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Date: Mon, 8 Apr 2013 08:39:32 +0200
Message-ID: 
 <CAAHmpki4f5Av0zfc8WyEcSj_-fjv3idzDcROqnfB4__6AnZ7vQ@mail.gmail.com>
Subject: Re: Token Stream with Offsets (Token Sources class)
From: Simon Willnauer <simon.willnauer@gmail.com>
To: java-user@lucene.apache.org
Content-Type: text/plain; charset=UTF-8

hey,

first, please don't crosspost! second, can you provide more infos like
that part where you index the data. maybe something that is
selfcontained?

simon

On Mon, Apr 8, 2013 at 1:16 AM, vempap <phani.vempaty@emc.com> wrote:
> Hi,
>
>   I've the following snippet code where I'm trying to extract weighted span
> terms from the query (I do have term vectors enabled on the fields):
>
>                 File path = new File(
>                                 "<path-to-index-dir>");
>                 FSDirectory directory = FSDirectory.open(path);
>                 IndexReader indexReader = DirectoryReader.open(directory);
>
>                 Map<String, WeightedSpanTerm> allWeightedSpanTerms = new HashMap<String,
> WeightedSpanTerm>();
>
>                 WeightedSpanTermExtractor extractor = null;
>                 extractor = new WeightedSpanTermExtractor();
>                 TokenStream tokenStream = null;
>                 tokenStream = TokenSources.getTokenStreamWithOffsets(indexReader, 0,
> "name");
>                 allWeightedSpanTerms.putAll(extractor.getWeightedSpanTerms(q,
> tokenStream));
>
> In the end, if I look at the map "allWeightedSpanTerms" - I don't have any
> weighted span terms & when I tried to debug the code I found that when it is
> trying to build the TermContext the statement "fields.terms(field);" is
> returning "null" which I don't understand.
>
> My query is : "Running Apple" (a phrase query)
> my doc contents are :
> name : Running Apple 60 GB iPod with Video Playback Black - Apple
>
> Please let me know on what I'm doing anything wrong.
>
> Thanks.
>
>
>
>
> --
> View this message in context: http://lucene.472066.n3.nabble.com/Token-Stream-with-Offsets-Token-Sources-class-tp4054383.html
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