SQL Server查询专注于“透视”包含非数字数据的表

时间:2019-01-24 15:39:40

标签: sql sql-server pivot aggregate aggregate-functions

表名称:职业

**Name  Occupation**  
Samantha    Doctor    
Julia   Actor
Maria   Actor
Meera   Singer
Ashely  Professor
Ketty   Professor
Christeen   Professor
Jane    Actor
Jenny   Doctor
Priya   Singer

目标是编写一个查询,该查询将“透视”上述表数据,以便显示以下结果:

Jenny    Ashley     Meera  Jane
Samantha Christeen  Priya  Julia
NULL     Ketty      NULL   Maria

我写了以下查询:

 WITH pivot_data AS
(
SELECT Occupation as Occupation1,  -- Grouping Column
Occupation, -- Spreading Column
Name -- Aggregate Column
FROM Occupations
)
SELECT  [Doctor], [Professor], [Singer], [Actor]
FROM pivot_data 
PIVOT (max(Name) 
       FOR Occupation IN ([Doctor], [Professor], [Singer], [Actor])
                                                            ) AS p;

不幸的是,上述查询给出了以下错误结果:

Doctor  Professor   Singer  Actor    
NULL    NULL    NULL    Maria    
Samantha    NULL    NULL    NULL    
NULL    Ketty   NULL    NULL    
NULL    NULL    Priya   NULL

有人可以发布将显示所需结果的sql查询吗?(此外,如果您可以使用sql server“ pivot”命令执行一个查询,而另一个使用Out sql server“ pivot”命令进行查询,这将非常有帮助。 )

1 个答案:

答案 0 :(得分:2)

我不会为此使用数据透视。条件聚合更容易编写和理解。它的性能几乎总是略胜一筹。

首先,我必须将数据转换为可消耗的东西。这是您以后应该发布此类信息的方式。

declare @Something table
(
    Name varchar(20)
    , Occupation varchar(20)
)

insert @Something values
('Samantha', 'Doctor')
, ('Julia', 'Actor')
, ('Maria', 'Actor')
, ('Meera', 'Singer')
, ('Ashely', 'Professor')
, ('Ketty', 'Professor')
, ('Christeen', 'Professor')
, ('Jane', 'Actor')
, ('Jenny', 'Doctor')
, ('Priya', 'Singer')
;

现在,我们可以使用此数据轻松地生成您的输出。

with NumberedRows as
(
    select * 
        , RowNum = ROW_NUMBER() over(partition by Occupation order by name)
    from @Something
)

select Doctor = max(case when nr.Occupation = 'Doctor' then nr.Name end)
    , Professor = max(case when nr.Occupation = 'Professor' then nr.Name end)
    , Singer = max(case when nr.Occupation = 'Singer' then nr.Name end)
    , Actor = max(case when nr.Occupation = 'Actor' then nr.Name end)
from NumberedRows nr
group by nr.RowNum