In order to get the result that you want you will have to apply both the UNPIVOT
and the PIVOT
functions.
The unpivot function will convert your Q1
, Q2
, Q3
, and Q4
columns into rows. Once that is done, you will apply the pivot function.
The unpivot code will be similar to this:
select programid,
col + '_'+ category cat_col,
value
from yourtable
unpivot
(
value
for col in (Q1, Q2, Q3, Q4)
) unpiv
See SQL Fiddle with Demo. This gives a result:
| PROGRAMID | CAT_COL | VALUE |
----------------------------------
| 366 | Q1_People | 109034 |
| 366 | Q2_People | 25418 |
| 366 | Q3_People | 101130 |
| 366 | Q4_People | 54787 |
You can see that this query creates a new column name to pivot which has the category value and the quarter name.
Once you have this result, you can apply the pivot function:
select *
from
(
select programid,
col + '_'+ category cat_col,
value
from yourtable
unpivot
(
value
for col in (Q1, Q2, Q3, Q4)
) unpiv
) d
pivot
(
sum(value)
for cat_col in (Q1_People, Q2_People, Q3_People, Q4_People,
Q1_IT, Q2_IT, Q3_IT, Q4_IT,
Q1_Travel, Q2_Travel, Q3_Travel, Q4_Travel)
) piv
See SQL Fiddle with Demo. This gives the result:
| PROGRAMID | Q1_PEOPLE | Q2_PEOPLE | Q3_PEOPLE | Q4_PEOPLE | Q1_IT | Q2_IT | Q3_IT | Q4_IT | Q1_TRAVEL | Q2_TRAVEL | Q3_TRAVEL | Q4_TRAVEL |
---------------------------------------------------------------------------------------------------------------------------------------------
| 366 | 109034 | 25418 | 101130 | 54787 | 0 | 0 | 0 | 0 | 1195 | 613 | 1113 | 1195 |
solved SQL Pivot based on multiple columns