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https://gitee.com/coder-xiaomo/leetcode-problemset
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93 lines
8.9 KiB
JSON
93 lines
8.9 KiB
JSON
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"question": {
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"questionId": "1278",
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"questionFrontendId": "1164",
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"categoryTitle": "Database",
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"boundTopicId": 33161,
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"title": "Product Price at a Given Date",
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"titleSlug": "product-price-at-a-given-date",
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"content": "<p>Table: <code>Products</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| product_id | int |\n| new_price | int |\n| change_date | date |\n+---------------+---------+\n(product_id, change_date) is the primary key (combination of columns with unique values) of this table.\nEach row of this table indicates that the price of some product was changed to a new price at some date.</pre>\n\n<p> </p>\n\n<p>Write a solution to find the prices of all products on <code>2019-08-16</code>. Assume the price of all products before any change is <code>10</code>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nProducts table:\n+------------+-----------+-------------+\n| product_id | new_price | change_date |\n+------------+-----------+-------------+\n| 1 | 20 | 2019-08-14 |\n| 2 | 50 | 2019-08-14 |\n| 1 | 30 | 2019-08-15 |\n| 1 | 35 | 2019-08-16 |\n| 2 | 65 | 2019-08-17 |\n| 3 | 20 | 2019-08-18 |\n+------------+-----------+-------------+\n<strong>Output:</strong> \n+------------+-------+\n| product_id | price |\n+------------+-------+\n| 2 | 50 |\n| 1 | 35 |\n| 3 | 10 |\n+------------+-------+\n</pre>\n",
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"translatedTitle": "指定日期的产品价格",
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"translatedContent": "<p>产品数据表: <code>Products</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| product_id | int |\n| new_price | int |\n| change_date | date |\n+---------------+---------+\n(product_id, change_date) 是此表的主键(具有唯一值的列组合)。\n这张表的每一行分别记录了 某产品 在某个日期 更改后 的新价格。</pre>\n\n<p> </p>\n\n<p>编写一个解决方案,找出在 <code>2019-08-16</code><strong> </strong>时全部产品的价格,假设所有产品在修改前的价格都是 <code>10</code><strong> 。</strong></p>\n\n<p>以 <strong>任意顺序 </strong>返回结果表。</p>\n\n<p>结果格式如下例所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入:</strong>\nProducts 表:\n+------------+-----------+-------------+\n| product_id | new_price | change_date |\n+------------+-----------+-------------+\n| 1 | 20 | 2019-08-14 |\n| 2 | 50 | 2019-08-14 |\n| 1 | 30 | 2019-08-15 |\n| 1 | 35 | 2019-08-16 |\n| 2 | 65 | 2019-08-17 |\n| 3 | 20 | 2019-08-18 |\n+------------+-----------+-------------+\n<strong>输出:</strong>\n+------------+-------+\n| product_id | price |\n+------------+-------+\n| 2 | 50 |\n| 1 | 35 |\n| 3 | 10 |\n+------------+-------+</pre>\n",
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"name": "Database",
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"code": "# Write your MySQL query statement below",
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"code": "/* Write your T-SQL query statement below */",
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */",
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},
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"lang": "Pandas",
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"code": "import pandas as pd\n\ndef price_at_given_date(products: pd.DataFrame) -> pd.DataFrame:\n ",
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"lang": "PostgreSQL",
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"sampleTestCase": "{\"headers\":{\"Products\":[\"product_id\",\"new_price\",\"change_date\"]},\"rows\":{\"Products\":[[1,20,\"2019-08-14\"],[2,50,\"2019-08-14\"],[1,30,\"2019-08-15\"],[1,35,\"2019-08-16\"],[2,65,\"2019-08-17\"],[3,20,\"2019-08-18\"]]}}",
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"metaData": "{\"mysql\":[\"Create table If Not Exists Products (product_id int, new_price int, change_date date)\"],\"mssql\":[\"Create table Products (product_id int, new_price int, change_date date)\"],\"oraclesql\":[\"Create table Products (product_id int, new_price int, change_date date)\",\"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"],\"database\":true,\"name\":\"price_at_given_date\",\"pythondata\":[\"Products = pd.DataFrame([], columns=['product_id', 'new_price', 'change_date']).astype({'product_id':'Int64', 'new_price':'Int64', 'change_date':'datetime64[ns]'})\"],\"postgresql\":[\"\\nCreate table If Not Exists Products (product_id int, new_price int, change_date date)\"],\"database_schema\":{\"Products\":{\"product_id\":\"INT\",\"new_price\":\"INT\",\"change_date\":\"DATE\"}}}",
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"Create table If Not Exists Products (product_id int, new_price int, change_date date)",
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"Truncate table Products",
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"insert into Products (product_id, new_price, change_date) values ('1', '20', '2019-08-14')",
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"insert into Products (product_id, new_price, change_date) values ('2', '50', '2019-08-14')",
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"insert into Products (product_id, new_price, change_date) values ('1', '30', '2019-08-15')",
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"insert into Products (product_id, new_price, change_date) values ('1', '35', '2019-08-16')",
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"insert into Products (product_id, new_price, change_date) values ('2', '65', '2019-08-17')",
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"insert into Products (product_id, new_price, change_date) values ('3', '20', '2019-08-18')"
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"style": "LEETCODE",
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"exampleTestcases": "{\"headers\":{\"Products\":[\"product_id\",\"new_price\",\"change_date\"]},\"rows\":{\"Products\":[[1,20,\"2019-08-14\"],[2,50,\"2019-08-14\"],[1,30,\"2019-08-15\"],[1,35,\"2019-08-16\"],[2,65,\"2019-08-17\"],[3,20,\"2019-08-18\"]]}}",
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