[ 
https://issues.apache.org/jira/browse/SOLR-2155?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

David Smiley updated SOLR-2155:
-------------------------------

    Description: 
{panel:title=NOTICE} There is a .zip attached to the issue with a .jar you can 
drop in to Solr 3.x.  Lucene 4's new spatial module is largely based on this 
code.  The Solr 4 glue for it should come very soon but as of this writing it's 
hosted temporarily at Spatial4j.com.  For more information on using SOLR-2155 
with Solr 3, see http://wiki.apache.org/solr/SpatialSearch#SOLR-2155  This JIRA 
issue is closed because it won't be committed in its current form.
{panel}

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.

  was:
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.

    
> 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
>         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, Solr2155-1.0.4-project.zip, 
> Solr2155-for-1.0.2-3.x-port.patch
>
>
> {panel:title=NOTICE} There is a .zip attached to the issue with a .jar you 
> can drop in to Solr 3.x.  Lucene 4's new spatial module is largely based on 
> this code.  The Solr 4 glue for it should come very soon but as of this 
> writing it's hosted temporarily at Spatial4j.com.  For more information on 
> using SOLR-2155 with Solr 3, see 
> http://wiki.apache.org/solr/SpatialSearch#SOLR-2155  This JIRA issue is 
> closed because it won't be committed in its current form.
> {panel}
> 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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