SQL查询动态表的转置
sql表如下,
Name Salary NoticePeriod CTC
Jack 1520 15 123
Bruce 1423 35 165
它包含大约1000行.
and it contains about 1000 rows.
我需要对该表进行转置,以使预期输出为
I need to do a transpose of this table ,such that the expected output is
Fields Jack Bruce Mike ..... Sam
Salary 1520 1423 235 .. 561
NoticePeriod 15 35 23 253
CTC 123 165 45 ... 125
我尝试在Sql Server 2008中使用Pivot和Unpivot函数.但是,由于名称"记录很大,因此数据透视查询无济于事.
I tried using Pivot and Unpivot function in Sql Server 2008 . But Since the Name record is large , Pivot query doesnt helps.
我的sql尝试如下,
SELECT *
FROM (
SELECT NAME,
Salary,
NoticePeriod,
CTC
FROM CTCTABLE WITH (NOLOCK)
) AS queryTable
UNPIVOT(Value FOR NAME IN (NAME, Salary, NoticePeriod, CTC)) AS unpv
PIvot(max(Value) FOR NAME IN (Salary, NoticePeriod, CTC)) pv
在您的情况下,应先将Salary, NoticePeriod, CTC
列分解为行,然后将PIVOT
分解为行:
In your case, you should unpivot the columns Salary, NoticePeriod, CTC
into rows, then PIVOT
:
WITH Unpivoted
AS
(
SELECT Name, Fields, SalaryValue
FROM salaries AS s
UNPIVOT
(
SalaryValue
FOR Fields IN(Salary, NoticePeriod, CTC)
) AS u
)
SELECT Fields, jack,bruce
FROM Unpivoted AS u
PIVOT
(
MAX(SalaryValue)
FOR Name IN(Jack, Bruce)
) AS p;
UNPIVOT
会将Salary, NoticePeriod, CTC
列转换为值:
然后,数据透视表将对每个字段值的薪水值进行透视,并将名称转换为列.
Then the pivot will pivot the salary values for each field value and transform the names into columns.
当然,您必须动态地执行此操作,而不是像这样编写名称列表:
And of course you have to do it dynamically instead of writing list of names like this:
DECLARE @cols AS NVARCHAR(MAX);
DECLARE @colnames AS NVARCHAR(MAX);
DECLARE @query AS NVARCHAR(MAX);
SELECT @cols = STUFF((SELECT distinct ',' +
QUOTENAME(name)
FROM salaries
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '');
SELECT @query = 'WITH Unpivoted
AS
(
SELECT Name, Fields, SalaryValue
FROM salaries AS s
UNPIVOT
(
SalaryValue
FOR Fields IN(Salary, NoticePeriod, CTC)
) AS u
)
SELECT Fields, ' + @cols + '
FROM Unpivoted AS u
PIVOT
(
MAX(SalaryValue)
FOR Name IN(' + @cols + ')' +
') p';
execute(@query);
这将为您提供:
- 实时演示(感谢@ lad2025)
- Live Demo (Thanks to @lad2025 for it)