问题描述
我在 SQL Server 2008R2 中有以下源表和目标表.如何在 TSQL 中进行数据透视以将 SourceTbl
转换为 DestTbl
?希望 empIndex 能以某种方式在支点上有所帮助.
I have the following source and destination tables in SQL Server 2008R2. How can I do pivot(s) in TSQL to transform SourceTbl
into DestTbl
? Hoping that the empIndex will somehow help in the pivot.
SourceTbl
empId empIndex empState empStDate empEndDate
========================================================
10 1 AL 1/1/2012 12/1/2012
10 2 FL 2/1/2012 2/1/2013
15 1 FL 3/20/2012 1/1/2099
DestTbl
empId empState1 empState1StDate empState1EndDt empState2 empState2StDate empState2EndDt
=========================================================================================================
10 AL 1/1/2012 12/1/2012 FL 2/1/2012 2/1/2013
15 FL 3/20/2012 1/1/2099 NULL NULL NULL
推荐答案
由于您使用的是 SQL Server,因此您可以通过多种不同的方式将行转换为列.您可以将聚合函数与 CASE 表达式一起使用:
Since you are using SQL Server there are several different ways that you can convert the rows into columns. You can use an aggregate function with a CASE expression:
select empid,
max(case when empindex = 1 then empstate end) empState1,
max(case when empindex = 1 then empStDate end) empStDate1,
max(case when empindex = 1 then empEndDate end) empEndDate1,
max(case when empindex = 2 then empstate end) empState2,
max(case when empindex = 2 then empStDate end) empStDate2,
max(case when empindex = 2 then empEndDate end) empEndDate2
from sourcetbl
group by empid;
参见 SQL Fiddle with Demo.
如果您想使用 PIVOT 函数来获取结果,那么我建议首先取消透视列 empState
、empStDate
和 empEndDate
所以你首先会有多行.您可以使用 UNPIVOT 函数或 CROSS APPLY 来转换代码将是的数据:
If you want to use the PIVOT function to get the result, then I would recommend first unpivoting the columns empState
, empStDate
and empEndDate
so you will have multiple rows first. You can use the UNPIVOT function or CROSS APPLY to convert the data the code will be:
select empid, col+cast(empindex as varchar(10)) col, value
from sourcetbl
cross apply
(
select 'empstate', empstate union all
select 'empstdate', convert(varchar(10), empstdate, 120) union all
select 'empenddate', convert(varchar(10), empenddate, 120)
) c (col, value);
参见演示.取消数据透视后,您可以应用 PIVOT 函数,这样最终代码将是:
See Demo. Once the data is unpivoted, then you can apply the PIVOT function so the final code will be:
select empid,
empState1, empStDate1, empEndDate1,
empState2, empStDate2, empEndDate2
from
(
select empid, col+cast(empindex as varchar(10)) col, value
from sourcetbl
cross apply
(
select 'empstate', empstate union all
select 'empstdate', convert(varchar(10), empstdate, 120) union all
select 'empenddate', convert(varchar(10), empenddate, 120)
) c (col, value)
) d
pivot
(
max(value)
for col in (empState1, empStDate1, empEndDate1,
empState2, empStDate2, empEndDate2)
) piv;
参见 SQL Fiddle with Demo.
如果您的 empindex
数量有限,上述版本会很好用,但如果没有,那么您可以使用动态 SQL:
Th above versions will work great if you have a limited number of empindex
, but if not then you can use dynamic SQL:
DECLARE @cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT ',' + QUOTENAME(col+cast(empindex as varchar(10)))
from SourceTbl
cross apply
(
select 'empstate', 1 union all
select 'empstdate', 2 union all
select 'empenddate', 3
) c (col, so)
group by col, so, empindex
order by empindex, so
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT empid,' + @cols + '
from
(
select empid, col+cast(empindex as varchar(10)) col, value
from sourcetbl
cross apply
(
select ''empstate'', empstate union all
select ''empstdate'', convert(varchar(10), empstdate, 120) union all
select ''empenddate'', convert(varchar(10), empenddate, 120)
) c (col, value)
) x
pivot
(
max(value)
for col in (' + @cols + ')
) p '
execute sp_executesql @query;
查看 SQL Fiddle with Demo
您可以使用这些查询 INSERT INTO 您的 DestTbl
,或者不再以这种格式存储数据,您现在可以通过查询来获得所需的结果.
You can use these queries to INSERT INTO your DestTbl
, or instead of storing the data in this format, you now have a query to get the desired result.
这些查询以以下格式放置数据:
These queries place the data in the format:
| EMPID | EMPSTATE1 | EMPSTDATE1 | EMPENDDATE1 | EMPSTATE2 | EMPSTDATE2 | EMPENDDATE2 |
---------------------------------------------------------------------------------------
| 10 | AL | 2012-01-01 | 2012-12-01 | FL | 2012-02-01 | 2013-02-01 |
| 15 | FL | 2012-03-20 | 2099-01-01 | (null) | (null) | (null) |
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