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Copy path1193. Monthly Transactions I.sql
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1193. Monthly Transactions I.sql
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-- Question
-- +---------------+---------+
-- | Column Name | Type |
-- +---------------+---------+
-- | id | int |
-- | country | varchar |
-- | state | enum |
-- | amount | int |
-- | trans_date | date |
-- +---------------+---------+
-- id is the primary key of this table.
-- The table has information about incoming transactions.
-- The state column is an enum of type ["approved", "declined"].
-- Write an SQL query to find for each month and country, the number of transactions and their total amount, the number of approved transactions and their total amount.
-- Return the result table in any order.
-- The query result format is in the following example.
-- Example 1:
-- Input:
-- Transactions table:
-- +------+---------+----------+--------+------------+
-- | id | country | state | amount | trans_date |
-- +------+---------+----------+--------+------------+
-- | 121 | US | approved | 1000 | 2018-12-18 |
-- | 122 | US | declined | 2000 | 2018-12-19 |
-- | 123 | US | approved | 2000 | 2019-01-01 |
-- | 124 | DE | approved | 2000 | 2019-01-07 |
-- +------+---------+----------+--------+------------+
-- Output:
-- +----------+---------+-------------+----------------+--------------------+-----------------------+
-- | month | country | trans_count | approved_count | trans_total_amount | approved_total_amount |
-- +----------+---------+-------------+----------------+--------------------+-----------------------+
-- | 2018-12 | US | 2 | 1 | 3000 | 1000 |
-- | 2019-01 | US | 1 | 1 | 2000 | 2000 |
-- | 2019-01 | DE | 1 | 1 | 2000 | 2000 |
-- +----------+---------+-------------+----------------+--------------------+-----------------------+
-- Solution
select
date_format(trans_date, '%Y-%m') month,
country, count(id) trans_count,
count(case when state = 'approved' then 1 end) approved_count,
sum(amount) trans_total_amount,
sum(case when state = 'approved' then amount else 0 end) approved_total_amount
from Transactions
group by month, country;