以您有限的示例数据为例,这样的工作可以完成,尽管它并不漂亮:
declare @deals table(
deal_id int,
status_id int,
created_at datetime
)
insert into @deals values
(1,1,'2021-05-12 18:54:00.000'),
(1,2,'2021-05-13 13:34:00.000'),
(1,3,'2021-05-17 14:39:00.000'),
(1,2,'2021-05-18 09:24:00.000'),
(1,3,'2021-05-18 09:24:00.000'),
(1,4,'2021-05-18 10:27:00.000'),
(1,5,'2021-05-19 13:00:00.000'),
(1,4,'2021-05-19 13:00:00.000'),
(1,5,'2021-05-24 08:06:00.000'),
(2,1,'2021-05-14 17:31:00.000')
select
status_id,
cast(avg(datediff(minute,cast(created_at as date),created_at))/60 as varchar(2)) + ':' + right('0' + cast(avg(datediff(minute,cast(created_at as date),created_at)) - ((avg(datediff(minute,cast(created_at as date),created_at))/60)*60) as varchar(2)),2) as averageTime
from @deals
group by status_id
order by status_id
你会得到这些结果: