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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-7845) spatial RPT optimization when query by point or common date range
Date Mon, 05 Jun 2017 16:46:04 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-7845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16037194#comment-16037194
] 

ASF subversion and git services commented on LUCENE-7845:
---------------------------------------------------------

Commit 6b022c98f9a1f69de17445004ce8464ee936e51c in lucene-solr's branch refs/heads/master
from [~dsmiley]
[ https://git-wip-us.apache.org/repos/asf?p=lucene-solr.git;h=6b022c9 ]

LUCENE-7845: spatial-extras undo optimize; don't consider any rect or circle to be a point


> spatial RPT optimization when query by point or common date range
> -----------------------------------------------------------------
>
>                 Key: LUCENE-7845
>                 URL: https://issues.apache.org/jira/browse/LUCENE-7845
>             Project: Lucene - Core
>          Issue Type: Improvement
>          Components: modules/spatial-extras
>            Reporter: David Smiley
>            Assignee: David Smiley
>             Fix For: master (7.0)
>
>         Attachments: LUCENE_7845_query_by_point_optimization.patch
>
>
> If the query to an RPT index is a 2D point, or if using NumerBrangePrefixTreeStrategy
/ DateRangePrefixTree (Solr DateRangeField) if the query is a grid cell (a common date range
unit like some particular day), then we can do some optimizations, especially if the data
is pointsOnly.  If the data is pointsOnly the strategy can return a TermQuery, if the data
isn't then we can at least tweak the prefixGridScanLevel.  This is motivated by two scenarios:
> * indexing polygons and doing lookups by a point (AKA reverse geocoding)
> * indexing date instances and doing date range faceting. Solr's code for this has a fast
path for a TermQuery, although more is needed beyond this issue to get there.
> _This development was funded by the Harvard Center for Geographic Analysis as part of
the HHypermap project_



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