Return-Path: X-Original-To: apmail-lucene-dev-archive@www.apache.org Delivered-To: apmail-lucene-dev-archive@www.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 304CAB520 for ; Thu, 12 Jan 2012 20:47:04 +0000 (UTC) Received: (qmail 65389 invoked by uid 500); 12 Jan 2012 20:47:02 -0000 Delivered-To: apmail-lucene-dev-archive@lucene.apache.org Received: (qmail 65304 invoked by uid 500); 12 Jan 2012 20:47:02 -0000 Mailing-List: contact dev-help@lucene.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@lucene.apache.org Delivered-To: mailing list dev@lucene.apache.org Received: (qmail 65293 invoked by uid 99); 12 Jan 2012 20:47:01 -0000 Received: from athena.apache.org (HELO athena.apache.org) (140.211.11.136) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 12 Jan 2012 20:47:01 +0000 X-ASF-Spam-Status: No, hits=-2000.0 required=5.0 tests=ALL_TRUSTED,T_RP_MATCHES_RCVD X-Spam-Check-By: apache.org Received: from [140.211.11.116] (HELO hel.zones.apache.org) (140.211.11.116) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 12 Jan 2012 20:47:00 +0000 Received: from hel.zones.apache.org (hel.zones.apache.org [140.211.11.116]) by hel.zones.apache.org (Postfix) with ESMTP id A71E714764A for ; Thu, 12 Jan 2012 20:46:40 +0000 (UTC) Date: Thu, 12 Jan 2012 20:46:40 +0000 (UTC) From: "David Smiley (Commented) (JIRA)" To: dev@lucene.apache.org Message-ID: <904248488.35927.1326401200685.JavaMail.tomcat@hel.zones.apache.org> Subject: [jira] [Commented] (SOLR-2155) Geospatial search using geohash prefixes MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/SOLR-2155?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13185224#comment-13185224 ] David Smiley commented on SOLR-2155: ------------------------------------ Srikanth, # According to the table on wikipedia, a geohash length of 8 translates to +- 19 meters error. This means that if you do a filter query, it may match points that are <=19 meters outside of the query shape erroneously, or it may exclude points <= 19 meters within the query shape erroneously. The accuracy is associated to the indexing of the data, not the query shape. # At query time, if you only do geospatial filters, then there is *no* RAM requirement for this field. *If* you sort by distance or influence relevancy by distance, then the indexed points are all brought into memory "inverted" so that the center of the query shape can be compared against all indexed points for documents matching the query. LatLonType does the same thing for the same reason, but this code is multiValue aware, returning the closest indexed point a document has to the query shape. When a commit happens on Solr, this in-memory cache is unused and garbage collected, and the data is brought into memory again. > 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-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. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscribe@lucene.apache.org For additional commands, e-mail: dev-help@lucene.apache.org