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https://issues.apache.org/jira/browse/SOLR-3973?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13481198#comment-13481198
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ZhengBowen commented on SOLR-3973:
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We often come across the scene of the multi-faceted cross, For example, the SQL 
statement, select count( * ) from table group by A,B.

so, this patch is to surport faceting on multiple columns, and you can get the 
counts result of multi-faceted cross.

i come from alipay in china, we use Solr to build multidimensional analysis 
platform for mass data.
                
> Cross facet, faceting on multiple columns.
> ------------------------------------------
>
>                 Key: SOLR-3973
>                 URL: https://issues.apache.org/jira/browse/SOLR-3973
>             Project: Solr
>          Issue Type: Improvement
>          Components: SearchComponents - other
>    Affects Versions: 3.5
>            Reporter: ZhengBowen
>              Labels: cross, facet, solr
>             Fix For: 3.5
>
>         Attachments: crossfacet.patch
>
>
> We often come across the scene of the multi-faceted cross, For example, the 
> SQL statement, select count( * ) from table group by A,B. 
> Now we slightly modified for FacetComponent, this component to be able to 
> support the multi-faceted cross.you can facet on multiple columns, and get 
> the count result of multi-faceted cross.
> Request parameters are as follows:
> &start=0&rows=0&q=*:*&facet=true&facet.field=user_city&facet.field=user_province&facet.limit=10&facet.cross=true&facet.cross.sep=,
> The original effect is as follows:
> <result name="response" numFound="479140" start="0" sum="0.0" max="-Infinity" 
> min="Infinity"/>
> <lst name="facet_counts">
> <lst name="facet_queries"/>
> <lst name="facet_fields">
> <lst name="user_city">
> <int name="Beijing">16852</int>
> <int name="ShangHai">16787</int>
> <int name="Gunagzhou">12950</int>
> <int name="Shenzhen">11667</int>
> <int name="Hangzhou">9997</int>
> <int name="Chongqing">7624</int>
> <int name="Chengdu">7082</int>
> <int name="Wuhan">6894</int>
> <int name="Suzhou">6528</int>
> <int name="Tianjin">5822</int>
> </lst>
> <lst name="user_province">
> <int name="Gunagdong">48621</int>
> <int name="Zhengjiang">34634</int>
> <int name="Jiangsu">28748</int>
> <int name="Shandong">20389</int>
> <int name="Fujian">18508</int>
> <int name="Beijing">16852</int>
> <int name="Shanghai">16787</int>
> <int name="Hubei">15227</int>
> <int name="Sichuan">15112</int>
> <int name="Hebei">13793</int>
> </lst>
> </lst>
> <lst name="facet_numTerms"/>
> <lst name="facet_dates"/>
> <lst name="facet_ranges"/>
> </lst>
> The effect of the new features are as follows:
> <result name="response" numFound="479140" start="0" sum="0.0" max="-Infinity" 
> min="Infinity"/>
> <lst name="facet_counts">
> <lst name="facet_queries"/>
> <lst name="facet_fields">
>   <lst name="user_city,user_province">
>   <int name="Beijing,Beijing">16852</int>
>   <int name="Shanghai,Shanghai">16787</int>
>   <int name="Guangzhou,Gunagdong">12950</int>
>   <int name="Shenzheng,Guangdong">11667</int>
>   <int name="Hangzhou,Zhejiang">9997</int>
>   <int name="Chongqing,Chongqing">7624</int>
>   <int name="Chengdu,Sichuan">7082</int>
>   <int name="Wuhan,Hubei">6894</int>
>   <int name="Suzhou,Jiangsu">6528</int>
> </lst>
> </lst>
> <lst name="facet_numTerms"/>
> <lst name="facet_dates"/>
> <lst name="facet_ranges"/>
> </lst>
> </response>

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