Ian and et al,
Just a doubt. Now that I have to index and store(disk space is a
constraint here). I have identified that storing as byte[] helps save some
disk. But it isn't possible to index a byte[], am getting an exception when
the field to be indexed is a byte[].
So how do I go about this?
On Mon, Feb 11, 2013 at 8:43 PM, Ian Lea <ian....@gmail.com> wrote:
> Yes, that looks fine. As far as I'm aware the compression is low
> level and transparent to user code.
>
>
> --
> Ian.
>
>
> On Mon, Feb 11, 2013 at 2:59 PM, Ramprakash Ramamoorthy
> <youngestachie...@gmail.com> wrote:
> > On Mon, Feb 11, 2013 at 7:10 PM, Ian Lea <ian....@gmail.com> wrote:
> >
> >> StoredField does indeed only store the field, not index it.
> >> MatchAllDocs will find it because, by definition, it matches all docs.
> >> But other queries won't.
> >>
> >
> > That was pretty clear Ian. Thanks a lot.
> >
> >>
> >> Not sure what you mean when you say you are particular about stored
> >> fields. If you need to get it back from the index, store it. If you
> >> don't, don't. Same for indexing - don't index fields you don't need
> >> for searching.
> >>
> >
> > All my fields are supposed to be searchable(indexed) and stored as well.I
> > was actually trying to leverage the new stored fields compression in 4.1.
> > So when I say,
> >
> > IndexWriterConfig indexWriterConfig = new
> > IndexWriterConfig(Version.LUCENE_41, analyzer);
> > fieldType.setIndexed(true);
> > fieldType.setStored(true);
> > fieldType.setTokenized(false);
> > doc.add(new Field("published", b.getPublished(), fieldType));
> >
> > This means that my docs will be indexed and stored in the compressed
> > format? Hope I am right this time? Thanks Ian.
> >
> >>
> >>
> >> --
> >> Ian.
> >>
> >>
> >
> >
> >
> >>
> >> On Mon, Feb 11, 2013 at 12:53 PM, Ramprakash Ramamoorthy
> >> <youngestachie...@gmail.com> wrote:
> >> > Team,
> >> >
> >> > I am facing a strange issue with term queries and stored
> >> fields.
> >> > Here is how I index and fetch the query results,
> >> >
> >> > Case 1 :
> >> > doc.add(new StoredField("published", b.getPublished()));
> >> > Query query = new MatchAllDocsQuery();
> >> >
> >> > Results : No of hits : 8(Expected)
> >> >
> >> > Case 2 :
> >> > doc.add(new StoredField("published", b.getPublished()));
> >> > Query query = new TermQuery(new Term("published", "2012"));
> >> >
> >> > Result : No of hits : 0 (Expected - 4)
> >> >
> >> > Case 3 :
> >> > doc.add(new Field("published", b.getPublished(), fieldType));
> >> > Query query = new TermQuery(new Term("published", "2012"));
> >> >
> >> > Result : No of hits : 4(Expected)
> >> >
> >> > Does StoredField means only store and no index? But in that case, how
> >> does
> >> > the match all docs query work? I am puzzled.
> >> >
> >> > I am particular about stored fields, because of the compressed size of
> >> the
> >> > index. How do I go about this? Or am I missing something that is
> >> obviously
> >> > basic. Please help.
> >> >
> >> > --
> >> > With Thanks and Regards,
> >> > Ramprakash Ramamoorthy,
> >> > India.
> >>
> >> ---------------------------------------------------------------------
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> >> For additional commands, e-mail: java-user-h...@lucene.apache.org
> >>
> >>
> >
> >
> > --
> > With Thanks and Regards,
> > Ramprakash Ramamoorthy,
> > India
> > +91 9626975420
>
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>
>
--
With Thanks and Regards,
Ramprakash Ramamoorthy,
India.
+91 9626975420
