如果您使用的是固定长度的数据类型，则可以将其转换为二进制，从而非常容易和快速地完成此操作。假设documententid和DocumentSessionId都是int，因此都是4字节长…

SELECT COUNT(DISTINCT CAST(DocumentId as binary(4)) + CAST(DocumentSessionId as binary(4)))
FROM DocumentOutputItems

My specific problem required me to divide a SUM by the COUNT of the distinct combination of various foreign keys and a date field, grouping by another foreign key and occasionally filtering by certain values or keys. The table is very large, and using a sub-query dramatically increased the query time. And due to the complexity, statistics simply wasn't a viable option. The CHECKSUM solution was also far too slow in its conversion, particularly as a result of the various data types, and I couldn't risk its unreliability.

然而，使用上述解决方案几乎没有增加查询时间(与简单使用SUM相比)，并且应该是完全可靠的!它应该能够帮助其他处于类似情况的人，所以我把它贴在这里。

你可以使用Count函数两次。

在这种情况下，它将是:

SELECT COUNT (DISTINCT DocumentId), COUNT (DISTINCT DocumentSessionId) 
FROM DocumentOutputItems

我有一个类似的问题，但我的查询是一个子查询与比较数据在主查询。喜欢的东西:

Select code, id, title, name 
(select count(distinct col1) from mytable where code = a.code and length(title) >0)
from mytable a
group by code, id, title, name
--needs distinct over col2 as well as col1

忽略这个问题的复杂性，我意识到我无法用原问题中描述的双子查询将a.code的值获取到子查询中

Select count(1) from (select distinct col1, col2 from mytable where code = a.code...)
--this doesn't work because the sub-query doesn't know what "a" is

所以最后我发现我可以作弊，把这些列合并起来:

Select count(distinct(col1 || col2)) from mytable where code = a.code...

这就是最终成功的方法

希望这能起作用，我正在prima vista上写

SELECT COUNT(*) 
FROM DocumentOutputItems 
GROUP BY DocumentId, DocumentSessionId

比如:

select count(*)
from
  (select count(*) cnt
   from DocumentOutputItems
   group by DocumentId, DocumentSessionId) t1

可能只是做了和你已经做的一样的事情，但是它避免了DISTINCT。

这段代码使用distinct on 2参数，并提供特定于这些不同值的行数计数。它在MySQL中为我工作，就像一个魅力。

select DISTINCT DocumentId as i,  DocumentSessionId as s , count(*) 
from DocumentOutputItems   
group by i ,s;