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Date: Mon, 21 Nov 2011 07:49:54 -0500
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Subject: Re: Filtering search results
From: Erick Erickson <erickerickson@gmail.com>
To: java-user@lucene.apache.org
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You might take a look at grouping, aka field collapsing. Faceting gives
you counts for various values in a field, but not a mixture of documents,
whereas grouping will return you the top N members of each group
which sounds like what you're after.

Best
Erick

On Mon, Nov 21, 2011 at 5:04 AM, Ian Lea <ian.lea@gmail.com> wrote:
> Running two queries is fine, as is looping through the results list.
> I don't think it is clear that one in necessarily "better" than the
> other. =A0Faceting generally works by looping through results because
> you typically don't know in advance what values will be present.
>
> --
> Ian,
>
>
> 2011/11/21 liugangc <liugangc@gmail.com>:
>> hi,faceted search is like group by in SQL, and also need query two time =
to get two list in your situation. I think there isn't =A0better way to sol=
ve your problem.
>>
>> --
>> gang liu
>> email: liugangc@gmail.com
>>
>>
>>
>> At 2011-11-21 09:35:08,"Felipe Carvalho" <felipe.carvalho@gmail.com> wro=
te:
>>>Hello,
>>> =A0I'm working on a people finder app over an index built of Person
>>>documents. Among other attributes (name, gender, phone, ...) I have a
>>>hiringType attribute, which possible values are EMPLOYEE and CONSULTANT.
>>> =A0When I run a "name" search over these documents, I need to render tw=
o
>>>lists: employees that match the search criteria and consultants that mat=
ch
>>>the criteria.
>>> =A0I'm running Lucene 3.4, is there a way for Lucene to hand me over th=
ose
>>>lists of documents separately on the same query?
>>> =A0Currently I run the query and then loop through the results, separat=
ing
>>>employees and consultants in two lists, is there a better way to do this=
?
>>> =A0A heard a colleague saying Solr supports this through "faceted searc=
h"
>>>(I'm not sure this is the right name), is there such thing on Lucene as
>>>well? (unfortunately using Solr is not an option for this app)
>>>
>>>Thanks!
>>
>
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