问题描述
关于此问题()我有两个表 orders
和 order_items 代码>.我需要按天分组结果.但是我还需要每天从另一张表中获取
energy_used
的总和.当我尝试使用联接进行尝试时,我每天都会得到错误的 order_sum
(它们没有被累加).不知道我在做什么错.
With reference to this question (How to get the sum in a joined table when using group by - getting wrong results) I have two tables orders
and order_items
. I need to group the results by days. But I also need to get the sum of energy_used
for each day from another table. When I try that using a join, I get wrong order_sum
for each day (they are not being summed up). Not sure what I am doing wrong.
我想每天得到
- 当天创建的所有订单的
order_items.energy_used
之和 - 当天创建的所有订单的
orders.order_sum
之和 - 与当天创建的最新
order
相对应的created_at
和order_sum
- the sum of
order_items.energy_used
for all orders created that day - the sum of
orders.order_sum
for all orders created that day - the
created_at
andorder_sum
that correspond to the latestorder
created on that day
这是我的 orders
表
+----+-----------+---------+---------------------+
| id | order_sum | user_id | created_at |
+----+-----------+---------+---------------------+
| 1 | 25.13 | 7 | 2020-01-25 09:13:00 |
| 2 | 10.00 | 7 | 2020-01-25 15:23:00 |
| 3 | 14.00 | 5 | 2020-01-26 10:14:00 |
| 4 | 35.00 | 1 | 2020-01-27 11:13:00 |
+----+-----------+---------+---------------------+
这是我的 order_items
表
+----+----------+-------------+---------------------+
| id | order_id | energy_used | created_at |
+----+----------+-------------+---------------------+
| 1 | 1 | 65 | 2020-01-25 09:13:00 |
| 2 | 1 | 12 | 2020-01-25 09:13:00 |
| 3 | 2 | 70 | 2020-01-26 10:14:00 |
| 4 | 2 | 5 | 2020-01-26 10:14:00 |
| 5 | 3 | 0 | 2020-01-27 11:13:00 |
+----+----------+-------------+---------------------+
这是我想要达到的预期结果
And this is the desired result that I am trying to achieve
+---------------+-----------------+-------------------+---------------------+----------------+
| date_of_month | total_order_sum | total_energy_used | last_order_date | last_order_sum |
+---------------+-----------------+-------------------+---------------------+----------------+
| 2020-01-25 | 35.13 | 77 | 2020-01-25 09:13:00 | 25.13 |
| 2020-01-26 | 14.00 | 75 | 2020-01-26 10:14:00 | 14.00 |
| 2020-01-27 | 35.00 | 0 | 2020-01-27 11:13:00 | 35.00 |
+---------------+-----------------+-------------------+---------------------+----------------+
这是我尝试过的查询,但结果不正确,order_sum没有正确计算.它显示与 last_order_sum
And here is the query that I have tried but I'm getting wrong results, the order_sum is not being calculated correctly. It is showing the same as last_order_sum
select
date(o.created_at) date_of_month,
i.total_energy_used,
o.created_at last_order_date,
o.order_sum last_order_sum,
sum(order_sum) as total_order_sum
from orders o
inner join (
select date(o1.created_at) date_of_month, sum(i1.energy_used) total_energy_used
from orders o1
inner join order_items i1 on o1.id = i1.order_id
group by date(o1.created_at)
) i on i.date_of_month = date(o.created_at)
where o.created_at = (
select max(o1.created_at)
from orders o1
where date(o1.created_at) = date(o.created_at)
)
这是一个小提琴: https://dbfiddle.uk/?rdbms=mysql_5.6&fiddle=92b8cc2920ad9f7a7cd/a>
Here is a fiddle:https://dbfiddle.uk/?rdbms=mysql_5.6&fiddle=92b8cc2920ad9f7a7cdd56bded5a3bf2
推荐答案
始终将表之间的关系(在这种情况下为orders.id和order_items.order_id)连接在一起,然后进行分组.为了避免在加入时将多个order_sums的order_sums重复,请先按order_id将order_items分组.
Always join tables together on their relationships (in this case orders.id with order_items.order_id) and then group. to avoid duplicating order_sums for multiple order_items when joining, first group order_items by order_id.
select
date(o.created_at) date_of_month,
sum(i.total_energy_used),
max(o.created_at),
sum(order_sum) as total_order_sum
from orders o
inner join (
select order_id, sum(total_energy_used) total_energy_used
from order_items i
group by order_id
) i on o.id = i.order_id
group by date(o.created_at)
从现在开始,您可以再次对具有max(o.created_at)的订单进行联接,以获取最后一个订单的order_sum.故事的寓意:关注您的粒度.
from this point onwards you can do a join again on orders with max(o.created_at) to get the order_sum of the last order.moral of the story: keep an eye on your granularity.
这篇关于通过内部联接使用分组方式时得到错误的总和的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!