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From "Bill Bell (JIRA)" <j...@apache.org>
Subject [jira] [Issue Comment Edited] (LUCENE-3097) Post grouping faceting
Date Fri, 27 May 2011 02:21:47 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-3097?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13040033#comment-13040033
] 

Bill Bell edited comment on LUCENE-3097 at 5/27/11 2:19 AM:
------------------------------------------------------------

One way to do this would be to treat each grouping as unique fields. That would solve both
use cases:

My use case would work for top doc per group, but I can see that the counting looks for "unique
values in the field per group". So your example would "look like for counting" for color:

{code}
 name=3-wolf shirt
    color=red
    color=blue

  name=frog shirt
    color=white
    color=red
{code}

color
   red=2, blue=1, white=1

For size the counting looks like:

{code}
name=3-wolf shirt
    size=M, color=red
    size=S, color=red
    size=L, color=blue

  name=frog shirt
    size=M, color=white
    size=S, color=red
{code}

size
   M=2, S=2, L=1

And the facets for size would not change for:


{code}
name=3-wolf shirt
    size=M, color=red
    size=S, color=red
    size=L, color=blue
    size=S, color=blue
    size=S, color=blue
    size=L, color=blue

  name=frog shirt
    size=M, color=white
    size=S, color=red
{code}

Thanks.


      was (Author: billnbell):
    One way to do this would be to treat each grouping as unique fields. That would solve
both use cases:

My use case would work for top doc per group, but I can see that the counting looks for "unique
values in the field per group". So your example would "look like for counting" for color:

{quote}
 name=3-wolf shirt
    color=red
    color=blue

  name=frog shirt
    color=white
    color=red
{quote}

color
   red=2, blue=1, white=1

For size the counting looks like:

{quote}
name=3-wolf shirt
    size=M, color=red
    size=S, color=red
    size=L, color=blue

  name=frog shirt
    size=M, color=white
    size=S, color=red
{quote}

size
   M=2, S=2, L=1

And the facets for size would not change for:


{quote}
name=3-wolf shirt
    size=M, color=red
    size=S, color=red
    size=L, color=blue
    size=S, color=blue
    size=S, color=blue
    size=L, color=blue

  name=frog shirt
    size=M, color=white
    size=S, color=red
{quote}

Thanks.

  
> Post grouping faceting
> ----------------------
>
>                 Key: LUCENE-3097
>                 URL: https://issues.apache.org/jira/browse/LUCENE-3097
>             Project: Lucene - Java
>          Issue Type: New Feature
>          Components: modules/grouping
>            Reporter: Martijn van Groningen
>            Assignee: Martijn van Groningen
>            Priority: Minor
>             Fix For: 3.2, 4.0
>
>         Attachments: LUCENE-3097.patch
>
>
> This issues focuses on implementing post grouping faceting.
> * How to handle multivalued fields. What field value to show with the facet.
> * Where the facet counts should be based on
> ** Facet counts can be based on the normal documents. Ungrouped counts. 
> ** Facet counts can be based on the groups. Grouped counts.
> ** Facet counts can be based on the combination of group value and facet value. Matrix
counts.   
> And properly more implementation options.
> The first two methods are implemented in the SOLR-236 patch. For the first option it
calculates a DocSet based on the individual documents from the query result. For the second
option it calculates a DocSet for all the most relevant documents of a group. Once the DocSet
is computed the FacetComponent and StatsComponent use one the DocSet to create facets and
statistics.  
> This last one is a bit more complex. I think it is best explained with an example. Lets
say we search on travel offers:
> |||hotel||departure_airport||duration||
> |Hotel a|AMS|5
> |Hotel a|DUS|10
> |Hotel b|AMS|5
> |Hotel b|AMS|10
> If we group by hotel and have a facet for airport. Most end users expect (according to
my experience off course) the following airport facet:
> AMS: 2
> DUS: 1
> The above result can't be achieved by the first two methods. You either get counts AMS:3
and DUS:1 or 1 for both airports.

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