我有一个查询,它正在计算分区的总和,并按类别给我一个运行总计。 这部分效果很好,现在,我只想通过分区的前 50% 的总和。 也许表格示例将显示:
╔═══════╦══════════════════════════╦════════════════════════════╗
║ col_1 ║ sum of partition by ║ sum of 50% of partition by ║
╠═══════╬══════════════════════════╬════════════════════════════╣
║ 1 ║ 36 (this is 1+2+3+...8) ║ 10 (1+2+3+4) ║
╠═══════╬══════════════════════════╬════════════════════════════╣
║ 2 ║ 35 (this is 2+3+4+....8) ║ 9 (2+3+4) ║
╠═══════╬══════════════════════════╬════════════════════════════╣
║ 3 ║ 34 ║ 7 (3+4) ║
╠═══════╬══════════════════════════╬════════════════════════════╣
║ 4 ║ 33 ║ 4 ║
╠═══════╬══════════════════════════╬════════════════════════════╣
║ 5 ║ 32 ║ null ║
╠═══════╬══════════════════════════╬════════════════════════════╣
║ 6 ║ 31 ║ null ║
╠═══════╬══════════════════════════╬════════════════════════════╣
║ 7 ║ 30 ║ null ║
╠═══════╬══════════════════════════╬════════════════════════════╣
║ 8 ║ 29 ║ null ║
╚═══════╩══════════════════════════╩════════════════════════════╝
现在我正在做
sum(col_) over(partition by <another col> order by <a third col>) as [sum of partition by ]
然后我稍后需要为这个计算添加另一列超过 25%,以便您了解。
可以通过枚举行和筛选来使用条件逻辑。 以下内容使用标准 SQL 语法:
select x,
sum(x) over (order by x desc),
sum(x) filter (where seqnum <= 0.5 * cnt) over (order by x desc),
sum(x) filter (where seqnum <= 0.25 * cnt) over (order by x desc)
from (select x, count(*) over () as cnt,
row_number() over (order by x) as seqnum
from generate_series(1, 8, 1) gs(x)
) x
order by x;
这是一个数据库<>小提琴。
虽然是标准的,但Postgres是唯一支持filter
的数据库。 逻辑可以很容易地替换为sum(case . . .)
。
下面是一个使用 SQL Server 的数据库<>小提琴。 对应的代码为:
with gs as (
select 1 as x union all
select x + 1 from gs where x < 8
)
select x,
sum(x) over (order by x desc),
sum(case when seqnum <= 0.5 * cnt then x end) over (order by x desc),
sum(case when seqnum <= 0.25 * cnt then x end) over (order by x desc)
from (select x, count(*) over () as cnt,
row_number() over (order by x) as seqnum
from gs
) x
order by x;