How can I cross tab this table [duplicate] - sql

Question

This question already has answers here:
Simple way to transpose columns and rows in SQL?
(9 answers)
Closed 9 years ago.
I am using sql server 2008 and I want to cross tab this table
Month Affec KPI Total KPI_% Out rep_in_10 ftm
Jan-11 30565 34623 42003 82.4 7380 7003 5024
Jan-12 20955 25915 27857 93 1942 4754 3518
Feb-11 27754 27757 36483 76.1 8726 5648 4189
Feb-12 19513 25188 26962 93.4 1774 5768 4185
Mar-11 22838 23758 29951 79.3 6193 4394 3282
Mar-12 18778 25098 26177 95.9 1079 5784 4105
Apr-11 20235 21950 25917 84.7 3967 3895 2967
to
Jan-11 Jan-12 Feb-11 Feb-12 Mar-11 Apr-11
Affec 30565
KPI 34623
Total 42003
KPI_% 82.4
Out 7380
rep_in_10 7003

Answer 1

In my opinion you shouldn't do this. You can achieve this easily on presentation layer with PHP or whatever you are using. Databases are there to get you the data, not to format it nicely. See Mahmoud's answer more as a proof of concept. But the query will never be as fast as the query you have right now to get the data. Maintenance may be another argument against it.

Answer 2

For this type of data transformation, you will need to use the UNPIVOT function and then apply the PIVOT function in SQL Server.
There are two ways to perform this, either hard-coding the values with a static version of using dynamic sql to generate the values as run-time.
Static Version:
The UNPIVOT piece of this takes the data from your multiple columns and transforms it into two rows. Note, the one thing to keep in mind with unpivot is that the datatypes must be the same. So you might have to perform a data type conversion on the data.:
select [Month], value, col
from
(
select DateName(month,[Month]) +'-'+Cast(datepart(year, [month]) as varchar(4)) Month,
[Affec], [KPI], [Total], [KPI_%], [Out], [rep_in_10], [ftm]
from yourtable
) src
unpivot
(
value
for col in ([Affec], [KPI], [Total], [KPI_%], [Out], [rep_in_10], [ftm])
) unpiv
See SQL Fiddle with Demo
Result:
| MONTH | VALUE | COL |
-------------------------------------
| January-2011 | 30565 | Affec |
| January-2011 | 34623 | KPI |
| January-2011 | 42003 | Total |
| January-2011 | 82.4 | KPI_% |
| January-2011 | 7380 | Out | ---etc
Then you apply the PIVOT to the months:
select *
from
(
select [Month], value, col
from
(
select DateName(month,[Month]) +'-'+Cast(datepart(year, [month]) as varchar(4)) Month,
[Affec], [KPI], [Total], [KPI_%], [Out], [rep_in_10], [ftm]
from yourtable
) src
unpivot
(
value
for col in ([Affec], [KPI], [Total], [KPI_%], [Out], [rep_in_10], [ftm])
) unpiv
) src
pivot
(
max(value)
for month in ([January-2011], [February-2011], [March-2011],
[April-2011], [January-2012], [February-2012], [March-2012])
) piv
See SQL Fiddle with Demo
Result:
| COL | JANUARY-2011 | FEBRUARY-2011 | MARCH-2011 | APRIL-2011 | JANUARY-2012 | FEBRUARY-2012 | MARCH-2012 |
------------------------------------------------------------------------------------------------------------------
| Affec | 30565 | 27754 | 22838 | 20235 | 20955 | 19513 | 18778 |
| ftm | 5024 | 4189 | 3282 | 2967 | 3518 | 4185 | 4105 |
| KPI | 34623 | 27757 | 23758 | 21950 | 25915 | 25188 | 25098 |
| KPI_% | 82.4 | 76.1 | 79.3 | 84.7 | 93 | 93.4 | 95.9 |
| Out | 7380 | 8726 | 6193 | 3967 | 1942 | 1774 | 1079 |
| rep_in_10 | 7003 | 5648 | 4394 | 3895 | 4754 | 5768 | 5784 |
| Total | 42003 | 36483 | 29951 | 25917 | 27857 | 26962 | 26177 |
Dynamic Version:
The above works great, if you have a known number of values but it your values are unknown then you will want to use dynamic sql. I am going to guess that you will want a dynamic version since you will have a unknown number of dates:
DECLARE #colsUnpivot AS NVARCHAR(MAX),
#cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #colsUnpivot = STUFF((SELECT DISTINCT ','
+ quotename(c.name)
from sys.columns as C
where C.object_id = object_id('yourtable') and
C.name not in ('Month')
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
select #cols = STUFF((SELECT ',' + QUOTENAME(DateName(month,[Month]) +'-'+Cast(datepart(year, [month]) as varchar(4)))
from yourtable
group by [Month]
order by [Month]
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT col,' + #cols + ' from
(
select [Month], value, col
from
(
select DateName(month,[Month]) +''-''+Cast(datepart(year, [month]) as varchar(4)) Month,
[Affec], [KPI], [Total], [KPI_%], [Out], [rep_in_10], [ftm]
from yourtable
) src
unpivot
(
value
for col in ('+#colsunpivot+')
) unpiv
) x
pivot
(
max(value)
for [Month] in (' + #cols + ')
) p '
execute(#query)
See SQL Fiddle with Demo
The result will be the same as the dynamic version.
UNION ALL/CASE with aggregate:
Lastly, if you do not have access to either the UNPIVOT or PIVOT functions, then you can use a UNION ALL to unpivot and an aggregate function with a CASE to pivot the data:
select col,
max(case when month='January-2011' then value end) [January-2011],
max(case when month='February-2011' then value end) [February-2011],
max(case when month='March-2011' then value end) [March-2011],
max(case when month='April-2011' then value end) [April-2011],
max(case when month='January-2012' then value end) [January-2012],
max(case when month='February-2012' then value end) [February-2012],
max(case when month='March-2012' then value end) [March-2012]
from
(
select DateName(month,[Month]) +'-'+Cast(datepart(year, [month]) as varchar(4)) Month,
[Affec] value,
'Affec' col
from yourtable
union all
select DateName(month,[Month]) +'-'+Cast(datepart(year, [month]) as varchar(4)) Month,
[KPI] value,
'KPI' col
from yourtable
union all
select DateName(month,[Month]) +'-'+Cast(datepart(year, [month]) as varchar(4)) Month,
[Total] value,
'Total' col
from yourtable
union all
select DateName(month,[Month]) +'-'+Cast(datepart(year, [month]) as varchar(4)) Month,
[KPI_%] value,
'KPI_%' col
from yourtable
union all
select DateName(month,[Month]) +'-'+Cast(datepart(year, [month]) as varchar(4)) Month,
[rep_in_10] value,
'rep_in_10' col
from yourtable
union all
select DateName(month,[Month]) +'-'+Cast(datepart(year, [month]) as varchar(4)) Month,
[ftm] value,
'ftm' col
from yourtable
) src
group by col
See SQL Fiddle with Demo

Answer 3

Like this:
;WITH UNpivoted
AS
(
SELECT MonthsValue, Value, month
FROM (SELECT [Month],
CAST([Affec] AS VARCHAR(10)) Affec ,
CAST([KPIprecent] AS VARCHAR(10)) KPIprecent,
CAST([Total] AS VARCHAR(10)) Total,
CAST([KPI] AS VARCHAR(10)) KPI,
CAST([Out] AS VARCHAR(10)) [Out],
CAST([rep_in_10] AS VARCHAR(10)) [rep_in_10],
CAST([ftm] AS VARCHAR(10)) ftm
FROM table1
) t
UNPIVOT
(
MonthsValue FOR Value IN([Affec],
[KPIprecent],
[Total],
[KPI],
[Out],
[rep_in_10],
[ftm])
) u
)
SELECT
value,
[Jan-11],
[Jan-12],
[Feb-11],
[Feb-12],
[Mar-11],
[Mar-12],
[Apr-11]
FROM
(
SELECT monthsvalue, value, month
FROM Unpivoted
) t
PIVOT
(MAX(monthsvalue) for Month IN ([Jan-11],
[Jan-12],
[Feb-11],
[Feb-12],
[Mar-11],
[Mar-12],
[Apr-11])
) p;
SQL Fiddle Demo
This will give you:
| VALUE | JAN-11 | JAN-12 | FEB-11 | FEB-12 | MAR-11 | MAR-12 | APR-11 |
-----------------------------------------------------------------------------
| Affec | 30565 | 20955 | 27754 | 19513 | 22838 | 18778 | 20235 |
| ftm | 5024 | 3518 | 4189 | 4185 | 3282 | 4105 | 2967 |
| KPI | 82.4 | 93.0 | 76.1 | 93.4 | 79.3 | 95.9 | 84.7 |
| KPIprecent | 34623 | 25915 | 27757 | 25188 | 23758 | 25098 | 21950 |
| Out | 7380 | 1942 | 8726 | 1774 | 6193 | 1079 | 3967 |
| rep_in_10 | 7003 | 4754 | 5648 | 5768 | 4394 | 5784 | 3895 |
| Total | 42003 | 27857 | 36483 | 26962 | 29951 | 26177 | 25917 |