Re: Large data and slow queries

I'm curious why you have so many partial indexes. Are you trying to make
custom indexes per query? It seems to me you might want to consider making
the indexes general, and remove the redundant ones (that have the same
prefix list of indexed fields).

Secondly your table is 102Gb. Clearly there's a lot of data here. How many
rows does that take? I would further suggest that you partition this table
such that there are no more than about 10 million rows per partition (I've
done this by using a id % 100 computation). Maybe in your case it makes
sense to partition it based on the "what" field, because it appears you are
trying to do that with your partial indexes already.

On Wed, Apr 19, 2017 at 10:11 PM, Samuel Williams <
space(dot)ship(dot)traveller(at)gmail(dot)com> wrote:

> Okay, so after changing longitude/latitude to float4, and
> re-organizing the table a bit, I got the query down from about 8
> minutes to 40 seconds.
>
> The details are in the gist comments:
> https://gist.github.com/ioquatix/bddda36d9e4ffaceb7a62d7b62259121
>
> Now, just need to get performance another 2 orders of magnitude
> better. Can we make the index a bit more coarse grained, perhaps
> convert long/lat to integers or something, use a hilbert index, use a
> postgis index... ideas?
>
>
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