这里有一个很好的解决方案:

CREATE function [dbo].[inLineMax] (@v1 float,@v2 float,@v3 float,@v4 float)
returns float
as
begin
declare @val float
set @val = 0 
declare @TableVal table
(value float )
insert into @TableVal select @v1
insert into @TableVal select @v2
insert into @TableVal select @v3
insert into @TableVal select @v4

select @val= max(value) from @TableVal

return @val
end 

还有3种方法，其中UNPIVOT(1)是目前为止最快的，其次是模拟UNPIVOT(3)，它比(1)慢得多，但仍然比(2)快得多

CREATE TABLE dates
    (
      number INT PRIMARY KEY ,
      date1 DATETIME ,
      date2 DATETIME ,
      date3 DATETIME ,
      cost INT
    )

INSERT  INTO dates
VALUES  ( 1, '1/1/2008', '2/4/2008', '3/1/2008', 10 )
INSERT  INTO dates
VALUES  ( 2, '1/2/2008', '2/3/2008', '3/3/2008', 20 )
INSERT  INTO dates
VALUES  ( 3, '1/3/2008', '2/2/2008', '3/2/2008', 30 )
INSERT  INTO dates
VALUES  ( 4, '1/4/2008', '2/1/2008', '3/4/2008', 40 )
GO

解决方案1 (UNPIVOT)

SELECT  number ,
        MAX(dDate) maxDate ,
        cost
FROM    dates UNPIVOT ( dDate FOR nDate IN ( Date1, Date2,
                                            Date3 ) ) as u
GROUP BY number ,
        cost 
GO

解决方案2(每行子查询)

SELECT  number ,
        ( SELECT    MAX(dDate) maxDate
          FROM      ( SELECT    d.date1 AS dDate
                      UNION
                      SELECT    d.date2
                      UNION
                      SELECT    d.date3
                    ) a
        ) MaxDate ,
        Cost
FROM    dates d
GO

方案3(模拟UNPIVOT)

;WITH    maxD
          AS ( SELECT   number ,
                        MAX(CASE rn
                              WHEN 1 THEN Date1
                              WHEN 2 THEN date2
                              ELSE date3
                            END) AS maxDate
               FROM     dates a
                        CROSS JOIN ( SELECT 1 AS rn
                                     UNION
                                     SELECT 2
                                     UNION
                                     SELECT 3
                                   ) b
               GROUP BY Number
             )
    SELECT  dates.number ,
            maxD.maxDate ,
            dates.cost
    FROM    dates
            INNER JOIN MaxD ON dates.number = maxD.number
GO

DROP TABLE dates
GO

这是一个古老的答案，在很多方面都有问题。

请参阅https://stackoverflow.com/a/6871572/194653，它有更多的赞，与sql server 2008+一起工作，并处理空值等。

原创但有问题的答案:

你可以使用CASE语句:

SELECT
    CASE
        WHEN Date1 >= Date2 AND Date1 >= Date3 THEN Date1
        WHEN Date2 >= Date1 AND Date2 >= Date3 THEN Date2
        WHEN Date3 >= Date1 AND Date3 >= Date2 THEN Date3
        ELSE                                        Date1
    END AS MostRecentDate

我不知道它是否在SQL上，等等…在M$ACCESS帮助中，有一个称为MAXA(Value1;Value2;…)的函数，它应该这样做。

希望能帮助到别人。

p.d.:值可以是列或计算值，等等。

这里有一个很好的解决方案:

CREATE function [dbo].[inLineMax] (@v1 float,@v2 float,@v3 float,@v4 float)
returns float
as
begin
declare @val float
set @val = 0 
declare @TableVal table
(value float )
insert into @TableVal select @v1
insert into @TableVal select @v2
insert into @TableVal select @v3
insert into @TableVal select @v4

select @val= max(value) from @TableVal

return @val
end 

Scalar Function cause all sorts of performance issues, so its better to wrap the logic into an Inline Table Valued Function if possible. This is the function I used to replace some User Defined Functions which selected the Min/Max dates from a list of upto ten dates. When tested on my dataset of 1 Million rows the Scalar Function took over 15 minutes before I killed the query the Inline TVF took 1 minute which is the same amount of time as selecting the resultset into a temporary table. To use this call the function from either a subquery in the the SELECT or a CROSS APPLY.

CREATE FUNCTION dbo.Get_Min_Max_Date
(
    @Date1  datetime,
    @Date2  datetime,
    @Date3  datetime,
    @Date4  datetime,
    @Date5  datetime,
    @Date6  datetime,
    @Date7  datetime,
    @Date8  datetime,
    @Date9  datetime,
    @Date10 datetime
)
RETURNS TABLE
AS
RETURN
(
    SELECT      Max(DateValue)  Max_Date,
                Min(DateValue)  Min_Date
    FROM        (
                    VALUES  (@Date1),
                            (@Date2),
                            (@Date3),
                            (@Date4),
                            (@Date5),
                            (@Date6),
                            (@Date7),
                            (@Date8),
                            (@Date9),
                            (@Date10)
                )   AS Dates(DateValue)
)