Was interested in it more for a document database scenario.  There are
great document stores with proper faceted search but none have a sql
interface, which is something my customer requires. Thought I might have
hit the jackpot with orientdb because it's great as a document database
with sql interface.   The only other document store with faceted search and
a sql interface that I know of is senseidb, but it's not active.
On Apr 4, 2014 8:19 AM, "Luca Garulli" <[email protected]> wrote:

> Hi,
> if you model your database in a graph, you've a node for everything.
> Example:
>
> Product ->* Category
>
> So you could issue a query like.
>
> select in().size() from Category where name = 'Book'
>
> This is very fast and no count operation is performed.
>
> Lvc@
>
>
>
> On 3 April 2014 15:33, Minnow Noir <[email protected]> wrote:
>
>> Following up?
>>
>>
>> On Sunday, March 30, 2014 7:16:57 PM UTC-4, Minnow Noir wrote:
>>>
>>>
>>> Does OrientDB support faceted search like Solr (
>>> http://wiki.apache.org/solr/SolrFacetingOverview) and other products?
>>> There's no mention of it anywhere on the web site, wiki, or Google that I
>>> can see.
>>>
>>> In case it's not clear, I'm referring to the ability to provide counts
>>> for, and filter by, indexed field values for a given result set.  For
>>> example, on Amazon.com, if you search for a product name, you can see the
>>> number of different types of products matching the search results, and by
>>> clicking on one of the product types causes the results to be filtered down
>>> to only products that were in the original result set *AND* have product
>>> type = selected product type.
>>>
>>> In Solr, this is done through dedicated constructs (e.g.,
>>> &fq=product_type:"selected_type").
>>>
>>> Thanks!
>>>
>>>
>>>
>>>
>>>
>>>  --
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