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https://issues.apache.org/jira/browse/LUCENE-6450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14541960#comment-14541960
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Nicholas Knize commented on LUCENE-6450:
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yes yes! That's the idea anyway. I've tinkered with this a bit already. It
took the same amount of time to build the Automaton as it did the ranges (no
surprises since it used the same logic) but queries were on the order of 10x
slower (0.8sec/query on 60M points). Thinking maybe there's some optimization
to the automaton that needs to be done? I figured first make progress here and
post a separate issue for the automaton WIP.
> Add simple encoded GeoPointField type to core
> ---------------------------------------------
>
> Key: LUCENE-6450
> URL: https://issues.apache.org/jira/browse/LUCENE-6450
> Project: Lucene - Core
> Issue Type: New Feature
> Affects Versions: Trunk, 5.x
> Reporter: Nicholas Knize
> Priority: Minor
> Attachments: LUCENE-6450-5x.patch, LUCENE-6450-TRUNK.patch,
> LUCENE-6450.patch, LUCENE-6450.patch, LUCENE-6450.patch, LUCENE-6450.patch
>
>
> At the moment all spatial capabilities, including basic point based indexing
> and querying, require the lucene-spatial module. The spatial module, designed
> to handle all things geo, requires dependency overhead (s4j, jts) to provide
> spatial rigor for even the most simplistic spatial search use-cases (e.g.,
> lat/lon bounding box, point in poly, distance search). This feature trims the
> overhead by adding a new GeoPointField type to core along with
> GeoBoundingBoxQuery and GeoPolygonQuery classes to the .search package. This
> field is intended as a straightforward lightweight type for the most basic
> geo point use-cases without the overhead.
> The field uses simple bit twiddling operations (currently morton hashing) to
> encode lat/lon into a single long term. The queries leverage simple
> multi-phase filtering that starts by leveraging NumericRangeQuery to reduce
> candidate terms deferring the more expensive mathematics to the smaller
> candidate sets.
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