I think you can store field "x" using byte[] as one Field and index it
using String as another Field. Or define your own FieldType and use
the Field(String name, byte[] value, FieldType type) constructor. Or
is that where you're getting an Exception?
How big is your index, or how small are your disks?
--
Ian.
On Tue, Feb 12, 2013 at 10:56 AM, Ramprakash Ramamoorthy
<youngestachie...@gmail.com> wrote:
> 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.
>> >>
>> >> ---------------------------------------------------------------------
>> >> To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org
>> >> 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
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