Anyone with suggestions on this?
On Mon, Nov 19, 2012 at 10:13 PM, Sujatha Arun <suja.a...@gmail.com> wrote: > Hi, > > Our requirement for auto complete is slightly complicated , We need two > types of auto complete > > 1. Meta data Auto complete > 2. Full text Content Auto complete > > In addition the metadata fields are multi-valued & we need to filter the > results for certain auto-complete both types > > After trying different approaches like > > 1)Suggester -We cannot filter results > 2)Terms Comp - We cannot filter > 3)Facets on Full text Content with Tokenized fields - Expensive > 4)Same core with n-gram Indexing and storing the results and using the > highlight component to fetch the snippet for autosuggest. > > The last approach which we are leaning towards has 2 draw backs - > > One- it returns duplicates data as ,some meta data is the same across > documents > Two- words are getting truncated at character when results are returned > with highlight > > > Mitigation for the above 2 issue could be : Remove duplicates after > obtaining results at Application (issue could be additional time for this) > Use fast > vector highlight that can help with full word snippets (could be heavy on > the Index Size) > > Anybody body has any suggestion / had similar requirements with successful > implementation? > > Other question ,what would be impact of serving the suggestions out of the > same core as the one we are searching while using highlight component for > fetching snippets. > > For our full text search requirements ,we are doing the highlight outside > solr, in our application and we would be storing and using the highlight , > only for suggestion. > > Thanks > Sujatha > > > > > > >
