mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
synced 2025-01-10 18:48:13 +08:00
91 lines
9.0 KiB
JSON
91 lines
9.0 KiB
JSON
{
|
|
"data": {
|
|
"question": {
|
|
"questionId": "1292",
|
|
"questionFrontendId": "1174",
|
|
"boundTopicId": null,
|
|
"title": "Immediate Food Delivery II",
|
|
"titleSlug": "immediate-food-delivery-ii",
|
|
"content": "<p>Table: <code>Delivery</code></p>\n\n<pre>\n+-----------------------------+---------+\n| Column Name | Type |\n+-----------------------------+---------+\n| delivery_id | int |\n| customer_id | int |\n| order_date | date |\n| customer_pref_delivery_date | date |\n+-----------------------------+---------+\ndelivery_id is the column of unique values of this table.\nThe table holds information about food delivery to customers that make orders at some date and specify a preferred delivery date (on the same order date or after it).\n</pre>\n\n<p> </p>\n\n<p>If the customer's preferred delivery date is the same as the order date, then the order is called <strong>immediate;</strong> otherwise, it is called <strong>scheduled</strong>.</p>\n\n<p>The <strong>first order</strong> of a customer is the order with the earliest order date that the customer made. It is guaranteed that a customer has precisely one first order.</p>\n\n<p>Write a solution to find the percentage of immediate orders in the first orders of all customers, <strong>rounded to 2 decimal places</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> \nDelivery table:\n+-------------+-------------+------------+-----------------------------+\n| delivery_id | customer_id | order_date | customer_pref_delivery_date |\n+-------------+-------------+------------+-----------------------------+\n| 1 | 1 | 2019-08-01 | 2019-08-02 |\n| 2 | 2 | 2019-08-02 | 2019-08-02 |\n| 3 | 1 | 2019-08-11 | 2019-08-12 |\n| 4 | 3 | 2019-08-24 | 2019-08-24 |\n| 5 | 3 | 2019-08-21 | 2019-08-22 |\n| 6 | 2 | 2019-08-11 | 2019-08-13 |\n| 7 | 4 | 2019-08-09 | 2019-08-09 |\n+-------------+-------------+------------+-----------------------------+\n<strong>Output:</strong> \n+----------------------+\n| immediate_percentage |\n+----------------------+\n| 50.00 |\n+----------------------+\n<strong>Explanation:</strong> \nThe customer id 1 has a first order with delivery id 1 and it is scheduled.\nThe customer id 2 has a first order with delivery id 2 and it is immediate.\nThe customer id 3 has a first order with delivery id 5 and it is scheduled.\nThe customer id 4 has a first order with delivery id 7 and it is immediate.\nHence, half the customers have immediate first orders.\n</pre>\n",
|
|
"translatedTitle": null,
|
|
"translatedContent": null,
|
|
"isPaidOnly": false,
|
|
"difficulty": "Medium",
|
|
"likes": 523,
|
|
"dislikes": 89,
|
|
"isLiked": null,
|
|
"similarQuestions": "[]",
|
|
"exampleTestcases": "{\"headers\":{\"Delivery\":[\"delivery_id\",\"customer_id\",\"order_date\",\"customer_pref_delivery_date\"]},\"rows\":{\"Delivery\":[[1,1,\"2019-08-01\",\"2019-08-02\"],[2,2,\"2019-08-02\",\"2019-08-02\"],[3,1,\"2019-08-11\",\"2019-08-12\"],[4,3,\"2019-08-24\",\"2019-08-24\"],[5,3,\"2019-08-21\",\"2019-08-22\"],[6,2,\"2019-08-11\",\"2019-08-13\"],[7,4,\"2019-08-09\",\"2019-08-09\"]]}}",
|
|
"categoryTitle": "Database",
|
|
"contributors": [],
|
|
"topicTags": [
|
|
{
|
|
"name": "Database",
|
|
"slug": "database",
|
|
"translatedName": null,
|
|
"__typename": "TopicTagNode"
|
|
}
|
|
],
|
|
"companyTagStats": null,
|
|
"codeSnippets": [
|
|
{
|
|
"lang": "MySQL",
|
|
"langSlug": "mysql",
|
|
"code": "# Write your MySQL query statement below\n",
|
|
"__typename": "CodeSnippetNode"
|
|
},
|
|
{
|
|
"lang": "MS SQL Server",
|
|
"langSlug": "mssql",
|
|
"code": "/* Write your T-SQL query statement below */\n",
|
|
"__typename": "CodeSnippetNode"
|
|
},
|
|
{
|
|
"lang": "Oracle",
|
|
"langSlug": "oraclesql",
|
|
"code": "/* Write your PL/SQL query statement below */\n",
|
|
"__typename": "CodeSnippetNode"
|
|
},
|
|
{
|
|
"lang": "Pandas",
|
|
"langSlug": "pythondata",
|
|
"code": "import pandas as pd\n\ndef immediate_food_delivery(delivery: pd.DataFrame) -> pd.DataFrame:\n ",
|
|
"__typename": "CodeSnippetNode"
|
|
},
|
|
{
|
|
"lang": "PostgreSQL",
|
|
"langSlug": "postgresql",
|
|
"code": "-- Write your PostgreSQL query statement below\n",
|
|
"__typename": "CodeSnippetNode"
|
|
}
|
|
],
|
|
"stats": "{\"totalAccepted\": \"80.5K\", \"totalSubmission\": \"158.4K\", \"totalAcceptedRaw\": 80518, \"totalSubmissionRaw\": 158449, \"acRate\": \"50.8%\"}",
|
|
"hints": [],
|
|
"solution": null,
|
|
"status": null,
|
|
"sampleTestCase": "{\"headers\":{\"Delivery\":[\"delivery_id\",\"customer_id\",\"order_date\",\"customer_pref_delivery_date\"]},\"rows\":{\"Delivery\":[[1,1,\"2019-08-01\",\"2019-08-02\"],[2,2,\"2019-08-02\",\"2019-08-02\"],[3,1,\"2019-08-11\",\"2019-08-12\"],[4,3,\"2019-08-24\",\"2019-08-24\"],[5,3,\"2019-08-21\",\"2019-08-22\"],[6,2,\"2019-08-11\",\"2019-08-13\"],[7,4,\"2019-08-09\",\"2019-08-09\"]]}}",
|
|
"metaData": "{\"mysql\": [\"Create table If Not Exists Delivery (delivery_id int, customer_id int, order_date date, customer_pref_delivery_date date)\"], \"mssql\": [\"Create table Delivery (delivery_id int, customer_id int, order_date date, customer_pref_delivery_date date)\"], \"oraclesql\": [\"Create table Delivery (delivery_id int, customer_id int, order_date date, customer_pref_delivery_date date)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"immediate_food_delivery\", \"pythondata\": [\"Delivery = pd.DataFrame([], columns=['delivery_id', 'customer_id', 'order_date', 'customer_pref_delivery_date']).astype({'delivery_id':'Int64', 'customer_id':'Int64', 'order_date':'datetime64[ns]', 'customer_pref_delivery_date':'datetime64[ns]'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Delivery (delivery_id int, customer_id int, order_date date, customer_pref_delivery_date date)\"], \"database_schema\": {\"Delivery\": {\"delivery_id\": \"INT\", \"customer_id\": \"INT\", \"order_date\": \"DATE\", \"customer_pref_delivery_date\": \"DATE\"}}}",
|
|
"judgerAvailable": true,
|
|
"judgeType": "large",
|
|
"mysqlSchemas": [
|
|
"Create table If Not Exists Delivery (delivery_id int, customer_id int, order_date date, customer_pref_delivery_date date)",
|
|
"Truncate table Delivery",
|
|
"insert into Delivery (delivery_id, customer_id, order_date, customer_pref_delivery_date) values ('1', '1', '2019-08-01', '2019-08-02')",
|
|
"insert into Delivery (delivery_id, customer_id, order_date, customer_pref_delivery_date) values ('2', '2', '2019-08-02', '2019-08-02')",
|
|
"insert into Delivery (delivery_id, customer_id, order_date, customer_pref_delivery_date) values ('3', '1', '2019-08-11', '2019-08-12')",
|
|
"insert into Delivery (delivery_id, customer_id, order_date, customer_pref_delivery_date) values ('4', '3', '2019-08-24', '2019-08-24')",
|
|
"insert into Delivery (delivery_id, customer_id, order_date, customer_pref_delivery_date) values ('5', '3', '2019-08-21', '2019-08-22')",
|
|
"insert into Delivery (delivery_id, customer_id, order_date, customer_pref_delivery_date) values ('6', '2', '2019-08-11', '2019-08-13')",
|
|
"insert into Delivery (delivery_id, customer_id, order_date, customer_pref_delivery_date) values ('7', '4', '2019-08-09', '2019-08-09')"
|
|
],
|
|
"enableRunCode": true,
|
|
"enableTestMode": false,
|
|
"enableDebugger": false,
|
|
"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>\"]}",
|
|
"libraryUrl": null,
|
|
"adminUrl": null,
|
|
"challengeQuestion": null,
|
|
"__typename": "QuestionNode"
|
|
}
|
|
}
|
|
} |