Re: Fast insert, but slow join and updates for table with 4 billion rows

On Mon, Oct 24, 2016 at 2:07 PM, Lars Aksel Opsahl <Lars(dot)Opsahl(at)nibio(dot)no> wrote:
> Hi
>
> Yes this makes both the update and both selects much faster. We are now down to 3000 ms. for select, but then I get a problem with another SQL where I only use epoch in the query.
>
> SELECT count(o.*) FROM met_vaer_wisline.nora_bc25_observation o WHERE o.epoch = 1288440000;
> count
> -------
> 97831
> (1 row)
> Time: 92763.389 ms
>
> To get the SQL above work fast it seems like we also need a single index on the epoch column, this means two indexes on the same column and that eats memory when we have more than 4 billion rows.
>
> Is it any way to avoid to two indexes on the epoch column ?

You could try reversing the order. Basically whatever comes first in a
two column index is easier / possible for postgres to use like a
single column index. If not. then you're probably stuck with two
indexes.