返回其他列中最大的列的总和

Question

我有这样的疑问：

select
    Customer as Customer,
    siteId,
    pos,
    week,
    sum(Inventory) as totalInventory,
    sum(Amount) as totalAmount
from Uploads
WHERE Year = 2022
group by Customer, week, siteId, pos;

并返回类似这样的内容：

客户	站点ID	位置	周	总库存	总金额
客户A	id00A1	位置A1	1	67	50
客户A	id00A2	posA2	1	75	45
客户A	id00A3	posA3	1	98	88
客户B	id00B1	posB1	1	67	50
客户C	id00C1	posC1	1	67	50
客户C	id00C2	posC2	1	75	45
客户B	id00B1	posB1	2	67	50
客户C	id00C1	posC1	2	67	50
客户C	id00C2	posC2	2	75	45
客户B	id00B1	posB1	3	67	50

但是我想根据客户了解上周的数据，而不是每周的数据。像这样的东西：

客户	站点ID	位置	周	总库存	总金额
客户A	id00A1	位置A1	1	67	50
客户A	id00A2	posA2	1	75	45
客户A	id00A3	posA3	1	98	88
客户C	id00C1	posC1	2	67	50
客户C	id00C2	posC2	2	75	45
客户B	id00B1	posB1	3	67	50

我的查询中缺少什么？

我尝试了以下查询：

select
    Customer as Customer,
    siteId,
    pos,
    max(week),
    sum(Inventory) as totalInventory,
    sum(Amount) as totalAmount
from Uploads
WHERE Year = 2022
group by Customer, week, siteId, pos;

select
    Customer as Customer,
    siteId,
    pos,
    max(week),
    sum(Inventory) as totalInventory,
    sum(Amount) as totalAmount
from Uploads
WHERE Year = 2022
group by Customer, week, siteId, pos
having max(week);

但仍然有相同的结果。

创建表是：

CREATE TABLE Uploads ( 
   id int, 
   Year int, 
   Week int, 
   Division varchar(255), 
   ProductGroupID varchar(255), 
   Country varchar(255), 
   Customer varchar(255), 
   POS varchar(255), 
   SiteID varchar(255), 
   Brand varchar(255), 
   Product varchar(255), 
   Inventory int NOT NULL, 
   SoldUnits int NOT NULL, 
   Amount float NOT NULL )

Answer 1

我们可以使用子查询来查找每个客户的最新一周。

select
    c Customer,
    SiteId,
    pos,
    Week,
    sum(inventory) TotalInventory,
    sum(amount) TotalAmount
from 
    (select
         customer c,
         year y,
         max(week) w
     from 
         Uploads
     where 
         year = 2022
     group by customer) lastWeek
join 
    Uploads on c = customer
            and y = year and w = week
group by
    c, SiteId, pos, week

客户	站点 ID	位置	周	总库存	总金额
客户A	00A1	位置A1	1	67	50
客户A	00A2	posA2	1	75	45
客户A	00A3	posA3	1	98	88
客户B	00B1	posB1	3	67	50
客户C	00C1	posC1	2	67	50
客户C	00C2	posC2	2	75	45

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