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Posted to dev@lucene.apache.org by "ASF subversion and git services (JIRA)" <ji...@apache.org> on 2014/11/05 00:10:33 UTC

[jira] [Commented] (SOLR-6351) Let Stats Hang off of Pivots (via 'tag')

    [ https://issues.apache.org/jira/browse/SOLR-6351?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14197079#comment-14197079 ] 

ASF subversion and git services commented on SOLR-6351:
-------------------------------------------------------

Commit 1636772 from hossman@apache.org in branch 'dev/trunk'
[ https://svn.apache.org/r1636772 ]

SOLR-6351: Stats can now be nested under pivot values by adding a 'stats' local param

> Let Stats Hang off of Pivots (via 'tag')
> ----------------------------------------
>
>                 Key: SOLR-6351
>                 URL: https://issues.apache.org/jira/browse/SOLR-6351
>             Project: Solr
>          Issue Type: Sub-task
>            Reporter: Hoss Man
>         Attachments: SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch
>
>
> he goal here is basically flip the notion of "stats.facet" on it's head, so that instead of asking the stats component to also do some faceting (something that's never worked well with the variety of field types and has never worked in distributed mode) we instead ask the PivotFacet code to compute some stats X for each leaf in a pivot.  We'll do this with the existing {{stats.field}} params, but we'll leverage the {{tag}} local param of the {{stats.field}} instances to be able to associate which stats we want hanging off of which {{facet.pivot}}
> Example...
> {noformat}
> facet.pivot={!stats=s1}category,manufacturer
> stats.field={!key=avg_price tag=s1 mean=true}price
> stats.field={!tag=s1 min=true max=true}user_rating
> {noformat}
> ...with the request above, in addition to computing the min/max user_rating and mean price (labeled "avg_price") over the entire result set, the PivotFacet component will also include those stats for every node of the tree it builds up when generating a pivot of the fields "category,manufacturer"



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