leetcode-problemset/leetcode/originData/immediate-food-delivery-ii.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>&nbsp;</p>\n\n<p>If the customer&#39;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&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> \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"
        }
    }
}