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https://issues.apache.org/jira/browse/LUCENE-6712?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14650516#comment-14650516
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Nicholas Knize edited comment on LUCENE-6712 at 8/1/15 8:02 PM:
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Initial patch with the following changes:

* adds a GeoPointTermQueryConstantScoreWrapper for cutting over to doc values 
on boundary terms
* adds a GeoPointQueryPostFilter interface for Query specific filtering
* reduces precision_step from 6 to 8 (8 terms per point instead of 11)

Initial *rough* performance benchmarks indicate ~20% boost in query performance 
and ~42% smaller index (still need to run some due diligence on these numbers). 


was (Author: nknize):
Initial patch with the following changes:

* adds a GeoPointTermQueryConstantScoreWrapper for cutting over to doc values 
on boundary terms
* adds a GeoPointQueryPostFilter interface for Query specific filtering
* reduces precision_step from 6 to 8 (8 terms per point instead of 11)

Initial performance benchmarks indicate ~20% boost in query performance and 
~42% smaller index. 

> GeoPointField should cut over to DocValues for boundary filtering
> -----------------------------------------------------------------
>
>                 Key: LUCENE-6712
>                 URL: https://issues.apache.org/jira/browse/LUCENE-6712
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Nicholas Knize
>         Attachments: LUCENE-6712.patch
>
>
> Currently GeoPointField queries only use the Terms Dictionary for ranges that 
> fall within and on the boundary of the query shape.  For boundary ranges the 
> full precision terms are iterated, for within ranges the postings list is 
> used.
> Instead of iterating full precision terms for boundary ranges, this 
> enhancement cuts over to DocValues for post-filtering boundary terms. This 
> allows us to increase precisionStep for GeoPointField thereby reducing the 
> number of terms and the size of the index. This enhancement should also 
> provide a boost in query performance since visiting more docs and fewer terms 
> should be more efficient than visiting fewer docs and more terms. 



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