我的解决方案也可以处理空值比较。它可以被简化为一个单一的查询，但为了解释，我使用CTE。这个想法是在第一步中减少从3个数字到2个数字的比较，然后在第二步中从2个数字到1个数字的比较。

with x1 as
(
  select 1 as N1, null as N2, 3 as N3
  union
  select 1 as N1, null as N2, null as N3
  union
  select null as N1, null as N2, null as N3
)
,x2 as
(
select 
N1,N2,N3,
IIF(Isnull(N1,0)>=Isnull(N2,0),N1,N2) as max1,
IIF(Isnull(N2,0)>=Isnull(N3,0),N2,N3) as max2
from x1
)
,x3 as
(
 select N1,N2,N3,max1,max2,
 IIF(IsNull(max1,0)>=IsNull(max2,0),max1,max2) as MaxNo
 from x2
)
select * from x3

输出:

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

基于http://www.experts-exchange.com/Microsoft/Development/MS-SQL-Server/Q_24204894.html的ScottPletcher的解决方案 我已经创建了一组函数(例如GetMaxOfDates3, GetMaxOfDates13)，以使用UNION ALL找到最多13个日期值。 参见T-SQL函数从同一行获取最大值 然而，在编写这些函数时，我还没有考虑过UNPIVOT解决方案

CREATE FUNCTION GetMaxOfDates13 (
@value01 DateTime = NULL,  
@value02 DateTime = NULL,
@value03 DateTime = NULL,
@value04 DateTime = NULL,
@value05 DateTime = NULL,
@value06 DateTime = NULL,
@value07 DateTime = NULL,
@value08 DateTime = NULL,
@value09 DateTime = NULL,
@value10 DateTime = NULL,
@value11 DateTime = NULL,
@value12 DateTime = NULL,
@value13 DateTime = NULL
)
RETURNS DateTime
AS
BEGIN
RETURN (
SELECT TOP 1 value
FROM (
SELECT @value01 AS value UNION ALL
SELECT @value02 UNION ALL
SELECT @value03 UNION ALL
SELECT @value04 UNION ALL
SELECT @value05 UNION ALL
SELECT @value06 UNION ALL
SELECT @value07 UNION ALL
SELECT @value08 UNION ALL
SELECT @value09 UNION ALL
SELECT @value10 UNION ALL
SELECT @value11 UNION ALL
SELECT @value12 UNION ALL
SELECT @value13
) AS [values]
ORDER BY value DESC    
)
END –FUNCTION
GO
CREATE FUNCTION GetMaxOfDates3 (
@value01 DateTime = NULL,  
@value02 DateTime = NULL,
@value03 DateTime = NULL
)
RETURNS DateTime
AS
BEGIN
RETURN dbo.GetMaxOfDates13(@value01,@value02,@value03,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL)
END –FUNCTION

最后，针对以下内容:

SQL Server 2022 (16.x)预览 Azure SQL数据库 Azure SQL托管实例

我们也可以用GREATEST。与其他T-SQL函数类似，这里有一些重要的注意事项:

如果所有参数都具有相同的数据类型，并且 的类型为 支持 进行比较， GREATEST将返回该类型; 否则， 函数 将隐式地将所有参数转换为 最高优先级 的数据类型进行比较，并使用 这个 类型 作为返回类型; 如果一个或多个参数不是NULL，那么NULL参数将在比较过程中被忽略;如果所有参数都为NULL，则GREATEST将返回NULL;

在GREATEST中不支持以下类型进行比较:varchar(max)、varbinary(max)或nvarchar(max)超过8,000字节、游标、几何、地理、图像、非字节顺序的用户定义类型、ntext、table、text和xml。

从SQL Server 2012我们可以使用IIF。

 DECLARE @Date1 DATE='2014-07-03';
 DECLARE @Date2 DATE='2014-07-04';
 DECLARE @Date3 DATE='2014-07-05';

 SELECT IIF(@Date1>@Date2,
        IIF(@Date1>@Date3,@Date1,@Date3),
        IIF(@Date2>@Date3,@Date2,@Date3)) AS MostRecentDate

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)
)