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https://gitee.com/coder-xiaomo/leetcode-problemset
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97 lines
7.0 KiB
JSON
97 lines
7.0 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1278",
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"questionFrontendId": "1164",
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"boundTopicId": null,
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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": null,
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"translatedContent": null,
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"isPaidOnly": false,
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"difficulty": "Medium",
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"likes": 710,
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"similarQuestions": "[]",
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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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"categoryTitle": "Database",
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"contributors": [],
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"topicTags": [
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{
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"name": "Database",
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"slug": "database",
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"codeSnippets": [
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{
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"lang": "MySQL",
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"langSlug": "mysql",
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"code": "# Write your MySQL query statement below\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "MS SQL Server",
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"langSlug": "mssql",
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"code": "/* Write your T-SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Oracle",
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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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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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below\n",
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"__typename": "CodeSnippetNode"
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}
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],
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"stats": "{\"totalAccepted\": \"77.1K\", \"totalSubmission\": \"137.8K\", \"totalAcceptedRaw\": 77074, \"totalSubmissionRaw\": 137826, \"acRate\": \"55.9%\"}",
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"hints": [],
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"solution": {
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"id": "1621",
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"__typename": "ArticleNode"
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},
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"status": null,
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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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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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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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],
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": false,
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"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
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"libraryUrl": null,
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"__typename": "QuestionNode"
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}
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} |