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From "Bill Bell (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-2155) Geospatial search using geohash prefixes
Date Mon, 26 Mar 2012 22:36:28 GMT

    [ https://issues.apache.org/jira/browse/SOLR-2155?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13238921#comment-13238921
] 

Bill Bell commented on SOLR-2155:
---------------------------------

David,

We are seeing weird slow performance on your new 1.0.4 release.

INFO: [providersearch] webapp=/solr path=/select params={d=160.9344&facet=false&wt=json&rows=6&start=0&pt=42.6450,-73.7777&facet.field=5star_45&f.5star_45.facet.mincount=1&qt=providersearchspecdist&fq=specialties_ids:(45+)&qq=city_state_lower:"albany,+ny"&f.5star_45.facet.limit=-1}
hits=960 status=0 QTime=8222 

Hitting that with a slightly different lat long comes back almost instantly. I'm not sure
why sometimes they take seconds instead of milliseconds.  There is also this log entry a few
lines before the long query:

Mar 22, 2012 11:26:29 AM solr2155.solr.search.function.GeoHashValueSource <init>
INFO: field 'store_geohash' in RAM: loaded min/avg/max per doc #: (1,1.1089503,11) #2270017

Are we missing something? Shall we go back to 1.0.3 ?

Shall I increase the following?  What does this actually do?

    <cache name="fieldValueCache"
        class="solr.FastLRUCache" size="10" initialSize="1"
        autowarmCount="1"/> 


                
> 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
>
>
> 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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