查询,以获得最新的日期时间为2列单独
问题描述:
create table Orders
(
city varchar(5)
,orderid int
,OrderedDateTime datetime
,ThresholdDatetime datetime
)
insert into Orders values ('Texas',23,'2017-08-24 12:20:56.560','2017-08-24 20:00:23.000')
insert into Orders values ('Texas',23,'2017-08-24 13:20:45.560','2017-08-24 22:20:23.000')
insert into Orders values ('Texas',23,'2017-08-24 16:20:45.560','2017-08-24 20:00:23.000')
insert into Orders values ('Texas',23,'2017-08-24 17:20:23.560','2017-08-24 22:00:23.000')
insert into Orders values ('Texas',23,'2017-08-23 12:20:23.560','2017-08-23 14:00:23.000')
insert into Orders values ('Texas',23,'2017-08-23 13:20:23.560','2017-08-23 21:20:23.000')
insert into Orders values ('Texas',23,'2017-08-23 16:20:23.560','2017-08-23 20:00:23.000')
insert into Orders values ('Texas',23,'2017-08-23 18:20:23.560','2017-08-23 20:00:23.000')
insert into Orders values ('Texas',23,'2017-08-22 12:20:23.560','2017-08-22 14:00:23.000')
insert into Orders values ('Texas',23,'2017-08-22 13:20:23.560','2017-08-22 21:20:23.000')
insert into Orders values ('Texas',23,'2017-08-22 16:20:23.560','2017-08-22 20:00:23.000')
insert into Orders values ('Texas',23,'2017-08-22 19:20:23.560','2017-08-22 20:00:23.000')
要求是让从“orderedDateTime”列最新datetime和最新的日期时间从“ThresholdDateTime”一栏,应返回一个记录每个如输出图像中所述。 我已经有一个解决方案,但求比我更好的答案,因为我觉得我的查询是有性能问题
select city,orderid, max(OrderedDateTime) as MaxOrderedDateTime ,max(ThresholdDatetime) as MaxThresholdTime
,day(ThresholdDatetime) as [UniqueDay]
from dbo.Orders
where OrderedDateTime<=ThresholdDatetime
and convert(date,OrderedDateTime)=convert(date,ThresholdDatetime)
group by city,orderid,day(ThresholdDatetime)
答
尝试编码这样的...
SELECT
o.city,
o.orderid,
MaxOrderedDateTime = MAX(o.OrderedDateTime),
MaxThresholdTime = MAX(o.ThresholdDatetime)
FROM
#Orders o
GROUP BY
o.city,
o.orderid,
CAST(o.OrderedDateTime AS DATE);
为什么你认为你查询有性能问题?您的查询似乎正确地返回您正在查找的数据。 –
您是否收到任何类型的错误? – kazzi
如果您的数据超过1个月,则该查询将返回错误的输出,因为日期的输出(ThresholdDatetime)将在30天后重复。因此,您需要根据您拥有的数据量,在分组依据子句中选择Month(ThresholdDatetime)和Year(ThresholdDatetime)。 –