1. 首先我们建立一张表,名为scoreInfo,各个字段的设计如下图,分别是name,course,score,表示姓名,成绩与分数,如图所示。

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" alt="" />
  2. 2

    我们往表中加入数据,分别添加小明与小花的语文和数学成绩,如图所示。

    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" alt="" />
  3. 3

    接下来,我们要进行行列转换,列应该是name,语文,数学。我们首先要考虑是如何得到列名,我们可以通过分组得到课程名称。如图所示,我们通过分组语句,从查询结果我们可以看出课程名的拼接字符串。

    代码:

    declare @sql varchar(200)
    select @sql=ISNULL(@sql+',','')+course from scoreInfo group by course
    select @sql

    效果:

    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" alt="" />
  4. 4

    接下来,关键的行转列的函数pivot出场了,通过这个函数我们把分数填充到转换的列语文、数学的列值。

    declare @sql varchar(200)
    select @sql=ISNULL(@sql+',','')+course from scoreInfo group by course
    set @sql='select * from scoreInfo pivot(max(score) for course in ('+@sql+')) pivotTable'  
    exec(@sql)
  5. 5

    我们运行后,可以得到行转列的结果,如下图所示。

    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alt="" />
  6. 6

    通过以上几个步骤,我们就可以轻松的实现行列转换了。同样,我们如果要把列转换成行, 应该怎么做呢?同样我们可以采用unpivot函数轻松实现。

    declare @sql varchar(200)
    select @sql=ISNULL(@sql+',','')+course from scoreInfo group by course
    set @sql='select * from scoreInfo pivot(max(score) for course in ('+@sql+')) pivotTable unpivot(Score for Course in('+@sql+')) unPivotedTable'
    exec(@sql)

    通过上面的sql语句,如下图所示:

    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