1205.(Medium)每月交易II
Transactions 记录表
+----------------+---------+
| Column Name | Type |
+----------------+---------+
| id | int |
| country | varchar |
| state | enum |
| amount | int |
| trans_date | date |
+----------------+---------+
id 是这个表的主键。
该表包含有关传入事务的信息。
状态列是类型为 [approved(已批准)、declined(已拒绝)] 的枚举。
Chargebacks 表
+----------------+---------+
| Column Name | Type |
+----------------+---------+
| trans_id | int |
| charge_date | date |
+----------------+---------+
退单包含有关放置在事务表中的某些事务的传入退单的基本信息。
trans_id 是 transactions 表的 id 列的外键。
每项退单都对应于之前进行的交易,即使未经批准。
编写一个 SQL 查询,以查找每个月和每个国家/地区的已批准交易的数量及其总金额、退单的数量及其总金额。
注意:在您的查询中,给定月份和国家,忽略所有为零的行。
查询结果格式如下所示:
Transactions 表:
+------+---------+----------+--------+------------+
| id | country | state | amount | trans_date |
+------+---------+----------+--------+------------+
| 101 | US | approved | 1000 | 2019-05-18 |
| 102 | US | declined | 2000 | 2019-05-19 |
| 103 | US | approved | 3000 | 2019-06-10 |
| 104 | US | declined | 4000 | 2019-06-13 |
| 105 | US | approved | 5000 | 2019-06-15 |
+------+---------+----------+--------+------------+
Chargebacks 表:
+------------+------------+
| trans_id | trans_date |
+------------+------------+
| 102 | 2019-05-29 |
| 101 | 2019-06-30 |
| 105 | 2019-09-18 |
+------------+------------+
Result 表:
+----------+---------+----------------+-----------------+-------------------+--------------------+
| month | country | approved_count | approved_amount | chargeback_count | chargeback_amount |
+----------+---------+----------------+-----------------+-------------------+--------------------+
| 2019-05 | US | 1 | 1000 | 1 | 2000 |
| 2019-06 | US | 2 | 8000 | 1 | 1000 |
| 2019-09 | US | 0 | 0 | 1 | 5000 |
+----------+---------+----------------+-----------------+-------------------+--------------------+
来源:力扣(LeetCode)
链接:https://leetcode-cn.com/problems/monthly-transactions-ii
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Solution
记得剔除“declined”相关行,否则结果会出现某月某国四个数据全是0。
SELECT LEFT(trans_date,7) `month`
, country
, sum(state = 'approved') approved_count
, sum(if(state = 'approved',amount,0)) approved_amount
, sum(state = 'chargeback') chargeback_count
, sum(if(state = 'chargeback',amount,0)) chargeback_amount
FROM
(
SELECT * FROM Transactions
union
SELECT trans_id, Country, 'chargeback' state, amount, c.trans_date FROM Chargebacks c LEFT JOIN Transactions t on c.trans_id=t.id
) a
where state != 'declined'
GROUP BY LEFT(trans_date,7), country;
Schema
create table if not exists Transactions (id int, country varchar(4), state enum('approved', 'declined'), amount int, trans_date date);
create table if not exists Chargebacks (trans_id int, trans_date date);
Truncate table Transactions;
insert into Transactions (id, country, state, amount, trans_date) values ('101', 'US', 'approved', '1000', '2019-05-18');
insert into Transactions (id, country, state, amount, trans_date) values ('102', 'US', 'declined', '2000', '2019-05-19');
insert into Transactions (id, country, state, amount, trans_date) values ('103', 'US', 'approved', '3000', '2019-06-10');
insert into Transactions (id, country, state, amount, trans_date) values ('104', 'US', 'declined', '4000', '2019-06-13');
insert into Transactions (id, country, state, amount, trans_date) values ('105', 'US', 'approved', '5000', '2019-06-15');
Truncate table Chargebacks;
insert into Chargebacks (trans_id, trans_date) values ('102', '2019-05-29');
insert into Chargebacks (trans_id, trans_date) values ('101', '2019-06-30');
insert into Chargebacks (trans_id, trans_date) values ('105', '2019-09-18');
insert into Transactions (id, country, state, amount, trans_date) values ('100',"CB","declined",'4000',"2019-02-04");
insert into Transactions (id, country, state, amount, trans_date) values ('101',"BB","approved",'7000',"2019-02-17");
insert into Transactions (id, country, state, amount, trans_date) values ('102',"CA","declined",'6000',"2019-02-26");
insert into Transactions (id, country, state, amount, trans_date) values ('103',"AA","declined",'7000',"2019-04-01");
insert into Chargebacks (trans_id, trans_date) values ('100', "2019-03-29");
insert into Chargebacks (trans_id, trans_date) values ('102', "2019-02-28");
insert into Chargebacks (trans_id, trans_date) values ('103', "2019-05-09");
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