[postgis-users] Will it work, or am I overlooking something?
hubert depesz lubaczewski
depesz at gmail.com
Mon Jun 16 05:42:17 PDT 2014
On Sun, Jun 15, 2014 at 1:23 AM, Åsmund Tokheim <asmundto at gmail.com> wrote:
> As far as I can see, there are some cases where your algorithm won't
> produce optimal solutions. E.g if you search for neighbours around origo,
> and there are lots points with coordinates like (1, 1, 1000), (1, 1000, 1),
> (1000, 1, 1), then your unions might fail include points like (5, 5, 5).
> Your result could be used as an upper bound for the distance where the
> optimal solution lies. By 3d-ordering all the points within a bounding box
> with side-lengths 2*(your upper bound) you should have a guaranteed optimal
> solution. The number of points within the bbox might (and should normally)
> be much more than the number of neighbours that you are searching for, so
> I'm not sure if I would recommend such a complicated approach out of
> performance considerations.
>
Sorry, but I fail to see such case - if point is close, it will be also
close on at least one of 3 planes (x,y), (x,z), (y,z)
Speaking about performance, are you aware that your query probably doesn't
> make use of any spatial index?
>
It does. Tested.
> I think you would have to generate columns with 2d-versions of the_point
> in the xy, xz and yz-planes, and index each of those columns in order for
> the index to be used. This means that your current query would probably run
> about 3x slower than simply using st_3ddistance from the beginning.
>
As far as I was able to test, "select * from table order by
st_3ddistance(geometry, '') limit 20" doesn't use index.
> My best attempt at an optimized 3d kNN-search would be something like:
> 1. Select all points within some reasonable bbox
> 2. If the number of points is k or more, then sort and return the first k
> points. Otherwise restart from 1 with an expanded bbox.
> It could be possible to let the expansion of the bbox in step 2 depend on
> the number of points returned, but I would be careful not to have the
> algorithm repeat too many times.
>
We thought about it, but deciding what is reasonable box might be
complicated. And in my approach, I'm merely getting 3x number of rows from
3 different indexes, and it was (in my tests) VERY fast.
depesz
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