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David Smiley commented on SOLR-2155: ------------------------------------ Oliver: Your scenario is interesting but I wouldn't recommend spatial for that. A key part of spatial is the use of a numerical range. In your case there are discrete values. Instead, I recommend you experiment with phrase queries, and if you are expert in Lucene then span queries. As a toy hack example, imagine indexing each of these values in the form "senior developer java" (3 words, one for each part). We assume each value tokenizes as one token. Then search for "the developer java" in which "the" was substituted as a kind of wildcard for the first position to find java developers in all levels of experience. "The" is a stopword and in effect creates a wildcard placeholder. If you search the solr-user list then you will see information on this topic. I've solved this problem in a different more difficult way because my values were not single tokens, but based on the example you present, the solution I present here isn't bad. If you want to discuss this further I recommend the solr-user list. > 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 > Assignee: Grant Ingersoll > 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-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org