SELECT * FROM TABLENAME ORDER BY random() LIMIT 5; 

也许这个网站会有帮助。

对于那些不想点击浏览的人:

SELECT TOP 1 column FROM table
ORDER BY NEWID()

如果你不想使用NEWID()并且主键列是int，那么你可以像这样选择一个随机的主键:

with a as 
(
select count(id) as row_count
from mytable
)

select *
from mytable , a
where id = round(rand() * row_count, 0)

如果你有一个有数百万行的表，并且关心性能，这可能是一个更好的答案:

SELECT * FROM Table1
WHERE (ABS(CAST(
  (BINARY_CHECKSUM
  (keycol1, NEWID())) as int))
  % 100) < 10

https://msdn.microsoft.com/en-us/library/cc441928.aspx

SELECT TOP 5 Id, Name FROM customerNames ORDER BY NEWID()

这是一个老问题，但是尝试将一个新字段(NEWID()或ORDER BY rand())应用到一个有大量行的表将会非常昂贵。如果你有增量的，唯一的id(并且没有任何漏洞)，计算要选择的id的X #会更有效，而不是应用一个GUID或类似于每一行，然后取X #的顶部。

DECLARE @minValue int;
DECLARE @maxValue int;
SELECT @minValue = min(id), @maxValue = max(id) from [TABLE];

DECLARE @randomId1 int, @randomId2 int, @randomId3 int, @randomId4 int, @randomId5 int
SET @randomId1 = ((@maxValue + 1) - @minValue) * Rand() + @minValue
SET @randomId2 = ((@maxValue + 1) - @minValue) * Rand() + @minValue
SET @randomId3 = ((@maxValue + 1) - @minValue) * Rand() + @minValue
SET @randomId4 = ((@maxValue + 1) - @minValue) * Rand() + @minValue
SET @randomId5 = ((@maxValue + 1) - @minValue) * Rand() + @minValue

--select @maxValue as MaxValue, @minValue as MinValue
--  , @randomId1 as SelectedId1
--  , @randomId2 as SelectedId2
--  , @randomId3 as SelectedId3
--  , @randomId4 as SelectedId4
--  , @randomId5 as SelectedId5

select * from [TABLE] el
where el.id in (@randomId1, @randomId2, @randomId3, @randomId4, @randomId5)

如果你想选择更多的行，我会考虑用一个ID和一组rand()值填充一个#tempTable，然后使用每个rand()值缩放到最小-最大值。这样你就不必定义所有的@randomId1…n参数。下面是一个使用CTE填充初始表的示例。

DECLARE @NumItems int = 100;

DECLARE @minValue int;
DECLARE @maxValue int;
SELECT @minValue = min(id), @maxValue = max(id) from [TABLE];
DECLARE @range int = @maxValue+1 - @minValue;

with cte (n) as (
   select 1 union all
   select n+1 from cte
   where n < @NumItems
)
select cast( @range * rand(cast(newid() as varbinary(100))) + @minValue as int) tp
into #Nt
from cte;

select * from #Nt ntt
inner join [TABLE] i on i.id = ntt.tp;

drop table #Nt;