You can unpivot the data using CROSS APPLY (VALUES)
. Here is an article to explain how this is done:
http://www.sqlservercentral.com/articles/CROSS+APPLY+VALUES+UNPIVOT/91234/
Basically the code is:
SELECT vend,
year,
month,
dols,
qty
FROM YourTable t
CROSS APPLY
(
VALUES
(1, I1_DOLS, I1_QTY),
(2, I2_DOLS, I2_QTY),
(3, I3_DOLS, I3_QTY)
) x (month, dols, qty);
See SQL Fiddle with Demo
Or you could use a UNION ALL
query:
select vend, year, 1 month, [I1_DOLS] Dols, [I1_QTY] Qty
from yourtable
union all
select vend, year, 2 month, [I2_DOLS] Dols, [I2_QTY] Qty
from yourtable
union all
select vend, year, 3 month, [I3_DOLS] Dols, [I3_QTY] Qty
from yourtable
See SQL Fiddle with Demo
Or you can even apply both the UNPIVOT
and the PIVOT
function to transform the data:
select *
from
(
select vend,
year,
replace(replace(replace(col, 'I', ''), '_Dols', ''), '_Qty', '') month,
case when col like '%Dols%' then 'dols' else 'qty' end col_name,
value
from
(
select vend, year, [I1_DOLS], [I1_QTY], [I2_DOLS], [I2_QTY], [I3_DOLS], [I3_QTY]
from yourtable
) src
unpivot
(
value
for col in ([I1_DOLS], [I1_QTY], [I2_DOLS], [I2_QTY], [I3_DOLS], [I3_QTY])
) un
) unp
pivot
(
max(value)
for col_name in (dols, qty)
) piv
See SQL Fiddle with Demo.
All three will give the same result:
| VEND | YEAR | MONTH | DOLS | QTY |
--------------------------------------
| 1234 | 2011 | 1 | 101587 | 508 |
| 1234 | 2011 | 2 | 203345 | 334 |
| 1234 | 2011 | 3 | 105938 | 257 |
| 1234 | 2012 | 1 | 257843 | 587 |
| 1234 | 2012 | 2 | 235883 | 247 |
| 1234 | 2012 | 3 | 178475 | 456 |
| 1011 | 2010 | 1 | 584737 | 432 |
| 1011 | 2010 | 2 | 587274 | 356 |
| 1011 | 2010 | 3 | 175737 | 563 |
| 1011 | 2011 | 1 | 517774 | 356 |
| 1011 | 2011 | 2 | 483858 | 456 |
| 1011 | 2011 | 3 | 481785 | 354 |