Sql 查找“产生的总收入”；男"；“中的客户”；电子"；类别但产出应显示按产品分类的总收入

我加入了3个表格，以获得电子产品类别下每个子类别的总收入

select prod_subcat as subcat, sum(total_amt) as total_revenue
from transection
left join customer_details
  on transection.cust_id = customer_details.customer_ID
left join [dbo].[Product_cat_info]
  on [dbo].[transection].[prod_cat_code] = [dbo].[Product_cat_info].[Prod_Cat_cod]
where Gender like 'M' and prod_Cat in (
  select prod_Cat
  from [dbo].[Product_cat_info] 
  where prod_Cat like 'Electronics'
)
group by [prod_subcat]

但在产出方面，我没有得到每个子类别的具体收入，而是得到每个子类别的一个共同价值（电子产品类别产生的总收入）

select prod_subcat as subcat, sum(total_amt) as total_revenue
from transection
left join customer_details
  on transection.cust_id = customer_details.customer_ID
left join [dbo].[Product_cat_info]
  on [dbo].[transection].[prod_cat_code] = [dbo].[Product_cat_info].[Prod_Cat_cod]
where Gender like 'M' and prod_Cat in (
  select prod_Cat
  from [dbo].[Product_cat_info] 
  where prod_Cat like 'Electronics'
)
group by [prod_subcat]

我得到的输出是

     subcat               total_revenue

  Personal Appliances       5702069
  Mobiles                   5702069
  Computers                 5702069
  Audio and video           5702069
  Cameras                   5702069

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由于您已加入此表，请在中删除此子查询以导致更多重复，并首先替换此下面的查询。此外，请将prod_cat添加到group by

 prod_Cat in (select prod_Cat from [dbo]. 
  [Product_cat_info] 
  where prod_Cat like 'Electronics')

带有

和类似产品的“电子设备”

 SELECT prod_subcat as subcat,
    gender, 
    sum(total_amt) as total_revenue
    from tbl_Tran T1
    left join tbl_Cust C1
      on T1.cust_id = C1.customer_ID
    left join Prod_cat_info P1
      on T1.prod_cat_code = P1.prod_cat_code
      and T1.prod_subcat_code=P1.prod_sub_cat_code
    where Gender like 'M' and prod_Cat in (
      select prod_Cat
      from Prod_cat_info 
      where prod_Cat like 'Electronics'
    )
    group by prod_subcat,Gender

将tbl_tran替换为事务

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如果还不算太晚，我建议更改您的桌子名称。交易中没有字母“e”。还有，为什么像“M”这样使用？换成“M”怎么样。Like用于通配符搜索。当您知道想要的值时，应该使用=。为了在这方面真正有所帮助，我们需要一些细节

prod_Cat like‘Electronics’

应该是

prod_Cat=‘Electronics’

like是一项昂贵的操作；如果你确定prod_Cat=‘Electronics’就这样做。性别也一样。将帮助您更快地获得所需的结果集。您好，先生，我尝试了您建议的方法，但输出仍然相同。我知道您忘记在分组中添加产品类别了