similar to: trouble with PerFieldAnalyzer

Is there a way to add per-field analyzer? I can''t seem to find a way to do that. Thanks -- Kent --- http://www.datanoise.com

I''ve successfully installed ferret and acts_as_ferret and have no problem with utf-8 for accented characters. It returns correct results fot e.g. fran?ais. My problem is with non latin characters (Persian indeed). I have tested different locales with no success both on Debian and Mac. Any idea? (ferret 0.11.4, acts_as_ferret 0.4.0, rails 1.1.6) -- Posted via http://www.ruby-forum.com/.

Using acts_as_ferret I''m trying to do a query like: active:(true) title|body:(#{params[:s]}) product_price:( >= #{params[:min]}) Where I want to return only the active products that contain the search term in the title or body and has a minimum price >= params[:min] I''m finding that even though I''m indexing the product price as an integer (so no .00 to cause

Hi all, I''ve posted that few weeks ago but no one answered, but this feature is REALLY important for us. I have many objects with a url field, of course containing standards urls... I''m trying to match them but i actually got problems with that. Here''s a little code of what i would like to achieve: require ''rubygems'' require

Hi,David Can you give me an example of how to add analyzer to ferret to Asian languages? My web application will have to support multi language search,which means,for example,both Chinese and English will be searched through the form. Currently,I have decided to use the simple token principles,which means that every Chinese character will be a token,although this is not so well in some

There is serious memory leak bug in ferret. I''m having this error on TextDrive Container (aka. Joyent Accelerators) OpenSolaris with Ferret 0.11.4 It happens while searching for some terms with accented or special characters. This makes ferret to allocate lots of memory (usually reaching 3+ GB) and failing if another query like this is executed. Any ideas on that, could this be locale

Hi, We''re using Ferret 0.9.4 and we''ve observed the following behavior. Searching for ''fieldname: foo and bar'' works fine while ''fieldname: "foo and bar"'' doesn''t return any results. Is there a way to make ferret recognize the ''and'' inside the query as a search term and not an operator? (I hope I got the

Hi! I wanted to build my own custom Analyzer like so: class Analyzer < Ferret::Analysis::Analyzer include Ferret::Analysis def initialize(stop_words = ENGLISH_STOP_WORDS) @stop_words = stop_words end def token_stream(field, string) StopFilter.new(LetterTokenizer.new(string, true), @stop_words) end end As one can easily spot, I essentially want

Hi, Can Ferret be configured to change the minimum word length of what it indexes? Right now it seems to drop words 3 characters or less, but I''d like to include words going down to 2 characters. How would I do that? Francis

Hi, it looks like Ferret still compares numeric fields by lexical ordering, not numerical ordering. I am using Ferret 0.11.4(I tried in both linux and windows, the results are the same). index = Ferret::Index::Index.new() docs = [ {:num => 1, :data => "yes"}, {:num => 1, :data => "no"}, {:num => 10, :data => "yes"}, {:num => 10, :data

Hello everyone, we''ve recently discovered a memory leak in the PerFieldAnalyzer. If you use the PerFieldAnalyzer (which you acutally should), you should switch to a pure ruby version of that analyzer. The C version of the Analyzer is consuming memory on every analyzing request. You can find an example script to verify the leak[1]. Furthermore we''ve added a workaround, building

Hi again, I''m using ferret to index source code - DamageControl will allow users to search for text in source code. Currently I''m using the default index with no custom analyzer (I''m using the StandardAnalyzer). Do you have any recommendations about how to write an analyzer that will index source code in a more ''optimal'' way? I.e. disregard common

I can consistently segfault the 0.10.4 gem, so I''m trying to get the subversion version working with hopes towards tracking the problem down. I have a fresh SVN checkout but: a) the version (in ferret.rb) claims to be 0.9.6; and b) Ferret::Index::FieldInfos and a couple other classes are missing at run time. It looks like this is because they''re not exported in the C

Hi All, Does anyone know if you can user PerFieldAnalyzer with the acts_as_ferret method? My goal is to index fields with different analyzers for a class. Thanks in advance! Miguel -- Posted via http://www.ruby-forum.com/.

Hi all, I cannot make aaf (rev. 220) use my custom analyzer, despite following the indications @ http://projects.jkraemer.net/acts_as_ferret/wiki/AdvancedUsage To pinpoint the problem, I created a model + a simple analyzer with 2 stop words : "fax" and "gsm". test 1 : model.rebuild_index + model.find_by_contents("fax") # fax is a stop word. => I get a

Hi, I just started using ferret and the aaf plugin and it seems to work quite nicely. However, my fields are very short (titles of music) and I don''t think may users will be typing in apostrophes when they are looking for something. Right now, for a simple document such as "what i''ve done" I''d like it to be indexed as "what ive done" instead. Right

Hi all, maybe not a Ferret question, but I assume here might have came across that already. I wrote a simple CGI app that adds docs into a Ferret index. The idea is testing asian languages input and searching. The script that does the input seems to be OK. As David mentioned in a question I made a little while ago, Ferret''s index is agnostic, in the sense that you can store anything in

Is there any schema of full-text search that support utf-8 especially for Asia language such as Chinese,Japanese,etc. Ferret/acts_as_ferret can not work when these language key words are searched,and also, it is difficult to implement pagination-which need both the count of search results and offset. Very grateful! -- Posted via http://www.ruby-forum.com/.

Hello all, Quick question, I''m using AAF and the following custom analyzer: class StemmedAnalyzer < Ferret::Analysis::Analyzer include Ferret::Analysis def initialize(stop_words = ENGLISH_STOP_WORDS) @stop_words = stop_words end def token_stream(field, str) StemFilter.new(StopFilter.new(LowerCaseFilter.new(StandardTokenizer.new(str)), @stop_words)) end However when

I have got my database in Mysql. I used ferret to index a table with 10 million rows. On limiting the selection of data to 1000 initial retrieval, it takes 200 seconds but for the whole table it took more than four hours and after which i had to close my indexing application. I used the StandardAnalyser for it. There is no problem from the database side as retrieval of all the data in the table