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1205. 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。
状态列是枚举类型,值为 [approved、declined] 其中之一的列。

Chargebacks

+----------------+---------+
| Column Name    | Type    |
+----------------+---------+
| trans_id       | int     |
| trans_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(reference 列)。
每项退单都对应于之前进行的交易,即使未经批准。

 

编写一个解决方案,找出每个国家/地区的每月交易信息: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:在你的解决方案中,只需显示给定月份和国家,忽略所有为零的行。

任意顺序 返回结果表。

结果格式如下所示。

 

示例 1:

输入:
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 |
+----------+------------+
输出:
+---------+---------+----------------+-----------------+------------------+-------------------+
| 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              |
+---------+---------+----------------+-----------------+------------------+-------------------+

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# Write your MySQL query statement below

mysql 解法, 执行用时: 513 ms, 内存消耗: 0 B, 提交时间: 2023-10-16 14:24:11

# Write your MySQL query statement below
SELECT month, country,
COUNT(IF(tag=1, 1, NULL)) AS approved_count,
SUM(IF(tag=1, amount, 0)) AS approved_amount,
COUNT(IF(tag=0, 1, NULL)) AS chargeback_count,
SUM(IF(tag=0, amount, 0)) AS chargeback_amount
FROM (
    SELECT country, amount, 1 AS tag,
    date_format(trans_date, '%Y-%m') AS month
    FROM Transactions
    WHERE state='approved'
    
    UNION ALL

    SELECT country, amount, 0 AS tag,
    date_format(c.trans_date, '%Y-%m') AS month
    FROM Transactions AS t RIGHT OUTER JOIN Chargebacks AS c
    ON t.id = c.trans_id
) AS temp
GROUP BY  month, country;

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