search for: untokenized_omit_norm

...s Post < ActiveRecord::Base acts_as_ferret :fields => { :title => {:boost => 2}, :description => {}, :url => {}, :rank_sort => {:index => :untokenized_omit_norms, :term_vector => :no}, :posted_at_sort => {:index => :untokenized_omit_norms, :term_vector => :no} }, :remote => true belongs_to :blog def rank_sort begin return self.blog.rank_links.to_i rescue...

...oblem or like a "feature"? another little problem i''ve found is that i''ve written this for the search: acts_as_ferret :fields => {:title => {}, :category_id => {}, :bought_at_int => {:index => :untokenized_omit_norms, :term_vector => :no}, :gift => {:index => :untokenized_omit_norms, :term_vector => :no}} def self.full_text_search(query, category_id) return nil if query.nil? or (query == '''') query += " +category_id:{category_id} +bo...

I''ve been trying to implement acts_as_ferret in my latest project and ran into a snag. If I do a search for ''auditor state'' then the search works perfectly. If I include a stop word, as in ''auditor of state'', then I get no results. I''d prefer not to set stop words to nil and index everything. The solution, that I have yet to attempt, is to use

...t;{}, :product_id=>{:index => :untokenized}, :product_description=>{}, :product_label_description=>{}, :product_label_free=>{}, :product_product_id_supplier=>{}, :product_description_supplier=>{}, :supplier_description=>{}, :pub_date_sort => {:index => :untokenized_omit_norms, :term_vector => :no}, :location_id => {:index => :untokenized}, :tab => {:index => :untokenized}},:remote => false}) THis will do the ferret locally without the DRB server. Works ok. If I change this to: class Mutation < ActiveRecord::Base acts_as_ferret ({:fields =&...

...I get a result count but no results. If I run the same search from one of the children STI models I get the appropriate results (if the information was indexed). Here''s my setup: class Record < CachedModel acts_as_nested_set acts_as_ferret( :fields => { :lft { :index => :untokenized_omit_norms }, :name => {}, :desc => {}, :body => {:strore => :yes}, :role => {}, }) def self.inheritance_column ''role'' end # methods below ..... end class FirstRecord < Record end class SecondRecord < Record end class ApplicationControll...

...e, which I handle using a fuzzy search) So then call an analyzer in my acts_as_ferret declaration: acts_as_ferret({ :fields => {:first_name => {:store => :no}, :last_name => {:store => :no}, :db_state => {:index => :untokenized_omit_norms, :term_vector => :no}}, :remote => true}, {:analyzer => UtfAnalyzer.new}) Here''s the analyzer I''m using... pretty much taken from from here: http://ferret.davebalmain.com/api/classes/Ferret/Analysis/MappingFilter.html ----- class UtfAnalyzer < Fer...

Hi all, I have indexes on 2 models e.g Message model acts_as_ferret(:store_class_name => true, :fields =>{:message => {:store => :compressed}, :felix_user_id => {:index =>:untokenized_omit_norms,:store => :no}) and the chat model acts_as_ferret(:store_class_name => true, :fields => {:name => {:store => :no},) where mesage belongs to chat. When i search a keyword,it could be present in message or it could be present in chat name. So im doing a multi-sear...

Hey all, How can I search date with ferret? Do I need to submit them in a special format? Right now I have in my Item model: acts_as_ferret :fields => [:created_on] with eg created_on = Thu May 11 17:00:00 -0500 2006 now when I do Item.find_by_content("created_on:<#{Time.now}") I get nil, I''m probably doing something wrong. Any idea how to fix it? thanx in advance

...:store => :yes}, :sub_title => {:store => :yes}, :url => {:store => :yes}, :rank_sort => {:index => :untokenized}, :last_updated_at_sort => {:index => :untokenized_omit_norms, :term_vector => :no}}, :remote => true def rank_sort begin return self.rank_links.to_i rescue return nil end end def last_updated_at_sort begin self.last_updated_at.to_i rescue return nil end end -- Posted via htt...

I was wondering about the potential impact of setting the boost field for an index after the index has been created and optimized. I know that some field_info settings can''t really be modified, such as :store or :tokenize, as they really apply when you are indexing, but is boost? If boost is only used for searching, can it be modified dynamically when searching? Thanks for any

Hi I use Ferret 0.11.4 and the latest stabel version of the acts_as_ferret plugin. To the issue. if I do Model.rebuild_index and after that try to update one of my objects of that Model I get: File Not Found Error occured at <except.c>:117 in xpop_context Error occured in fs_store.c:329 - fs_open_input tried to open

Hi, I have a model which has properties, these are your standard name/value pairs, but also have attributes that affect how I want to store them in ferret. I was using 0.9.5 with 0.2 of aaf, which seemed fine, I just copied and pasted (yes, I know, ick) the to_doc method and added code to iterate though the properties that that model had, and add relavent fields to the document. It seems