leetcode-problemset/leetcode/originData/sales-analysis-iii.json

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        "question": {
            "questionId": "1174",
            "questionFrontendId": "1084",
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            "title": "Sales Analysis III",
            "titleSlug": "sales-analysis-iii",
            "content": "<p>Table: <code>Product</code></p>\n\n<pre>\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 of this table.\nEach row of this table indicates the name and the price of each product.\n</pre>\n\n<p>Table: <code>Sales</code></p>\n\n<pre>\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 has no primary key, it can have repeated rows.\nproduct_id is a foreign key to the Product table.\nEach row of this table contains some information about one sale.\n</pre>\n\n<p>&nbsp;</p>\n\n<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>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The query result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \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<strong>Output:</strong> \n+-------------+--------------+\n| product_id  | product_name |\n+-------------+--------------+\n| 1           | S8           |\n+-------------+--------------+\n<strong>Explanation:</strong> \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</pre>\n",
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            "difficulty": "Easy",
            "likes": 184,
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            "similarQuestions": "[{\"title\": \"Sales Analysis II\", \"titleSlug\": \"sales-analysis-ii\", \"difficulty\": \"Easy\", \"translatedTitle\": null}]",
            "exampleTestcases": "{\"headers\":{\"Product\":[\"product_id\",\"product_name\",\"unit_price\"],\"Sales\":[\"seller_id\",\"product_id\",\"buyer_id\",\"sale_date\",\"quantity\",\"price\"]},\"rows\":{\"Product\":[[1,\"S8\",1000],[2,\"G4\",800],[3,\"iPhone\",1400]],\"Sales\":[[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]]}}",
            "categoryTitle": "Database",
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                {
                    "lang": "MySQL",
                    "langSlug": "mysql",
                    "code": "# Write your MySQL query statement below\n",
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                {
                    "lang": "MS SQL Server",
                    "langSlug": "mssql",
                    "code": "/* Write your T-SQL query statement below */\n",
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                    "lang": "Oracle",
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            "sampleTestCase": "{\"headers\":{\"Product\":[\"product_id\",\"product_name\",\"unit_price\"],\"Sales\":[\"seller_id\",\"product_id\",\"buyer_id\",\"sale_date\",\"quantity\",\"price\"]},\"rows\":{\"Product\":[[1,\"S8\",1000],[2,\"G4\",800],[3,\"iPhone\",1400]],\"Sales\":[[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]]}}",
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                "Create table If Not Exists Product (product_id int, product_name varchar(10), unit_price int)",
                "Create table If Not Exists Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)",
                "Truncate table Product",
                "insert into Product (product_id, product_name, unit_price) values ('1', 'S8', '1000')",
                "insert into Product (product_id, product_name, unit_price) values ('2', 'G4', '800')",
                "insert into Product (product_id, product_name, unit_price) values ('3', 'iPhone', '1400')",
                "Truncate table Sales",
                "insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('1', '1', '1', '2019-01-21', '2', '2000')",
                "insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('1', '2', '2', '2019-02-17', '1', '800')",
                "insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('2', '2', '3', '2019-06-02', '1', '800')",
                "insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('3', '3', '4', '2019-05-13', '2', '2800')"
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