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From: "Uwe Schindler" <uwe@thetaphi.de>
To: <java-user@lucene.apache.org>
References: <279092301003302206n67a51f1fkf9d493f725f745d0@mail.gmail.com>
 <Pine.LNX.4.64.1004051115510.26799@radix.cryptio.net>
In-Reply-To: <Pine.LNX.4.64.1004051115510.26799@radix.cryptio.net>
Subject: RE: fastest way to gather simple terms that match documents?
Date: Mon, 5 Apr 2010 20:49:56 +0200
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Alternatively index your documents with term vectors for the field =
enabled:

http://lucene.apache.org/java/3_0_1/api/all/org/apache/lucene/document/Fi=
eld.TermVector.html

And then use IndexReader.getTermFreqVector() with the matching doc ID:

http://lucene.apache.org/java/3_0_1/api/all/org/apache/lucene/index/Index=
Reader.html#getTermFreqVector(int, java.lang.String)

Uwe

-----
Uwe Schindler
H.-H.-Meier-Allee 63, D-28213 Bremen
http://www.thetaphi.de
eMail: uwe@thetaphi.de


> -----Original Message-----
> From: Chris Hostetter [mailto:hossman_lucene@fucit.org]
> Sent: Monday, April 05, 2010 8:24 PM
> To: java-user@lucene.apache.org
> Subject: Re: fastest way to gather simple terms that match documents?
>=20
>=20
> :     After I've run a query I need to know which terms matched each
> : result document (ie doc termfrequency>0).
> 	...
> : I don't care how many were found or what position or anything else.
> : just which ones matched.
>=20
> if all you care about is simple "which terms does it have" you can =
take
> your list of terms, and your list of docids, sort both lists and then
> use
> termDocs to loop over the terms and over the docs.  (the sorting is =
key
> for performance, because it allways you to alwasy skip forward, w/o
> needing to restart the termDocs)
>=20
> something like...
>=20
> TermDocs iter =3D indexReader.termDocs();
> for (Term t : myTerms) {
>   iter.seek(t);
>   for (int docid : myDocs) {
>     if (iter.skipTo(docid) && (iter.doc() =3D=3D docid)) {
>       doSomethingWith(t, docid);
>     }
>   }
> }
>=20
>=20
>=20
> -Hoss
>=20
>=20
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