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Formatted question description: https://leetcode.ca/all/1173.html
1173. Immediate Food Delivery I
Level
Easy
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 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 preferred delivery date of the customer is the same as the order date then the order is called immediate otherwise it’s called scheduled.
Write an SQL query to find the percentage of immediate orders in the table, rounded to 2 decimal places.
The query result format is in the following example:
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 |
+-------------+-------------+------------+-----------------------------+
Result table:
+----------------------+
| immediate_percentage |
+----------------------+
| 33.33 |
+----------------------+
The orders with delivery id 2 and 3 are immediate while the others are scheduled.
Solution
Count the number of entries where order_date is equal to customer_pref_delivery_date, and divide the number of entries by the total number of entries. Use round to round the result to 2 decimal places.
# Write your MySQL query statement below
select ifnull(
round(
(select count(*) from Delivery where order_date = customer_pref_delivery_date)
/
(count(delivery_id)) * 100
, 2)
, 0
) as immediate_percentage from Delivery;