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Posted to dev@lucene.apache.org by "J.L. Hill (JIRA)" <ji...@apache.org> on 2014/04/04 23:43:19 UTC

[jira] [Issue Comment Deleted] (SOLR-2412) Multipath hierarchical faceting

     [ https://issues.apache.org/jira/browse/SOLR-2412?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

J.L. Hill updated SOLR-2412:
----------------------------

    Comment: was deleted

(was: Any suggestions on parsing the output? 
The hierarchical faceting seems to be working as described, but in my test 3-level hierarchy, converting the query xml  to a php array, it comes out being 13-levels deep. Parsing is complicated by the text strings of facet field being keys in the array. I have built a basic recursive function to parse the output, but after three days of trying, I am thinking there must be a better way to my desired result, which would be like a common html <ul> tree display. For a failed example of what I am trying:

Any suggestions appreciated.
)

> Multipath hierarchical faceting
> -------------------------------
>
>                 Key: SOLR-2412
>                 URL: https://issues.apache.org/jira/browse/SOLR-2412
>             Project: Solr
>          Issue Type: New Feature
>          Components: SearchComponents - other
>    Affects Versions: 4.0
>         Environment: Fast IO when huge hierarchies are used
>            Reporter: Toke Eskildsen
>              Labels: contrib, patch
>         Attachments: SOLR-2412.patch, SOLR-2412.patch, SOLR-2412.patch, SOLR-2412.patch, SOLR-2412.patch, SOLR-2412.patch, SOLR-2412.patch
>
>
> Hierarchical faceting with slow startup, low memory overhead and fast response. Distinguishing features as compared to SOLR-64 and SOLR-792 are
>   * Multiple paths per document
>   * Query-time analysis of the facet-field; no special requirements for indexing besides retaining separator characters in the terms used for faceting
>   * Optional custom sorting of tag values
>   * Recursive counting of references to tags at all levels of the output
> This is a shell around LUCENE-2369, making it work with the Solr API. The underlying principle is to reference terms by their ordinals and create an index wide documents to tags map, augmented with a compressed representation of hierarchical levels.



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