我建议先将 UNPIVOT 函数应用于您的多个列,然后使用 row_number() 创建将在 PIVOT 中使用的新列名。
unpivot 的基本语法是
select field,
value,
'value'||
to_char(row_number() over(partition by field
order by value)) seq
from yourtable
unpivot
(
value
for field in (Name, Age, Sex, DOB, col1, col2, col3)
) u;
见SQL Fiddle with Demo。这会将您的多列数据转换为多行。我使用row_number() 为您的新列名创建了一个唯一值,此查询中的数据如下所示:
| FIELD | VALUE | SEQ |
|-------|-------------------------|--------|
| AGE | 12 | value1 |
| AGE | 15 | value2 |
| COL1 | aa | value1 |
| COL1 | xx | value2 |
然后你可以对这个结果应用 PIVOT 函数:
select field, value1, value2
from
(
select field,
value,
'value'||
to_char(row_number() over(partition by field
order by value)) seq
from yourtable
unpivot
(
value
for field in (Name, Age, Sex, DOB, col1, col2, col3)
) u
) d
pivot
(
max(value)
for seq in ('value1' as value1, 'value2' as value2)
) piv
见SQL Fiddle with Demo。这给出了最终结果:
| FIELD | VALUE1 | VALUE2 |
|-------|-------------------------|-------------------------|
| AGE | 12 | 15 |
| COL1 | aa | xx |
| COL2 | bb | yy |
| COL3 | cc | zz |
| DOB | 07-Aug-2001 12:00:00 AM | 26-Aug-2001 12:00:00 AM |
| NAME | A | B |
| SEX | F | M |
请注意,当您应用 unpivot 函数时,所有列的数据类型必须相同,因此您可能必须先在子查询中转换数据,然后才能对其进行 unpivot。
Oracle 11g 中引入了 UNPIVOT/PIVOT 功能,如果您使用的是 Oracle 10g,则可以编辑查询以使用:
with cte as
(
select 'name' field, name value
from yourtable
union all
select 'Age' field, Age value
from yourtable
union all
select 'Sex' field, Sex value
from yourtable
union all
select 'DOB' field, DOB value
from yourtable
union all
select 'col1' field, col1 value
from yourtable
union all
select 'col2' field, col2 value
from yourtable
union all
select 'col3' field, col3 value
from yourtable
)
select
field,
max(case when seq = 'value1' then value end) value1,
max(case when seq = 'value2' then value end) value2
from
(
select field, value,
'value'||
to_char(row_number() over(partition by field
order by value)) seq
from cte
) d
group by field;
见SQL Fiddle with Demo