use [test1]
go

create table [dbo].[student](
  [id] [int] identity(1,1) not null,
  [name] [nvarchar](50) null,
  [project] [nvarchar](50) null,
  [score] [int] null,
 constraint [pk_student] primary key clustered 
(
  [id] asc
)with (pad_index = off, statistics_norecompute = off, ignore_dup_key = off, allow_row_locks = on, allow_page_locks = on) on [primary]
) on [primary]
go

insert into test1.dbo.student(name,project,score)
values('张三','android','60'),
   ('张三','ios','70'),
   ('张三','html5','55'),
   ('张三','.net','100'),
   ('李四','android','60'),
   ('李四','ios','75'),
   ('李四','html5','90'),
   ('李四','.net','100');

select column_name,
() 
from database.schema.table
group by column_name

select name,
max(case project when 'android' then score end) as '安卓',
max(case project when 'ios' then score end) as '苹果',
max(case project when 'html5' then score end) as 'html5',
max(case project when '.net' then score end) as '.net'
from [test1].[dbo].[student]
group by name

select , 
  [first pivoted column] as , 
  [second pivoted column] as , 
  ... 
  [last pivoted column] as  
from 
  ()  
  as  
pivot 
( 
  () 
for  
[]  
  in ( [first pivoted column], [second pivoted column], 
  ... [last pivoted column]) 
) as  
;
语法解析
非聚合列。
[first pivoted column]
第一列列名。
[second pivoted column]
第二列列名。
[last pivoted column]
最后一列列名。
数据子表。
表别名。
聚合函数。
聚合函数列，用于输出值列，最终输出中返回的列（称为分组列）将对其进行分组。
[]
转换列，此列返回的唯一值将成为最终结果集中的字段。
[first pivoted column], [second pivoted column], ... [last pivoted column]
数据行中每一行行要转换的列名。
排序规则。
示例
select b.Name,b.[android],b.[ios],b.[html5],b.[.net] 
from 
(select Name,Project,Score from [test1].[dbo].[student])
as a
pivot
(
  max(Score)
  for Project in ([android],[ios],[html5],[.net])
) 
as b
order by b.name desc
示例结果
转换前
转换后
注意事项
1、如果输出列名不能在表转换列中，则不会执行任何计算。
2、输出的所有列的列名的数据类型必须一致。
总结
以上就是这篇文章的全部内容了，希望本文的内容对大家的学习或者工作具有一定的参考学习价值，谢谢大家对创新互联的支持。
            
            
                                

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