From: | "Daniel Verite" <daniel(at)manitou-mail(dot)org> |
---|---|
To: | "Gerhard Wiesinger" <lists(at)wiesinger(dot)com> |
Cc: | pgsql-general(at)postgresql(dot)org |
Subject: | Re: Sum of multiplied deltas |
Date: | 2009-06-08 23:31:08 |
Message-ID: | 0b992980-fe9f-4291-aa13-9d1608bd9e6d@mm |
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Lists: | pgsql-general |
Gerhard Wiesinger wrote:
> I've the following data:
> datetime | val1 | val2
> time1 | 4 | 40%
> time2 | 7 | 30%
> time3 | 12 | 20%
> ...
>
> I'd like to sum up the following:
>
> (7-4)*30% + (12-7)*20% + ...
>
> datetime is ordered (and unique and has also an id).
> 1.) Self join with one row shift?
Self-join only helps if the id comes from a gap-less sequence. Row
numbers could be used if available, but they are not in 8.3.
A possible way of solving this (when a procedural method is not wanted)
is to lay out the dataset in temporary arrays that are repeated for
every row you need to compute. That can be arranged in a self-contained
sql query, like this:
select sum((av1[i]-av1[i-1])*av2[i]) from
(select av1,av2,generate_series(2,array_upper(av1,1)) as i from
(select array_accum(val1) as av1, array_accum(val2) as av2 from
(select val1,val2 from TABLENAME order by datetime) s0
) s1
) s2
However, this would probably be too slow for a large dataset.
Best regards,
--
Daniel
PostgreSQL-powered mail user agent and storage:
http://www.manitou-mail.org
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