您无需对说明做任何事情,说明也随标签而有所不同。它没有聚合,因此在隐式“ group by”中,因此您在结果集中获得了单独的行。
您也可以使用另一个(虚拟)聚合来捕获它:
select * from (
select * from TEST2 where tag in ('LN', 'SN')
)
PIVOT
(
max(value) as value, max(description) as description
for tag in ('LN' as ln, 'SN' as sn)
)
order by category, subcat, item, "Date";
Date SUBCAT CATEGOR IT LN_VALUE LN_DESCRIPTION SN_VALUE SN_DESCRIPTION
--------- ------ ------- -- ----------------- --------------- ----------------- ---------------
24-OCT-13 290223 1219576 25 1105618 Lot Number 3x12mm Serial Number
24-OCT-13 290223 1219576 28 1303757 Lot Number
18-JUN-15 354506 1219576 4 1403114 Lot Number
18-JUN-15 354506 1219576 9 7777777777 Lot Number 9.999999999999E12 Serial Number
或者,如果不想使用它,可以通过指定您想要的列而不是使用,将其从中间结果集中排除*
:
select * from (
select category, subcat, item, "Date", tag, value
from TEST2 where tag in ('LN', 'SN')
)
PIVOT
(
max(value) for tag in ('LN' as ln, 'SN' as sn)
)
order by category, subcat, item, "Date";
CATEGOR SUBCAT IT Date LN SN
------- ------ -- --------- ----------------- -----------------
1219576 290223 25 24-OCT-13 1105618 3x12mm
1219576 290223 28 24-OCT-13 1303757
1219576 354506 4 18-JUN-15 1403114
1219576 354506 9 18-JUN-15 7777777777 9.999999999999E12