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https://issues.apache.org/jira/browse/SOLR-10039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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David Smiley updated SOLR-10039:
--------------------------------
    Attachment: SOLR_10039_LatLonPointSpatialField.patch

Last patch; I think it's ready now.  This _replaces_ {{solr.LatLonType}} with 
{{solr.LatLonPointSpatialField}} in the solr/server/solr/configsets/ schemas.  

However it doesn't modify solr/example/ schemas... I wish those schemas were 
stripped down so that they were easier to maintain (separate issue).  Thoughts 
[~arafalov]?

> LatLonPointSpatialField
> -----------------------
>
>                 Key: SOLR-10039
>                 URL: https://issues.apache.org/jira/browse/SOLR-10039
>             Project: Solr
>          Issue Type: New Feature
>      Security Level: Public(Default Security Level. Issues are Public) 
>          Components: spatial
>            Reporter: David Smiley
>            Assignee: David Smiley
>         Attachments: SOLR_10039_LatLonPointSpatialField.patch, 
> SOLR_10039_LatLonPointSpatialField.patch, 
> SOLR_10039_LatLonPointSpatialField.patch
>
>
> The fastest and most efficient spatial field for point data in Lucene/Solr is 
> {{LatLonPoint}} in Lucene's sandbox module.  I'll include 
> {{LatLonDocValuesField}} with this even though it's a separate class.  
> LatLonPoint is based on the Points API, using a BKD index.  It's multi-valued 
> capable.  LatLonDocValuesField is based on sorted numeric DocValues, and thus 
> is also multi-valued capable (a big deal as the existing Solr ones either 
> aren't or do poorly at it).  Note that this feature is limited to a 
> latitude/longitude spherical world model.  And furthermore the precision is 
> at about a centimeter -- less precise than the other spatial fields but 
> nonetheless plenty good for most applications.  Last but not least, this 
> capability natively supports polygons, albeit those that don't wrap the 
> dateline or a pole.
> I propose a {{LatLonPointSpatialField}} which uses this.  Patch & details 
> forthcoming...
> This development was funded by the Harvard Center for Geographic Analysis as 
> part of the HHypermap project



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