On Tue, 20 Mar 2007 23:30:46 +0000, "Phil Endecott" <spam_from_postgresql_general@xxxxxxxxxxxx> wrote:
> I have two tables containing chronological data, and I want to join
> them using the timestamps. The challenge is that the timestamps only
> match approximately.
>
> My first attempt was something like
>
> t1 join t2 on (abs(t1.t-t2.t)<'1 min'::interval)
>
> Of course there is no "abs" for intervals, and I couldn't think of
> anything better than this
>
> t1 join t2 on (t1.t-t2.t<'1 min'::interval and t2.t-t1.t<'1 min'::interval)
How about using extract(epoch from t) to turn it into a numeric value?
select distinct on (t1.primary_key) *
from t1
join t2 on extract(epoch from t2.t) < extract(epoch from t1.t) + 30
and extract(epoch from t2.t) > extract(epoch from t1.t) - 30
order by t1.something,
abs(extract(epoch from t2.t) - extract(epoch from t1.t));
> What indexes could I add to make this moderately efficient?
If t is timestamp without time zone then you might be able to use an
index on it
create index t1_epoch_idx on t1 ((extract(epoch from t)))
create index t2_epoch_idx on t2 ((extract(epoch from t)))
> But that query isn't really good enough. There is no single "epsillon"
> value that works for this data set. I really want to find the closest match.
see order by. the +/- 30 in the above query can be used for tolerance
on the join.
> (One detail is that the left table has fewer rows than the right table,
> and I want one output row for each row in the left table.)
see distinct on.
klint.
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