Pen*_*gan 4 sql t-sql sql-server pivot sql-server-2008
我在SQL Server中遇到Crosstab查询问题.
假设我有如下数据:
| ScoreID | StudentID | Name | Sex | SubjectName | Score |
------------------------------------------------------------------
| 1 | 1 | Student A | Male | C | 100 |
| 2 | 1 | Student A | Male | C++ | 40 |
| 3 | 1 | Student A | Male | English | 60 |
| 4 | 1 | Student A | Male | Database | 15 |
| 5 | 1 | Student A | Male | Math | 50 |
| 6 | 2 | Student B | Male | C | 77 |
| 7 | 2 | Student B | Male | C++ | 12 |
| 8 | 2 | Student B | Male | English | 56 |
| 9 | 2 | Student B | Male | Database | 34 |
| 10 | 2 | Student B | Male | Math | 76 |
| 11 | 3 | Student C | Female | C | 24 |
| 12 | 3 | Student C | Female | C++ | 10 |
| 13 | 3 | Student C | Female | English | 15 |
| 14 | 3 | Student C | Female | Database | 40 |
| 15 | 3 | Student C | Female | Math | 21 |
| 16 | 4 | Student D | Female | C | 17 |
| 17 | 4 | Student D | Female | C++ | 34 |
| 18 | 4 | Student D | Female | English | 24 |
| 19 | 4 | Student D | Female | Database | 56 |
| 20 | 4 | Student D | Female | Math | 43 |
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我想查询显示结果如下:
| StuID| Name | Sex | C | C++ | Eng | DB | Math | Total | Average |
| 1 | Student A | Male | 100| 40 | 60 | 15 | 50 | 265 | 54 |
| 2 | Student B | Male | 77 | 12 | 56 | 34 | 76 | 255 | 51 |
| 3 | Student C | Female | 24 | 10 | 15 | 40 | 21 | 110 | 22 |
| 4 | Student D | Female | 17 | 34 | 24 | 56 | 43 | 174 | 34.8 |
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我如何查询显示这样的输出?
注意:
主题名称:
数学
将根据学生学习的科目而改变.
请访问http://sqlfiddle.com/#!6/2ba07/1来测试此查询.
Tar*_*ryn 14
执行PIVOT静态的方法有两种:硬编码值,动态执行时确定列的动态.
即使您需要动态版本,有时也更容易从静态开始,PIVOT然后朝着动态版本开始.
静态版本:
SELECT studentid, name, sex,[C], [C++], [English], [Database], [Math], total, average
from
(
select s1.studentid, name, sex, subjectname, score, total, average
from Score s1
inner join
(
select studentid, sum(score) total, avg(score) average
from score
group by studentid
) s2
on s1.studentid = s2.studentid
) x
pivot
(
min(score)
for subjectname in ([C], [C++], [English], [Database], [Math])
) p
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现在,如果您不知道将要转换的值,那么您可以使用动态SQL:
DECLARE @cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT distinct ',' + QUOTENAME(SubjectName)
from Score
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT studentid, name, sex,' + @cols + ', total, average
from
(
select s1.studentid, name, sex, subjectname, score, total, average
from Score s1
inner join
(
select studentid, sum(score) total, avg(score) average
from score
group by studentid
) s2
on s1.studentid = s2.studentid
) x
pivot
(
min(score)
for subjectname in (' + @cols + ')
) p '
execute(@query)
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两个版本都会产生相同的结果.
只是为了完善答案,如果你没有PIVOT函数,那么你可以使用CASE和聚合函数得到这个结果:
select s1.studentid, name, sex,
min(case when subjectname = 'C' then score end) C,
min(case when subjectname = 'C++' then score end) [C++],
min(case when subjectname = 'English' then score end) English,
min(case when subjectname = 'Database' then score end) [Database],
min(case when subjectname = 'Math' then score end) Math,
total, average
from Score s1
inner join
(
select studentid, sum(score) total, avg(score) average
from score
group by studentid
) s2
on s1.studentid = s2.studentid
group by s1.studentid, name, sex, total, average
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