Oops, sorry! Don't know how I missed that.

Have you tested if it makes any difference if you put the sfield
parameter inside the fq like in the example
(https://lucene.apache.org/solr/guide/8_1/spatial-search.html#geofilt)?
We actually put pt and d in there too, e.g.

{!geofilt+sfield%3Dlocation_geo+pt%3D61.2%2C24.9+d%3D1}

--Ere

Sanders, Marshall (CAI - Atlanta) kirjoitti 24.7.2019 klo 16.33:
> My example query has d=1 as the first parameter, so none of the results 
> should be coming back, but they are which makes it seem like it's not doing 
> any geofiltering for some reason.
> 
> On 7/24/19, 2:06 AM, "Ere Maijala" <ere.maij...@helsinki.fi> wrote:
> 
>     I think you might be missing the d parameter in geofilt. I'm not sure if
>     geofilt actually does anything useful without it.
>     
>     Regards,
>     Ere
>     
>     Sanders, Marshall (CAI - Atlanta) kirjoitti 23.7.2019 klo 21.32:
>     > We’re trying to index a polygon into solr and then filter/calculate 
> geodist on the polygon (ideally we actually want a circle, but it looks like 
> that’s not really supported officially by wkt/geojson and instead you have to 
> switch format=”legacy” which seems like something that might be removed in 
> the future so don’t want to rely on it).
>     > 
>     > Here’s the info from schema:
>     > <field name="latlng" type="location_rpt" indexed="true" stored="true" 
> multiValued="true"/>
>     > 
>     > <fieldType name="location_rpt" 
> class="solr.SpatialRecursivePrefixTreeFieldType"
>     >                    geo="true" distErrPct="0.025" maxDistErr="0.000009" 
> distanceUnits="kilometers"
>     >                     spatialContextFactory="Geo3D"/>
>     > 
>     > 
>     > We’ve tried indexing some different data, but to keep it as simple as 
> possible we started with a triangle (will eventually add more points to 
> approximate a circle).  Here’s an example document that we’ve added just for 
> testing:
>     > 
>     > {
>     > "latlng": ["POLYGON((33.7942704 -84.4412613, 33.7100611 -84.4028091, 
> 33.7802888 -84.3279648, 33.7942704 -84.4412613))"],
>     > "ID": "284598223"
>     > }
>     > 
>     > 
>     > However, it seems like filtering/distance calculations aren’t working 
> (at least not the way we are used to doing it for points).  Here’s an example 
> query where the pt is several hundred kilometers away from the polygon, yet 
> the document still returns.  Also, it seems that regardless of origin point 
> or polygon location the calculated geodist is always 20015.115
>     > 
>     > Example query:
>     > 
> select?d=1&fl=ID,latlng,geodist()&fq=%7B!geofilt%7D&indent=on&pt=33.9798087,-94.3286133&q=*:*&sfield=latlng&wt=json
>     > 
>     > Example documents coming back anyway:
>     > "docs": [
>     > {
>     > "latlng": ["POLYGON((33.7942704 -84.4412613, 33.7100611 -84.4028091, 
> 33.7802888 -84.3279648, 33.7942704 -84.4412613))"],
>     > "ID": "284598223",
>     > "geodist()": 20015.115
>     > },
>     > {
>     > "latlng": ["POLYGON((33.7942704 -84.4412613, 33.7100611 -84.4028091, 
> 33.7802888 -84.3279648, 33.7942704 -84.4412613))"],
>     > "ID": "284600596",
>     > "geodist()": 20015.115
>     > }
>     > ]
>     > 
>     > 
>     > Anyone who has experience in this area can you point us in the right 
> direction about what we’re doing incorrectly with either how we are indexing 
> the data and/or how we are querying against the polygons.
>     > 
>     > Thank you,
>     > 
>     > 
>     > --
>     > Marshall Sanders
>     > Principal Software Engineer
>     > Autotrader.com
>     > 
> marshall.sande...@coxautoinc.com<mailto:marshall.sande...@coxautoinc.com>
>     > 
>     > 
>     
>     -- 
>     Ere Maijala
>     Kansalliskirjasto / The National Library of Finland
>     
> 

-- 
Ere Maijala
Kansalliskirjasto / The National Library of Finland

Reply via email to