我传递了两个日期,需要按照这两个日期对结果进行分组,但是因为我收到错误而无法执行此操作
消息164,级别15,状态1,行24每个GROUP BY表达式必须 包含至少一个不是外部引用的列。
查询如下:
declare @sd datetime ='2012-07-01 00:00:00.000' ,
@ed datetime ='2012-09-30 00:00:00.000' ;
select @sd,@ed,
count(i.id)as count,
sum(case when oi.rating <50 then 1 else 0 end) as unfav,
sum(case when oi.Rating =50 then 1 else 0 end) as neu,
sum(case when oi.Rating >50 then 1 else 0 end) as fav,
avg(oi.Rating)as 'Av Rating'
from Items i (nolock)
inner join ItemOrganisations oi (nolock) on i.ID= oi.ItemID
inner join Lookup_ItemTypes it (nolock) on it.ID = i.ItemTypeID
inner join Batches b (nolock) on b.ID=i.BatchID
inner join Lookup_ItemStatus lis (nolock) on lis.ID = i.StatusID
inner join Lookup_BatchStatus lbs (nolock) on lbs.ID = b.StatusID
inner join Lookup_BatchTypes bt on bt.id = b.Typeid
where lbs.Name = 'Completed by Analyst' or lbs.Name='Delivered/Imported into Neptune Online'
and lis.Name = 'Complete'
and i.IsRelevant = 1
and bt.Name = 'Live'
group by @sd,@ed
having i.OverrideDate between @sd and @ed
如果我不按此分组是我得到的结果是错误的:
2011-01-01 00:00:00.000 2011-01-31 00:00:00.000 1 0 0 1 55
2011-01-01 00:00:00.000 2011-01-31 00:00:00.000 7 1 0 1 50
2011-01-01 00:00:00.000 2011-01-31 00:00:00.000 7 1 0 0 20
2011-01-01 00:00:00.000 2011-01-31 00:00:00.000 1 0 0 0 NULL
2011-01-01 00:00:00.000 2011-01-31 00:00:00.000 8 1 0 6 66
2011-01-01 00:00:00.000 2011-01-31 00:00:00.000 1 1 0 0 10
2011-02-01 00:00:00.000 2011-02-28 00:00:00.000 1 0 0 1 55
2011-02-01 00:00:00.000 2011-02-28 00:00:00.000 7 1 0 1 50
2011-02-01 00:00:00.000 2011-02-28 00:00:00.000 7 1 0 0 20
2011-02-01 00:00:00.000 2011-02-28 00:00:00.000 1 0 0 0 NULL
2011-02-01 00:00:00.000 2011-02-28 00:00:00.000 8 1 0 6 66
2011-02-01 00:00:00.000 2011-02-28 00:00:00.000 1 1 0 0 10
2011-03-01 00:00:00.000 2011-03-31 00:00:00.000 1 0 0 1 55
2011-03-01 00:00:00.000 2011-03-31 00:00:00.000 7 1 0 1 50
2011-03-01 00:00:00.000 2011-03-31 00:00:00.000 7 1 0 0 20
2011-03-01 00:00:00.000 2011-03-31 00:00:00.000 1 0 0 0 NULL
2011-03-01 00:00:00.000 2011-03-31 00:00:00.000 8 1 0 6 66
2011-03-01 00:00:00.000 2011-03-31 00:00:00.000 1 1 0 0 10
2011-04-01 00:00:00.000 2011-04-30 00:00:00.000 1 0 0 1 55
2011-04-01 00:00:00.000 2011-04-30 00:00:00.000 7 1 0 1 50
2011-04-01 00:00:00.000 2011-04-30 00:00:00.000 7 1 0 0 20
答案 0 :(得分:2)
您的查询正如所写,正在尝试按常量表达式进行分组。我想你可以把最后两行改为:
and i.OverrideDate between @sd and @ed
group by
语句是不必要的。您只返回一行,因此将汇总所有行。
如果由于某种原因需要包含group by
(例如这是自动生成的代码),那么你可以使用如下的技巧:
group by (case when OverrideDate = OverrideDate then @sd end),
(case when OverrideDate = OverrideDate then @ed end)
但在这种情况下,我猜这是不必要的。
答案 1 :(得分:0)
我不确定您为什么在这里使用group by
和 having
条款。我认为你可以将where子句简化为;
where lbs.Name in ('Completed by Analyst',
'Delivered/Imported into Neptune Online')
and lis.Name = 'Complete'
and bt.Name = 'Live'
and i.IsRelevant = 1
and i.OverrideDate between @sd and @ed