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https://issues.apache.org/jira/browse/SOLR-2155?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13128980#comment-13128980
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Olivier Jacquet commented on SOLR-2155:
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I just wanted to mention another use case for multivalued point fields since 
everyone is always talking about this in a location context.

The PointType can also be used to categorize other other stuff. In my case 
we're storing qualifications of persons as a tuple of experience, function and 
skill (eg. senior, developer, java) which are internally represented by 
numerical ids. Now with Solr I would like to be able to do the query: "return 
everything that is a java developer" which would be the same as asking for all 
points on a certain line.
                
> Geospatial search using geohash prefixes
> ----------------------------------------
>
>                 Key: SOLR-2155
>                 URL: https://issues.apache.org/jira/browse/SOLR-2155
>             Project: Solr
>          Issue Type: Improvement
>            Reporter: David Smiley
>            Assignee: Grant Ingersoll
>         Attachments: GeoHashPrefixFilter.patch, GeoHashPrefixFilter.patch, 
> GeoHashPrefixFilter.patch, 
> SOLR-2155_GeoHashPrefixFilter_with_sorting_no_poly.patch, SOLR.2155.p3.patch, 
> SOLR.2155.p3tests.patch, Solr2155-1.0.2-project.zip, 
> Solr2155-1.0.3-project.zip, Solr2155-for-1.0.2-3.x-port.patch
>
>
> There currently isn't a solution in Solr for doing geospatial filtering on 
> documents that have a variable number of points.  This scenario occurs when 
> there is location extraction (i.e. via a "gazateer") occurring on free text.  
> None, one, or many geospatial locations might be extracted from any given 
> document and users want to limit their search results to those occurring in a 
> user-specified area.
> I've implemented this by furthering the GeoHash based work in Lucene/Solr 
> with a geohash prefix based filter.  A geohash refers to a lat-lon box on the 
> earth.  Each successive character added further subdivides the box into a 4x8 
> (or 8x4 depending on the even/odd length of the geohash) grid.  The first 
> step in this scheme is figuring out which geohash grid squares cover the 
> user's search query.  I've added various extra methods to GeoHashUtils (and 
> added tests) to assist in this purpose.  The next step is an actual Lucene 
> Filter, GeoHashPrefixFilter, that uses these geohash prefixes in 
> TermsEnum.seek() to skip to relevant grid squares in the index.  Once a 
> matching geohash grid is found, the points therein are compared against the 
> user's query to see if it matches.  I created an abstraction GeoShape 
> extended by subclasses named PointDistance... and CartesianBox.... to support 
> different queried shapes so that the filter need not care about these details.
> This work was presented at LuceneRevolution in Boston on October 8th.

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