我有一个表格,我希望通过两个不同的列prop1
和prop2
进行汇总。
id | prop1 | prop2 | val
--------------------------
1 | A | B | 10
2 | A | A | 15
3 | B | B | 20
4 | B | A | 30
所需的输出是:
prop_name | prop_val | sum_val
--------------------------------
prop1 | A | 25
prop1 | B | 50
prop2 | A | 45
prop2 | B | 30
我知道我可以使用联合(见下文)来做到这一点,但使用分析函数有更好的方法吗?
with
test_data as (
select 1 as id, 'A' as prop1, 'B' as prop2, 10 as val from dual union all
select 2 as id, 'A' as prop1, 'A' as prop2, 15 as val from dual union all
select 3 as id, 'B' as prop1, 'B' as prop2, 20 as val from dual union all
select 4 as id, 'B' as prop1, 'A' as prop2, 30 as val from dual
)
select
'prop1' as prop_name
, prop1 as prop_val
, sum(val) as sum_val
from test_data
group by 'prop1', prop1
union all
select
'prop2' as prop_name
, prop2 as prop_val
, sum(val) as sum_val
from test_data
group by 'prop2', prop2;
答案 0 :(得分:0)
我会用分组集来做到这一点:
select prop1, prop2, sum(val)
from test_data
group by grouping sets ((prop1), (prop2))
Here就是你的榜样。
获得准确的输出需要更多的工作。
select (case when prop1 is null then 'prop2' else 'prop1' end) as prop_name,
coalesce(prop1, prop2) as prop,
sum(value)
from test_data
group by grouping sets ((prop1), (prop2));
这假定前两列不包含NULL
值。表达逻辑的更好方法是使用GROUPING_ID
或GROUP_ID()
,但我认为COALESCE()
更容易遵循逻辑。