The difficulty in this is that unlike other facets counts those are to
be dynamically computed.
The current facet systems (either native Lucene or Hibernate ones) are
using the Lucen Token reverse
indexes performance to compute the facets on queries results that can
be very large.
This cannot be done here as the distance to the search center is dynamic.
If you have a query with 10k result and you display only the first ten
results as first page and to strengthen
the search you want geo facets then you have to compute distance on
all the 10k results to produce that.
On the performance PoV this will fail.
Niko
2013/7/3 Emmanuel Bernard <emmanuel(a)hibernate.org>:
I'm more interested in something like
Within 10 kms (23)
Between 10 and 50 kms (45)
Above 50 kms (75)
On Wed 2013-07-03 11:24, Nicolas Helleringer wrote:
> Was is demonstrated here has nothing of a facet : these are only aggregates.
>
> <quote>
> GeoDistanceFacet results:
> -------------------------------------------------------------
> Distance from origin: 0.0
> Distance to requested: 1000.0
> Number of results: 29
> Minimum distance: 0.0
> Maximum distance: 899.5358131385483
> Sum of distances: 17320.209230844222
> Mean distance: 597.2485941670421
> </quote>
>
> I see nothing we cannot do.
>
> Niko
>
> 2013/7/3 Emmanuel Bernard <emmanuel(a)hibernate.org>:
> > This morning I was reading
http://hashmade.fr/elastic-search-geo-distance-search-with-sorted-and-fac...
> > And the code
https://github.com/jsebrien/elastic-search-tests
> >
> > I have to say that we compare quite well in number of lines of code and
readability. Considering that ElasticSearch is considered the easy tool / API in the
search space, I did not expect that.
> >
> > We could do better on the facet side, I particular to retrieve the facet data.
> >
> > By the way, they offer a way to facet by spatial distance, Hardy, Nicolas, how
hard would it be to do the same?
> >
> > Emmanuel
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> >
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