我知道这是非常古老的，但我喜欢在这种情况下使用NULLIF技巧，到目前为止我没有发现任何缺点。看看我的copy&pasteable示例，虽然不是很实用，但演示了如何使用它。

NULLIF可能会对性能产生一些负面影响，但我认为它仍然应该比子查询快。

DECLARE @tbl TABLE ( id [int] NOT NULL, field [varchar](50) NOT NULL)

INSERT INTO @tbl (id, field)
SELECT 1, 'Manager'
UNION SELECT 2, 'Manager'
UNION SELECT 3, 'Customer'
UNION SELECT 4, 'Boss'
UNION SELECT 5, 'Intern'
UNION SELECT 6, 'Customer'
UNION SELECT 7, 'Customer'
UNION SELECT 8, 'Wife'
UNION SELECT 9, 'Son'

SELECT * FROM @tbl

SELECT 
    COUNT(1) AS [total]
    ,COUNT(1) - COUNT(NULLIF([field], 'Manager')) AS [Managers]
    ,COUNT(NULLIF([field], 'Manager')) AS [NotManagers]
    ,(COUNT(1) - COUNT(NULLIF([field], 'Wife'))) + (COUNT(1) - COUNT(NULLIF([field], 'Son'))) AS [Family]
FROM @tbl

欢迎提出意见:-)

以下是我所做的，以获得一个数据集，其中包括每个集装箱内满足标准的总数和数量。让我来回答这个问题"有多少集装箱的货物超过X%大于51号"

select
   Schedule,
   PackageNum,
   COUNT (UniqueID) as Total,
   SUM (
   case
      when
         Size > 51 
      then
         1 
      else
         0 
   end
) as NumOverSize 
from
   Inventory 
where
   customer like '%PEPSI%' 
group by
   Schedule, PackageNum

这取决于你的意思，但另一种解释的意思是，你想要计算具有特定值的行，但不想将SELECT限制为只是那些行…

你可以使用SUM()和一个子句，像这样而不是使用COUNT(): 如。

SELECT SUM(CASE WHEN Position = 'Manager' THEN 1 ELSE 0 END) AS ManagerCount,
    SUM(CASE WHEN Position = 'CEO' THEN 1 ELSE 0 END) AS CEOCount
FROM SomeTable

如果使用Postgres或SQLite，可以使用Filter子句来提高可读性:

SELECT
  COUNT(1) FILTER (WHERE POSITION = 'Manager') AS ManagerCount,
  COUNT(1) FILTER (WHERE POSITION = 'Other') AS OtherCount
FROM ...

BigQuery也有Countif -在这里可以看到不同SQL方言对这些特性的支持: https://modern-sql.com/feature/filter

如果使用SQL 2005或更高版本，也可以使用Pivot关键字

更多信息来自Technet

SELECT *
FROM @Users
PIVOT (
    COUNT(Position)
    FOR Position
    IN (Manager, CEO, Employee)
) as p

测试数据集

DECLARE @Users TABLE (Position VARCHAR(10))
INSERT INTO @Users (Position) VALUES('Manager')
INSERT INTO @Users (Position) VALUES('Manager')
INSERT INTO @Users (Position) VALUES('Manager')
INSERT INTO @Users (Position) VALUES('CEO')
INSERT INTO @Users (Position) VALUES('Employee')
INSERT INTO @Users (Position) VALUES('Employee')
INSERT INTO @Users (Position) VALUES('Employee')
INSERT INTO @Users (Position) VALUES('Employee')
INSERT INTO @Users (Position) VALUES('Employee')
INSERT INTO @Users (Position) VALUES('Employee')

假设你不想限制返回的行，因为你也在聚合其他值，你可以这样做:

select count(case when Position = 'Manager' then 1 else null end) as ManagerCount
from ...

假设在同一列中，你有经理，主管和团队领导的值，你可以得到每一个的计数如下所示:

select count(case when Position = 'Manager' then 1 else null end) as ManagerCount,
    count(case when Position = 'Supervisor' then 1 else null end) as SupervisorCount,
    count(case when Position = 'Team Lead' then 1 else null end) as TeamLeadCount,
from ...