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From Paul Elschot <paul.elsc...@xs4all.nl>
Subject Re: Can I filter the results returned by IndexReader.terms(term)?
Date Wed, 03 Sep 2008 17:21:43 GMT
Another way is to use the trunk, where Scorer is a subclass of
DocIdSetIterator, which is returned by a Filter.
This allows to create a TermFilter that returns a TermScorer
(which is based on TermEnum internally.)

Try wrapping it in a CachingWrapperFilter when it needs to be reused.
Finally,  have a look here to see whether it could help in your case:
https://issues.apache.org/jira/browse/LUCENE-1296

Regards,
Paul Elschot



Op Wednesday 03 September 2008 18:00:27 schreef mark harwood:
> One way is to read TermDocs for each candidate term and see if they
> are in your filter - but that sounds like a lot of disk IO to me when
> responding to individual user keystrokes. You can use "skip" to avoid
> reading all term docs when you know what is in the filter but it all
> seems a bit costly.
>
> It's hard to optimise in advance for this, especially if the filter
> is an arbitrary choice of documents for each user.
>
>
>
> ----- Original Message ----
> From: AdrianPillinger <apill@dolby.com>
> To: java-dev@lucene.apache.org
> Sent: Wednesday, 3 September, 2008 16:54:11
> Subject: Can I filter the results returned by
> IndexReader.terms(term)?
>
>
> I am using IndexReader.terms(term) to produce term suggestions to my
> users as they type. In many cases the user is searching lucene with a
> filter applied, for example a date range.
>
> Is there any way I can get a list of terms in the index that are
> contained within a subset of the documents by a given filter.
>
> i.e. I'd like to do something like....
>
> ...
> IndexReader reader = readerProvider.openReader(directoryProvider);
> reader.filterDocument(filter);
> TermEnum termEnum = reader.terms(new Term("name", "<user entered
> term>")); ...Iterate on terms
> ....
>
>
> I've scouted all over the API and I cannot find how to do this or if
> it is possible.
>
> Please let me know if it can be done and if so how.
>
> Thanks!



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