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From Marco <>
Subject Re: EdgeNGramTokenizer
Date Tue, 30 Oct 2007 17:35:03 GMT
It seems that the problem is when I add the token created by 
EdgeNGramTokenizer in in the index.
If the token contains a space (for example apple com) I have to add to 
the index with Field.Index.TOKENIZED otherwise the search cannot find it.
If there is no space there is no problem even if I use 
So I'd like to know if there is speed search difference insertinf a 
Best regards

Marco ha scritto:
> Hi all,
> I'm following the suggestion of this forum on how create a suggestion 
> service like google suggest.
> I'm parsing a words/rank file with my words.
> For each word, I'm adding a document with content and rank in in 
> index: then I create a EdgeNGramTokenizer of the word. This gives me N 
> words and I add each one in a new field of the index.
> So for each word in the index I have:
> - content (for example apple)
> - rank
> - X initial letters of the word (for example app)
> - X+1 initial letters of the word (for example appl)
> - X+2 initial letters of the word (for example apple)
> ....
> - Y initial letters of the word (for example app)
> I add each additional field in the index as:
> doc.add(new Field(name_gram, tn.termText(), Field.Store.NO, 
> Field.Index.UN_TOKENIZED));
> When an user search a word, for example app, I have to query the index 
> the right field.
> I calculate the length of the input and the I query the right field 
> and the I get the content of the docs.
> Is it ok?
> For search I use:
> String field_ok = field + line.length(); QueryParser parser = new 
> QueryParser(field_ok, analyzer);
> Query query = parser.parse(line);
> System.out.println("Searching for: " + query.toString(field_ok));
> Hits hits =, new Sort("rank", true));
> All is ok if the input of the user doesn't contain spaces...
> Am I missing something?
> Best regards
> Marco
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