对于上面关于大数字的答案，你可以在加减法之前做乘法。它有点笨重，但不需要石膏。(我不能说速度，但我认为它仍然非常快)

选择0.5*((@val1+@val2)+ ABS(@val1 - @val2)

更改

选择 @val1*0.5+@val2*0.5 + ABS（@val1*0.5 - @val2*0.5）

如果你想避免强制转换，至少有一个替代方案。

SELECT o.OrderID
CASE WHEN o.NegotiatedPrice > o.SuggestedPrice THEN
 o.NegotiatedPrice
ELSE
 o.SuggestedPrice
END AS Price

这里有一个案例示例，应该处理null，并将与旧版本的MSSQL一起工作。这是基于一个流行例子中的内联函数:

case
  when a >= b then a
  else isnull(b,a)
end

我可能不会这样做，因为它比前面提到的CASE结构效率更低——除非您为两个查询都有覆盖索引。不管怎样，对于类似的问题，这都是一个有用的技巧:

SELECT OrderId, MAX(Price) as Price FROM (
   SELECT o.OrderId, o.NegotiatedPrice as Price FROM Order o
   UNION ALL
   SELECT o.OrderId, o.SuggestedPrice as Price FROM Order o
) as A
GROUP BY OrderId

子查询可以从Outer查询访问列，因此可以使用这种方法跨列使用MAX等聚合。(不过，当涉及到大量列时可能更有用)

;WITH [Order] AS
(
SELECT 1 AS OrderId, 100 AS NegotiatedPrice, 110 AS SuggestedPrice UNION ALL
SELECT 2 AS OrderId, 1000 AS NegotiatedPrice, 50 AS SuggestedPrice
)
SELECT
       o.OrderId, 
       (SELECT MAX(price)FROM 
           (SELECT o.NegotiatedPrice AS price 
            UNION ALL SELECT o.SuggestedPrice) d) 
        AS MaxPrice 
FROM  [Order]  o

DECLARE @MAX INT
@MAX = (SELECT MAX(VALUE) 
               FROM (SELECT 1 AS VALUE UNION 
                     SELECT 2 AS VALUE) AS T1)