search for: lazydoc

Hi again, fields() method of Ferret::Index::LazyDoc return an array of integer (maybe the integer of the symbol? I don''t know) instead of symbols as explained in the doc : http://ferret.davebalmain.com/api_0.10.0/classes/Ferret/Index/LazyDoc.html#M000042 Any ideas ? -- Posted via http://www.ruby-forum.com/.

...arm of Ferret servers across the network using DRb. In a specific part of my program, I''m trying to find an entry across servers, and for that, I''m using index[''example_doc_id''].load as the return value of the function in question. This returns a Ferret::Index::LazyDoc, which is all fine and dandy, except that for some reason DRb doesn''t like it and won''t return the "hash" to the remote client. I tried using index[''example_doc_id''].load.to_a, and the array gets returned just fine. For the record, yes, I''ve t...

Hi .. i''ve been using lazydocs for quite some time now and it''s a real pleasure working with them.. you should definately use them.. http://ferret.davebalmain.com/api/classes/Ferret/Index/LazyDoc.html my implementation: http://blog.omdb-beta.org/2006/12/12/lazydocs-and-database-objects as far as i know, Jens wan...

Hi, i''m working on a project using Ferret for indexing it''s datas. I''m very happy with it but i need to code an extension to implement a .to_json method to TopDocs class, because ruby''s json implementation is really really slow... It''s my second (the first was the tutorial :/ ) ruby C extension, so i''m not really at ease with ruby C

Hi, We have an index of around 1M web pages as part of our web app. The app uses ferret by way of RDig to perform searches. We have noticed anecdotally that some searches don''t work the way we thought they should, as if documents were missing from the index. Yesterday we came upon a concrete instance of this. Our documents have several fields, one of which is called :keywords and

Hi everyone, thank you for the help last time. A quick question, through rereading the ferret tutorial I realized that by adding :key => :id to the index loading, I could access my documents through index["11"], in addition to using the doc_id from ferret through index[122]... This is great, and saves me a line or two a lot of places in my code. However, is there a way of extracting

I''m getting a segmentation fault on a large index (15GB). I''m running ferret 0.11.4 on OpenSuSE 10.2 with ruby 1.8.6. The segmentation fault appeared after I optimized the index, see further below for the error message I got before that. Ferret works perfectly on other (smaller) indexes. Is this a known issue, and if so, is there a workaround? --------------------- after