similar to: aligning Ferret''s IndexSearcher.search API with Lucene''s

Hi List, I''ve took some time and made some tests on the performance of java-lucene, hyperestraier and ferret as Dave encourages the community of ferret to do so. Quite intersting numbers. Ferret indeed deserves to be called a high-performance port!! It''s MyFirstBenchmark ( http://ferret.davebalmain.com/trac/wiki/MyFirstBenchmark ) so please don''t be too cruel on

Hi! First, thanks a LOT for ferret. The API and documentation is great. I''m trying to integrate ferret into a RoR app (DamageControl) and have run into a problem with locks. DamageControl consists of two processes that start up and run in parallel. The first one is the webapp (which is just a plain RoR app). The second is a daemon process that runs in the background. The daemon process

I was wondering if there was a good way to either balance the relevancy score with recentness of matching documents- or include the recentness in the score somehow? Thanks, Ben -- Posted via http://www.ruby-forum.com/.

Hey.. i am just browsing through the lucene features and i''m wondering if this feature is available in ferret as well .. # multiple-index searching with merged results this would be nice, as i''m thinking about several indexes, as i am using a lot of wildcard queries for livesearches like google suggest. i think the performance would increase, if i split my rather big index in

Lucene''s standard analyzer splits words separater with underscores. Ferret doesn''t do this. For example, if I create an index with only document ''test_case'' and search for ''case'' it doesn''t find anything. Lucene on the other hand finds it. The same story goes for words separated by colons. Which analyzer should I use to emulate

Hi all This week I have worked with Rails and Ferret to test Ferrets (and Lucenes) capabilities. I decided to make a mixin for ActiveRecord as it seemed the simplest possible solution and I ended up making this into a plugin. For more info on Ferret see: http://ferret.davebalmain.com/trac/ The plugin is functional but could easily be refined. Anyway I want to share it with you. Regard it as a

Hi all This week I have worked with Rails and Ferret to test Ferrets (and Lucenes) capabilities. I decided to make a mixin for ActiveRecord as it seemed the simplest possible solution and I ended up making this into a plugin. For more info on Ferret see: http://ferret.davebalmain.com/trac/ The plugin is functional but could easily be refined. Anyway I want to share it with you. Regard it as a

Here''s the deal: static TopDocs *isea_search_w(Searcher *self, Weight *weight, int first_doc, // OFFSET int num_docs, // LIMIT Filter *filter, Sort *sort, filter_ft filter_func,

Hi there, What''s the current status of the Windows port? I may be in a position to lend a hand over the next couple of weeks - where should I start looking? And what''s the best way to get SVN HEAD? This happens: $ svn checkout svn://www.davebalmain.com/ferret/trunk ferret svn: Can''t connect to host ''www.davebalmain.com'': Connection refused --

Hello. I''m the author of DataMapper (http://datamapper.org), and am trying to choose what Full-Text-Indexing engine/plugin I want to include by default. I was hoping you guys could help. :-) Sphinx comes highly recommended, but without live index updates, it just doesn''t seem practical for most of my work. I''m most experienced with Solr, but the whole HTTP::Request and

I am indexing over 10,000 rows of data, it is very slow when it is indexing the 100,1000,10000 row, and now it is over 1 hour passed on the row 10,000. how to make it faster? here is my code: ================== doc = Document.new doc << Field.new("id", t.id, Field::Store::YES, Field::Index::UNTOKENIZED) doc << Field.new("title", t.title,

I am using ferret right now, and it works great for all my regular text documents/information. My problem arises when I want to index/search all of our assets (mostly pdf files). Currently, there is no way to READ pdfs from Ruby. Because of this I have to resort to using Java to read the PDF''s and then Lucene to index them. My problem here is a couple things. One, to index a asset I have

Hey folks, Some good news. I''ve finished cFerret and it''s ruby bindings to the point where I can run all of the unit tests. I still have to work out how I''m going to package and release it but it shouldn''t be long now. If you can''t wait you might like to try it from the subversion repository. It''ll probably only work on linux at the moment and

Is there a fast way to determine how many documents a term occurs in, besides iterating through every document with TermDocEnum? -- Best regards, Stian Gryt?yr

I was having some odd results when working with acts_as_ferret (current trunk), so I decided to test with the current version of ferret to see if I encountered the same problem. I did. Here are the details: installed ferret 0.10.10 on debian sarge with ''sudo gem install ferret'' (btw, same results on OSX) opened up an irb session: irb(main):001:0> require

I''m trying to generate a rails pagination helper for some ferret search results, and I need to know how many total matches there are to my search query. I don''t see an obvious way of finding this. Any help would be appreciated. Thanks, Carl Youngblood

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

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, I''m having some trouble with ferret search_each. I''m posting rails'' script/console output, so I guess you can decrypt it: >> res = [] => [] >> index.search_each(''name: a*'') do |doc, score| ?> res << doc >> end => 50 >> res.size => 10 >> I''m guessing the ''=>50''

Hi, I''m trying to get parallelized ferret indexing working for my AAF indices, based on the example in the O''Reilly Ferret shortcut. However, the resulting indices after merging seem to have no actual documents. I went and made minimal changes to the example in the Ferret shortcut pdf, and indeed can''t get that to work either. I''d appreciate any help