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refactor 1173
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database/_1173.sql

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--1173. Immediate Food Delivery I
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--
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--Table: Delivery
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--+-----------------------------+---------+
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--| Column Name | Type |
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--+-----------------------------+---------+
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--| delivery_id | int |
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--| customer_id | int |
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--| order_date | date |
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--| customer_pref_delivery_date | date |
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--+-----------------------------+---------+
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--delivery_id is the primary key of this table.
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--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).
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--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.
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--
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--Write an SQL query to find the percentage of immediate orders in the table, rounded to 2 decimal places.
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--The query result format is in the following example:
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--Delivery table:
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--+-------------+-------------+------------+-----------------------------+
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--| delivery_id | customer_id | order_date | customer_pref_delivery_date |
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--+-------------+-------------+------------+-----------------------------+
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--| 1 | 1 | 2019-08-01 | 2019-08-02 |
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--| 2 | 5 | 2019-08-02 | 2019-08-02 |
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--| 3 | 1 | 2019-08-11 | 2019-08-11 |
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--| 4 | 3 | 2019-08-24 | 2019-08-26 |
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--| 5 | 4 | 2019-08-21 | 2019-08-22 |
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--| 6 | 2 | 2019-08-11 | 2019-08-13 |
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--+-------------+-------------+------------+-----------------------------+
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--
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--Result table:
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--+----------------------+
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--| immediate_percentage |
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--+----------------------+
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--| 33.33 |
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--+----------------------+
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--The orders with delivery id 2 and 3 are immediate while the others are scheduled.
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# Write your MySQL query statement below
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select round(
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(
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100 * (select count(*) from Delivery d where d.order_date = d.customer_pref_delivery_date)/

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