Hi
Thanks for testing it. We have used it quite bit and have not seen any scaling
problems yet.
For a layer with 8 million polygons (about 1 billion points) it takes about one
minute to create a content based grid. (Se example further down)
We use the && operator to check intersection to
http://www.keittlab.org/
On Wed, Mar 1, 2017 at 5:28 AM, Jonathan Moules <
jonathan-li...@lightpear.com> wrote:
> Hi List,
> I've got a database of about 60 million spatial features that I need to
> run through a process.
>
> The process can't do all of them at once, so I want to get the data
How about:
1. Take a centroid of each shape,
2. Rounding it’s x and y coordinates to whole lat/lon values
3. Ordering by lat_round, lon_round and these values would proceed in a gridded
fashion.
Ex: select oid, floor(st_x(the_geom)) as x_index, floor(st_y(the_geom)) as
y_index from
Thanks for the suggestions. Some thoughts after testing:
Darafei: (order by ST_Geohash) Interesting notion, but when implemented the
grouping is tenuous at best. If I return 5,000 features they can be spread over
200km (bad) or 6km (good). It'd definitely better clustered than without this,
