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1173. Immediate Food Delivery I
Description
Table: Delivery
+-----------------------------+---------+ | Column Name | Type | +-----------------------------+---------+ | delivery_id | int | | customer_id | int | | order_date | date | | customer_pref_delivery_date | date | +-----------------------------+---------+ delivery_id is the primary key (column with unique values) of this table. The 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).
If the customer's preferred delivery date is the same as the order date, then the order is called immediate; otherwise, it is called scheduled.
Write a solution to find the percentage of immediate orders in the table, rounded to 2 decimal places.
The result format is in the following example.
Example 1:
Input: Delivery table: +-------------+-------------+------------+-----------------------------+ | delivery_id | customer_id | order_date | customer_pref_delivery_date | +-------------+-------------+------------+-----------------------------+ | 1 | 1 | 2019-08-01 | 2019-08-02 | | 2 | 5 | 2019-08-02 | 2019-08-02 | | 3 | 1 | 2019-08-11 | 2019-08-11 | | 4 | 3 | 2019-08-24 | 2019-08-26 | | 5 | 4 | 2019-08-21 | 2019-08-22 | | 6 | 2 | 2019-08-11 | 2019-08-13 | +-------------+-------------+------------+-----------------------------+ Output: +----------------------+ | immediate_percentage | +----------------------+ | 33.33 | +----------------------+ Explanation: The orders with delivery id 2 and 3 are immediate while the others are scheduled.
Solutions
Solution 1: Sum
We can use the sum function to count the number of instant orders, and then divide it by the total number of orders. Since the problem requires a percentage, we need to multiply by 100. Finally, we can use the round function to keep two decimal places.
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# Write your MySQL query statement below SELECT ROUND(SUM(order_date = customer_pref_delivery_date) / COUNT(1) * 100, 2) AS immediate_percentage FROM Delivery;