How to implement faceted search suggestion with number of relevant items in Solr?

Hi I have a very specific need in my company for the system's search engine, and I can't seem to find a solution.

We have a SOLR index of items, all of them have the same fields, with one of the fields being "Type", (And ofcourse, "Title", "Text", and so on).

What I need is: I get an Item Type and a Query String, and I need to return a list of search suggestion with each also saying how meny items of the correct type will that suggested string return.

Something like, if the original string is "goo开发者_运维技巧" I'll get

Goo 10 Google 52 Goolag 2

and so on.

now, How do I do it? I don't want to re-query SOLR for each different suggestion, but if there is no other way, I just might.

Thanks in advance

you can try edge n-gram tokenization http://search.lucidimagination.com/search/document/CDRG_ch05_5.5.6

You can try facets. Take a look at my more detailed description ('Autocompletion').

This was implemented at http://jetwick.com with Solr ... now using ElasticSearch but the Solr sources are still available and the idea is also the identical https://github.com/karussell/Jetwick

The SpellCheckComponent of Solr (that gives the suggestions) have extended results that can give the frequency of every suggestion in the index - http://wiki.apache.org/solr/SpellCheckComponent#Extended_Results.

However, the .Net component SolrNet, does not currently seem to support the extendedResults option: "All of the SpellCheckComponent parameters are supported, except for the extendedResults option" - http://code.google.com/p/solrnet/wiki/SpellChecking.

This is implemented using a facet field query with a Prefix set. You can test this using the xml handler like this:

http://localhost:8983/solr/select/?rows=0&facet=true&facet.field=type&f.type.prefix=goo