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| 0          | store2 | 100   |
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| 0          | store3 | 105   |
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| 1          | store1 | 70    |
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| 1          | store3 | 80    |
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+------------+--------+-------+
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<strong>Explanation:</strong> 
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Product 0 is available in all three stores with prices 95, 100, and 105 respectively.
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Product 1 is available in store1 with price 70 and store3 with price 80. The product is not available in store2.
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</pre>
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