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        "question": {
            "questionId": "1390",
            "questionFrontendId": "1251",
            "categoryTitle": "Database",
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            "title": "Average Selling Price",
            "titleSlug": "average-selling-price",
            "content": "<p>Table: <code>Prices</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name   | Type    |\n+---------------+---------+\n| product_id    | int     |\n| start_date    | date    |\n| end_date      | date    |\n| price         | int     |\n+---------------+---------+\n(product_id, start_date, end_date) is the primary key (combination of columns with unique values) for this table.\nEach row of this table indicates the price of the product_id in the period from start_date to end_date.\nFor each product_id there will be no two overlapping periods. That means there will be no two intersecting periods for the same product_id.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Table: <code>UnitsSold</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name   | Type    |\n+---------------+---------+\n| product_id    | int     |\n| purchase_date | date    |\n| units         | int     |\n+---------------+---------+\nThis table may contain duplicate rows.\nEach row of this table indicates the date, units, and product_id of each product sold. \n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find the average selling price for each product. <code>average_price</code> should be <strong>rounded to 2 decimal places</strong>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The&nbsp;result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nPrices table:\n+------------+------------+------------+--------+\n| product_id | start_date | end_date   | price  |\n+------------+------------+------------+--------+\n| 1          | 2019-02-17 | 2019-02-28 | 5      |\n| 1          | 2019-03-01 | 2019-03-22 | 20     |\n| 2          | 2019-02-01 | 2019-02-20 | 15     |\n| 2          | 2019-02-21 | 2019-03-31 | 30     |\n+------------+------------+------------+--------+\nUnitsSold table:\n+------------+---------------+-------+\n| product_id | purchase_date | units |\n+------------+---------------+-------+\n| 1          | 2019-02-25    | 100   |\n| 1          | 2019-03-01    | 15    |\n| 2          | 2019-02-10    | 200   |\n| 2          | 2019-03-22    | 30    |\n+------------+---------------+-------+\n<strong>Output:</strong> \n+------------+---------------+\n| product_id | average_price |\n+------------+---------------+\n| 1          | 6.96          |\n| 2          | 16.96         |\n+------------+---------------+\n<strong>Explanation:</strong> \nAverage selling price = Total Price of Product / Number of products sold.\nAverage selling price for product 1 = ((100 * 5) + (15 * 20)) / 115 = 6.96\nAverage selling price for product 2 = ((200 * 15) + (30 * 30)) / 230 = 16.96\n</pre>\n",
            "translatedTitle": "平均售价",
            "translatedContent": "<p>表：<code>Prices</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name   | Type    |\n+---------------+---------+\n| product_id    | int     |\n| start_date    | date    |\n| end_date      | date    |\n| price         | int     |\n+---------------+---------+\n(product_id，start_date，end_date) 是 <code>prices</code> 表的主键（具有唯一值的列的组合）。\n<code>prices</code> 表的每一行表示的是某个产品在一段时期内的价格。\n每个产品的对应时间段是不会重叠的，这也意味着同一个产品的价格时段不会出现交叉。</pre>\n\n<p>&nbsp;</p>\n\n<p>表：<code>UnitsSold</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name   | Type    |\n+---------------+---------+\n| product_id    | int     |\n| purchase_date | date    |\n| units         | int     |\n+---------------+---------+\n<span style=\"white-space: pre-wrap;\">该表可能包含重复数据</span>。\n<span style=\"white-space: pre-wrap;\">该</span>表的每一行表示的是每种产品的出售日期，单位和产品 id。</pre>\n\n<p>&nbsp;</p>\n\n<p>编写解决方案以查找每种产品的平均售价。<code>average_price</code> 应该 <strong>四舍五入到小数点后两位</strong>。</p>\n\n<p>返回结果表 <strong>无顺序要求</strong> 。</p>\n\n<p>结果格式如下例所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例 1：</strong></p>\n\n<pre>\n<strong>输入：</strong>\nPrices table:\n+------------+------------+------------+--------+\n| product_id | start_date | end_date   | price  |\n+------------+------------+------------+--------+\n| 1          | 2019-02-17 | 2019-02-28 | 5      |\n| 1          | 2019-03-01 | 2019-03-22 | 20     |\n| 2          | 2019-02-01 | 2019-02-20 | 15     |\n| 2          | 2019-02-21 | 2019-03-31 | 30     |\n+------------+------------+------------+--------+\nUnitsSold table:\n+------------+---------------+-------+\n| product_id | purchase_date | units |\n+------------+---------------+-------+\n| 1          | 2019-02-25    | 100   |\n| 1          | 2019-03-01    | 15    |\n| 2          | 2019-02-10    | 200   |\n| 2          | 2019-03-22    | 30    |\n+------------+---------------+-------+\n<strong>输出：</strong>\n+------------+---------------+\n| product_id | average_price |\n+------------+---------------+\n| 1          | 6.96          |\n| 2          | 16.96         |\n+------------+---------------+\n<strong>解释：</strong>\n平均售价 = 产品总价 / 销售的产品数量。\n产品 1 的平均售价 = ((100 * 5)+(15 * 20) )/ 115 = 6.96\n产品 2 的平均售价 = ((200 * 15)+(30 * 30) )/ 230 = 16.96</pre>\n",
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                "Truncate table Prices",
                "insert into Prices (product_id, start_date, end_date, price) values ('1', '2019-02-17', '2019-02-28', '5')",
                "insert into Prices (product_id, start_date, end_date, price) values ('1', '2019-03-01', '2019-03-22', '20')",
                "insert into Prices (product_id, start_date, end_date, price) values ('2', '2019-02-01', '2019-02-20', '15')",
                "insert into Prices (product_id, start_date, end_date, price) values ('2', '2019-02-21', '2019-03-31', '30')",
                "Truncate table UnitsSold",
                "insert into UnitsSold (product_id, purchase_date, units) values ('1', '2019-02-25', '100')",
                "insert into UnitsSold (product_id, purchase_date, units) values ('1', '2019-03-01', '15')",
                "insert into UnitsSold (product_id, purchase_date, units) values ('2', '2019-02-10', '200')",
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