如何在几列的最大值中每行返回1个值:
的表
[Number, Date1, Date2, Date3, Cost]
我需要返回这样的东西:
[Number, Most_Recent_Date, Cost]
查询?
如何在几列的最大值中每行返回1个值:
的表
[Number, Date1, Date2, Date3, Cost]
我需要返回这样的东西:
[Number, Most_Recent_Date, Cost]
查询?
当前回答
如果您正在使用SQL Server 2005,您可以使用UNPIVOT特性。下面是一个完整的例子:
create table dates
(
number int,
date1 datetime,
date2 datetime,
date3 datetime
)
insert into dates values (1, '1/1/2008', '2/4/2008', '3/1/2008')
insert into dates values (1, '1/2/2008', '2/3/2008', '3/3/2008')
insert into dates values (1, '1/3/2008', '2/2/2008', '3/2/2008')
insert into dates values (1, '1/4/2008', '2/1/2008', '3/4/2008')
select max(dateMaxes)
from (
select
(select max(date1) from dates) date1max,
(select max(date2) from dates) date2max,
(select max(date3) from dates) date3max
) myTable
unpivot (dateMaxes For fieldName In (date1max, date2max, date3max)) as tblPivot
drop table dates
其他回答
请尝试使用UNPIVOT:
SELECT MAX(MaxDt) MaxDt
FROM tbl
UNPIVOT
(MaxDt FOR E IN
(Date1, Date2, Date3)
)AS unpvt;
您可以创建一个函数,其中传递日期,然后将该函数添加到select语句,如下所示。 select Number, dbo.fxMost_Recent_Date(Date1,Date2,Date3),成本
create FUNCTION fxMost_Recent_Date
( @Date1 smalldatetime, @Date2 smalldatetime, @Date3 smalldatetime ) 返回smalldatetime 作为 开始 DECLARE @Result smalldatetime
declare @MostRecent smalldatetime
set @MostRecent='1/1/1900'
if @Date1>@MostRecent begin set @MostRecent=@Date1 end
if @Date2>@MostRecent begin set @MostRecent=@Date2 end
if @Date3>@MostRecent begin set @MostRecent=@Date3 end
RETURN @MostRecent
END
如果你正在使用MySQL或PostgreSQL或Oracle或BigQuery,你可以使用
SELECT GREATEST(col1, col2 ...) FROM table
不幸的是,拉斯的答案虽然看似显而易见,但却有一个关键的缺陷。它不能处理NULL值。任何一个NULL值都会返回Date1。不幸的是,任何试图解决这个问题的尝试往往会变得非常混乱,并且不能很好地扩展到4或更多的值。
Databyss的第一个答案看起来(现在也是)不错。但是,不清楚答案是否可以轻易地从多表连接中推断出3个值,而不是从单个表中推断出3个值。我想避免将这样的查询变成子查询,只是为了得到最多3列,而且我非常确定databyss的优秀想法可以被清理一点。
废话不多说,下面是我的解决方案(源自databyss的想法)。 它使用交叉连接选择常量来模拟多表连接的效果。需要注意的重要一点是,所有必要的别名都可以正确地执行(并非总是如此),这使得模式非常简单,并且可以通过额外的列进行相当的可伸缩性。
DECLARE @v1 INT ,
@v2 INT ,
@v3 INT
--SET @v1 = 1 --Comment out SET statements to experiment with
--various combinations of NULL values
SET @v2 = 2
SET @v3 = 3
SELECT ( SELECT MAX(Vals)
FROM ( SELECT v1 AS Vals
UNION
SELECT v2
UNION
SELECT v3
) tmp
WHERE Vals IS NOT NULL -- This eliminates NULL warning
) AS MaxVal
FROM ( SELECT @v1 AS v1
) t1
CROSS JOIN ( SELECT @v2 AS v2
) t2
CROSS JOIN ( SELECT @v3 AS v3
) t3
我更喜欢基于case-when的解决方案,我的假设是,与其他可能的解决方案(如交叉应用、values()、自定义函数等)相比,它对可能的性能下降的影响应该最小。
下面是case-when版本,它在大多数可能的测试用例中处理空值:
SELECT
CASE
WHEN Date1 > coalesce(Date2,'0001-01-01') AND Date1 > coalesce(Date3,'0001-01-01') THEN Date1
WHEN Date2 > coalesce(Date3,'0001-01-01') THEN Date2
ELSE Date3
END AS MostRecentDate
, *
from
(values
( 1, cast('2001-01-01' as Date), cast('2002-01-01' as Date), cast('2003-01-01' as Date))
,( 2, cast('2001-01-01' as Date), cast('2003-01-01' as Date), cast('2002-01-01' as Date))
,( 3, cast('2002-01-01' as Date), cast('2001-01-01' as Date), cast('2003-01-01' as Date))
,( 4, cast('2002-01-01' as Date), cast('2003-01-01' as Date), cast('2001-01-01' as Date))
,( 5, cast('2003-01-01' as Date), cast('2001-01-01' as Date), cast('2002-01-01' as Date))
,( 6, cast('2003-01-01' as Date), cast('2002-01-01' as Date), cast('2001-01-01' as Date))
,( 11, cast(NULL as Date), cast('2002-01-01' as Date), cast('2003-01-01' as Date))
,( 12, cast(NULL as Date), cast('2003-01-01' as Date), cast('2002-01-01' as Date))
,( 13, cast('2003-01-01' as Date), cast(NULL as Date), cast('2002-01-01' as Date))
,( 14, cast('2002-01-01' as Date), cast(NULL as Date), cast('2003-01-01' as Date))
,( 15, cast('2003-01-01' as Date), cast('2002-01-01' as Date), cast(NULL as Date))
,( 16, cast('2002-01-01' as Date), cast('2003-01-01' as Date), cast(NULL as Date))
,( 21, cast('2003-01-01' as Date), cast(NULL as Date), cast(NULL as Date))
,( 22, cast(NULL as Date), cast('2003-01-01' as Date), cast(NULL as Date))
,( 23, cast(NULL as Date), cast(NULL as Date), cast('2003-01-01' as Date))
,( 31, cast(NULL as Date), cast(NULL as Date), cast(NULL as Date))
) as demoValues(id, Date1,Date2,Date3)
order by id
;
结果是:
MostRecent id Date1 Date2 Date3
2003-01-01 1 2001-01-01 2002-01-01 2003-01-01
2003-01-01 2 2001-01-01 2003-01-01 2002-01-01
2003-01-01 3 2002-01-01 2001-01-01 2002-01-01
2003-01-01 4 2002-01-01 2003-01-01 2001-01-01
2003-01-01 5 2003-01-01 2001-01-01 2002-01-01
2003-01-01 6 2003-01-01 2002-01-01 2001-01-01
2003-01-01 11 NULL 2002-01-01 2003-01-01
2003-01-01 12 NULL 2003-01-01 2002-01-01
2003-01-01 13 2003-01-01 NULL 2002-01-01
2003-01-01 14 2002-01-01 NULL 2003-01-01
2003-01-01 15 2003-01-01 2002-01-01 NULL
2003-01-01 16 2002-01-01 2003-01-01 NULL
2003-01-01 21 2003-01-01 NULL NULL
2003-01-01 22 NULL 2003-01-01 NULL
2003-01-01 23 NULL NULL 2003-01-01
NULL 31 NULL NULL NULL