Hello,
I've just started using Lucene and I'm not sure which Query Classes I
should use in my project.
My goal is to compare paragraphs of text. Paragraph A is a query and
paragraph B is a document for which I would like to calculate similarity
score.
the paragraphs A and B can be in some
First, start with Solr and use the edismax query parser with the default
query operator as OR and set pf, pf2, and pf3, and then simply query by
the raw text of the paragraph. This will order the results by how closely
the indexed paragraphs match the query paragraph.
This is also a good
thanks, I will try it
gosia
On Fri, Jun 14, 2013 at 10:33 AM, Jack Krupansky j...@basetechnology.comwrote:
First, start with Solr and use the edismax query parser with the default
query operator as OR and set pf, pf2, and pf3, and then simply query by
the raw text of the paragraph. This will
On Jun 12, 2013, at 5:26 PM, Michael Sokolov msoko...@safaribooksonline.com
wrote:
On 6/12/2013 7:02 PM, Steven Schlansker wrote:
On Jun 12, 2013, at 3:44 PM, Michael Sokolov
msoko...@safaribooksonline.com wrote:
You may not have noticed that CharFilter extends Reader. The expected
Hello All,
I have a new requirement within my text search implementation to perform
stemming. I have done some research and implemented snowball, but however
the customers found it too aggressive and eventually I got them to agree to
compromise on k-stem algorithm.
Currently my existing code is
Look at the javadocs of the analysis package and the Analyzer class, there it
is explained how Analyzers are built - the first example is the way to go:
http://lucene.apache.org/core/4_3_0/core/org/apache/lucene/analysis/Analyzer.html
-
Uwe Schindler
H.-H.-Meier-Allee 63, D-28213 Bremen
Awesome! Exactly what I was looking for.
Thanks Schindler.
Uwe Schindler wrote
Look at the javadocs of the analysis package and the Analyzer class, there
it is explained how Analyzers are built - the first example is the way to
go:
Quick question on segments:
For my use case of having all docs sorted by a static rank and being able
to cut off retrieval after a certain number of docs, I have to sort all my
docs using the static rank (and Lucene 4 has a way to do this).
When an index has multiple segments, how does this
I have a solr index built with solr 1.4 a few years ago, and later upgraded
to solr 3.6, and now the index is consisting of 150 million documents.
Now I want to read all values of a DateField from the index. But it turns
out that for nearly 100 million documents, document.get('date') return
: I used solr to query the index, and verified that each document does have a
: non-blank date field. I suspect that it's because the lucene-3.6 api I am
: using can not read datefield correctly from documents written in lucene 1.4
: format.
how did you verify that they all have a non-blank
Hoss,
I did in two ways. The first is the 1) in your list, q=date:* match
q=*:*.
And all fields are stored in the index. I got a doc id (say 3315), do
q=id:3315, the output contain the datefield and value.
Anyway, I am 100% sure every doc has a date field and value indexed and
stored there.
I did System.println(d.get('date')), and the output is
stored,binary,omitNorms,indexOptions=DOCS_ONLYdate:[B@4cbfea1d
Emmm.
On Fri, Jun 14, 2013 at 4:05 PM, Chris Hostetter
hossman_luc...@fucit.orgwrote:
: I used solr to query the index, and verified that each document does
have a
:
Figured out the solution.
The datefield in those documents were stored as binary, so what I should do
is
Fieldable df = doc.getFieldable(fname);
byte[] ary = df.getBinaryValue();
ByteBuffer bb = ByteBuffer.wrap(ary);
long num = bb.getLong();
ate dt =
Hi
I have just started out on lucene and experimenting with some possibilities.
My goal is to try to exploit an existing database index (which in my case
is an inverted index) to serve as a Lucene Index.
this helps me avoid need of additional indexing time and storage space.
Is this possible ?
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