我的交易中有2张桌子
表一
@Override
public void onClick(View view) {
switch (view.getId())
{
case R.id.btn_back:
Operations.playsound("tab");
finish();
break;
}
}
表二
cmd.exe "/K" "C:\Users\aboufira\AppData\Local\Continuum\miniconda3\Scripts\activate.bat" "C:\Users\aboufira\AppData\Local\Continuum\miniconda3\envs\pandas-dev"
如何根据请求在一个月内计算上述两个表中的总交易量。 例如,请求在5月进行总交易,因此结果如下所示
id | date | cust_id | driver_number
1 2019-01-02 1 F 3350 NN
2 2019-04-02 2 AX 111 Z
3 2019-05-02 3 S 787 X
4 2019-05-02 4 T 9090 M
5 2019-06-02 3 P 8989 L
谢谢
答案 0 :(得分:0)
使用MONTH(T1.date) = 5
和SUM(price)
可以达到预期的结果
SELECT MONTH(T1.date) AS Period, SUM(price) AS `Total`
FROM TableOne T1
JOIN TableTwo T2 ON T2.driver_number = T1.driver_number
WHERE MONTH(T1.date) = 5
GROUP BY MONTH(T1.date)